#Upwork

[mostlysignssomeportents]

AI’s productivity theater

Support me this summer on the Clarion Write-A-Thon and help raise money for the Clarion Science Fiction and Fantasy Writers' Workshop!

When I took my kid to New Zealand with me on a book-tour, I was delighted to learn that grocery stores had special aisles where all the kids'-eye-level candy had been removed, to minimize nagging. What a great idea!

Related: countries around the world limit advertising to children, for two reasons:

1) Kids may not be stupid, but they are inexperienced, and that makes them gullible; and

2) Kids don't have money of their own, so their path to getting the stuff they see in ads is nagging their parents, which creates a natural constituency to support limits on kids' advertising (nagged parents).

There's something especially annoying about ads targeted at getting credulous people to coerce or torment other people on behalf of the advertiser. For example, AI companies spent millions targeting your boss in an effort to convince them that you can be replaced with a chatbot that absolutely, positively cannot do your job.

Your boss has no idea what your job entails, and is (not so) secretly convinced that you're a featherbedding parasite who only shows up for work because you fear the breadline, and not because your job is a) challenging, or b) rewarding:

https://pluralistic.net/2024/04/19/make-them-afraid/#fear-is-their-mind-killer

That makes them prime marks for chatbot-peddling AI pitchmen. Your boss would love to fire you and replace you with a chatbot. Chatbots don't unionize, they don't backtalk about stupid orders, and they don't experience any inconvenient moral injury when ordered to enshittify the product:

https://pluralistic.net/2023/11/25/moral-injury/#enshittification

Bosses are Bizarro-world Marxists. Like Marxists, your boss's worldview is organized around the principle that every dollar you take home in wages is a dollar that isn't available for executive bonuses, stock buybacks or dividends. That's why you boss is insatiably horny for firing you and replacing you with software. Software is cheaper, and it doesn't advocate for higher wages.

That makes your boss such an easy mark for AI pitchmen, which explains the vast gap between the valuation of AI companies and the utility of AI to the customers that buy those companies' products. As an investor, buying shares in AI might represent a bet the usefulness of AI – but for many of those investors, backing an AI company is actually a bet on your boss's credulity and contempt for you and your job.

But bosses' resemblance to toddlers doesn't end with their credulity. A toddler's path to getting that eye-height candy-bar goes through their exhausted parents. Your boss's path to realizing the productivity gains promised by an AI salesman runs through you.

A new research report from the Upwork Research Institute offers a look into the bizarre situation unfolding in workplaces where bosses have been conned into buying AI and now face the challenge of getting it to work as advertised:

https://www.upwork.com/research/ai-enhanced-work-models

The headline findings tell the whole story:

96% of bosses expect that AI will make their workers more productive;

85% of companies are either requiring or strongly encouraging workers to use AI;

49% of workers have no idea how AI is supposed to increase their productivity;

77% of workers say using AI decreases their productivity.

Working at an AI-equipped workplaces is like being the parent of a furious toddler who has bought a million Sea Monkey farms off the back page of a comic book, and is now destroying your life with demands that you figure out how to get the brine shrimp he ordered from a notorious Holocaust denier to wear little crowns like they do in the ad:

https://www.splcenter.org/fighting-hate/intelligence-report/2004/hitler-and-sea-monkeys

Bosses spend a lot of time thinking about your productivity. The "productivity paradox" shows a rapid, persistent decline in American worker productivity, starting in the 1970s and continuing to this day:

https://en.wikipedia.org/wiki/Productivity_paradox

The "paradox" refers to the growth of IT, which is sold as a productivity-increasing miracle. There are many theories to explain this paradox. One especially good theory came from the late David Graeber (rest in power), in his 2012 essay, "Of Flying Cars and the Declining Rate of Profit":

https://thebaffler.com/salvos/of-flying-cars-and-the-declining-rate-of-profit

Graeber proposes that the growth of IT was part of a wider shift in research approaches. Research was once dominated by weirdos (e.g. Jack Parsons, Oppenheimer, etc) who operated with relatively little red tape. The rise of IT coincides with the rise of "managerialism," the McKinseyoid drive to monitor, quantify and – above all – discipline the workforce. IT made it easier to generate these records, which also made it normal to expect these records.

