#adtech software development
Explore tagged Tumblr posts
magicmindsblog · 4 months ago
Text
Future trends in Adtech
ADtech: The lovechild of advertising and technology. That’s my go-to line, you can come up with your own after this read. If you've been around the internet advertising landscape like I have, and has seen the advent of it right from banners on Orkut to modern ad displays on large displays at the superbowl game, then you’ll agree with me that it’s a constantly evolving beast. One minute you're attempting to grasp programmatic buying, the next you're immersed in AI algorithms and blockchain. So, what is next on the horizon? Let us dust off our crystal ball and look into the future of ad tech. Spoiler alert: it's quite thrilling!
Tumblr media
First, let's discuss AI taking over the advertising landscape. No, we are not in the Matrix where AI has taken over everything real. We're discussing AI in advertising. AI is becoming increasingly intelligent, and it is transforming the way advertisements are targeted and delivered. Imagine your ads are so flawlessly customised to your target demographic that it feels like you've read their brains. Creepy? Perhaps a little but yeah it’s possible. Effective? That’s a different discussion, since it does require human intervention at some level.
Next up is the boom in the video content. If you believe that video content has destroyed retro radio, have a look at what it is doing to the traditional advertisements. Video content reigns supreme, and it is unlikely to relinquish that position any time soon there will be advancement in the technology around it of course(5D, 6D etc.). Future AdTech will use the power of video like never before, employing powerful algorithms to place the ideal video ad precisely where it will capture the most attention. And as interactive video advertising gains popularity, expect a more engaging, clickable experience. Imagine seeing a video about the latest electronics and being able to click on that shiny new phone and buy it right now.
Let us not forget about the growth of Connected TV. CTV is no longer a buzzword; it is altering the game. More individuals are watching their favourite TV episodes and movies on platforms such as Netflix, Hulu, and Disney+. This trend away from traditional cable implies that advertising must be more inventive in their approach. Future trends suggest increasingly targeted, programmatic adverts that effortlessly merge into your binge-watching sessions. Yes, you could love some of these advertisements. Isn't this crazy?
High-Octane knowledge incoming: Blockchain!
Now, I’m an engineer but not a nerd so hear me out as I try to explain this in simple words. Blockchain technology is destined to provide much-needed transparency and security to the AdTech industry. It's like having a nerdy, trustworthy friend (may be the one with OCD) who always keeps everything in order. With technology like blockchain, advertisers can assure that their ads are displayed to real people (not bots) and track ad spend with high accuracy. 
Then there's the entire data privacy issue. GDPR and CCPA have given everyone a privacy wake-up call, and the future of AdTech will see a transition toward more ethical data usage. Companies will need to be more upfront about how they acquire and utilise data that they have gathered, which is not just good for compliance but also for business. Trust is the new currency, since people are becoming increasingly aware of how their data will be used and brands that handle data properly will succeed. Moreover, nobody wants to be a company that gets asked questions on the grounds of data breach. 
Thus, here we are concluding that the future of Adtech is bright and awesome with technologies like AI, blockchain and CTV, Programmatic Display. Sure, there will be challenges, but if there is one thing that is consistent about technology is that it improves itself no matter how big the barrier is.
0 notes
baremetalserver · 2 months ago
Text
Adtech companies can future proof their infrastructure [Learn how]
The Adtech industry is relatively new and has evolved with the rise of internet users, social media, streaming platforms, and e-commerce.
So, what’s the actual cost of hyperscale cloud for adtech companies?
When an adtech company is in its infancy, it doesn’t have the people power to manage the infrastructure it relies on. It’s why so many are drawn in by the attraction of the hyperscale clouds. With a substantial amount of free infrastructure credits on offer, why wouldn’t you be?
But those credits will eventually run out, and where does this leave adtech companies?
Adtech’s infrastructure challenges
DSP infrastructure requirements center around hard disk storage for inventory, analytics, and databases. With the number of transactions taking place, storage quickly becomes a key challenge for DSPs from a cost, space, and configuration perspective. 
Thanks to the sheer volume of information being sent from SSP ad servers and platforms, supply-side platforms need infrastructure that provides cost-effective and reliable bandwidth. 
Ping—the time it takes for a request to be sent from an SSP to a DSP and returned with the winning bid—is vital and needs to be below 110 milliseconds. A low latency network is crucial to delivering the industry standard ping times. 
The cloud promise 
The hyperscale cloud providers hold the largest market share of the adtech infrastructure hosting space. And the main reason for that success is the free credits that start-ups and young adtech companies use to build their platforms on infrastructure that can scale quickly for planned and unplanned peaks.
This is what hyperscale cloud providers deliver: adtech companies who are looking for infrastructure that can quickly scale. But it comes with a price!
The cloud reality
Paying-per-use becomes paying through the nose for what you need.When you consider the reality of your application’s availability and growing resource requirements, it is an expensive option. 
Flexibility becomes vendor lock-in. If an adtech company starts hosting its platform on a hyperscale cloud, it is developed and built to work with that hosting provider and its proprietary services. When it gets to the point that costs start to ramp up and the adtech company wants to switch, the money and resources involved in moving to another hosting provider can be very high.
1 note · View note
ryanwilliamsonstuff · 4 days ago
Text
Tumblr media
Explore everything about AdTech software and see how the custom AdTech software development services can help benefit your business, especially, advertisers and publishers.
0 notes
jcmarchi · 3 months ago
Text
Aman Sareen, CEO of Aarki – Interview Series
New Post has been published on https://thedigitalinsider.com/aman-sareen-ceo-of-aarki-interview-series/
Aman Sareen, CEO of Aarki – Interview Series
Aman Sareen is the CEO of Aarki, an AI company that delivers advertising solutions that drive revenue growth for mobile app developers. Aarki allows brands to effectively engage audiences in a privacy-first world by using billions of contextual bidding signals coupled with proprietary machine learning and behavioral models. Working with hundreds of advertisers globally and managing over 5M mobile ad requests per second from over 10B devices, Aarki is privately held and headquartered in San Francisco, CA with offices across the US, EMEA, and APAC.
