#how to skew your data collection upfront
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Sometimes when I'm bored I respond to survey requests that I got from like online retailers and such.
Here I am filling out the super standard demographics section and then it asks what my highest level of education is and the options are either primary or secondary, no option to select any level of higher education... so, I see your survey will have realistic results, company. No incorrect demographic information at all, everyone who took the survey is only educated to secondary level... clearly...
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Crowdsourcing & Crowdfunding
What is crowdfunding?
Crowdsourcing is the method of enlisting the help of a large number of people to perform tasks, generate ideas, or create material (Brunelli 2020).
Consumers, residents, entrepreneurs, experts, and enthusiasts make up the crowd. Crowds can be tasked with a variety of goals, including citizen or consumer participation, demand validation, user-centred product growth, brand recognition, and solving unanswered problems, to name a few.
Crowdsourcing Company That Is Killing It
LEGO
LEGO created the LEGO Ideas website, which allows users to submit new LEGO set ideas. Consumers can also vote and provide input on the proposals that have been submitted. LEGO evaluates every proposal that has earned more than 10,000 votes. If a submitter's concept is chosen, he will have the opportunity to collaborate with the LEGO team to bring his vision to life, as well as receive revenue from sales (Anon 2018). By allowing users to engage in the design process, the group gains confidence, and they appreciate the creative outlet as a result. The Beatles' "Yellow Submarine" set is one of the most well-known collections to date.
Advantage and Disadvantage of Crowdsourcing
Advantage: A Lighter Management Load
When a company innovates internally, the person in charge of leading and coordinating the project is always burdened with a significant management responsibility. Thinkers and designers need to be reminded and even encouraged to contribute their ideas. With crowdsourcing, a company or organisation simply establishes specific terms and conditions for the exercise, then sits back and waits for the ideas to come in. This hands-off approach saves time compared to conventional ideation processes and allows people to concentrate on more interesting things.
Disadvantage: Intellectual property and confidentiality
Although delegating the task to third parties has several advantages, it also has intellectual property implications. If a participant submits a great idea, and the organisation implements it, all parties must be transparent about who owns the idea and who should profit from it.
If a company is looking for solutions to a product packaging problem, for example, this may indicate a flaw in the company's current packaging systems.
Crowdfunding: GoFundMe
GoFundMe allows regular people to accomplish extraordinary things with easy-to-use personal donation websites. From exciting life events like weddings & graduations to challenging circumstances like accidents & illnesses, the GoFundMe fundraising software remains one of the best ways to raise money online.
According to Smith (2020), George Floyd's death sparked not only mass demonstrations against police violence and institutional injustice, but also a generous — and record-breaking — outpouring of donations to help those affected by these problems.
To summarize, crowdsourcing, when used appropriately, can be an effective tool for gathering information for design decisions. However, if used inappropriately, it may introduce skewed data that degrades usability. As for crowdfunding, it can be a cost-effective way to collect capital with no upfront costs. Using the internet to pitch a project or company can be a powerful means of marketing and can result in media attention.
What are your thoughts on crowdsourcing and crowdfunding?
References
Anon 2018, How Lego Uses Crowdsourcing for New Product Ideas | "Buy the Way…" Insights on Integrated Marketing Communication, viewed 4 May, 2021, <http://buytheway.ascjclass.org/how-lego-uses-crowdsourcing-for-new-product-ideas/>.
Brunelli, L 2020, What Is Crowdsourcing?, viewed 2 May, 2021, <https://www.thebalancecareers.com/what-is-crowdsourcing-3542321>.
Smith, M 2020, "More Than 500K People Helped GoFundMe Set Single-Day Giving Record After George Floyd’s Death", People, viewed 4 May, 2021, <https://people.com/human-interest/more-than-500000-people-donated-to-gofundme-campaigns-on-june-2-setting-single-day-record/>.
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How to Choose the Most Link-Worthy Data Source for Your Content
New Post has been published on https://tiptopreview.com/how-to-choose-the-most-link-worthy-data-source-for-your-content-2/
How to Choose the Most Link-Worthy Data Source for Your Content
Fractl has produced thousands of content marketing campaigns across every topic, and for the past seven years, we’ve been keeping track of each and every campaign in order to refine and improve the content we produce on behalf of our clients.
In my last post for Moz, I explained how to set realistic digital PR expectations for your content based on your niche. In this topic, I want to dive a little bit deeper into the data and share insights about how the source of your content can be just as important in determining how your content will perform.
In this analysis, I looked at 1,474 client content campaigns across six different data source categories:
Client data
Social media
Participatory methods
Publicly available data
Survey
Germ swab
It’s important to note that there are countless other data sources that we use for content campaigns every day at Fractl that are not mentioned in this article. In this analysis, each category has at least 20 campaigns, while some categories have several hundred campaigns.
It’s also important to note that averages were collected by excluding upper outliers. For campaigns that went “viral” and performed well above the norm, we excluded them in the calculation so as not to skew the averages higher.
In addition to sharing link and press averages, I will also be walking through how to produce pressworthy, sharable content from each data source and providing examples.
Managing expectations across content types
Across the entire sample of 1,474 campaigns, a project on average received 24 dofollow links and 89 press mentions in total.
A press mention is defined as any time the content campaign was mentioned on a publisher’s website.
There were some individual data source category averages that were on par with the sample average, while other categories deviated greatly from the sample average.
Publicly available data
For almost any niche out there, you can bet there is a publicly available data set available for use. Some examples include data from the CDC, the U.S. Census, colleges and universities, the WHO, and the TSA. The opportunities really are endless when it comes to using publicly available data as a methodology for your content.
While free data sets can be a treasure trove of information for your content, keep in mind that they’re not always the simplest to work with. They do require a lot of analysis to make sense of the massive amount of information in them, and to make the insights digestible for your audience.
Take for example a campaign we produced for a client called Neighborhood Names. The data was free from the US Census, but in order to make any sense of it, our researchers had to use QGIS, Python, text-mining, and phrasemachine (a text analysis API) just to narrow it down to what we were looking for.
And what were we looking for? Looking at neighborhood names across America seems boring at first, until you realize that certain words correspond to wealth.
I was the outreach specialist for this project, and by using the wealth angle, I was able to secure two notable placements on CNBC as well as a press mention on MSN. The project quickly made its way around the internet after that, earning 76 dofollow links and 202 total press mentions by the end of our reporting period.
Survey
Unlike scouring the internet for free data, using a survey as a methodology can be more costly. That being said, there is one major advantage to using a survey to shape your content: you can find out anything you want.
While publicly available data will tell a story, it’s not always the story you want to tell, and that’s where surveys come in.
Of course, when it comes to surveys, anyone can create one without paying attention to research method best practices. That’s one of the problems we need to address. With “fake news” in the forefront of everyone’s minds in 2020, building trust with journalists and editors is of the utmost importance.
As content creators, we have a responsibility to ensure that content is not only attention-grabbing and entertaining, but also accurate and informative.
Survey campaigns, in particular, require you to analyze responses through a rigorous methodological lens. When collecting data for surveys, be sure to pay close attention to ethical upholdance, data validity, and fair visual representations.
Germ swab
From my own personal experience, germ swab content campaigns are the most fun, and often, the most disturbing. Fractl did some research a while back about the emotions that make content go viral, and oftentimes, germ swab campaigns hit all of the right emotions in the viral equation.
Negative emotions like disgust are often evoked when reviewing the results of germ swab campaigns. Our study found that when negative emotions are paired with emotions like anticipation or surprise, they can still achieve viral success (internet viral, not germ viral). What is more surprising than finding out the airplane tray table is dirtier than a toilet seat?
Publishers around the world seemed to think the content was surprising, too. This campaign performed above the norm for a typical content campaign earning 38 dofollows and 195 total press mentions — and this was before the COVID-19 pandemic.
Participatory methods
Participatory methods are campaigns that require active participation for the methodology. These are unique ideas — no two are alike. Some examples of campaigns that fall under the participatory methods category are when we had team members do a 30-day squat challenge, asked respondents to draw brand logos from memory, or when we literally drove from D.C. to NYC with a dash cam to record traffic violations.
These campaigns have a certain level of risk associated with them. They require a lot of upfront effort and planning without the promise of any return — and that’s scary for clients and for our team who put in tremendous effort to pull them off.
As you can see from the chart above, however, these ideas collectively performed right on par with other campaign types, and even better than survey methodologies for both the number of dofollow links and press mentions. In order to reap big benefits, it seems you need to be willing to take a big risk.
Social media
Social media as a data source is almost a no-brainer, right up there with survey methodologies and publicly available data sets. Unlike participatory methods campaigns, you don’t have to leave your computer in order to produce a campaign based on social media data.
Through our seven years of content creation, Fractl has produced campaigns based on data scrapes from Twitter, Instagram, Facebook, LinkedIn, Reddit, and more. From this experience, we know firsthand what kinds of social campaigns work and which ones fall flat.
The best thing about using social media as a source for content is that it can be applied to all verticals.
The biggest lesson we’ve learned from producing content based on social media data is that the methodology is typically subjective, so you need to keep the project lighthearted in nature in order to earn major coverage.
For example, we produced a campaign for a client in which we looked at Instagram posts with the hashtag #sexy and a geolocation. From this, we were able to glean the “sexiest” countries in the world as well as U.S. states.
While it would be impossible to learn what the actual sexiest places in the world were, (what does that even mean?) we were able to produce a fun campaign that used geo-bait to appeal to lighthearted publishers, like Glamour, E! Online, Women’s Health, and Elite Daily.
Make sure that no matter the topic, whatever you produce contributes to an ongoing conversation. Statistics that don’t point to anything meaningful won’t be relevant for writers actually trying to add to the conversation.
Client data
Client data is often the most underappreciated data source for content marketers. You may be sitting on a wealth of actionable industry insights and not even know it.
You might think of internal data as only being useful for improving your internal processes at work, but it can also be valuable outside of your organization.
Unlike publicly available data, internal data is never-before-seen and 100% unique. Journalists eat this up because it means that you’re providing completely exclusive resources.
Think of this article, for example. This article is filled with data and insights that Fractl has gleaned after producing thousands of content marketing campaigns.
An added bonus of using internal data to craft your content is that, according to our analysis, it performs on par with surveys. Unlike surveys, though, it’s completely free.
Conclusion
No matter what methodology you’re using or vertical you’re creating content for, it’s important to realize that as content creators, we have an ethical and moral responsibility to create with an audience in mind.
With “fake news” on the forefront of everyone’s minds, building and maintaining trust with writers and editors is of the utmost importance.
All of the content you produce and promote must be assessed through a rigorous methodological lens to ensure that content is accurate and informative as well as eye-grabbing and entertaining.
Regardless of your methodology, if you don’t take the proper steps to make sure your data sources are accurate, you are contributing to the fake news epidemic.
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How does the quality of documents actually affect the pricing?
By Giovanni Cautillo
Special to Ontario Constrution Report
Ontario General Contractors’ Association (OGCA) president Giovanni Cautillo wrote this message for the association’s weekly newsletter. His points here have relevance to members and non-members alike.
In response to the question posed in the title of this article, I can sum up the entire editorial in just one word: completely.
I could have also used the words incredibly; definitely; absolutely; invariably; and vastly to also provide you with the causal link to the amount of time and effort that is placed into the information contained within project documents and the resultant price.
This is something that has not only been common knowledge in our contracting sphere, but something that at some point, every contractor has communicated directly to the owners.
The OGCA has been touting this interdependency for decades, and there has been a series of repeating ebbs and flows to the quality of the documentation provided. At times, there is a communal movement by the owners to better the process and then, and for no apparent reason, on mass, the owners revert back to lesser information.
Why? What would cause the owners to provide lesser information, knowing that by doing so, they are directly creating ambiguity and uncertainty, which equates to one word: risk?
And what do contractors do when confronted with risk? Why, they price accordingly based on the inherent level of said risk. Low risk equals a slight adjustment in costs. High risks translate into large presumptions, which necessitates increases in correlating costs.
I believe that, directly due to the pandemic, contractors are currently finding themselves in the latter category, and that owners are once again tabling projects with lesser information or information that is clearly “cut and pasted” from some previous project that has no place in the current package. The OGCA has been informed by some of our contractors that the current batch of tenders being tabled are amongst the worst they have seen for decades.