Before long, every employee – including the "creatives" whose ideas were credited with the productivity gains of the American century until the 70s – was spending a huge amount of time (sometimes the majority of their working days) filling in forms, documenting their work, and generally producing a legible account of their day's work. All this data gave rise to a ballooning class of managers, who colonized every kind of institution – not just corporations, but also universities and government agencies, which were structured to resemble corporations (down to referring to voters or students as "customers").

Even if you think all that record-keeping might be useful, there's no denying that the more time you spend documenting your work, the less time you have to do your work. The solution to this was inevitably more IT, sold as a way to make the record-keeping easier. But adding IT to a bureaucracy is like adding lanes to a highway: the easier it is to demand fine-grained record-keeping, the more record-keeping will be demanded of you.

But that's not all that IT did for the workplace. There are a couple areas in which IT absolutely increased the profitability of the companies that invested in it.

First, IT allowed corporations to outsource production to low-waged countries in the global south, usually places with worse labor protection, weaker environmental laws, and easily bribed regulators. It's really hard to produce things in factories thousands of miles away, or to oversee remote workers in another country. But IT makes it possible to annihilate distance, time zone gaps, and language barriers. Corporations that figured out how to use IT to fire workers at home and exploit workers and despoil the environment in distant lands thrived. Executives who oversaw these projects rose through the ranks. For example, Tim Cook became the CEO of Apple thanks to his successes in moving production out of the USA and into China.

https://archive.is/M17qq

Outsourcing provided a sugar high that compensated for declining productivity…for a while. But eventually, all the gains to be had from outsourcing were realized, and companies needed a new source of cheap gains. That's where "bossware" came in: the automation of workforce monitoring and discipline. Bossware made it possible to monitor workers at the finest-grained levels, measuring everything from keystrokes to eyeball movements.

What's more, the declining power of the American worker – a nice bonus of the project to fire huge numbers of workers and ship their jobs overseas, which made the remainder terrified of losing their jobs and thus willing to eat a rasher of shit and ask for seconds – meant that bossware could be used to tie wages to metrics. It's not just gig workers who don't score consistent five star ratings from app users whose pay gets docked – it's also creative workers whose Youtube and Tiktok wages are cut for violating rules that they aren't allowed to know, because that might help them break the rules without being detected and punished:

https://pluralistic.net/2024/01/13/solidarity-forever/#tech-unions

Bossware dominates workplaces from public schools to hospitals, restaurants to call centers, and extends to your home and car, if you're working from home (AKA "living at work") or driving for Uber or Amazon:

https://pluralistic.net/2020/10/02/chickenized-by-arise/#arise

In providing a pretense for stealing wages, IT can increase profits, even as it reduces productivity:

https://pluralistic.net/2024/01/11/robots-stole-my-jerb/#computer-says-no

One way to think about how this works is through the automation-theory metaphor of a "centaur" and a "reverse centaur." In automation circles, a "centaur" is someone who is assisted by an automation tool – for example, when your boss uses AI to monitor your eyeballs in order to find excuses to steal your wages, they are a centaur, a human head atop a machine body that does all the hard work, far in excess of any human's capacity.

A "reverse centaur" is a worker who acts as an assistant to an automation system. The worker who is ridden by an AI that monitors their eyeballs, bathroom breaks, and keystrokes is a reverse centaur, being used (and eventually, used up) by a machine to perform the tasks that the machine can't perform unassisted:

https://pluralistic.net/2023/04/12/algorithmic-wage-discrimination/#fishers-of-men

But there's only so much work you can squeeze out of a human in this fashion before they are ruined for the job. Amazon's internal research reveals that the company has calculated that it ruins workers so quickly that it is in danger of using up every able-bodied worker in America:

https://www.vox.com/recode/23170900/leaked-amazon-memo-warehouses-hiring-shortage

Which explains the other major findings from the Upwork study:

81% of bosses have increased the demands they make on their workers over the past year; and

71% of workers are "burned out."