Could you share a bit about your journey from co-founding ZypMedia to leading Aarki? What key experiences have shaped your approach to AI and AdTech?
My adtech leadership odyssey began with co-founding ZypMedia in 2013, where we engineered a cutting-edge demand-side platform tailored for local advertising. This wasn’t just another DSP; we built it from the ground up to handle high-volume, low-dollar campaigns with unprecedented efficiency. Think of it as the precursor to the hyper-localized, AI-driven targeting we see today.
As CEO, I steered ZypMedia to $20 million in SaaS revenue and processed $200 million in media transactions annually. This experience was a crucible for understanding the sheer scale of data that modern ad platforms must handle — a challenge tailor-made for AI solutions.
My stint at LG Ad Solutions, post-ZypMedia’s acquisition by Sinclair, was a deep dive into the world of device manufacturers and how the control of viewership data can shape the future of Connected TV (CTV) advertising. We used a lot of AI/Machine learning in building the LG Ads business, where the data collected from devices was used to generate targeting segments, inventory blocks, and planning software.
As CEO of Aarki since 2023, I’m at the forefront of the mobile advertising revolution. I can say that my journey has instilled in me a profound appreciation for the transformative power of AI in adtech. The progression from basic programmatic to AI-driven predictive modeling and dynamic creative optimization has been nothing short of remarkable.
I’ve come to see AI not just as a tool but as the backbone of next-generation adtech. It’s the key to solving the industry’s most pressing challenges; from privacy-compliant targeting in a post-device ID world to creating genuine and personalized ad experiences at scale. I firmly believe that AI will not only solve the pain points the advertisers face but also revolutionize how operations are run at platforms like Aarki. The lessons from my journey — the importance of scalability, data-driven decision-making, and continuous innovation — are more relevant than ever in this AI-first era.
Can you elaborate on how Aarki’s multi-level machine-learning infrastructure works? What specific advantages does it offer over traditional adtech solutions?
My experiences have taught me that the future of adtech lies in harmonizing big data, machine learning, and human creativity. At Aarki, we explore how AI can enhance every aspect of the mobile advertising ecosystem; from bid optimization and fraud detection to creative performance prediction and user acquisition strategies.
At this stage, Aarki’s multi-level machine learning infrastructure is designed to address several critical aspects of mobile advertising, from fraud prevention to user value prediction. Here’s how it works and why it’s advantageous:
Fraud Detection and Inventory Quality Control: It’s designed to protect our clients’ performance and budgets. Our multi-layered approach combines proprietary algorithms with third-party data to stay ahead of evolving fraud tactics. We ensure campaign budgets are invested in genuine, high-quality inventory by constantly evaluating user behaviors and maintaining an up-to-date fraud database.
Deep Neural Network (DNN) Models: Our core infrastructure utilizes multi-stage DNN models to predict the value of each impression or user. This granular approach allows each model to learn features most crucial for specific conversion events, enabling more precise targeting and bidding strategies compared to one-size-fits-all models.
Multi-objective Bid Optimizer™ (MOBO): Unlike simple bid shading used by most DSPs, our MOBO considers multiple factors beyond price. It uses dynamic variables such as campaign and inventory attributes, predicted user value, and CPM segmentation to optimize bids. This sophisticated method maximizes ROI while balancing multiple objectives, finding optimal bids that win, meet KPI goals, and pace correctly to utilize campaign budgets fully.
These components offer significant advantages over traditional AdTech solutions:
Superior fraud detection
More accurate predictions and better ROI through multi-stage DNNs
Granular creative hyper-targeting with multi-objective bid pricing
Scalability to handle vast amounts of data
Privacy-first targeting with contextual cohorts
Our AI-driven approach allows for unprecedented accuracy, efficiency, and adaptability in mobile advertising campaigns. By leveraging deep learning and advanced optimization techniques, Aarki delivers superior performance while maintaining a strong focus on privacy and fraud prevention.
How does the Dynamic Multi-object Bid Optimizer function, and what impact does it have on maximizing ROI for your clients?
The Dynamic Multi-object Bid Optimizer is a sophisticated system that goes beyond traditional bid shading algorithms. Unlike simple bid shading algorithms that focus solely on pricing just under the predicted winning bid, our optimizer considers multiple objectives simultaneously. This includes not just price but also campaign performance metrics, inventory quality, and budget utilization.
The optimizer takes into account a range of dynamic variables, including campaign and inventory attributes, predicted user value, and CPM segmentation. These variables guide the optimization process around client-specific KPIs, primarily ROI. This allows us to tailor our bidding strategy to each client’s unique goals.
One of the key strengths of our optimizer is its ability to balance between acquiring high-value users efficiently and exploring new, untapped user segments and inventory. This exploration helps us discover valuable opportunities that more rigid systems might miss.
In practice, this means our clients can expect more efficient use of their ad spend, higher-quality user acquisition, and, ultimately, better ROI on their campaigns. For example, it might make sense to pay 50% more to bid for a user who is 5 times more valuable (ROAS). The optimizer’s ability to balance multiple objectives and adapt in real-time allows us to navigate the complex mobile advertising landscape more effectively than traditional, single-objective bidding systems.
Aarki emphasizes a privacy-first approach in its operations. How does your platform ensure user privacy while still delivering effective ad targeting?
I’m proud to say that privacy-first engagement is one of the core pillars of our platform, along with our AI platform. We’ve embraced the challenges of the no-device-ID world and developed innovative solutions to ensure user privacy while delivering effective ad targeting. Here’s how we accomplish this:
ID-less Targeting: We’ve fully adapted to the post-IDFA landscape and are SKAN 4 compliant. Our platform operates without relying on individual device IDs, prioritizing user privacy from the ground up.