As you are all aware, the projects that OGCA contractors build are among the most complex and detailed-driven of all areas of construction, and therefore require the equivalent efforts being demonstrated by the owners to ensure that contractors have been afforded all details required to accurately bid.
I understand that bid packages that are 100 per cent complete will never truly occur since that would take into account potentially unforeseen variables from the onset, and by definition, that would negate the “unforeseen” aspect of those variables. But I do believe that contractors should be afforded more than a few proverbial scribbles on the back of a napkin and then be expected to accurately provide pricing with zero wiggle room for the contractor.
So what is the OGCA doing about this issue?
Well for one, the OGCA has actually never stopped dealing with this issue. Your association has constantly reminded construction owners that the inherent accuracy of pricing on a project is directly related to the detail contained within the project documents. And although our contractors are adaptable, not one of our contractors can create a “silk purse from a sow’s ear.”
Secondly, the OGCA, in conjunction with the Construction and Design Alliance of Ontario (CDAO), has commissioned a study that is being conducted by Ryerson University’s Institute for Infrastructure Innovation (RIII). The focus of the study is on the challenges the construction industry deals with in the form of cost overruns, schedule delays and litigation.
Ryerson will investigate the data, which was collected from various projects, to establish quantitative relationships between the upfront investment in pre-project planning and development, the quality of bid documents, and project performance indicators (e.g. change orders, cost overruns and schedule delays).
The data collection phase of the study is currently underway, and the OGCA welcomes any and all confidential project contributions that our members know of that would befit this endeavor. Ideally, this study will provide a cross-section of projects from the successful ones to the mediocre to the problem projects. I affectionately refer to this range as the “Good,” the “Bad,” and the “Ugly.” Click here for the English version of the survey. The survey is extended until July 31.
To date, this study has attracted some major participants from Ontario who have already provided sample projects. All contributors will remain anonymous to ensure that the data is seen through a clinical lens and not skewed due to any potential biases.
What do we hope to find? A direct causal and quantitative link to the amount of upfront investment into the quality of the documents being provided to the contractor and the outcome of said project.
Why do this, since I have already noted that this information is common knowledge in our contracting sphere?
Because it provides the entire construction industry, specifically the owners, with quantitative evidence to clearly demonstrate the synergistic effects that proper, upfront investment in pre-project planning and development in the quality of bid documents and the ultimate outcome of the project performance indicators. Additionally, the inverse will also be highlighted.
This study will then lead us to point three of what the OGCA is doing on this matter.
Ultimately, the industry will now have a comparative and quantitative study to utilize as evidence when approaching owners in our continuing discussions. The OGCA, along with the rest of the CDAO, will confront owners to communicate the findings and the appropriate actions to better some less than stellar situations.
The OGCA will continue to ensure that our voice is being heard and to get more owners to adopt better upfront investment in pre-project planning and development in the quality of the documents being issued for tenders.
Should you have any questions about the quality of documents or require assistance from the OGCA, please contact me directly at [email protected] or via phone at (905) 671-3969.
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How to Choose the Most Link-Worthy Data Source for Your Content Posted by Domenica
Posted by Domenica Fractl has produced thousands of content marketing campaigns across every topic, and for the past seven years, we’ve been keeping track of each and every campaign in order to refine and improve the content we produce on behalf of our clients. In my last post for Moz, I explained how to set realistic digital PR expectations for your content based on your niche. In this topic, I want to dive a little bit deeper into the data and share insights about how the source of your content can be just as important in determining how your content will perform. In this analysis, I looked at 1,474 client content campaigns across six different data source categories:
Client data
Social media
Participatory methods
Publicly available data
Survey
Germ swab
It’s important to note that there are countless other data sources that we use for content campaigns every day at Fractl that are not mentioned in this article. In this analysis, each category has at least 20 campaigns, while some categories have several hundred campaigns. It’s also important to note that averages were collected by excluding upper outliers. For campaigns that went “viral” and performed well above the norm, we excluded them in the calculation so as not to skew the averages higher. In addition to sharing link and press averages, I will also be walking through how to produce pressworthy, sharable content from each data source and providing examples.
Managing expectations across content types
Across the entire sample of 1,474 campaigns, a project on average received 24 dofollow links and 89 press mentions in total. A press mention is defined as any time the content campaign was mentioned on a publisher’s website. There were some individual data source category averages that were on par with the sample average, while other categories deviated greatly from the sample average.
Publicly available data
For almost any niche out there, you can bet there is a publicly available data set available for use. Some examples include data from the CDC, the U.S. Census, colleges and universities, the WHO, and the TSA. The opportunities really are endless when it comes to using publicly available data as a methodology for your content. While free data sets can be a treasure trove of information for your content, keep in mind that they’re not always the simplest to work with. They do require a lot of analysis to make sense of the massive amount of information in them, and to make the insights digestible for your audience. Take for example a campaign we produced for a client called Neighborhood Names. The data was free from the US Census, but in order to make any sense of it, our researchers had to use QGIS, Python, text-mining, and phrasemachine (a text analysis API) just to narrow it down to what we were looking for. And what were we looking for? Looking at neighborhood names across America seems boring at first, until you realize that certain words correspond to wealth. I was the outreach specialist for this project, and by using the wealth angle, I was able to secure two notable placements on CNBC as well as a press mention on MSN. The project quickly made its way around the internet after that, earning 76 dofollow links and 202 total press mentions by the end of our reporting period.
Survey
Unlike scouring the internet for free data, using a survey as a methodology can be more costly. That being said, there is one major advantage to using a survey to shape your content: you can find out anything you want. While publicly available data will tell a story, it’s not always the story you want to tell, and that’s where surveys come in. Of course, when it comes to surveys, anyone can create one without paying attention to research method best practices. That's one of the problems we need to address. With “fake news” in the forefront of everyone’s minds in 2020, building trust with journalists and editors is of the utmost importance. As content creators, we have a responsibility to ensure that content is not only attention-grabbing and entertaining, but also accurate and informative. Survey campaigns, in particular, require you to analyze responses through a rigorous methodological lens. When collecting data for surveys, be sure to pay close attention to ethical upholdance, data validity, and fair visual representations.
Germ swab
From my own personal experience, germ swab content campaigns are the most fun, and often, the most disturbing. Fractl did some research a while back about the emotions that make content go viral, and oftentimes, germ swab campaigns hit all of the right emotions in the viral equation. Negative emotions like disgust are often evoked when reviewing the results of germ swab campaigns. Our study found that when negative emotions are paired with emotions like anticipation or surprise, they can still achieve viral success (internet viral, not germ viral). What is more surprising than finding out the airplane tray table is dirtier than a toilet seat? Publishers around the world seemed to think the content was surprising, too. This campaign performed above the norm for a typical content campaign earning 38 dofollows and 195 total press mentions — and this was before the COVID-19 pandemic.
Participatory methods
Participatory methods are campaigns that require active participation for the methodology. These are unique ideas — no two are alike. Some examples of campaigns that fall under the participatory methods category are when we had team members do a 30-day squat challenge, asked respondents to draw brand logos from memory, or when we literally drove from D.C. to NYC with a dash cam to record traffic violations. These campaigns have a certain level of risk associated with them. They require a lot of upfront effort and planning without the promise of any return — and that’s scary for clients and for our team who put in tremendous effort to pull them off. As you can see from the chart above, however, these ideas collectively performed right on par with other campaign types, and even better than survey methodologies for both the number of dofollow links and press mentions. In order to reap big benefits, it seems you need to be willing to take a big risk.
Social media
Social medIa as a data source is almost a no-brainer, right up there with survey methodologies and publicly available data sets. Unlike participatory methods campaigns, you don’t have to leave your computer in order to produce a campaign based on social media data. Through our seven years of content creation, Fractl has produced campaigns based on data scrapes from Twitter, Instagram, Facebook, LinkedIn, Reddit, and more. From this experience, we know firsthand what kinds of social campaigns work and which ones fall flat. The best thing about using social media as a source for content is that it can be applied to all verticals. The biggest lesson we’ve learned from producing content based on social media data is that the methodology is typically subjective, so you need to keep the project lighthearted in nature in order to earn major coverage. For example, we produced a campaign for a client in which we looked at Instagram posts with the hashtag #sexy and a geolocation. From this, we were able to glean the “sexiest” countries in the world as well as U.S. states. While it would be impossible to learn what the actual sexiest places in the world were, (what does that even mean?) we were able to produce a fun campaign that used geo-bait to appeal to lighthearted publishers, like Glamour, E! Online, Women's Health, and Elite Daily. Make sure that no matter the topic, whatever you produce contributes to an ongoing conversation. Statistics that don’t point to anything meaningful won’t be relevant for writers actually trying to add to the conversation.
Client data
Client data is often the most underappreciated data source for content marketers. You may be sitting on a wealth of actionable industry insights and not even know it. You might think of internal data as only being useful for improving your internal processes at work, but it can also be valuable outside of your organization. Unlike publicly available data, internal data is never-before-seen and 100% unique. Journalists eat this up because it means that you’re providing completely exclusive resources. Think of this article, for example. This article is filled with data and insights that Fractl has gleaned after producing thousands of content marketing campaigns. An added bonus of using internal data to craft your content is that, according to our analysis, it performs on par with surveys. Unlike surveys, though, it’s completely free.
Conclusion
No matter what methodology you’re using or vertical you’re creating content for, it’s important to realize that as content creators, we have an ethical and moral responsibility to create with an audience in mind. With “fake news” on the forefront of everyone’s minds, building and maintaining trust with writers and editors is of the utmost importance. All of the content you produce and promote must be assessed through a rigorous methodological lens to ensure that content is accurate and informative as well as eye-grabbing and entertaining. Regardless of your methodology, if you don’t take the proper steps to make sure your data sources are accurate, you are contributing to the fake news epidemic. Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!
https://www.businesscreatorplus.com/how-to-choose-the-most-link-worthy-data-source-for-your-content/
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How to Choose the Most Link-Worthy Data Source for Your Content
Posted by Domenica
Fractl has produced thousands of content marketing campaigns across every topic, and for the past seven years, we’ve been keeping track of each and every campaign in order to refine and improve the content we produce on behalf of our clients.
In my last post for Moz, I explained how to set realistic digital PR expectations for your content based on your niche. In this topic, I want to dive a little bit deeper into the data and share insights about how the source of your content can be just as important in determining how your content will perform.
In this analysis, I looked at 1,474 client content campaigns across six different data source categories:
Client data
Social media
Participatory methods
Publicly available data
Survey
Germ swab
It’s important to note that there are countless other data sources that we use for content campaigns every day at Fractl that are not mentioned in this article. In this analysis, each category has at least 20 campaigns, while some categories have several hundred campaigns.
It’s also important to note that averages were collected by excluding upper outliers. For campaigns that went “viral” and performed well above the norm, we excluded them in the calculation so as not to skew the averages higher.
In addition to sharing link and press averages, I will also be walking through how to produce pressworthy, sharable content from each data source and providing examples.
Managing expectations across content types
Across the entire sample of 1,474 campaigns, a project on average received 24 dofollow links and 89 press mentions in total.
A press mention is defined as any time the content campaign was mentioned on a publisher’s website.
There were some individual data source category averages that were on par with the sample average, while other categories deviated greatly from the sample average.
Publicly available data
For almost any niche out there, you can bet there is a publicly available data set available for use. Some examples include data from the CDC, the U.S. Census, colleges and universities, the WHO, and the TSA. The opportunities really are endless when it comes to using publicly available data as a methodology for your content.
While free data sets can be a treasure trove of information for your content, keep in mind that they’re not always the simplest to work with. They do require a lot of analysis to make sense of the massive amount of information in them, and to make the insights digestible for your audience.
Take for example a campaign we produced for a client called Neighborhood Names. The data was free from the US Census, but in order to make any sense of it, our researchers had to use QGIS, Python, text-mining, and phrasemachine (a text analysis API) just to narrow it down to what we were looking for.
And what were we looking for? Looking at neighborhood names across America seems boring at first, until you realize that certain words correspond to wealth.
I was the outreach specialist for this project, and by using the wealth angle, I was able to secure two notable placements on CNBC as well as a press mention on MSN. The project quickly made its way around the internet after that, earning 76 dofollow links and 202 total press mentions by the end of our reporting period.
Survey
Unlike scouring the internet for free data, using a survey as a methodology can be more costly. That being said, there is one major advantage to using a survey to shape your content: you can find out anything you want.