Bosses' answer to "AI making workers feel burned out" is the same as "IT-driven form-filling makes workers unproductive" – do more of the same, but go harder. Cisco has a new product that tries to detect when workers are about to snap after absorbing abuse from furious customers and then gives them a "Zen" moment in which they are showed a "soothing" photo of their family:

https://finance.yahoo.com/news/ai-bringing-zen-first-horizons-192010166.html

This is just the latest in a series of increasingly sweaty and cruel "workplace wellness" technologies that spy on workers and try to help them "manage their stress," all of which have the (totally predictable) effect of increasing workplace stress:

https://pluralistic.net/2024/03/15/wellness-taylorism/#sick-of-spying

The only person who wouldn't predict that being closely monitored by an AI that snitches on you to your boss would increase your stress levels is your boss. Unfortunately for you, AI pitchmen know this, too, and they're more than happy to sell your boss the reverse-centaur automation tool that makes you want to die, and then sell your boss another automation tool that is supposed to restore your will to live.

The "productivity paradox" is being resolved before our eyes. American per-worker productivity fell because it was more profitable to ship American jobs to regulatory free-fire zones and exploit the resulting precarity to abuse the workers left onshore. Workers who resented this arrangement were condemned for having a shitty "work ethic" – even as the number of hours worked by the average US worker rose by 13% between 1976 and 2016:

https://pluralistic.net/2024/01/11/robots-stole-my-jerb/#computer-says-no

AI is just a successor gimmick at the terminal end of 40 years of increasing profits by taking them out of workers' hides rather than improving efficiency. That arrangement didn't come out of nowhere: it was a direct result of a Reagan-era theory of corporate power called "consumer welfare." Under the "consumer welfare" approach to antitrust, monopolies were encouraged, provided that they used their market power to lower wages and screw suppliers, while lowering costs to consumers.

"Consumer welfare" supposed that we could somehow separate our identities as "workers" from our identities as "shoppers" – that our stagnating wages and worsening conditions ceased mattering to us when we clocked out at 5PM (or, you know, 9PM) and bought a $0.99 Meal Deal at McDonald's whose low, low price was only possible because it was cooked by someone sleeping in their car and collecting food-stamps.

https://www.theguardian.com/us-news/article/2024/jul/20/disneyland-workers-anaheim-california-authorize-strike

But we're reaching the end of the road for consumer welfare. Sure, your toddler-boss can be tricked into buying AI and firing half of your co-workers and demanding that the remainder use AI to do their jobs. But if AI can't do their jobs (it can't), no amount of demanding that you figure out how to make the Sea Monkeys act like they did in the comic-book ad is doing to make that work.

As screwing workers and suppliers produces fewer and fewer gains, companies are increasingly turning on their customers. It's not just that you're getting worse service from chatbots or the humans who are reverse-centaured into their workflow. You're also paying more for that, as algorithmic surveillance pricing uses automation to gouge you on prices in realtime:

https://pluralistic.net/2024/07/24/gouging-the-all-seeing-eye/#i-spy

This is – in the memorable phrase of David Dayen and Lindsay Owens, the "age of recoupment," in which companies end their practice of splitting the gains from suppressing labor with their customers:

https://prospect.org/economy/2024-06-03-age-of-recoupment/

It's a bet that the tolerance for monopolies made these companies too big to fail, and that means they're too big to jail, so they can cheat their customers as well as their workers.