Contextual Signals: We leverage a wide array of contextual data points such as device type, OS, app, genre, time of day, and region. These signals provide valuable targeting information without requiring personal data.
Massive Contextual Data Processing: We process over 5 million ad requests per second from over 10 billion devices globally. Each request has a wealth of contextual signals, providing us with a rich, privacy-compliant dataset.
Advanced Machine Learning: Our 800 billion row training model database correlates these contextual signals with historical outcome data. This allows us to derive insights and patterns without compromising individual user privacy.
Dynamic Behavioral Cohorts: Using machine learning, we create highly detailed, dynamic behavioral cohorts based on aggregated contextual data. These cohorts enable efficient optimizations and scaling without relying on personal identifiers.
ML-driven Creative Targeting™: For each cohort, we use machine learning in collaboration with our creative team to devise optimal creative strategies. This approach ensures relevance and effectiveness without infringing on individual privacy.
Continuous Learning and Adaptation: Our AI models continuously learn and adapt based on campaign performance and evolving contextual data, ensuring our targeting remains effective as privacy regulations and user expectations evolve.
Transparency and Control: We provide clear information about our data practices and offer users control over their ad experiences wherever possible, aligning with privacy best practices.
By leveraging these privacy-first strategies, Aarki delivers effective ad targeting while respecting user privacy. We’ve turned the challenges of the privacy-first era into opportunities for innovation, resulting in a platform that’s both privacy-compliant and highly effective for our clients’ user acquisition and re-engagement campaigns. As the digital advertising landscape evolves, Aarki remains committed to leading the way in privacy-first, AI-driven mobile advertising solutions.
Can you explain the concept of ML-driven Creative Targeting™ and how it integrates with your creative strategy?
ML-driven Creative Targeting™ is our methodology for optimizing ad creatives based on the behavioral cohorts we identify through our machine learning models. This process involves several steps:
Cohort Analysis: Our ML models analyze vast amounts of contextual data to create detailed behavioral cohorts.
Creative Insights: For each cohort, we use machine learning to identify the creative elements that are likely to resonate most effectively. This could include color schemes, ad formats, messaging styles, or visual themes.
Collaboration: Our data science team collaborates with our creative team, sharing these ML-derived insights.
Creative Development: Based on these insights, our creative team develops tailored ad creatives for each cohort. This might involve adjusting imagery, copy, calls-to-action, or overall ad structure.
Dynamic Assembly: We use dynamic creative optimization to assemble ad creatives in real-time, matching the most effective elements to each cohort.
Continuous Optimization: As we gather performance data, our ML models continually refine their understanding of what works for each cohort, creating a feedback loop for ongoing creative improvement.
Scale and Efficiency: This approach allows us to create highly targeted creatives at scale without the need for manual segmentation or guesswork.
The result is a synergy between data science and creativity. Also one of our core pillars, Unified Creative Framework, ensures that our ML models provide data-driven insights into what works for different audience segments. At the same time, our creative team brings these insights to life in compelling ad designs. This approach enables us to deliver more relevant, engaging ads to each cohort, simultaneously improving campaign performance and user experience.
What role does your creative team play in developing ad campaigns, and how do they collaborate with the AI models to optimize ad performance?
Our creative team plays an integrated role in developing effective ad campaigns at Aarki. They work in close collaboration with our AI models to optimize ad performance. The creative team interprets insights from our ML models about what resonates with different behavioral cohorts. They then craft tailored ad creatives, adjusting elements like visuals, messaging, and formats to match these insights.
As campaigns run, the team analyzes performance data alongside the AI, continuously refining their approach. This iterative process allows for rapid optimization of creative elements.
The synergy between human creativity and AI-driven insights enables us to produce highly targeted, engaging ads at scale, driving superior performance for our clients’ campaigns.
How does Aarki’s AI infrastructure detect and prevent ad fraud? Can you provide some examples of the types of fraud your system identifies?
As I mentioned earlier, Aarki employs a multi-layered approach to combat ad fraud. We are approaching fraud deterrence as a pre-bid filter with post-bid analytics of the data that comes through our systems. While I’ve already outlined our general strategy, I can provide some specific examples of the types of fraud our system identifies:
Click flooding: Detecting abnormally high click rates from specific sources.
Install farms: Identifying patterns of multiple installs from the same IP address or device.
Abnormal click-to-install time (CTIT): Spotting abnormal click-to-install times as a signal for bot activity.
Low Retention Rates: Identifying users from publishers that repeatedly exhibit low retention rates after install.
Our AI continuously evolves to recognize new fraud tactics, protecting our clients’ budgets.
How does Aarki’s approach to user acquisition and re-engagement differ from other platforms in the industry?
Aarki’s approach to user acquisition and re-engagement sets us apart in several key ways:
Privacy-First Strategy: We’ve fully embraced ID-less targeting, making us SKAN 4 compliant and future-ready in a privacy-focused landscape.
Advanced AI and Machine Learning: Our multi-level machine learning infrastructure processes vast amounts of contextual data, creating sophisticated behavioral cohorts without relying on personal identifiers.
ML-driven Creative Targeting™: We uniquely combine AI insights with human creativity to develop highly targeted ad creatives for each cohort.
Dynamic Multi-object Bid Optimizer: Our bidding system considers multiple objectives simultaneously, balancing efficiency with exploration to maximize ROI.
Contextual Intelligence: We leverage trillions of contextual signals to inform our targeting, going beyond basic demographic or geographic segmentation.
Continuous Optimization: Our AI models continuously learn and adapt, ensuring our strategies evolve with changing user behaviors and market conditions.
Unified Approach: We offer seamless integration of user acquisition and re-engagement strategies, providing a holistic view of the user journey.
Scalability: Our infrastructure can handle immense data volumes (5M+ ad requests per second from 10B+ devices), enabling highly granular targeting at scale.