While publicly available data will tell a story, it’s not always the story you want to tell, and that’s where surveys come in.
Of course, when it comes to surveys, anyone can create one without paying attention to research method best practices. That's one of the problems we need to address. With “fake news” in the forefront of everyone’s minds in 2020, building trust with journalists and editors is of the utmost importance.
As content creators, we have a responsibility to ensure that content is not only attention-grabbing and entertaining, but also accurate and informative.
Survey campaigns, in particular, require you to analyze responses through a rigorous methodological lens. When collecting data for surveys, be sure to pay close attention to ethical upholdance, data validity, and fair visual representations.
Germ swab
From my own personal experience, germ swab content campaigns are the most fun, and often, the most disturbing. Fractl did some research a while back about the emotions that make content go viral, and oftentimes, germ swab campaigns hit all of the right emotions in the viral equation.
Negative emotions like disgust are often evoked when reviewing the results of germ swab campaigns. Our study found that when negative emotions are paired with emotions like anticipation or surprise, they can still achieve viral success (internet viral, not germ viral). What is more surprising than finding out the airplane tray table is dirtier than a toilet seat?
Publishers around the world seemed to think the content was surprising, too. This campaign performed above the norm for a typical content campaign earning 38 dofollows and 195 total press mentions — and this was before the COVID-19 pandemic.
Participatory methods
Participatory methods are campaigns that require active participation for the methodology. These are unique ideas — no two are alike. Some examples of campaigns that fall under the participatory methods category are when we had team members do a 30-day squat challenge, asked respondents to draw brand logos from memory, or when we literally drove from D.C. to NYC with a dash cam to record traffic violations.
These campaigns have a certain level of risk associated with them. They require a lot of upfront effort and planning without the promise of any return — and that’s scary for clients and for our team who put in tremendous effort to pull them off.
As you can see from the chart above, however, these ideas collectively performed right on par with other campaign types, and even better than survey methodologies for both the number of dofollow links and press mentions. In order to reap big benefits, it seems you need to be willing to take a big risk.
Social media
Social medIa as a data source is almost a no-brainer, right up there with survey methodologies and publicly available data sets. Unlike participatory methods campaigns, you don’t have to leave your computer in order to produce a campaign based on social media data.
Through our seven years of content creation, Fractl has produced campaigns based on data scrapes from Twitter, Instagram, Facebook, LinkedIn, Reddit, and more. From this experience, we know firsthand what kinds of social campaigns work and which ones fall flat.
The best thing about using social media as a source for content is that it can be applied to all verticals.
The biggest lesson we’ve learned from producing content based on social media data is that the methodology is typically subjective, so you need to keep the project lighthearted in nature in order to earn major coverage.
For example, we produced a campaign for a client in which we looked at Instagram posts with the hashtag #sexy and a geolocation. From this, we were able to glean the “sexiest” countries in the world as well as U.S. states.
While it would be impossible to learn what the actual sexiest places in the world were, (what does that even mean?) we were able to produce a fun campaign that used geo-bait to appeal to lighthearted publishers, like Glamour, E! Online, Women's Health, and Elite Daily.
Make sure that no matter the topic, whatever you produce contributes to an ongoing conversation. Statistics that don’t point to anything meaningful won’t be relevant for writers actually trying to add to the conversation.
Client data
Client data is often the most underappreciated data source for content marketers. You may be sitting on a wealth of actionable industry insights and not even know it.
You might think of internal data as only being useful for improving your internal processes at work, but it can also be valuable outside of your organization.
Unlike publicly available data, internal data is never-before-seen and 100% unique. Journalists eat this up because it means that you’re providing completely exclusive resources.
Think of this article, for example. This article is filled with data and insights that Fractl has gleaned after producing thousands of content marketing campaigns.
An added bonus of using internal data to craft your content is that, according to our analysis, it performs on par with surveys. Unlike surveys, though, it’s completely free.
Conclusion
No matter what methodology you’re using or vertical you’re creating content for, it’s important to realize that as content creators, we have an ethical and moral responsibility to create with an audience in mind.
With “fake news” on the forefront of everyone’s minds, building and maintaining trust with writers and editors is of the utmost importance.
All of the content you produce and promote must be assessed through a rigorous methodological lens to ensure that content is accurate and informative as well as eye-grabbing and entertaining.
Regardless of your methodology, if you don’t take the proper steps to make sure your data sources are accurate, you are contributing to the fake news epidemic.
Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!
via Blogger https://ift.tt/2NDNYf0 #blogger #bloggingtips #bloggerlife #bloggersgetsocial #ontheblog #writersofinstagram #writingprompt #instapoetry #writerscommunity #writersofig #writersblock #writerlife #writtenword #instawriters #spilledink #wordgasm #creativewriting #poetsofinstagram #blackoutpoetry #poetsofig
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How to Choose the Most Link-Worthy Data Source for Your Content
Posted by Domenica
Fractl has produced thousands of content marketing campaigns across every topic, and for the past seven years, we’ve been keeping track of each and every campaign in order to refine and improve the content we produce on behalf of our clients.
In my last post for Moz, I explained how to set realistic digital PR expectations for your content based on your niche. In this topic, I want to dive a little bit deeper into the data and share insights about how the source of your content can be just as important in determining how your content will perform.
In this analysis, I looked at 1,474 client content campaigns across six different data source categories:
Client data
Social media
Participatory methods
Publicly available data
Survey
Germ swab
It’s important to note that there are countless other data sources that we use for content campaigns every day at Fractl that are not mentioned in this article. In this analysis, each category has at least 20 campaigns, while some categories have several hundred campaigns.
It’s also important to note that averages were collected by excluding upper outliers. For campaigns that went “viral” and performed well above the norm, we excluded them in the calculation so as not to skew the averages higher.
In addition to sharing link and press averages, I will also be walking through how to produce pressworthy, sharable content from each data source and providing examples.
Managing expectations across content types
Across the entire sample of 1,474 campaigns, a project on average received 24 dofollow links and 89 press mentions in total.
A press mention is defined as any time the content campaign was mentioned on a publisher’s website.
There were some individual data source category averages that were on par with the sample average, while other categories deviated greatly from the sample average.
Publicly available data
For almost any niche out there, you can bet there is a publicly available data set available for use. Some examples include data from the CDC, the U.S. Census, colleges and universities, the WHO, and the TSA. The opportunities really are endless when it comes to using publicly available data as a methodology for your content.
While free data sets can be a treasure trove of information for your content, keep in mind that they’re not always the simplest to work with. They do require a lot of analysis to make sense of the massive amount of information in them, and to make the insights digestible for your audience.
Take for example a campaign we produced for a client called Neighborhood Names. The data was free from the US Census, but in order to make any sense of it, our researchers had to use QGIS, Python, text-mining, and phrasemachine (a text analysis API) just to narrow it down to what we were looking for.
And what were we looking for? Looking at neighborhood names across America seems boring at first, until you realize that certain words correspond to wealth.
I was the outreach specialist for this project, and by using the wealth angle, I was able to secure two notable placements on CNBC as well as a press mention on MSN. The project quickly made its way around the internet after that, earning 76 dofollow links and 202 total press mentions by the end of our reporting period.
Survey
Unlike scouring the internet for free data, using a survey as a methodology can be more costly. That being said, there is one major advantage to using a survey to shape your content: you can find out anything you want.
While publicly available data will tell a story, it’s not always the story you want to tell, and that’s where surveys come in.
Of course, when it comes to surveys, anyone can create one without paying attention to research method best practices. That's one of the problems we need to address. With “fake news” in the forefront of everyone’s minds in 2020, building trust with journalists and editors is of the utmost importance.
As content creators, we have a responsibility to ensure that content is not only attention-grabbing and entertaining, but also accurate and informative.
Survey campaigns, in particular, require you to analyze responses through a rigorous methodological lens. When collecting data for surveys, be sure to pay close attention to ethical upholdance, data validity, and fair visual representations.
Germ swab
From my own personal experience, germ swab content campaigns are the most fun, and often, the most disturbing. Fractl did some research a while back about the emotions that make content go viral, and oftentimes, germ swab campaigns hit all of the right emotions in the viral equation.
Negative emotions like disgust are often evoked when reviewing the results of germ swab campaigns. Our study found that when negative emotions are paired with emotions like anticipation or surprise, they can still achieve viral success (internet viral, not germ viral). What is more surprising than finding out the airplane tray table is dirtier than a toilet seat?
Publishers around the world seemed to think the content was surprising, too. This campaign performed above the norm for a typical content campaign earning 38 dofollows and 195 total press mentions — and this was before the COVID-19 pandemic.
Participatory methods
Participatory methods are campaigns that require active participation for the methodology. These are unique ideas — no two are alike. Some examples of campaigns that fall under the participatory methods category are when we had team members do a 30-day squat challenge, asked respondents to draw brand logos from memory, or when we literally drove from D.C. to NYC with a dash cam to record traffic violations.
These campaigns have a certain level of risk associated with them. They require a lot of upfront effort and planning without the promise of any return — and that’s scary for clients and for our team who put in tremendous effort to pull them off.
As you can see from the chart above, however, these ideas collectively performed right on par with other campaign types, and even better than survey methodologies for both the number of dofollow links and press mentions. In order to reap big benefits, it seems you need to be willing to take a big risk.
Social media
Social medIa as a data source is almost a no-brainer, right up there with survey methodologies and publicly available data sets. Unlike participatory methods campaigns, you don’t have to leave your computer in order to produce a campaign based on social media data.
Through our seven years of content creation, Fractl has produced campaigns based on data scrapes from Twitter, Instagram, Facebook, LinkedIn, Reddit, and more. From this experience, we know firsthand what kinds of social campaigns work and which ones fall flat.
The best thing about using social media as a source for content is that it can be applied to all verticals.
The biggest lesson we’ve learned from producing content based on social media data is that the methodology is typically subjective, so you need to keep the project lighthearted in nature in order to earn major coverage.
For example, we produced a campaign for a client in which we looked at Instagram posts with the hashtag #sexy and a geolocation. From this, we were able to glean the “sexiest” countries in the world as well as U.S. states.
While it would be impossible to learn what the actual sexiest places in the world were, (what does that even mean?) we were able to produce a fun campaign that used geo-bait to appeal to lighthearted publishers, like Glamour, E! Online, Women's Health, and Elite Daily.
Make sure that no matter the topic, whatever you produce contributes to an ongoing conversation. Statistics that don’t point to anything meaningful won’t be relevant for writers actually trying to add to the conversation.
Client data
Client data is often the most underappreciated data source for content marketers. You may be sitting on a wealth of actionable industry insights and not even know it.
You might think of internal data as only being useful for improving your internal processes at work, but it can also be valuable outside of your organization.
Unlike publicly available data, internal data is never-before-seen and 100% unique. Journalists eat this up because it means that you’re providing completely exclusive resources.
Think of this article, for example. This article is filled with data and insights that Fractl has gleaned after producing thousands of content marketing campaigns.
An added bonus of using internal data to craft your content is that, according to our analysis, it performs on par with surveys. Unlike surveys, though, it’s completely free.
Conclusion
No matter what methodology you’re using or vertical you’re creating content for, it’s important to realize that as content creators, we have an ethical and moral responsibility to create with an audience in mind.
With “fake news” on the forefront of everyone’s minds, building and maintaining trust with writers and editors is of the utmost importance.
All of the content you produce and promote must be assessed through a rigorous methodological lens to ensure that content is accurate and informative as well as eye-grabbing and entertaining.
Regardless of your methodology, if you don’t take the proper steps to make sure your data sources are accurate, you are contributing to the fake news epidemic.
Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!
from The Moz Blog https://ift.tt/2BLLSab via IFTTT
0 notes
Text
How to Choose the Most Link-Worthy Data Source for Your Content
Posted by Domenica
Fractl has produced thousands of content marketing campaigns across every topic, and for the past seven years, we’ve been keeping track of each and every campaign in order to refine and improve the content we produce on behalf of our clients.
In my last post for Moz, I explained how to set realistic digital PR expectations for your content based on your niche. In this topic, I want to dive a little bit deeper into the data and share insights about how the source of your content can be just as important in determining how your content will perform.
In this analysis, I looked at 1,474 client content campaigns across six different data source categories:
Client data
Social media
Participatory methods
Publicly available data
Survey
Germ swab
It’s important to note that there are countless other data sources that we use for content campaigns every day at Fractl that are not mentioned in this article. In this analysis, each category has at least 20 campaigns, while some categories have several hundred campaigns.