AI may be a bet that your boss can be suckered into buying a chatbot that can't do your job, but investors are souring on that bet. Goldman Sachs, who once trumpeted AI as a multi-trillion dollar sector with unlimited growth, is now publishing reports describing how companies who buy AI can't figure out what to do with it:

https://www.goldmansachs.com/intelligence/pages/gs-research/gen-ai-too-much-spend-too-little-benefit/report.pdf

Fine, investment banks are supposed to be a little conservative. But VCs? They're the ones with all the appetite for risk, right? Well, maybe so, but Sequoia Capital, a top-tier Silicon Valley VC, is also publicly questioning whether anyone will make AI investments pay off:

https://www.sequoiacap.com/article/ais-600b-question/

I can't tell you how great it was to take my kid down a grocery checkout aisle from which all the eye-level candy had been removed. Alas, I can't figure out how we keep the nation's executive toddlers from being dazzled by shiny AI pitches that leave us stuck with the consequences of their impulse purchases.

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/07/25/accountability-sinks/#work-harder-not-smarter

Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

[ashtonfei]

Monday Coffee #coffee #latte #monday

[bitchesgetriches]

Hi! Would you guys recommend Upwork or Fiverr or any of those sites for graphic design work? I've never used any but I'm interested in doing some small jobs but i don't know how effective and trustworthy they are

Typically we don't love those sites because the pricing model tends to devalue the work of freelancers. HOWEVER, if you're just starting out they can be a great place to build your portfolio with small jobs and meet clients that you can then use to build your client base outside of those sites.

Here's more:

Stop Undervaluing Your Freelance Work, You Darling Fool

Should Artists Ever Work for Free? 

Season 4, Episode 10: “I’m a Freelance Artist. How Do I Price My Work Fairly Without Losing Clients?” 

Freelancer, Protect Thyself... With a Fair Contract 

Becoming a Millennial Entrepreneur (In the Midst of a Pandemic) With Katelyn Magnuson 

11 Awful Mistakes I Made as a Self-employed Freelancer, and How You Can Avoid Them 

Did we just help you out? Join our Patreon!

[allstore247]

Power Bank Services provider company modern and clean style logo

[prettyquickpoetry]

To all other editors and ghostwriters:

There’s apparently this $2000 online course called Fiction Profits Academy ‘teaching’ people how to make tons of passive income on Amazon as an ‘author’ by outsourcing everything. They’re being taught to squeeze writers and editors for everything they’ve got for the lowest possible price.

The students have flooded Upwork. You’ve probably seen all the many listings for ghost writing with infinitesimal budgets popping up. STAY AWAY.

These people are trying to flood the self publishing market with the sole purpose of making money. They are going to drive the cost of work way down, negatively affecting all freelancers whether they work directly with an FPA student or not.

I don’t know what makes them think this is a good idea. Authors who actually write books themselves and publish with the purpose of sharing their stories barely break even.

Readers aren’t stupid. They can tell if your story has heart or not, and these people trying to pay $300 for an entire novel? There’s no heart in that.

So good luck to these students, many of whom are already $10k+ in the red. And good luck to the freelancers they’re bleeding dry.

[justdesignmedia]

Modern logo for Outdoor property dealer "Red Rock Radon"

If you want your won company logo please contact me and for more sample please visit my portfolio here- https://www.freelancer.com/portfolio-items/9956477-modern-logo-for-red-rock-radon

[topicteller1122]

Real Estate Agent Salary: How Much Do Real Estate Agents Make?

Real estate can be a lucrative career, but how much do real estate agents actually earn? If you're considering becoming a real estate agent or just curious about the profession, this guide will break down the average salaries, commission structures, and factors that impact earnings.

How Real Estate Agents Make Money

Unlike traditional salaried jobs, most real estate agents earn money through commissions. When an agent helps buy or sell a property, they receive a percentage of the sale price as their payment. This means an agent’s earnings are largely performance-based.