Advanced Fraud Deterrence Mechanisms: Our in-house pre-bid fraud filters, post-bid analytics of massive data volumes, combined with 3rd-party data, put us at the forefront of saving our clients’ money from fraudulent traffic.
This combination of privacy-centric methods, advanced AI, creative optimization, fraud deterrence, and scalable infrastructure allows us to deliver more effective, efficient, and adaptable campaigns.
My experiences have taught me that the future of ad tech lies in harmonizing big data, machine learning, and human creativity. I take pride in the fact that, in addition to our technology, we also have an outstanding team of analysts, data scientists, and creative professionals who add human creativity to our tech.
Could you share some success stories where Aarki’s platform significantly improved client ROI and campaign effectiveness?
The AppsFlyer Performance Index recognizes Aarki as a leader in retargeting, ranking us #1 for gaming in North America and #3 globally. We are also rated as a top performer across all Singular advertising ROI indexes. This case study is also a testament to our global leadership. Not just for gaming, but we have recent case studies showcasing our ability to drive results across various app categories.
I’m proud to highlight our partnership with DHgate, a leading e-commerce platform. Our retargeting campaigns for both Android and iOS delivered exceptional results, showcasing Aarki’s ability to drive performance at scale.
Leveraging our deep neural network technology, we precisely assembled user segments to maximize retargeting effectiveness. This resulted in a 33% growth in higher-intent user clicks and a 33% increase in conversions.
Most impressively, while DHgate’s spend with Aarki increased by 52%, we consistently exceeded their 450% D30 ROAS goals by 1.7x, achieving an outstanding 784% ROAS. This case exemplifies our commitment to delivering superior results for our clients. Read more about it here.
For a food and delivery app, we implemented a retargeting campaign to reactivate users and acquire new customers efficiently.
This resulted in a 75% decrease in Cost Per Acquisition (CPA) and 12.3 million user reactivations. The key to success was utilizing our Deep Neural Network models to target the right audiences with tailored messaging, keeping the campaign fresh and engaging. Read it here.
These case studies demonstrate our ability to drive significant improvements in key metrics across different app categories and campaign types. Our privacy-first approach, advanced AI capabilities, and strategic use of contextual data allow us to deliver outstanding results for our clients, whether in user acquisition or re-engagement efforts.
What future advancements in AI and machine learning do you foresee as pivotal for the mobile advertising industry?
Looking ahead, I anticipate several pivotal advancements in AI and machine learning for mobile advertising:
Enhanced privacy-preserving techniques: The massive scale of data we process will lead to unprecedented learning capabilities. Deep neural networks (DNNs) will leverage this to create superior privacy-first engagement strategies. In fact, the concept of “targeting” will evolve so dramatically that we’ll need new terminology to describe these AI-driven, predictive approaches.
Generative AI for real-time creative optimization: We’ll see AI that can not only optimize but also create and dynamically modify ad creatives in real-time. This will revolutionize how we approach ad design and personalization.
Holistic Predictive Models: By combining our deep neural networks for product insights with our Multi-Objective Bid OptimizerTM (MOBO) for pricing, we’ll develop highly effective and efficient models for both user acquisition and retargeting. These will provide incredibly accurate predictions of long-term user value, allowing for smarter, more strategic campaign management.
These advancements will likely lead to more effective, efficient, and user-friendly mobile advertising experiences.
Thank you for the great interview, readers who wish to learn more should visit Aarki.
0 notes
techhunter11 · 5 months ago
Text
Learn more about #adtech benefits to the #advertising industry and how it is revolutionizing the #adtech world -https://www.rishabhsoft.com/industry/adtech-software-development
0 notes
roamnook · 8 months ago
Text
"Breaking: 78% of Marketers Report Increase in Mobile Site Navigation Efficiency - Exclusive Data Revealed"
RoamNook Blog
The Power of Data: Unveiling the Secrets of Digital Growth
Welcome to the RoamNook blog, where solid facts, compelling numbers, and concrete data take center stage. In this technology-driven era, information is key for businesses seeking sustainable growth and success. Hence, we bring you an informative journey filled with hard-hitting facts that shed light on the real-world applications of data-driven strategies. Brace yourself for an intellectual adventure as we explore the depths of digital marketing, IT consultation, custom software development, and so much more.
The Rise of Digital Marketing
Over the past decade, digital marketing has witnessed an exponential rise in popularity. The advent of smartphones, social media platforms, and advanced analytics has revolutionized the way businesses connect with their target audience. According to recent statistics, the global digital advertising expenditure is projected to reach a staggering $605 billion by 2024. The power of data-driven marketing strategies cannot be understated in this era of fierce competition.
Data-Driven Strategies: Fueling Digital Growth
Data-driven strategies empower businesses to make informed decisions, optimize campaigns, and maximize ROI. In fact, companies that effectively utilize data-driven strategies are 23 times more likely to acquire customers. The world of digital marketing is heavily reliant on data analytics, machine learning, and artificial intelligence to drive success. By analyzing consumer behavior, demographics, and preferences, businesses can craft personalized experiences that resonate with their target audience.
The Role of IT Consultation
Achieving digital growth requires a solid technology foundation. This is where IT consultation plays a crucial role. With rapid advancements in technology, businesses must stay up to date with the latest software and hardware solutions. IT consultants provide expert advice on infrastructure development, data security, and system integration. Their technical prowess ensures businesses have a strong digital backbone to support their growth.
Custom Software Development: Tailored Solutions for Enhanced Efficiency
Off-the-shelf software solutions may meet some needs, but true digital growth requires custom software development. By creating tailored solutions, businesses can streamline operations, enhance efficiency, and gain a competitive edge. Whether it's a mobile app, an e-commerce platform, or an enterprise resource planning system, custom software development empowers businesses to meet their unique requirements and deliver exceptional user experiences.