It’s also important to note that averages were collected by excluding upper outliers. For campaigns that went “viral” and performed well above the norm, we excluded them in the calculation so as not to skew the averages higher.
In addition to sharing link and press averages, I will also be walking through how to produce pressworthy, sharable content from each data source and providing examples.
Managing expectations across content types
Across the entire sample of 1,474 campaigns, a project on average received 24 dofollow links and 89 press mentions in total.
A press mention is defined as any time the content campaign was mentioned on a publisher’s website.
There were some individual data source category averages that were on par with the sample average, while other categories deviated greatly from the sample average.
Publicly available data
For almost any niche out there, you can bet there is a publicly available data set available for use. Some examples include data from the CDC, the U.S. Census, colleges and universities, the WHO, and the TSA. The opportunities really are endless when it comes to using publicly available data as a methodology for your content.
While free data sets can be a treasure trove of information for your content, keep in mind that they’re not always the simplest to work with. They do require a lot of analysis to make sense of the massive amount of information in them, and to make the insights digestible for your audience.
Take for example a campaign we produced for a client called Neighborhood Names. The data was free from the US Census, but in order to make any sense of it, our researchers had to use QGIS, Python, text-mining, and phrasemachine (a text analysis API) just to narrow it down to what we were looking for.
And what were we looking for? Looking at neighborhood names across America seems boring at first, until you realize that certain words correspond to wealth.
I was the outreach specialist for this project, and by using the wealth angle, I was able to secure two notable placements on CNBC as well as a press mention on MSN. The project quickly made its way around the internet after that, earning 76 dofollow links and 202 total press mentions by the end of our reporting period.
Survey
Unlike scouring the internet for free data, using a survey as a methodology can be more costly. That being said, there is one major advantage to using a survey to shape your content: you can find out anything you want.
While publicly available data will tell a story, it’s not always the story you want to tell, and that’s where surveys come in.
Of course, when it comes to surveys, anyone can create one without paying attention to research method best practices. That's one of the problems we need to address. With “fake news” in the forefront of everyone’s minds in 2020, building trust with journalists and editors is of the utmost importance.
As content creators, we have a responsibility to ensure that content is not only attention-grabbing and entertaining, but also accurate and informative.
Survey campaigns, in particular, require you to analyze responses through a rigorous methodological lens. When collecting data for surveys, be sure to pay close attention to ethical upholdance, data validity, and fair visual representations.
Germ swab
From my own personal experience, germ swab content campaigns are the most fun, and often, the most disturbing. Fractl did some research a while back about the emotions that make content go viral, and oftentimes, germ swab campaigns hit all of the right emotions in the viral equation.
Negative emotions like disgust are often evoked when reviewing the results of germ swab campaigns. Our study found that when negative emotions are paired with emotions like anticipation or surprise, they can still achieve viral success (internet viral, not germ viral). What is more surprising than finding out the airplane tray table is dirtier than a toilet seat?
Publishers around the world seemed to think the content was surprising, too. This campaign performed above the norm for a typical content campaign earning 38 dofollows and 195 total press mentions — and this was before the COVID-19 pandemic.
Participatory methods
Participatory methods are campaigns that require active participation for the methodology. These are unique ideas — no two are alike. Some examples of campaigns that fall under the participatory methods category are when we had team members do a 30-day squat challenge, asked respondents to draw brand logos from memory, or when we literally drove from D.C. to NYC with a dash cam to record traffic violations.
These campaigns have a certain level of risk associated with them. They require a lot of upfront effort and planning without the promise of any return — and that’s scary for clients and for our team who put in tremendous effort to pull them off.
As you can see from the chart above, however, these ideas collectively performed right on par with other campaign types, and even better than survey methodologies for both the number of dofollow links and press mentions. In order to reap big benefits, it seems you need to be willing to take a big risk.
Social media
Social medIa as a data source is almost a no-brainer, right up there with survey methodologies and publicly available data sets. Unlike participatory methods campaigns, you don’t have to leave your computer in order to produce a campaign based on social media data.
Through our seven years of content creation, Fractl has produced campaigns based on data scrapes from Twitter, Instagram, Facebook, LinkedIn, Reddit, and more. From this experience, we know firsthand what kinds of social campaigns work and which ones fall flat.
The best thing about using social media as a source for content is that it can be applied to all verticals.
The biggest lesson we’ve learned from producing content based on social media data is that the methodology is typically subjective, so you need to keep the project lighthearted in nature in order to earn major coverage.
For example, we produced a campaign for a client in which we looked at Instagram posts with the hashtag #sexy and a geolocation. From this, we were able to glean the “sexiest” countries in the world as well as U.S. states.
While it would be impossible to learn what the actual sexiest places in the world were, (what does that even mean?) we were able to produce a fun campaign that used geo-bait to appeal to lighthearted publishers, like Glamour, E! Online, Women's Health, and Elite Daily.
Make sure that no matter the topic, whatever you produce contributes to an ongoing conversation. Statistics that don’t point to anything meaningful won’t be relevant for writers actually trying to add to the conversation.
Client data
Client data is often the most underappreciated data source for content marketers. You may be sitting on a wealth of actionable industry insights and not even know it.
You might think of internal data as only being useful for improving your internal processes at work, but it can also be valuable outside of your organization.
Unlike publicly available data, internal data is never-before-seen and 100% unique. Journalists eat this up because it means that you’re providing completely exclusive resources.
Think of this article, for example. This article is filled with data and insights that Fractl has gleaned after producing thousands of content marketing campaigns.
An added bonus of using internal data to craft your content is that, according to our analysis, it performs on par with surveys. Unlike surveys, though, it’s completely free.
Conclusion
No matter what methodology you’re using or vertical you’re creating content for, it’s important to realize that as content creators, we have an ethical and moral responsibility to create with an audience in mind.
With “fake news” on the forefront of everyone’s minds, building and maintaining trust with writers and editors is of the utmost importance.
All of the content you produce and promote must be assessed through a rigorous methodological lens to ensure that content is accurate and informative as well as eye-grabbing and entertaining.
Regardless of your methodology, if you don’t take the proper steps to make sure your data sources are accurate, you are contributing to the fake news epidemic.
Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!
from The Moz Blog http://tracking.feedpress.it/link/9375/13684223
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Text
How to Choose the Most Link-Worthy Data Source for Your Content
Posted by Domenica
Fractl has produced thousands of content marketing campaigns across every topic, and for the past seven years, we’ve been keeping track of each and every campaign in order to refine and improve the content we produce on behalf of our clients.
In my last post for Moz, I explained how to set realistic digital PR expectations for your content based on your niche. In this topic, I want to dive a little bit deeper into the data and share insights about how the source of your content can be just as important in determining how your content will perform.
In this analysis, I looked at 1,474 client content campaigns across six different data source categories:
Client data
Social media
Participatory methods
Publicly available data
Survey
Germ swab
It’s important to note that there are countless other data sources that we use for content campaigns every day at Fractl that are not mentioned in this article. In this analysis, each category has at least 20 campaigns, while some categories have several hundred campaigns.
It’s also important to note that averages were collected by excluding upper outliers. For campaigns that went “viral” and performed well above the norm, we excluded them in the calculation so as not to skew the averages higher.
In addition to sharing link and press averages, I will also be walking through how to produce pressworthy, sharable content from each data source and providing examples.
Managing expectations across content types
Across the entire sample of 1,474 campaigns, a project on average received 24 dofollow links and 89 press mentions in total.
A press mention is defined as any time the content campaign was mentioned on a publisher’s website.
There were some individual data source category averages that were on par with the sample average, while other categories deviated greatly from the sample average.
Publicly available data
For almost any niche out there, you can bet there is a publicly available data set available for use. Some examples include data from the CDC, the U.S. Census, colleges and universities, the WHO, and the TSA. The opportunities really are endless when it comes to using publicly available data as a methodology for your content.
While free data sets can be a treasure trove of information for your content, keep in mind that they’re not always the simplest to work with. They do require a lot of analysis to make sense of the massive amount of information in them, and to make the insights digestible for your audience.
Take for example a campaign we produced for a client called Neighborhood Names. The data was free from the US Census, but in order to make any sense of it, our researchers had to use QGIS, Python, text-mining, and phrasemachine (a text analysis API) just to narrow it down to what we were looking for.
And what were we looking for? Looking at neighborhood names across America seems boring at first, until you realize that certain words correspond to wealth.
I was the outreach specialist for this project, and by using the wealth angle, I was able to secure two notable placements on CNBC as well as a press mention on MSN. The project quickly made its way around the internet after that, earning 76 dofollow links and 202 total press mentions by the end of our reporting period.
Survey
Unlike scouring the internet for free data, using a survey as a methodology can be more costly. That being said, there is one major advantage to using a survey to shape your content: you can find out anything you want.
While publicly available data will tell a story, it’s not always the story you want to tell, and that’s where surveys come in.
Of course, when it comes to surveys, anyone can create one without paying attention to research method best practices. That's one of the problems we need to address. With “fake news” in the forefront of everyone’s minds in 2020, building trust with journalists and editors is of the utmost importance.
As content creators, we have a responsibility to ensure that content is not only attention-grabbing and entertaining, but also accurate and informative.
Survey campaigns, in particular, require you to analyze responses through a rigorous methodological lens. When collecting data for surveys, be sure to pay close attention to ethical upholdance, data validity, and fair visual representations.
Germ swab
From my own personal experience, germ swab content campaigns are the most fun, and often, the most disturbing. Fractl did some research a while back about the emotions that make content go viral, and oftentimes, germ swab campaigns hit all of the right emotions in the viral equation.
Negative emotions like disgust are often evoked when reviewing the results of germ swab campaigns. Our study found that when negative emotions are paired with emotions like anticipation or surprise, they can still achieve viral success (internet viral, not germ viral). What is more surprising than finding out the airplane tray table is dirtier than a toilet seat?
Publishers around the world seemed to think the content was surprising, too. This campaign performed above the norm for a typical content campaign earning 38 dofollows and 195 total press mentions — and this was before the COVID-19 pandemic.
Participatory methods
Participatory methods are campaigns that require active participation for the methodology. These are unique ideas — no two are alike. Some examples of campaigns that fall under the participatory methods category are when we had team members do a 30-day squat challenge, asked respondents to draw brand logos from memory, or when we literally drove from D.C. to NYC with a dash cam to record traffic violations.
These campaigns have a certain level of risk associated with them. They require a lot of upfront effort and planning without the promise of any return — and that’s scary for clients and for our team who put in tremendous effort to pull them off.
As you can see from the chart above, however, these ideas collectively performed right on par with other campaign types, and even better than survey methodologies for both the number of dofollow links and press mentions. In order to reap big benefits, it seems you need to be willing to take a big risk.
Social media
Social medIa as a data source is almost a no-brainer, right up there with survey methodologies and publicly available data sets. Unlike participatory methods campaigns, you don’t have to leave your computer in order to produce a campaign based on social media data.
Through our seven years of content creation, Fractl has produced campaigns based on data scrapes from Twitter, Instagram, Facebook, LinkedIn, Reddit, and more. From this experience, we know firsthand what kinds of social campaigns work and which ones fall flat.
The best thing about using social media as a source for content is that it can be applied to all verticals.
The biggest lesson we’ve learned from producing content based on social media data is that the methodology is typically subjective, so you need to keep the project lighthearted in nature in order to earn major coverage.
For example, we produced a campaign for a client in which we looked at Instagram posts with the hashtag #sexy and a geolocation. From this, we were able to glean the “sexiest” countries in the world as well as U.S. states.
While it would be impossible to learn what the actual sexiest places in the world were, (what does that even mean?) we were able to produce a fun campaign that used geo-bait to appeal to lighthearted publishers, like Glamour, E! Online, Women's Health, and Elite Daily.
Make sure that no matter the topic, whatever you produce contributes to an ongoing conversation. Statistics that don’t point to anything meaningful won’t be relevant for writers actually trying to add to the conversation.
Client data
Client data is often the most underappreciated data source for content marketers. You may be sitting on a wealth of actionable industry insights and not even know it.
You might think of internal data as only being useful for improving your internal processes at work, but it can also be valuable outside of your organization.
Unlike publicly available data, internal data is never-before-seen and 100% unique. Journalists eat this up because it means that you’re providing completely exclusive resources.