Commission Structure

Real estate commissions typically range from 4% to 6% of the property’s sale price, with the amount split between the buyer’s agent and the seller’s agent. If a home sells for $300,000 at a 6% commission rate, that’s $18,000 in total commission, which is usually divided as follows:

50% to the buyer’s agent ($9,000)

50% to the seller’s agent ($9,000)

Brokers may take a portion of the agent's commission, reducing their take-home earnings.

Average Salary of a Real Estate Agent

The annual salary of a real estate agent varies based on experience, location, and work ethic. According to the U.S. Bureau of Labor Statistics (BLS):

Median Annual Salary (2024): Around $51,220

Top 10% Earners: Over $112,000 per year

Lowest 10% Earners: Under $25,000 per year

New agents often struggle in their first year as they build a client base, while experienced agents with strong networks can earn six figures or more.

Factors Affecting Real Estate Agent Salaries

1. Location

Real estate agents in high-demand markets earn significantly more. For instance, agents in New York City, Los Angeles, and San Francisco tend to make higher commissions due to expensive property values. In contrast, smaller towns and rural areas may offer lower commissions due to lower home prices.

2. Experience Level

Entry-Level Agents (0-2 Years): Typically earn between $30,000 and $50,000.

Mid-Career Agents (3-5 Years): Earn between $50,000 and $80,000.

Experienced Agents (5+ Years): Can earn over $100,000, especially if they have a solid referral base.

3. Number of Sales

A successful real estate agent closes multiple transactions per year. The more deals closed, the higher the earnings. Top-performing agents sell 30+ homes per year, while the average agent sells around 12 homes per year.

4. Brokerage Commission Split

New agents often work under a brokerage that takes a percentage of their earnings. Some common splits include:

50/50 split: Half goes to the agent, half to the brokerage.

70/30 split: Agent keeps 70%, brokerage gets 30%.

100% commission model: Agents pay a flat fee to the brokerage and keep the rest of the commission.

5. Specializations & Certifications

Agents who specialize in luxury homes, commercial properties, or investment properties tend to earn more. Additional certifications like Certified Residential Specialist (CRS) or Accredited Buyer’s Representative (ABR) can also increase credibility and income.

How to Increase Your Salary as a Real Estate Agent

1. Focus on High-Value Properties

Selling higher-priced homes leads to bigger commission checks. Targeting upscale neighborhoods or commercial properties can significantly boost earnings.

2. Build a Strong Network

Referrals and repeat clients are key to a steady income. Building relationships with past clients, mortgage lenders, and local businesses helps generate leads.

3. Leverage Online Marketing

Having a professional website, social media presence, and utilizing SEO-driven real estate blogs can attract buyers and sellers. Investing in digital marketing can help grow your client base.

4. Work With a High-Commission Brokerage

Choosing a brokerage with a better commission split means keeping more of your earnings. Some brokerages allow agents to keep 100% of their commissions in exchange for a monthly fee.

5. Become a Real Estate Broker

Experienced agents can become brokers, allowing them to earn from their own sales and from the agents working under them.

Final Thoughts

A real estate agent’s salary varies widely based on location, experience, and effort. While new agents may struggle in the beginning, those who stay dedicated and build strong networks can earn six figures or more. By specializing in high-value properties, leveraging online marketing, and working with the right brokerage, agents can maximize their earnings in this dynamic industry.

FAQs About Real Estate Agent Salaries

1. Do real estate agents get a base salary? Most agents work on commission, meaning they don’t receive a fixed salary. However, some brokerages offer a base salary plus commission.

2. Can real estate agents make six figures? Yes, top agents who close multiple high-value deals can easily earn over $100,000 per year.

3. How long does it take to start making money as a real estate agent? It can take 3-6 months to close the first deal. New agents often struggle at first but can build momentum with consistent effort.

4. What is the highest-paying real estate job? Luxury real estate agents, commercial real estate brokers, and real estate investors typically make the most money.