Digital Marketing: A Multifaceted Approach
Digital marketing encompasses various subdomains, each with its own set of strategies and best practices. Let's delve into some key areas:
Adtech: The intersection of advertising and technology, where programmatic advertising and real-time bidding take center stage.
Digital Marketing: A comprehensive term covering social media marketing, content marketing, email marketing, and search engine optimization.
Display & Programmatic Advertising: Utilizing AI-driven algorithms to reach the right audience at the right time.
Mobile Advertising: Capitalizing on the widespread use of smartphones to deliver targeted ads.
Mobile Marketing: Creating mobile-friendly experiences and engaging users on their preferred devices.
Native/Content Advertising: Blending ads seamlessly with organic content to enhance engagement.
PPC: Pay-per-click advertising, where businesses pay only for relevant clicks.
PR: Building brand reputation and managing public relations in the digital realm.
Performance Marketing: Focusing on measurable results, such as cost per acquisition and return on ad spend.
Search & Social Advertising: Harnessing the power of search engines and social media platforms to reach targeted audiences effectively.
Video Advertising: Utilizing captivating videos to convey brand messages and increase engagement.
Commerce & Sales: Bridging the Gap
Marketing efforts would be incomplete without effective commerce and sales strategies. Let's explore some key areas:
Affiliate Marketing & Management: Building strong partnerships and incentivizing affiliates to drive sales.
Channel, Partner & Local Marketing: Leveraging local partners and channels to expand market reach.
Conversational Intelligence: Integrating AI-driven chatbots and virtual assistants to enhance customer interactions.
Demand Generation: Nurturing leads and converting them into paying customers.
Ecommerce: Building robust online stores and providing seamless shopping experiences.
Retail, Proximity & IoT Marketing: Leveraging location-based technologies and IoT devices to deliver personalized marketing experiences.
Sales Automation, Enablement & Intelligence: Enhancing sales efficiency through automation and providing sales teams with the right tools and insights.
Content & Experience: Crafting Compelling Interactions
Content is the backbone of any digital strategy. Let's dive into the world of content and experience:
Chatbots & Conversational AI: Enabling real-time interactions and personalized conversations with customers.
CMS & Web Experience Management: Empowering businesses to create and manage engaging web experiences.
Content Marketing: Creating valuable and relevant content to attract and retain customers.
Customer Engagement: Fostering meaningful and long-lasting relationships with customers.
Mobile Apps: Developing user-friendly mobile apps to enhance customer experiences.
Digital Asset Management: Organizing and optimizing digital assets to streamline content creation and distribution.
Email Marketing: Leveraging personalized emails to nurture leads and drive conversions.
Interactive Content: Captivating users with interactive elements, such as quizzes, videos, and infographics.
Marketing Automation: Automating repetitive marketing tasks and delivering personalized experiences at scale.
Marketing Technology: Harnessing technology to enhance marketing efforts and drive business growth.
Optimization, Personalization & Testing: Continuously refining marketing strategies based on data and user feedback.
SEO: Optimizing websites and content to rank higher in search engine results.
Video Marketing: Telling compelling brand stories through engaging and shareable videos.
Data Management: Turning Numbers into Insights
In the era of big data, effective data management is essential for businesses to extract valuable insights. Let's explore the world of data management:
Audience/Marketing Data & Data Enhancement: Unlocking the power of customer data and enriching it to drive targeted marketing campaigns.
Business/Customer Intelligence & Data Science: Leveraging data science and predictive analytics to gain actionable insights.
Customer Data Platform: Centralizing customer data to create a unified view and deliver personalized experiences.
Data Analytics: Analyzing vast amounts of data to identify trends, patterns, and actionable insights.
DMP: Managing and leveraging data to optimize advertising and audience targeting.
iPaaS, Cloud/Data Integration & Tag Management: Streamlining data integration and ensuring accurate tracking for effective decision-making.
Market Intelligence: Gathering and analyzing market data to gain a competitive edge.
Marketing Analytics, Performance & Attribution: Measuring marketing effectiveness and attributing conversions to specific campaigns.
Predictive Analytics: Using historical data and statistical algorithms to predict future outcomes.
Social & Relationships: Building Strong Connections
Social media and customer relationships are intertwined in today's digital landscape. Let's explore the domains of social and relationships:
ABM: Account-Based Marketing, where highly targeted campaigns are designed to engage key accounts.
Advocacy, Loyalty & Referrals: Harnessing the power of satisfied customers to amplify brand reach.
CRM: Managing customer relationships and interactions to deliver personalized experiences.
Customer Experience, Service & Success: Focusing on enhancing customer experiences and ensuring long-term success.
Events, Meetings & Webinars: Leveraging virtual and physical events to engage with customers and prospects.
Influencers: Partnering with influential individuals to reach new audiences and build brand credibility.
Social Media Marketing & Monitoring: Leveraging social media platforms for targeted marketing campaigns and monitoring brand sentiment.
RoamNook: Fueling Digital Growth with Innovative Technology
At RoamNook, we understand the power of data-driven strategies and innovative technology in fueling digital growth. Our specialized services in IT consultation, custom software development, and digital marketing are designed to empower businesses to reach new heights of success. With our expertise and cutting-edge solutions, we help businesses harness the transformative power of data to drive growth, enhance customer experiences, and gain a competitive edge.
So, why choose RoamNook? We are a dynamic and innovative technology company that leaves no stone unturned in providing tailored solutions for your business needs. Our team of experts is well-versed in the latest technologies and industry best practices, ensuring that you receive top-notch consultation and development services. Whether you need to revamp your digital marketing strategies, optimize your IT infrastructure, or develop custom software solutions, RoamNook is your go-to partner.
In conclusion, data is the driving force behind digital growth. Harnessing the power of data-driven strategies, businesses can optimize their marketing efforts, streamline operations, and deliver exceptional customer experiences. With RoamNook by your side, you can unlock the full potential of data and technology, propelling your business towards unparalleled success. Reach out to us today to embark on a transformative journey that will position your business at the forefront of the digital revolution.