Think of this article, for example. This article is filled with data and insights that Fractl has gleaned after producing thousands of content marketing campaigns.
An added bonus of using internal data to craft your content is that, according to our analysis, it performs on par with surveys. Unlike surveys, though, it’s completely free.
Conclusion
No matter what methodology you’re using or vertical you’re creating content for, it’s important to realize that as content creators, we have an ethical and moral responsibility to create with an audience in mind.
With “fake news” on the forefront of everyone’s minds, building and maintaining trust with writers and editors is of the utmost importance.
All of the content you produce and promote must be assessed through a rigorous methodological lens to ensure that content is accurate and informative as well as eye-grabbing and entertaining.
Regardless of your methodology, if you don’t take the proper steps to make sure your data sources are accurate, you are contributing to the fake news epidemic.
Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!
0 notes
Text
How to Choose the Most Link-Worthy Data Source for Your Content
Posted by Domenica
Fractl has produced thousands of content marketing campaigns across every topic, and for the past seven years, we’ve been keeping track of each and every campaign in order to refine and improve the content we produce on behalf of our clients.
In my last post for Moz, I explained how to set realistic digital PR expectations for your content based on your niche. In this topic, I want to dive a little bit deeper into the data and share insights about how the source of your content can be just as important in determining how your content will perform.
In this analysis, I looked at 1,474 client content campaigns across six different data source categories:
Client data
Social media
Participatory methods
Publicly available data
Survey
Germ swab
It’s important to note that there are countless other data sources that we use for content campaigns every day at Fractl that are not mentioned in this article. In this analysis, each category has at least 20 campaigns, while some categories have several hundred campaigns.
It’s also important to note that averages were collected by excluding upper outliers. For campaigns that went “viral” and performed well above the norm, we excluded them in the calculation so as not to skew the averages higher.
In addition to sharing link and press averages, I will also be walking through how to produce pressworthy, sharable content from each data source and providing examples.
Managing expectations across content types
Across the entire sample of 1,474 campaigns, a project on average received 24 dofollow links and 89 press mentions in total.
A press mention is defined as any time the content campaign was mentioned on a publisher’s website.
There were some individual data source category averages that were on par with the sample average, while other categories deviated greatly from the sample average.
Publicly available data
For almost any niche out there, you can bet there is a publicly available data set available for use. Some examples include data from the CDC, the U.S. Census, colleges and universities, the WHO, and the TSA. The opportunities really are endless when it comes to using publicly available data as a methodology for your content.
While free data sets can be a treasure trove of information for your content, keep in mind that they’re not always the simplest to work with. They do require a lot of analysis to make sense of the massive amount of information in them, and to make the insights digestible for your audience.
Take for example a campaign we produced for a client called Neighborhood Names. The data was free from the US Census, but in order to make any sense of it, our researchers had to use QGIS, Python, text-mining, and phrasemachine (a text analysis API) just to narrow it down to what we were looking for.
And what were we looking for? Looking at neighborhood names across America seems boring at first, until you realize that certain words correspond to wealth.
I was the outreach specialist for this project, and by using the wealth angle, I was able to secure two notable placements on CNBC as well as a press mention on MSN. The project quickly made its way around the internet after that, earning 76 dofollow links and 202 total press mentions by the end of our reporting period.
Survey
Unlike scouring the internet for free data, using a survey as a methodology can be more costly. That being said, there is one major advantage to using a survey to shape your content: you can find out anything you want.
While publicly available data will tell a story, it’s not always the story you want to tell, and that’s where surveys come in.
Of course, when it comes to surveys, anyone can create one without paying attention to research method best practices. That's one of the problems we need to address. With “fake news” in the forefront of everyone’s minds in 2020, building trust with journalists and editors is of the utmost importance.
As content creators, we have a responsibility to ensure that content is not only attention-grabbing and entertaining, but also accurate and informative.
Survey campaigns, in particular, require you to analyze responses through a rigorous methodological lens. When collecting data for surveys, be sure to pay close attention to ethical upholdance, data validity, and fair visual representations.
Germ swab
From my own personal experience, germ swab content campaigns are the most fun, and often, the most disturbing. Fractl did some research a while back about the emotions that make content go viral, and oftentimes, germ swab campaigns hit all of the right emotions in the viral equation.
Negative emotions like disgust are often evoked when reviewing the results of germ swab campaigns. Our study found that when negative emotions are paired with emotions like anticipation or surprise, they can still achieve viral success (internet viral, not germ viral). What is more surprising than finding out the airplane tray table is dirtier than a toilet seat?
Publishers around the world seemed to think the content was surprising, too. This campaign performed above the norm for a typical content campaign earning 38 dofollows and 195 total press mentions — and this was before the COVID-19 pandemic.
Participatory methods
Participatory methods are campaigns that require active participation for the methodology. These are unique ideas — no two are alike. Some examples of campaigns that fall under the participatory methods category are when we had team members do a 30-day squat challenge, asked respondents to draw brand logos from memory, or when we literally drove from D.C. to NYC with a dash cam to record traffic violations.
These campaigns have a certain level of risk associated with them. They require a lot of upfront effort and planning without the promise of any return — and that’s scary for clients and for our team who put in tremendous effort to pull them off.
As you can see from the chart above, however, these ideas collectively performed right on par with other campaign types, and even better than survey methodologies for both the number of dofollow links and press mentions. In order to reap big benefits, it seems you need to be willing to take a big risk.
Social media
Social medIa as a data source is almost a no-brainer, right up there with survey methodologies and publicly available data sets. Unlike participatory methods campaigns, you don’t have to leave your computer in order to produce a campaign based on social media data.
Through our seven years of content creation, Fractl has produced campaigns based on data scrapes from Twitter, Instagram, Facebook, LinkedIn, Reddit, and more. From this experience, we know firsthand what kinds of social campaigns work and which ones fall flat.
The best thing about using social media as a source for content is that it can be applied to all verticals.
The biggest lesson we’ve learned from producing content based on social media data is that the methodology is typically subjective, so you need to keep the project lighthearted in nature in order to earn major coverage.
For example, we produced a campaign for a client in which we looked at Instagram posts with the hashtag #sexy and a geolocation. From this, we were able to glean the “sexiest” countries in the world as well as U.S. states.
While it would be impossible to learn what the actual sexiest places in the world were, (what does that even mean?) we were able to produce a fun campaign that used geo-bait to appeal to lighthearted publishers, like Glamour, E! Online, Women's Health, and Elite Daily.
Make sure that no matter the topic, whatever you produce contributes to an ongoing conversation. Statistics that don’t point to anything meaningful won’t be relevant for writers actually trying to add to the conversation.
Client data
Client data is often the most underappreciated data source for content marketers. You may be sitting on a wealth of actionable industry insights and not even know it.
You might think of internal data as only being useful for improving your internal processes at work, but it can also be valuable outside of your organization.
Unlike publicly available data, internal data is never-before-seen and 100% unique. Journalists eat this up because it means that you’re providing completely exclusive resources.
Think of this article, for example. This article is filled with data and insights that Fractl has gleaned after producing thousands of content marketing campaigns.
An added bonus of using internal data to craft your content is that, according to our analysis, it performs on par with surveys. Unlike surveys, though, it’s completely free.
Conclusion
No matter what methodology you’re using or vertical you’re creating content for, it’s important to realize that as content creators, we have an ethical and moral responsibility to create with an audience in mind.
With “fake news” on the forefront of everyone’s minds, building and maintaining trust with writers and editors is of the utmost importance.
All of the content you produce and promote must be assessed through a rigorous methodological lens to ensure that content is accurate and informative as well as eye-grabbing and entertaining.
Regardless of your methodology, if you don’t take the proper steps to make sure your data sources are accurate, you are contributing to the fake news epidemic.
Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!
#túi_giấy_epacking_việt_nam #túi_giấy_epacking #in_túi_giấy_giá_rẻ #in_túi_giấy #epackingvietnam #tuigiayepacking
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Text
How to Choose the Most Link-Worthy Data Source for Your Content
Posted by Domenica
Fractl has produced thousands of content marketing campaigns across every topic, and for the past seven years, we’ve been keeping track of each and every campaign in order to refine and improve the content we produce on behalf of our clients.
In my last post for Moz, I explained how to set realistic digital PR expectations for your content based on your niche. In this topic, I want to dive a little bit deeper into the data and share insights about how the source of your content can be just as important in determining how your content will perform.
In this analysis, I looked at 1,474 client content campaigns across six different data source categories:
Client data
Social media
Participatory methods
Publicly available data
Survey
Germ swab
It’s important to note that there are countless other data sources that we use for content campaigns every day at Fractl that are not mentioned in this article. In this analysis, each category has at least 20 campaigns, while some categories have several hundred campaigns.
It’s also important to note that averages were collected by excluding upper outliers. For campaigns that went “viral” and performed well above the norm, we excluded them in the calculation so as not to skew the averages higher.
In addition to sharing link and press averages, I will also be walking through how to produce pressworthy, sharable content from each data source and providing examples.
Managing expectations across content types
Across the entire sample of 1,474 campaigns, a project on average received 24 dofollow links and 89 press mentions in total.
A press mention is defined as any time the content campaign was mentioned on a publisher’s website.
There were some individual data source category averages that were on par with the sample average, while other categories deviated greatly from the sample average.
Publicly available data
For almost any niche out there, you can bet there is a publicly available data set available for use. Some examples include data from the CDC, the U.S. Census, colleges and universities, the WHO, and the TSA. The opportunities really are endless when it comes to using publicly available data as a methodology for your content.
While free data sets can be a treasure trove of information for your content, keep in mind that they’re not always the simplest to work with. They do require a lot of analysis to make sense of the massive amount of information in them, and to make the insights digestible for your audience.
Take for example a campaign we produced for a client called Neighborhood Names. The data was free from the US Census, but in order to make any sense of it, our researchers had to use QGIS, Python, text-mining, and phrasemachine (a text analysis API) just to narrow it down to what we were looking for.
And what were we looking for? Looking at neighborhood names across America seems boring at first, until you realize that certain words correspond to wealth.
I was the outreach specialist for this project, and by using the wealth angle, I was able to secure two notable placements on CNBC as well as a press mention on MSN. The project quickly made its way around the internet after that, earning 76 dofollow links and 202 total press mentions by the end of our reporting period.
Survey
Unlike scouring the internet for free data, using a survey as a methodology can be more costly. That being said, there is one major advantage to using a survey to shape your content: you can find out anything you want.
While publicly available data will tell a story, it’s not always the story you want to tell, and that’s where surveys come in.
Of course, when it comes to surveys, anyone can create one without paying attention to research method best practices. That's one of the problems we need to address. With “fake news” in the forefront of everyone’s minds in 2020, building trust with journalists and editors is of the utmost importance.
As content creators, we have a responsibility to ensure that content is not only attention-grabbing and entertaining, but also accurate and informative.
Survey campaigns, in particular, require you to analyze responses through a rigorous methodological lens. When collecting data for surveys, be sure to pay close attention to ethical upholdance, data validity, and fair visual representations.
Germ swab
From my own personal experience, germ swab content campaigns are the most fun, and often, the most disturbing. Fractl did some research a while back about the emotions that make content go viral, and oftentimes, germ swab campaigns hit all of the right emotions in the viral equation.
Negative emotions like disgust are often evoked when reviewing the results of germ swab campaigns. Our study found that when negative emotions are paired with emotions like anticipation or surprise, they can still achieve viral success (internet viral, not germ viral). What is more surprising than finding out the airplane tray table is dirtier than a toilet seat?
Publishers around the world seemed to think the content was surprising, too. This campaign performed above the norm for a typical content campaign earning 38 dofollows and 195 total press mentions — and this was before the COVID-19 pandemic.
Participatory methods
Participatory methods are campaigns that require active participation for the methodology. These are unique ideas — no two are alike. Some examples of campaigns that fall under the participatory methods category are when we had team members do a 30-day squat challenge, asked respondents to draw brand logos from memory, or when we literally drove from D.C. to NYC with a dash cam to record traffic violations.
These campaigns have a certain level of risk associated with them. They require a lot of upfront effort and planning without the promise of any return — and that’s scary for clients and for our team who put in tremendous effort to pull them off.
As you can see from the chart above, however, these ideas collectively performed right on par with other campaign types, and even better than survey methodologies for both the number of dofollow links and press mentions. In order to reap big benefits, it seems you need to be willing to take a big risk.