By optimizing your career strategy and staying committed, you can make real estate a highly rewarding profession. Are you ready to start your journey as a real estate agent?

[cookiesnerd]

Audio Podcast Editing

In the rapidly growing world of digital content, podcasts have emerged as a powerful medium for storytelling, education, and entertainment. While the content itself holds significant importance, the quality of audio can make or break a podcast. This is where audio podcast editing comes into play. Editing not only refines the sound quality but also enhances the overall listener experience. This article delves into the essentials of audio podcast editing, from basic techniques to advanced tips.

The Importance of Podcast Editing

Podcast editing is more than just cutting out mistakes or awkward pauses. Here is my profile about services of AUDIO PODCAST EDITING It's about creating a polished product that engages listeners. High-quality audio can establish credibility, maintain audience attention, and improve the accessibility of content. Poor audio quality, on the other hand, can be distracting and may cause listeners to abandon an episode prematurely.

Essential Tools for Podcast Editing

Before diving into the editing process, having the right tools is crucial. Here are some popular audio editing software options:

Audacity: A free, open-source software that's perfect for beginners. It offers basic editing features like cutting, trimming, and noise reduction.

Adobe Audition: A professional-grade software with advanced features for detailed editing, mixing, and mastering.

GarageBand: Ideal for Mac users, this intuitive tool is great for recording and basic editing.

Hindenburg Journalist: Designed specifically for podcasters, it offers automatic audio leveling and easy-to-use editing features.

Descript: A modern tool that allows you to edit audio as if you’re editing text, making it incredibly user-friendly.

Basic Editing Techniques

Trimming and Cutting: Remove unnecessary parts like long pauses, filler words (um, uh, like), and off-topic tangents to keep the content concise.

Noise Reduction: Eliminate background noise, hums, and hisses to ensure clarity.

Equalization (EQ): Adjust frequencies to balance the audio, making voices sound fuller and clearer.

Compression: Manage volume levels to ensure consistent sound throughout the episode.

Fading In and Out: Smooth transitions between segments with fade effects to avoid abrupt starts or stops.

Adding Music and Sound Effects: Incorporate intro/outro music and sound effects to enhance the listening experience.

Advanced Editing Techniques

For podcasters looking to elevate their production quality, consider these advanced techniques:

Multitrack Editing: Work with multiple audio tracks simultaneously to fine-tune interviews, discussions, or panel recordings.

De-essing: Reduce harsh "s" sounds that can be jarring to listeners.

Normalization: Adjust the overall volume to meet industry standards, ensuring consistency across episodes.

Dynamic Range Compression: Enhance the clarity of voices, especially in environments with varying loudness.

Audio Restoration: Fix distorted audio, remove clicks, pops, and other imperfections using specialized plugins.

The Editing Workflow

A structured workflow can make the editing process more efficient:

Import Audio: Bring your raw recordings into the editing software.

Organize Tracks: Label and arrange tracks for easy navigation.

Initial Cleanup: Remove obvious mistakes, silences, and background noises.

Detailed Editing: Focus on fine-tuning audio levels, applying EQ, and adding effects.

Review: Listen to the episode from start to finish to catch any missed errors.

Export: Save the final version in a suitable format (usually MP3 for podcasts) with appropriate settings for bitrate and file size.

Common Mistakes to Avoid

Over-editing: Removing too many natural pauses can make conversations sound robotic.

Ignoring Audio Levels: Inconsistent volume can frustrate listeners who constantly adjust their device's volume.

Skipping the Final Review: Always listen to the entire episode before publishing to catch unnoticed errors.

Using Excessive Effects: Overuse of reverb, echo, or background music can distract from the main content.

Tips for Efficient Podcast Editing

Use Keyboard Shortcuts: Learn shortcuts in your editing software to speed up the process.

Batch Process: Apply effects and adjustments to multiple files at once when possible.

Invest in Good Equipment: High-quality microphones and recording environments reduce the need for extensive editing.