Disclaimer: This blog is intended for informational purposes only. The views and opinions expressed in this article are those of the authors and do not necessarily reflect the official policy or position of RoamNook.
Source: https://www.martechcube.com/applause-released-results-of-second-generative-ai-gen-ai-survey/&sa=U&ved=2ahUKEwilpt6Wp56FAxXnMlkFHTJAA98QxfQBegQIABAC&usg=AOvVaw32gI07yHqYpITnMePNqMmg
0 notes
prwizard · 9 months ago
Text
Trackier Wins Best AdTech Startup at IDEA Awards 2024 Powered By Entrepreneur India
Tumblr media
Trackier, the developer of subscription-based affiliate management and tracking software, bagged the Best AdTech Startup title at IDEA Awards 2024, hosted by Entrepreneur India in Bengaluru. Held on March 9 at Sheraton Grand, Bengaluru, the event was graced by over 500+ professionals from diverse industries including eCommerce, AdTech, Mobile Tech, and FinTech.
Filtered among over 100 nominations, Trackier was selected as the most innovative and game changing startup in the AdTech categories by the jury presided by some of the pioneers in entrepreneurship, namely Rupessh Goel, MD, Head of Credit Administration, India, Silicon Valley Bank, Manoj Agarwal, Managing Partner, Seafund, Ruchi Deepak, Co-founder, Acko and Founder & CEO, Airlooms, and Ritu Marya, Editor-in-Chief, Entrepreneur India & APAC.
The jury highlighted not only Trackier’s firm grip on the Indian AdTech turf but also its global ambitions, recognizing its potential to disrupt the AdTech landscape on a larger scale with its cost-effective SaaS-based platform and unmatched customer support in the industry. With a repeat order rate of over 70%, Trackier is a household name for over 1,500+ brands and agencies all over the world.
Tumblr media
The award was received on stage by Trackier Co-Founders Udit Verma and Hemant Mann. Talking about the latest feather in their cap, Udit Verma said, “This win couldn't have been possible without the commendable work done by our team since the time we were incorporated. Also, a special mention to my friend and the visionary leader of Trackier, Faizan Ayubi, whose leadership and his never-say-die attitude that led us on to this stage. This award isn’t a destination, but a springboard for even greater achievements. We're excited to see what the future holds for Trackier!”
Trackier offers a full-suite of affiliate management tools catering to the performance marketing, mobile marketing, and iGaming industries. Starting off with performance marketing software, the company expanded into the MMP and iGaming domain, witnessing a growing demand for homegrown software in India. With its latest launch last year, the Delhi-based firm further solidified its place as a major player in the Indian marketing tech space, establishing itself as a one-stop shop for performance-driven marketing needs.
Commenting on the future plans of Trackier, Hemant Mann, CTO & Co-Founder of the company, said, “2024 is going to be an exciting year for Trackier in terms of product development. With AI innovations coming up at rapid pace in the marketing industry, Trackier aims to leverage the technology at best to integrate cutting-edge AI functionalities into our platform, optimizing affiliate marketing for our clients. Also, everyday we’re adding new integration partners to pull marketers out of data silos and give them a whole picture of their marketing efforts with a unified marketing stack.”
Trackier was founded in 2016 by three Delhi Technical University graduates Faizan Ayubi, Udit Verma, and Hemant Mann. The company is currently one of the few bootstrapped profitable AdTech startups in India, walking side by side with many international contemporaries.
About Trackier
Trackier is a SaaS-based startup, headquartered in Delhi, India with over 75 team members. The company offers subscription-based attribution tracking and partner management platform to brands, ad networks, agencies, and affiliate networks. It primarily caters to the performance marketing, mobile marketing and iGaming industry. Aside from India, Trackier has offices in the US, Singapore, and Dubai.
0 notes
fortunes-crown · 9 months ago
Text
10 - AdTech Companies in USA With Unique Solutions
Over the past ten years, the US ad tech market has experienced phenomenal development. The market size of the American tech sector is predicted to reach over $22 billion by 2023. Adtech companies are rising to the top. This statistic is influenced by many variables, including the rising popularity of programmatic advertising, the expanding usage of digital marketing channels, and the spread of emerging technologies like artificial intelligence (AI) and machine learning (ML). The top ad tech companies are in constant R&D to further improve themselves and the field.
Adtech, or advertising technology, is a collection of software programs and tools that publishers and advertisers use to optimize their ad campaigns, increase income from ad inventory, and improve ad targeting.
Ad agencies in turn provide Ad tech solutions for addressable TV, programmatic advertising, audience and ad targeting, ad measurement, and more. These public Ad tech companies provide calculated solutions.
Explore Full Blog Click Now
0 notes
websenor · 2 years ago
Text
ai ml development services company
Our AI and ML team comprises skilled experts with experience building world-class AI solutions for startups, agencies, and enterprises across various industry verticals such as healthcare, Adtech, eCommerce, and more. With a focus on quality, innovation, and customer satisfaction. Being one of the top AI software development companies, we help companies create solutions using machine learning algorithms that assist them in making critical business decisions.
AI simulates human intelligence, while ML allows machines to learn from data and improve over time. It's being used in image recognition, fraud detection, and more. However, ethical concerns exist around bias and privacy. The potential benefits of ML are immense and continue to evolve.
Tumblr media
1 note · View note
magicmindsblog · 7 months ago
Text
The emergence of online advertising platforms and the exaggeration of complications in the digital marketing tactics, organizations and companies are turning their level best for gaining the competitiveness to AdTech software development services. Now let us explore like what are the ways in which AdTech app development and AdTech software solutions can bring some transformative phases to your business. 
0 notes
cybage · 2 years ago
Text
What is adtech and why is it important?