Social media
Social medIa as a data source is almost a no-brainer, right up there with survey methodologies and publicly available data sets. Unlike participatory methods campaigns, you don’t have to leave your computer in order to produce a campaign based on social media data.
Through our seven years of content creation, Fractl has produced campaigns based on data scrapes from Twitter, Instagram, Facebook, LinkedIn, Reddit, and more. From this experience, we know firsthand what kinds of social campaigns work and which ones fall flat.
The best thing about using social media as a source for content is that it can be applied to all verticals.
The biggest lesson we’ve learned from producing content based on social media data is that the methodology is typically subjective, so you need to keep the project lighthearted in nature in order to earn major coverage.
For example, we produced a campaign for a client in which we looked at Instagram posts with the hashtag #sexy and a geolocation. From this, we were able to glean the “sexiest” countries in the world as well as U.S. states.
While it would be impossible to learn what the actual sexiest places in the world were, (what does that even mean?) we were able to produce a fun campaign that used geo-bait to appeal to lighthearted publishers, like Glamour, E! Online, Women's Health, and Elite Daily.
Make sure that no matter the topic, whatever you produce contributes to an ongoing conversation. Statistics that don’t point to anything meaningful won’t be relevant for writers actually trying to add to the conversation.
Client data
Client data is often the most underappreciated data source for content marketers. You may be sitting on a wealth of actionable industry insights and not even know it.
You might think of internal data as only being useful for improving your internal processes at work, but it can also be valuable outside of your organization.
Unlike publicly available data, internal data is never-before-seen and 100% unique. Journalists eat this up because it means that you’re providing completely exclusive resources.
Think of this article, for example. This article is filled with data and insights that Fractl has gleaned after producing thousands of content marketing campaigns.
An added bonus of using internal data to craft your content is that, according to our analysis, it performs on par with surveys. Unlike surveys, though, it’s completely free.
Conclusion
No matter what methodology you’re using or vertical you’re creating content for, it’s important to realize that as content creators, we have an ethical and moral responsibility to create with an audience in mind.
With “fake news” on the forefront of everyone’s minds, building and maintaining trust with writers and editors is of the utmost importance.
All of the content you produce and promote must be assessed through a rigorous methodological lens to ensure that content is accurate and informative as well as eye-grabbing and entertaining.
Regardless of your methodology, if you don’t take the proper steps to make sure your data sources are accurate, you are contributing to the fake news epidemic.
Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!
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Text
How to Choose the Most Link-Worthy Data Source for Your Content
New Post has been published on http://tiptopreview.com/how-to-choose-the-most-link-worthy-data-source-for-your-content/
How to Choose the Most Link-Worthy Data Source for Your Content
Fractl has produced thousands of content marketing campaigns across every topic, and for the past seven years, we’ve been keeping track of each and every campaign in order to refine and improve the content we produce on behalf of our clients.
In my last post for Moz, I explained how to set realistic digital PR expectations for your content based on your niche. In this topic, I want to dive a little bit deeper into the data and share insights about how the source of your content can be just as important in determining how your content will perform.
In this analysis, I looked at 1,474 client content campaigns across six different data source categories:
Client data
Social media
Participatory methods
Publicly available data
Survey
Germ swab
It’s important to note that there are countless other data sources that we use for content campaigns every day at Fractl that are not mentioned in this article. In this analysis, each category has at least 20 campaigns, while some categories have several hundred campaigns.
It’s also important to note that averages were collected by excluding upper outliers. For campaigns that went “viral” and performed well above the norm, we excluded them in the calculation so as not to skew the averages higher.
In addition to sharing link and press averages, I will also be walking through how to produce pressworthy, sharable content from each data source and providing examples.
Managing expectations across content types
Across the entire sample of 1,474 campaigns, a project on average received 24 dofollow links and 89 press mentions in total.
A press mention is defined as any time the content campaign was mentioned on a publisher’s website.
There were some individual data source category averages that were on par with the sample average, while other categories deviated greatly from the sample average.
Publicly available data
For almost any niche out there, you can bet there is a publicly available data set available for use. Some examples include data from the CDC, the U.S. Census, colleges and universities, the WHO, and the TSA. The opportunities really are endless when it comes to using publicly available data as a methodology for your content.
While free data sets can be a treasure trove of information for your content, keep in mind that they’re not always the simplest to work with. They do require a lot of analysis to make sense of the massive amount of information in them, and to make the insights digestible for your audience.
Take for example a campaign we produced for a client called Neighborhood Names. The data was free from the US Census, but in order to make any sense of it, our researchers had to use QGIS, Python, text-mining, and phrasemachine (a text analysis API) just to narrow it down to what we were looking for.
And what were we looking for? Looking at neighborhood names across America seems boring at first, until you realize that certain words correspond to wealth.
I was the outreach specialist for this project, and by using the wealth angle, I was able to secure two notable placements on CNBC as well as a press mention on MSN. The project quickly made its way around the internet after that, earning 76 dofollow links and 202 total press mentions by the end of our reporting period.
Survey
Unlike scouring the internet for free data, using a survey as a methodology can be more costly. That being said, there is one major advantage to using a survey to shape your content: you can find out anything you want.
While publicly available data will tell a story, it’s not always the story you want to tell, and that’s where surveys come in.
Of course, when it comes to surveys, anyone can create one without paying attention to research method best practices. That’s one of the problems we need to address. With “fake news” in the forefront of everyone’s minds in 2020, building trust with journalists and editors is of the utmost importance.
As content creators, we have a responsibility to ensure that content is not only attention-grabbing and entertaining, but also accurate and informative.
Survey campaigns, in particular, require you to analyze responses through a rigorous methodological lens. When collecting data for surveys, be sure to pay close attention to ethical upholdance, data validity, and fair visual representations.
Germ swab
From my own personal experience, germ swab content campaigns are the most fun, and often, the most disturbing. Fractl did some research a while back about the emotions that make content go viral, and oftentimes, germ swab campaigns hit all of the right emotions in the viral equation.
Negative emotions like disgust are often evoked when reviewing the results of germ swab campaigns. Our study found that when negative emotions are paired with emotions like anticipation or surprise, they can still achieve viral success (internet viral, not germ viral). What is more surprising than finding out the airplane tray table is dirtier than a toilet seat?
Publishers around the world seemed to think the content was surprising, too. This campaign performed above the norm for a typical content campaign earning 38 dofollows and 195 total press mentions — and this was before the COVID-19 pandemic.
Participatory methods
Participatory methods are campaigns that require active participation for the methodology. These are unique ideas — no two are alike. Some examples of campaigns that fall under the participatory methods category are when we had team members do a 30-day squat challenge, asked respondents to draw brand logos from memory, or when we literally drove from D.C. to NYC with a dash cam to record traffic violations.
These campaigns have a certain level of risk associated with them. They require a lot of upfront effort and planning without the promise of any return — and that’s scary for clients and for our team who put in tremendous effort to pull them off.
As you can see from the chart above, however, these ideas collectively performed right on par with other campaign types, and even better than survey methodologies for both the number of dofollow links and press mentions. In order to reap big benefits, it seems you need to be willing to take a big risk.
Social media
Social medIa as a data source is almost a no-brainer, right up there with survey methodologies and publicly available data sets. Unlike participatory methods campaigns, you don’t have to leave your computer in order to produce a campaign based on social media data.
Through our seven years of content creation, Fractl has produced campaigns based on data scrapes from Twitter, Instagram, Facebook, LinkedIn, Reddit, and more. From this experience, we know firsthand what kinds of social campaigns work and which ones fall flat.
The best thing about using social media as a source for content is that it can be applied to all verticals.
The biggest lesson we’ve learned from producing content based on social media data is that the methodology is typically subjective, so you need to keep the project lighthearted in nature in order to earn major coverage.
For example, we produced a campaign for a client in which we looked at Instagram posts with the hashtag #sexy and a geolocation. From this, we were able to glean the “sexiest” countries in the world as well as U.S. states.
While it would be impossible to learn what the actual sexiest places in the world were, (what does that even mean?) we were able to produce a fun campaign that used geo-bait to appeal to lighthearted publishers, like Glamour, E! Online, Women’s Health, and Elite Daily.
Make sure that no matter the topic, whatever you produce contributes to an ongoing conversation. Statistics that don’t point to anything meaningful won’t be relevant for writers actually trying to add to the conversation.
Client data
Client data is often the most underappreciated data source for content marketers. You may be sitting on a wealth of actionable industry insights and not even know it.
You might think of internal data as only being useful for improving your internal processes at work, but it can also be valuable outside of your organization.
Unlike publicly available data, internal data is never-before-seen and 100% unique. Journalists eat this up because it means that you’re providing completely exclusive resources.
Think of this article, for example. This article is filled with data and insights that Fractl has gleaned after producing thousands of content marketing campaigns.
An added bonus of using internal data to craft your content is that, according to our analysis, it performs on par with surveys. Unlike surveys, though, it’s completely free.
Conclusion
No matter what methodology you’re using or vertical you’re creating content for, it’s important to realize that as content creators, we have an ethical and moral responsibility to create with an audience in mind.
With “fake news” on the forefront of everyone’s minds, building and maintaining trust with writers and editors is of the utmost importance.
All of the content you produce and promote must be assessed through a rigorous methodological lens to ensure that content is accurate and informative as well as eye-grabbing and entertaining.
Regardless of your methodology, if you don’t take the proper steps to make sure your data sources are accurate, you are contributing to the fake news epidemic.
Source link
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Text
How to Choose the Most Link-Worthy Data Source for Your Content
Posted by Domenica
Fractl has produced thousands of content marketing campaigns across every topic, and for the past seven years, we’ve been keeping track of each and every campaign in order to refine and improve the content we produce on behalf of our clients.
In my last post for Moz, I explained how to set realistic digital PR expectations for your content based on your niche. In this topic, I want to dive a little bit deeper into the data and share insights about how the source of your content can be just as important in determining how your content will perform.
In this analysis, I looked at 1,474 client content campaigns across six different data source categories:
Client data
Social media
Participatory methods
Publicly available data
Survey
Germ swab
It’s important to note that there are countless other data sources that we use for content campaigns every day at Fractl that are not mentioned in this article. In this analysis, each category has at least 20 campaigns, while some categories have several hundred campaigns.
It’s also important to note that averages were collected by excluding upper outliers. For campaigns that went “viral” and performed well above the norm, we excluded them in the calculation so as not to skew the averages higher.
In addition to sharing link and press averages, I will also be walking through how to produce pressworthy, sharable content from each data source and providing examples.
Managing expectations across content types
Across the entire sample of 1,474 campaigns, a project on average received 24 dofollow links and 89 press mentions in total.
A press mention is defined as any time the content campaign was mentioned on a publisher’s website.
There were some individual data source category averages that were on par with the sample average, while other categories deviated greatly from the sample average.
Publicly available data
For almost any niche out there, you can bet there is a publicly available data set available for use. Some examples include data from the CDC, the U.S. Census, colleges and universities, the WHO, and the TSA. The opportunities really are endless when it comes to using publicly available data as a methodology for your content.
While free data sets can be a treasure trove of information for your content, keep in mind that they’re not always the simplest to work with. They do require a lot of analysis to make sense of the massive amount of information in them, and to make the insights digestible for your audience.
Take for example a campaign we produced for a client called Neighborhood Names. The data was free from the US Census, but in order to make any sense of it, our researchers had to use QGIS, Python, text-mining, and phrasemachine (a text analysis API) just to narrow it down to what we were looking for.
And what were we looking for? Looking at neighborhood names across America seems boring at first, until you realize that certain words correspond to wealth.
I was the outreach specialist for this project, and by using the wealth angle, I was able to secure two notable placements on CNBC as well as a press mention on MSN. The project quickly made its way around the internet after that, earning 76 dofollow links and 202 total press mentions by the end of our reporting period.
Survey
Unlike scouring the internet for free data, using a survey as a methodology can be more costly. That being said, there is one major advantage to using a survey to shape your content: you can find out anything you want.
While publicly available data will tell a story, it’s not always the story you want to tell, and that’s where surveys come in.
Of course, when it comes to surveys, anyone can create one without paying attention to research method best practices. That's one of the problems we need to address. With “fake news” in the forefront of everyone’s minds in 2020, building trust with journalists and editors is of the utmost importance.
As content creators, we have a responsibility to ensure that content is not only attention-grabbing and entertaining, but also accurate and informative.