Create a Template: Set up project templates with pre-configured tracks, effects, and settings to save time.

Stay Organized: Keep your files, audio clips, and project folders well-organized to avoid confusion.

Conclusion

Audio podcast editing is both an art and a science. It requires technical skills, a good ear, and attention to detail. Whether you're a beginner learning the basics or an experienced podcaster aiming for professional-quality sound, the key is continuous practice and experimentation. With the right tools, techniques, and a commitment to quality, you can create engaging, polished podcasts that captivate and grow your audience.

[iamhossain]

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I’ve left no stone unturned to give you a highly advanced, next generation, AI powered platform!

FunnelXAi has been specifically created keeping marketers and businesses like you in mind.

Content creators

Digital Product creators

PLR Producers

Info product marketers

Entrepreneurs

Web designers

Internet business owners

Online coaches, Trainers

Professionals from any field

Social media marketers, Influencers

Website owners & bloggers

Freelancers - Fiverr, Upwork professionals

👉 Click here to get started and see FunnelX AI in action!"

Features

FunnelX AI offers a comprehensive suite of features designed to make funnel-building and marketing automation more efficient. Here are some key features:

1. AI-Powered Funnel Builder: Automatically creates optimized sales funnels based on data insights. The AI customizes each funnel according to specific business goals, user behavior, and customer journey stages.

2. Lead Scoring and Segmentation: FunnelX AI uses algorithms to score leads based on engagement, interactions, and buying signals. It segments leads into groups (e.g., high-potential, lukewarm) to help businesses target and prioritize leads effectively.

3. Personalized Content and Messaging: Provides personalized content recommendations for emails, landing pages, and ads, tailoring messages to individual preferences and behaviors for higher engagement.

4. Behavioral Analytics and Customer Insights: Tracks user interactions across channels, providing insights into how leads interact with content, which products they’re interested in, and what influences their decisions.

5. Automated Email Campaigns: Enables automated, drip-style email campaigns with AI-suggested timing and content. Emails can be customized and scheduled based on user behavior, ensuring messages reach leads at optimal times.

6. Landing Page Optimization: FunnelX AI offers customizable landing page templates optimized for conversions. The AI can A/B test different layouts and elements (like headlines and CTAs) and adjust designs to maximize effectiveness.

7. Real-Time Performance Tracking: Gives a dashboard with real-time analytics on funnel performance, showing metrics like click-through rates, bounce rates, conversion rates, and ROI. Users can make quick adjustments based on current performance data.

8. Predictive Analytics: Uses machine learning to forecast lead behavior, helping businesses anticipate the next best action for a lead, such as the ideal follow-up time or the most likely conversion path.

9. Seamless Integrations: FunnelX AI integrates with major CRM, email marketing, and ad platforms, allowing businesses to sync data across systems and centralize customer information for easier tracking and analysis.

10. AI-Driven Recommendations: Provides actionable insights and recommendations, such as changing campaign timing, adjusting messages, or retargeting specific lead segments, all based on funnel performance data.

These features make FunnelX AI a powerful tool for businesses aiming to automate their sales and marketing funnels, optimize engagement, and drive conversions through a data-driven approach.

It high-tech AI sales page editor comes with powerful features:

Choose 18 types of layouts

Text formats

Buttons

Different components

Add forms and form groups

Add media – image, image grids, responsive videos

Edit layout – change background, shadow, padding, margin, border

Page SEO settings – Optimize sales page for keywords

Publish site, 

export

Get Instant Access Now>>>

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Queston: How long does it take to see results from SEO?

ans: SEO Optimization is a long-term strategy, and significant improvements in search rankings and site traffic may take several weeks or even months to materialize. However, rest assured that our SEO strategies are crafted for quick and effective delivery of quality results.

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[desmondemmanuel22]

Content writer/Blog writing/script writing

Hello

My name is Desmond Emmanuel and I'm an intermediate content writer on upwork

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