The phrase "advertising technology," or "adtech," refers to a broad category of hardware and software used by marketers to deliver and track their digital advertising campaigns and target audiences. Adtech emerged to simplify the process as buying and selling digital ads got increasingly difficult. Demand-side platforms are popular adtech products that let advertisers buy impressions and choose audiences across a variety of publisher websites. Adtech now makes it possible for marketers and agencies to efficiently manage linked campaigns.
TARGET THE RIGHT AUDIENCE WITH CYBAGE, YOUR TRUSTED ADTECH PROVIDER
The advertising business is always changing. More efficient ways of classifying and serving clients are being discovered, and new technologies and systems are being developed. All of this promotes compliance with privacy laws while enabling improved media and return on ad spend (ROAS) measurement.
By automating media transactions in real-time, adtech has transformed the dynamics of media trading and allowed marketers to deliver personalized messaging to an appropriate audience. The dynamic and logistically challenging digital advertising sector has seen the potential of programmatic solutions. Organizations are allocating more of their digital advertising budget to AdTech solutions due to programmatic advertising's widespread acceptance across channels.
Tumblr media
0 notes
Text
The Significance Of Marketing Tech
Tumblr media
What is advertising and marketing modern technology as well as Martech? Advertising modern technology, additionally known as MarTech, illustrates a variety of software program and also resources that assist in achieving advertising goals or purposes. When a marketing group utilizes a group of advertising and marketing modern technologies, this is actually referred to as their advertising and marketing modern technology pile. MarTech has actually ended up being a staple in electronic advertising projects, but can easily additionally be actually made use of to enhance advertising efforts throughout any advertising and marketing channel.
The technology comparison between MarTech and also AdTech is actually right here. MarTech might occasionally be puzzled along with Adtech. The distinction between these plans resembles the distinction between advertising and marketing. While martech pertains to technology that assists to make, connect, and also provide offerings, adtech is purely utilized to affect buyer behavior by marketing offerings.
The Significance of technology comparison
In 2012, Gartner anticipated that through 2017 CMOs would certainly devote extra on technology than CIOs. While this claim was actually initially really dissentious, the void in investing in between these gatherings has actually narrowed substantially throughout the years. This is since technology is participating in a significantly vital task in marketing, specifically supporting with initiatives such as acknowledgment and alloting advertising and marketing invest.
With the martech yard consistently advancing, marketing professionals may be swamped whereby alternative to decide on. For that reason, marketers need to make certain that they are actually acquiring advertising modern technology remedies that will facilitate higher development in their institution. Read the full article technology comparison listed here.
Basics of Advertising Technology
The technology comparison reveals which modern technology is actually better for marketers to commit. For instance, does your association market items to other businesses (B2B) or even to individuals (B2C)? Although your company's market has a sizable effect on which martech are going to be very most effective, all marketing experts ought to think about applying the complying with technologiess:
Marketing Attribution Software Program
As John Wanamaker (1838-1922), a widely known US seller claimed, "One-half the money I invest in advertising is lost; the issue is I do not recognize which one-half." Over a century later on, this issue has actually certainly not been fixed for many business. Outdated acknowledgment models or even falling short to account for both internet as well as offline results are leading to business to lose out on opportunities. Partnering along with the appropriate business marketing attribution software can assist resolve this concern.
Email Advertising and marketing
In his publication, Perennial Homeowner, Ryan Vacation reviews the significance of email as well as cultivating those connections directly along with consumers. Due to the fact that emails are not reliant to formula adjustments or what's trending, it is just one of the most effective platforms to reach out to a target audience. Consider this: In a current poll, greater than 50 percent people respondents accept to checking their e-mail much more than 10 opportunities per day. Email is actually a reliable way for labels to connect with to clients.
Information Monitoring Unit
This technology is able to electrical power both your web site and also blog. With 88 percent of consumers researching products online just before purchasing, acquiring a top quality web site is a requirement. Your site is the heart to the remainder of your digital technique, due to the fact that advertising and marketing customers will certainly drive consumers there.
Client Experience Software Program
This component of the advertising and marketing technology stack should concentrate on creating the consumer's interaction along with your label much better, whether that be actually through checking out which messaging is the most efficient or tailoring their knowledge. This features software program associated with A/B screening.
Consumer Relationship Management Software
This is actually extra usual for B2B business that concentrate on list building, but these systems can help your provider manage leads. CRMs can easily establish where leads remain in the channel, and also evaluate option levels.
What is Advertising And Marketing Modern Technology and also Martech? Marketing modern technology, additionally understood as MarTech, explains a variety of software program as well as resources that assist in obtaining marketing goals or even purposes. When a marketing staff uses a collection of advertising and marketing technologiess, this is known as their advertising technology stack. MarTech has come to be a staple in digital advertising and marketing projects, yet can easily likewise be actually utilized to optimize advertising and marketing initiatives around any type of advertising and marketing network.
For that explanation, marketing professionals must be sure that they are committing in marketing modern technology solutions that will assist in more significant development in their company.
1 note · View note
techhunter11 · 4 months ago
Text
Importance of AdTech Industry Software
Explore the benefits of AdTech software development with the help of below curated links and see how it can help improve the advertising process and thereby improve ROI
0 notes
mexcexchangenews · 2 years ago
Text
How to buy Verasity (VRA)?
Verasity, or VRA, is a blockchain-based platform that gives a future experience of esport, adtech, and digital content economy. It enables advertisers and publishers to battle video ad fraud with proprietary technology that provides unrivaled transparency and security, as well as prevent NFT fraud proactively with an Intelligent Authentication module. This post will cover all you need to know about Verasity, as well as how to purchase VRA tokens.
Tumblr media
Verasity's breakthrough Proof-of-View (PoV) technology replaces the Proof-of-Work and Proof-of-Stake mechanisms used by Bitcoin and Ethereum. It gives businesses the ability to reduce ad fraud across all video advertising channels. Verasity is already a revenue-generating project, with a growing ad revenue stream and many product verticals actively used by commercial clients.