Survey campaigns, in particular, require you to analyze responses through a rigorous methodological lens. When collecting data for surveys, be sure to pay close attention to ethical upholdance, data validity, and fair visual representations.
Germ swab
From my own personal experience, germ swab content campaigns are the most fun, and often, the most disturbing. Fractl did some research a while back about the emotions that make content go viral, and oftentimes, germ swab campaigns hit all of the right emotions in the viral equation.
Negative emotions like disgust are often evoked when reviewing the results of germ swab campaigns. Our study found that when negative emotions are paired with emotions like anticipation or surprise, they can still achieve viral success (internet viral, not germ viral). What is more surprising than finding out the airplane tray table is dirtier than a toilet seat?
Publishers around the world seemed to think the content was surprising, too. This campaign performed above the norm for a typical content campaign earning 38 dofollows and 195 total press mentions — and this was before the COVID-19 pandemic.
Participatory methods
Participatory methods are campaigns that require active participation for the methodology. These are unique ideas — no two are alike. Some examples of campaigns that fall under the participatory methods category are when we had team members do a 30-day squat challenge, asked respondents to draw brand logos from memory, or when we literally drove from D.C. to NYC with a dash cam to record traffic violations.
These campaigns have a certain level of risk associated with them. They require a lot of upfront effort and planning without the promise of any return — and that’s scary for clients and for our team who put in tremendous effort to pull them off.
As you can see from the chart above, however, these ideas collectively performed right on par with other campaign types, and even better than survey methodologies for both the number of dofollow links and press mentions. In order to reap big benefits, it seems you need to be willing to take a big risk.
Social media
Social medIa as a data source is almost a no-brainer, right up there with survey methodologies and publicly available data sets. Unlike participatory methods campaigns, you don’t have to leave your computer in order to produce a campaign based on social media data.
Through our seven years of content creation, Fractl has produced campaigns based on data scrapes from Twitter, Instagram, Facebook, LinkedIn, Reddit, and more. From this experience, we know firsthand what kinds of social campaigns work and which ones fall flat.
The best thing about using social media as a source for content is that it can be applied to all verticals.
The biggest lesson we’ve learned from producing content based on social media data is that the methodology is typically subjective, so you need to keep the project lighthearted in nature in order to earn major coverage.
For example, we produced a campaign for a client in which we looked at Instagram posts with the hashtag #sexy and a geolocation. From this, we were able to glean the “sexiest” countries in the world as well as U.S. states.
While it would be impossible to learn what the actual sexiest places in the world were, (what does that even mean?) we were able to produce a fun campaign that used geo-bait to appeal to lighthearted publishers, like Glamour, E! Online, Women's Health, and Elite Daily.
Make sure that no matter the topic, whatever you produce contributes to an ongoing conversation. Statistics that don’t point to anything meaningful won’t be relevant for writers actually trying to add to the conversation.
Client data
Client data is often the most underappreciated data source for content marketers. You may be sitting on a wealth of actionable industry insights and not even know it.
You might think of internal data as only being useful for improving your internal processes at work, but it can also be valuable outside of your organization.
Unlike publicly available data, internal data is never-before-seen and 100% unique. Journalists eat this up because it means that you’re providing completely exclusive resources.
Think of this article, for example. This article is filled with data and insights that Fractl has gleaned after producing thousands of content marketing campaigns.
An added bonus of using internal data to craft your content is that, according to our analysis, it performs on par with surveys. Unlike surveys, though, it’s completely free.
Conclusion
No matter what methodology you’re using or vertical you’re creating content for, it’s important to realize that as content creators, we have an ethical and moral responsibility to create with an audience in mind.
With “fake news” on the forefront of everyone’s minds, building and maintaining trust with writers and editors is of the utmost importance.
All of the content you produce and promote must be assessed through a rigorous methodological lens to ensure that content is accurate and informative as well as eye-grabbing and entertaining.
Regardless of your methodology, if you don’t take the proper steps to make sure your data sources are accurate, you are contributing to the fake news epidemic.
Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!
from The Moz Blog https://ift.tt/2BLLSab More on https://seouk4.weebly.com/
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Text
How to Choose the Most Link-Worthy Data Source for Your Content
Posted by Domenica
Fractl has produced thousands of content marketing campaigns across every topic, and for the past seven years, we’ve been keeping track of each and every campaign in order to refine and improve the content we produce on behalf of our clients.
In my last post for Moz, I explained how to set realistic digital PR expectations for your content based on your niche. In this topic, I want to dive a little bit deeper into the data and share insights about how the source of your content can be just as important in determining how your content will perform.
In this analysis, I looked at 1,474 client content campaigns across six different data source categories:
Client data
Social media
Participatory methods
Publicly available data
Survey
Germ swab
It’s important to note that there are countless other data sources that we use for content campaigns every day at Fractl that are not mentioned in this article. In this analysis, each category has at least 20 campaigns, while some categories have several hundred campaigns.
It’s also important to note that averages were collected by excluding upper outliers. For campaigns that went “viral” and performed well above the norm, we excluded them in the calculation so as not to skew the averages higher.
In addition to sharing link and press averages, I will also be walking through how to produce pressworthy, sharable content from each data source and providing examples.
Managing expectations across content types
Across the entire sample of 1,474 campaigns, a project on average received 24 dofollow links and 89 press mentions in total.
A press mention is defined as any time the content campaign was mentioned on a publisher’s website.
There were some individual data source category averages that were on par with the sample average, while other categories deviated greatly from the sample average.
Publicly available data
For almost any niche out there, you can bet there is a publicly available data set available for use. Some examples include data from the CDC, the U.S. Census, colleges and universities, the WHO, and the TSA. The opportunities really are endless when it comes to using publicly available data as a methodology for your content.
While free data sets can be a treasure trove of information for your content, keep in mind that they’re not always the simplest to work with. They do require a lot of analysis to make sense of the massive amount of information in them, and to make the insights digestible for your audience.
Take for example a campaign we produced for a client called Neighborhood Names. The data was free from the US Census, but in order to make any sense of it, our researchers had to use QGIS, Python, text-mining, and phrasemachine (a text analysis API) just to narrow it down to what we were looking for.
And what were we looking for? Looking at neighborhood names across America seems boring at first, until you realize that certain words correspond to wealth.
I was the outreach specialist for this project, and by using the wealth angle, I was able to secure two notable placements on CNBC as well as a press mention on MSN. The project quickly made its way around the internet after that, earning 76 dofollow links and 202 total press mentions by the end of our reporting period.
Survey
Unlike scouring the internet for free data, using a survey as a methodology can be more costly. That being said, there is one major advantage to using a survey to shape your content: you can find out anything you want.
While publicly available data will tell a story, it’s not always the story you want to tell, and that’s where surveys come in.
Of course, when it comes to surveys, anyone can create one without paying attention to research method best practices. That's one of the problems we need to address. With “fake news” in the forefront of everyone’s minds in 2020, building trust with journalists and editors is of the utmost importance.
As content creators, we have a responsibility to ensure that content is not only attention-grabbing and entertaining, but also accurate and informative.
Survey campaigns, in particular, require you to analyze responses through a rigorous methodological lens. When collecting data for surveys, be sure to pay close attention to ethical upholdance, data validity, and fair visual representations.
Germ swab
From my own personal experience, germ swab content campaigns are the most fun, and often, the most disturbing. Fractl did some research a while back about the emotions that make content go viral, and oftentimes, germ swab campaigns hit all of the right emotions in the viral equation.
Negative emotions like disgust are often evoked when reviewing the results of germ swab campaigns. Our study found that when negative emotions are paired with emotions like anticipation or surprise, they can still achieve viral success (internet viral, not germ viral). What is more surprising than finding out the airplane tray table is dirtier than a toilet seat?
Publishers around the world seemed to think the content was surprising, too. This campaign performed above the norm for a typical content campaign earning 38 dofollows and 195 total press mentions — and this was before the COVID-19 pandemic.
Participatory methods
Participatory methods are campaigns that require active participation for the methodology. These are unique ideas — no two are alike. Some examples of campaigns that fall under the participatory methods category are when we had team members do a 30-day squat challenge, asked respondents to draw brand logos from memory, or when we literally drove from D.C. to NYC with a dash cam to record traffic violations.
These campaigns have a certain level of risk associated with them. They require a lot of upfront effort and planning without the promise of any return — and that’s scary for clients and for our team who put in tremendous effort to pull them off.
As you can see from the chart above, however, these ideas collectively performed right on par with other campaign types, and even better than survey methodologies for both the number of dofollow links and press mentions. In order to reap big benefits, it seems you need to be willing to take a big risk.
Social media
Social medIa as a data source is almost a no-brainer, right up there with survey methodologies and publicly available data sets. Unlike participatory methods campaigns, you don’t have to leave your computer in order to produce a campaign based on social media data.
Through our seven years of content creation, Fractl has produced campaigns based on data scrapes from Twitter, Instagram, Facebook, LinkedIn, Reddit, and more. From this experience, we know firsthand what kinds of social campaigns work and which ones fall flat.
The best thing about using social media as a source for content is that it can be applied to all verticals.
The biggest lesson we’ve learned from producing content based on social media data is that the methodology is typically subjective, so you need to keep the project lighthearted in nature in order to earn major coverage.
For example, we produced a campaign for a client in which we looked at Instagram posts with the hashtag #sexy and a geolocation. From this, we were able to glean the “sexiest” countries in the world as well as U.S. states.
While it would be impossible to learn what the actual sexiest places in the world were, (what does that even mean?) we were able to produce a fun campaign that used geo-bait to appeal to lighthearted publishers, like Glamour, E! Online, Women's Health, and Elite Daily.
Make sure that no matter the topic, whatever you produce contributes to an ongoing conversation. Statistics that don’t point to anything meaningful won’t be relevant for writers actually trying to add to the conversation.
Client data
Client data is often the most underappreciated data source for content marketers. You may be sitting on a wealth of actionable industry insights and not even know it.
You might think of internal data as only being useful for improving your internal processes at work, but it can also be valuable outside of your organization.
Unlike publicly available data, internal data is never-before-seen and 100% unique. Journalists eat this up because it means that you’re providing completely exclusive resources.
Think of this article, for example. This article is filled with data and insights that Fractl has gleaned after producing thousands of content marketing campaigns.
An added bonus of using internal data to craft your content is that, according to our analysis, it performs on par with surveys. Unlike surveys, though, it’s completely free.
Conclusion
No matter what methodology you’re using or vertical you’re creating content for, it’s important to realize that as content creators, we have an ethical and moral responsibility to create with an audience in mind.
With “fake news” on the forefront of everyone’s minds, building and maintaining trust with writers and editors is of the utmost importance.
All of the content you produce and promote must be assessed through a rigorous methodological lens to ensure that content is accurate and informative as well as eye-grabbing and entertaining.
Regardless of your methodology, if you don’t take the proper steps to make sure your data sources are accurate, you are contributing to the fake news epidemic.
Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!
0 notes
Text
How to Choose the Most Link-Worthy Data Source for Your Content
Posted by Domenica
Fractl has produced thousands of content marketing campaigns across every topic, and for the past seven years, we’ve been keeping track of each and every campaign in order to refine and improve the content we produce on behalf of our clients.
In my last post for Moz, I explained how to set realistic digital PR expectations for your content based on your niche. In this topic, I want to dive a little bit deeper into the data and share insights about how the source of your content can be just as important in determining how your content will perform.
In this analysis, I looked at 1,474 client content campaigns across six different data source categories:
Client data
Social media
Participatory methods
Publicly available data
Survey
Germ swab
It’s important to note that there are countless other data sources that we use for content campaigns every day at Fractl that are not mentioned in this article. In this analysis, each category has at least 20 campaigns, while some categories have several hundred campaigns.
It’s also important to note that averages were collected by excluding upper outliers. For campaigns that went “viral” and performed well above the norm, we excluded them in the calculation so as not to skew the averages higher.
In addition to sharing link and press averages, I will also be walking through how to produce pressworthy, sharable content from each data source and providing examples.
Managing expectations across content types
Across the entire sample of 1,474 campaigns, a project on average received 24 dofollow links and 89 press mentions in total.
A press mention is defined as any time the content campaign was mentioned on a publisher’s website.
There were some individual data source category averages that were on par with the sample average, while other categories deviated greatly from the sample average.
Publicly available data
For almost any niche out there, you can bet there is a publicly available data set available for use. Some examples include data from the CDC, the U.S. Census, colleges and universities, the WHO, and the TSA. The opportunities really are endless when it comes to using publicly available data as a methodology for your content.
While free data sets can be a treasure trove of information for your content, keep in mind that they’re not always the simplest to work with. They do require a lot of analysis to make sense of the massive amount of information in them, and to make the insights digestible for your audience.
Take for example a campaign we produced for a client called Neighborhood Names. The data was free from the US Census, but in order to make any sense of it, our researchers had to use QGIS, Python, text-mining, and phrasemachine (a text analysis API) just to narrow it down to what we were looking for.
And what were we looking for? Looking at neighborhood names across America seems boring at first, until you realize that certain words correspond to wealth.
I was the outreach specialist for this project, and by using the wealth angle, I was able to secure two notable placements on CNBC as well as a press mention on MSN. The project quickly made its way around the internet after that, earning 76 dofollow links and 202 total press mentions by the end of our reporting period.
Survey
Unlike scouring the internet for free data, using a survey as a methodology can be more costly. That being said, there is one major advantage to using a survey to shape your content: you can find out anything you want.
While publicly available data will tell a story, it’s not always the story you want to tell, and that’s where surveys come in.
Of course, when it comes to surveys, anyone can create one without paying attention to research method best practices. That's one of the problems we need to address. With “fake news” in the forefront of everyone’s minds in 2020, building trust with journalists and editors is of the utmost importance.
As content creators, we have a responsibility to ensure that content is not only attention-grabbing and entertaining, but also accurate and informative.
Survey campaigns, in particular, require you to analyze responses through a rigorous methodological lens. When collecting data for surveys, be sure to pay close attention to ethical upholdance, data validity, and fair visual representations.
Germ swab
From my own personal experience, germ swab content campaigns are the most fun, and often, the most disturbing. Fractl did some research a while back about the emotions that make content go viral, and oftentimes, germ swab campaigns hit all of the right emotions in the viral equation.
Negative emotions like disgust are often evoked when reviewing the results of germ swab campaigns. Our study found that when negative emotions are paired with emotions like anticipation or surprise, they can still achieve viral success (internet viral, not germ viral). What is more surprising than finding out the airplane tray table is dirtier than a toilet seat?
Publishers around the world seemed to think the content was surprising, too. This campaign performed above the norm for a typical content campaign earning 38 dofollows and 195 total press mentions — and this was before the COVID-19 pandemic.
Participatory methods
Participatory methods are campaigns that require active participation for the methodology. These are unique ideas — no two are alike. Some examples of campaigns that fall under the participatory methods category are when we had team members do a 30-day squat challenge, asked respondents to draw brand logos from memory, or when we literally drove from D.C. to NYC with a dash cam to record traffic violations.
These campaigns have a certain level of risk associated with them. They require a lot of upfront effort and planning without the promise of any return — and that’s scary for clients and for our team who put in tremendous effort to pull them off.
As you can see from the chart above, however, these ideas collectively performed right on par with other campaign types, and even better than survey methodologies for both the number of dofollow links and press mentions. In order to reap big benefits, it seems you need to be willing to take a big risk.
Social media
Social medIa as a data source is almost a no-brainer, right up there with survey methodologies and publicly available data sets. Unlike participatory methods campaigns, you don’t have to leave your computer in order to produce a campaign based on social media data.
Through our seven years of content creation, Fractl has produced campaigns based on data scrapes from Twitter, Instagram, Facebook, LinkedIn, Reddit, and more. From this experience, we know firsthand what kinds of social campaigns work and which ones fall flat.
The best thing about using social media as a source for content is that it can be applied to all verticals.
The biggest lesson we’ve learned from producing content based on social media data is that the methodology is typically subjective, so you need to keep the project lighthearted in nature in order to earn major coverage.
For example, we produced a campaign for a client in which we looked at Instagram posts with the hashtag #sexy and a geolocation. From this, we were able to glean the “sexiest” countries in the world as well as U.S. states.
While it would be impossible to learn what the actual sexiest places in the world were, (what does that even mean?) we were able to produce a fun campaign that used geo-bait to appeal to lighthearted publishers, like Glamour, E! Online, Women's Health, and Elite Daily.
Make sure that no matter the topic, whatever you produce contributes to an ongoing conversation. Statistics that don’t point to anything meaningful won’t be relevant for writers actually trying to add to the conversation.
Client data
Client data is often the most underappreciated data source for content marketers. You may be sitting on a wealth of actionable industry insights and not even know it.
You might think of internal data as only being useful for improving your internal processes at work, but it can also be valuable outside of your organization.
Unlike publicly available data, internal data is never-before-seen and 100% unique. Journalists eat this up because it means that you’re providing completely exclusive resources.
Think of this article, for example. This article is filled with data and insights that Fractl has gleaned after producing thousands of content marketing campaigns.
An added bonus of using internal data to craft your content is that, according to our analysis, it performs on par with surveys. Unlike surveys, though, it’s completely free.
Conclusion
No matter what methodology you’re using or vertical you’re creating content for, it’s important to realize that as content creators, we have an ethical and moral responsibility to create with an audience in mind.
With “fake news” on the forefront of everyone’s minds, building and maintaining trust with writers and editors is of the utmost importance.
All of the content you produce and promote must be assessed through a rigorous methodological lens to ensure that content is accurate and informative as well as eye-grabbing and entertaining.
Regardless of your methodology, if you don’t take the proper steps to make sure your data sources are accurate, you are contributing to the fake news epidemic.
Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!
0 notes
Text
How to Choose the Most Link-Worthy Data Source for Your Content
Posted by Domenica
Fractl has produced thousands of content marketing campaigns across every topic, and for the past seven years, we’ve been keeping track of each and every campaign in order to refine and improve the content we produce on behalf of our clients.
In my last post for Moz, I explained how to set realistic digital PR expectations for your content based on your niche. In this topic, I want to dive a little bit deeper into the data and share insights about how the source of your content can be just as important in determining how your content will perform.
In this analysis, I looked at 1,474 client content campaigns across six different data source categories:
Client data
Social media
Participatory methods
Publicly available data
Survey
Germ swab
It’s important to note that there are countless other data sources that we use for content campaigns every day at Fractl that are not mentioned in this article. In this analysis, each category has at least 20 campaigns, while some categories have several hundred campaigns.
It’s also important to note that averages were collected by excluding upper outliers. For campaigns that went “viral” and performed well above the norm, we excluded them in the calculation so as not to skew the averages higher.
In addition to sharing link and press averages, I will also be walking through how to produce pressworthy, sharable content from each data source and providing examples.
Managing expectations across content types
Across the entire sample of 1,474 campaigns, a project on average received 24 dofollow links and 89 press mentions in total.
A press mention is defined as any time the content campaign was mentioned on a publisher’s website.
There were some individual data source category averages that were on par with the sample average, while other categories deviated greatly from the sample average.
Publicly available data
For almost any niche out there, you can bet there is a publicly available data set available for use. Some examples include data from the CDC, the U.S. Census, colleges and universities, the WHO, and the TSA. The opportunities really are endless when it comes to using publicly available data as a methodology for your content.
While free data sets can be a treasure trove of information for your content, keep in mind that they’re not always the simplest to work with. They do require a lot of analysis to make sense of the massive amount of information in them, and to make the insights digestible for your audience.
Take for example a campaign we produced for a client called Neighborhood Names. The data was free from the US Census, but in order to make any sense of it, our researchers had to use QGIS, Python, text-mining, and phrasemachine (a text analysis API) just to narrow it down to what we were looking for.
And what were we looking for? Looking at neighborhood names across America seems boring at first, until you realize that certain words correspond to wealth.
I was the outreach specialist for this project, and by using the wealth angle, I was able to secure two notable placements on CNBC as well as a press mention on MSN. The project quickly made its way around the internet after that, earning 76 dofollow links and 202 total press mentions by the end of our reporting period.
Survey
Unlike scouring the internet for free data, using a survey as a methodology can be more costly. That being said, there is one major advantage to using a survey to shape your content: you can find out anything you want.
While publicly available data will tell a story, it’s not always the story you want to tell, and that’s where surveys come in.
Of course, when it comes to surveys, anyone can create one without paying attention to research method best practices. That's one of the problems we need to address. With “fake news” in the forefront of everyone’s minds in 2020, building trust with journalists and editors is of the utmost importance.
As content creators, we have a responsibility to ensure that content is not only attention-grabbing and entertaining, but also accurate and informative.
Survey campaigns, in particular, require you to analyze responses through a rigorous methodological lens. When collecting data for surveys, be sure to pay close attention to ethical upholdance, data validity, and fair visual representations.
Germ swab
From my own personal experience, germ swab content campaigns are the most fun, and often, the most disturbing. Fractl did some research a while back about the emotions that make content go viral, and oftentimes, germ swab campaigns hit all of the right emotions in the viral equation.
Negative emotions like disgust are often evoked when reviewing the results of germ swab campaigns. Our study found that when negative emotions are paired with emotions like anticipation or surprise, they can still achieve viral success (internet viral, not germ viral). What is more surprising than finding out the airplane tray table is dirtier than a toilet seat?
Publishers around the world seemed to think the content was surprising, too. This campaign performed above the norm for a typical content campaign earning 38 dofollows and 195 total press mentions — and this was before the COVID-19 pandemic.
Participatory methods
Participatory methods are campaigns that require active participation for the methodology. These are unique ideas — no two are alike. Some examples of campaigns that fall under the participatory methods category are when we had team members do a 30-day squat challenge, asked respondents to draw brand logos from memory, or when we literally drove from D.C. to NYC with a dash cam to record traffic violations.
These campaigns have a certain level of risk associated with them. They require a lot of upfront effort and planning without the promise of any return — and that’s scary for clients and for our team who put in tremendous effort to pull them off.
As you can see from the chart above, however, these ideas collectively performed right on par with other campaign types, and even better than survey methodologies for both the number of dofollow links and press mentions. In order to reap big benefits, it seems you need to be willing to take a big risk.
Social media
Social medIa as a data source is almost a no-brainer, right up there with survey methodologies and publicly available data sets. Unlike participatory methods campaigns, you don’t have to leave your computer in order to produce a campaign based on social media data.
Through our seven years of content creation, Fractl has produced campaigns based on data scrapes from Twitter, Instagram, Facebook, LinkedIn, Reddit, and more. From this experience, we know firsthand what kinds of social campaigns work and which ones fall flat.
The best thing about using social media as a source for content is that it can be applied to all verticals.
The biggest lesson we’ve learned from producing content based on social media data is that the methodology is typically subjective, so you need to keep the project lighthearted in nature in order to earn major coverage.
For example, we produced a campaign for a client in which we looked at Instagram posts with the hashtag #sexy and a geolocation. From this, we were able to glean the “sexiest” countries in the world as well as U.S. states.
While it would be impossible to learn what the actual sexiest places in the world were, (what does that even mean?) we were able to produce a fun campaign that used geo-bait to appeal to lighthearted publishers, like Glamour, E! Online, Women's Health, and Elite Daily.
Make sure that no matter the topic, whatever you produce contributes to an ongoing conversation. Statistics that don’t point to anything meaningful won’t be relevant for writers actually trying to add to the conversation.
Client data
Client data is often the most underappreciated data source for content marketers. You may be sitting on a wealth of actionable industry insights and not even know it.
You might think of internal data as only being useful for improving your internal processes at work, but it can also be valuable outside of your organization.
Unlike publicly available data, internal data is never-before-seen and 100% unique. Journalists eat this up because it means that you’re providing completely exclusive resources.
Think of this article, for example. This article is filled with data and insights that Fractl has gleaned after producing thousands of content marketing campaigns.
An added bonus of using internal data to craft your content is that, according to our analysis, it performs on par with surveys. Unlike surveys, though, it’s completely free.
Conclusion
No matter what methodology you’re using or vertical you’re creating content for, it’s important to realize that as content creators, we have an ethical and moral responsibility to create with an audience in mind.
With “fake news” on the forefront of everyone’s minds, building and maintaining trust with writers and editors is of the utmost importance.
All of the content you produce and promote must be assessed through a rigorous methodological lens to ensure that content is accurate and informative as well as eye-grabbing and entertaining.
Regardless of your methodology, if you don’t take the proper steps to make sure your data sources are accurate, you are contributing to the fake news epidemic.
Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!
0 notes