Verasity's Main Product
Verasity offers several significant product verticals, which are detailed below:
VeraEsports. A leading provider of Esports content, showcasing and packaging VeraViews and PoV technology for global broadcasters.
VeraVerse. It is a new NFT Marketplace for art, game products, and metaverse collectibles.
VeraPlayer. An exclusive video player that maximizes advertising revenue by combining adverts from our ad partners and the VeraViews ad stack. VeraPlayer, which is now utilized by VeraEsports, is available through the Brightcove Marketplace.
Proof of View and VeraViews A unique antifraud technology and enterprise-grade ad tech stack are utilized to combat ad fraud across video content. PoV applies to NFTs and detects and eliminates ad fraud by transmitting only authentic, non-modifiable views to the blockchain.
VaraWallet. A wallet for storing $VRA, Verasity's utility and ecosystem token. VeraWallet is a payment system that accepts cryptocurrencies as well as other forms of payment and keeps rewarded tokens. VeraWallet, which has over 130,000 members, offers VRA holders an annual staking chance of 18.25%.
Earn by watching and earning. It is a program that gives viewers tokens in exchange for watching videos. Watch & Earn rewards viewers with VRA tokens via an SDK integration into the publisher's video player. 90% of all video players, including YouTube, Twitch, and Vimeo, can be integrated when utilized on a publisher's website.
Veracity Use Cases
Ad Tech Stack VeraViews
Verasity developed this anti-fraud software. VeraViews use both off-chain and on-chain components to eliminate ad fraud at its source and ensure that video advertisements are displayed to genuine users. By blocking bots from viewing ads and logging ad serve data on Verasity's purpose-built blockchain, VeraViews ensures that publishers using the service can provide advertisers with a record of true ad serve data (VeraChain). This results in faster payments for publishers and improved ROI for advertisers. VeraViews is a cutting-edge new approach of displaying advertisements across video and VoD content.
VeraEsports.com
It is an esports platform and video publisher that combines all of Verasity's market-leading ad tech solutions into a single esports platform that Verasity owns and controls, and is one of the most important use cases of Verasity. The primary purpose of VeraEsports is to secure the rights to broadcast unique Esports contests. Verasity's usage of these events' pre-existing fan bases results in more people accessing its website and using VeraEsports, which helps Verasity's Proof of View technology endure user stress tests.
VeraEsports enables Verasity to make Esports material available to content broadcasters worldwide through Verasity's partners such as Brightcove. VeraEsports' exclusive esports content is then coupled with VeraViews and PoV, and broadcasters can gain access to Verasity's superior ad tech stack by streaming VeraEsports content.
Verasity.tv
It is a publisher aggregator and ecosystem that provides software development kits, or SDKs, for the following video players that publishers can use: YouTube, Twitch, Vimeo, and others. This is now available to over 2 million video makers who rely on limited advertising revenues.
Because to Verasity's focus on integrating components of the VeraViews ad tech stack natively into the Brightcove player, over 3,000 publishers will be able to activate VeraViews and protect their advertising from fraud with the click of a button in 2022.
How can I obtain VRA tokens? You can purchase VRA on MEXC by following these steps:
1.Log in to your MEXC account and then select [Trade]. Select [Spot].
2.To see the available trading pairs, type "VRA" into the search field. As an example, consider VRA/USDT.
3.Scroll all the way down to the [Spot] box. Enter the amount of VRA you wish to purchase. You can place a Limit order, a Market order, or a Stop-limit order. Consider the Market order. To finalize your order, click [Buy VRA]. The purchased VRA will be stored in your Spot Wallet.
0 notes
dreamsoft4u · 2 years ago
Text
Core PHP Development Services Company
Dreamsoft4u is a leading PHP development services company that stands on building robust, secure & most scalable web applications for start-ups, enterprises, and entrepreneurs. The company has more than 15+ years of experience and has delivered custom PHP web development solutions to 250+ global clients. We cater to industry verticals, including healthcare, adtech, eLearning, data analysis, Fintech, eCommerce, etc. Are you planning to outsource PHP development services Or want to hire an offshore PHP development team?
PHP Web Development Solutions
We have delivered around 300+ simple to complex projects globally for leading brands and large enterprises. Thanks to our expert panel for showcasing technical expertise and leveraging the advanced PHP frameworks. Here are some of the PHP development services we offer.
Custom Application Development
We build custom PHP applications delivering our core PHP and open-source technical skills to offer static, dynamic, and integrated PHP solutions.
Enterprise PHP Development
Being a top-notch PHP website development company, we build bespoke and unique PHP enterprise web apps using a software tester’s intelligence.
Custom eCommerce Development
We develop apps for all business types, from customized eCommerce web apps platforms to CMS-based websites and online services selling portals.
Web API Integrations
We have in-depth expertise in deploying and integrating internal, private, and public APIs to offer sustainable experiences over various platforms.
PHP Migration & Modernization
We help businesses jump and upgrade their existing web apps to PHP applications. We build these apps with the latest best PHP frameworks.
PHP Web Application Development Expertise
We are one of the top-notch PHP web application development companies.” we build all kinds of PHP and MySQL web & mobile apps. Be it a simple static website or a complex enterprise portal; our PHP development services team can help.
Accounting Web Apps
Online Marketing & Portals
Custom Business Apps
E-Commerce Websites
CRM Systems
Article source: https://www.dreamsoft4u.com/php-development-services
0 notes
divyabhashkar · 3 years ago
Text
PlayStation Games will soon receive in-game ads: report
PlayStation Games will soon receive in-game ads: report
Sony Allegedly plans to present In-game ads In free-to-play PlayStation games. The new approach to monetization aims to encourage developers to generate more revenue and create free-to-play titles. Business Insider reports that sources have told them that Sony has begun testing with Adtech partners to help game developers implement in-game ads through a software developer program. Undoubtedly,…
Tumblr media
View On WordPress
0 notes