#ctv advertising platforms

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ADCTV – Best CTV Advertising Platforms

ADCTV is one of the best CTV advertising platforms builder out there. Not only does it offer a wide range of ad types and formasts, but it also has a fantastic user interface that makes it easy to navigate and create campaigns. Plus, its reporting tools are top-notch, so you can always track your campaign's performance. For more information, please click on - https://adctv.com/

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Is your CTV Ads Budget ROI Optimized with Ad Fraud Detection?

Approximately, $1.14 billion in global CTV open programmatic ad spend was lost to invalid traffic in Q2 2024. This highlights the gravity of ad fraud in the CTV ecosystem. CTV ad fraud causes inflation in ad campaign metrics of CTV ads due to invalid traffic, bot-driven engagement, and app spoofing. Some of the most common CTV ad fraud include:  

Invalid or Bot Traffic: That does not come from a genuine user, including traffic generated by data centers (DCH), automated clicks, and other non-human sources. Bots generate fake ad views or clicks, making it appear as though there is legitimate engagement from real users. 

Device Spoofing via: Creating fake CTV devices or apps to mimic real ones. It often tricks advertisers into buying ads on non-existent or fraudulent platforms. 

VPN/DCH: Traffic coming from Virtual Private Networks (VPNs) or data centers, is often used to hide the true location of the user and generate fake engagement from non-targeted regions. 

CTV ad fraud also includes device spoofing, running ads through secondary devices while the TV is off, and invalid server-side ad insertion (SSAI). 

To read more visit: Is your CTV Ads Budget ROI Optimized with Ad Fraud Detection?

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TVBoss Fire Reloaded: Easy TV Channels for Amazon & Roku

What is TVBoss Fire Reloaded?

TVBoss Fire Reloaded is a tool for creating online TV channels. It works with platforms like Roku and Amazon Fire TV, which have millions of users worldwide. You can start your TV channel without needing special skills. The Software simplifies the process for beginners and experts alike.

How TVBoss Fire Opens the Floodgates

With the combination of an easy-to-use platform and top-tier training, TVBoss Fire helps users achieve:

Leads and Sales: Attract viewers and turn them into customers.

Brand Awareness: Build recognition by consistently appearing on viewers' screens.

Advertising Revenue: Monetize through high-paying ad placements.

Discoverability: Stand out in a fast-growing streaming market.

Authority and Trust: Gain credibility by hosting professional-grade TV channels.

Why is TVBoss Fire Unique?

TVBoss Fire Reloaded removes technical challenges. You don't need to be a coder or a video producer. The platform provides access to a library with millions of movies, songs, and podcasts. You can use this content legally to create engaging channels.

What is Connected TV?

Connected TV (CTV) refers to TVs linked to the internet. This lets users stream content directly. It's different from traditional cable TV. Platforms like Roku and Amazon Fire dominate this space. They offer viewers endless streaming options. Businesses now see CTV as a golden opportunity.

Get Instant Access

Key Features of TVBoss Fire

Simple Channel Creation: Build TV channels in minutes.

No Content Creation Needed: Use the platform's vast library of ready-made content.

Multiple Revenue Streams: Earn from ads, subscriptions, and product sales.

Cloud-Based Access: No downloads or installations are required.

Training and Support: Learn through step-by-step tutorials and 24/7 customer support.

Benefits of Using TVBoss Fire Reloaded

Low Barrier to Entry

TVBoss Fire makes it possible for anyone to start a TV channel. The tools are intuitive, and no technical expertise is required. With proper guidance, even beginners can succeed.

Cost-Effective Solution

Traditional TV production requires expensive cameras, studios, and talent. TVBoss Fire eliminates these costs by letting you use pre-existing content.

Reach a Global Audience

With TVBoss Fire, you can publish channels on platforms with millions of active users. This is ideal for businesses looking to expand their reach or creators wanting to grow their influence.

Consistent Revenue Streams

The platform helps you earn passively through ad revenue, recurring subscriptions, and partnerships with advertisers. Some users report earning $10,000 to $30,000 per month.

Enter Any Niche

Whether you're interested in fitness, gaming, education, or entertainment, TVBoss Fire lets you tailor channels to your interests. You can focus on niches with high demand and low competition.

Dedicated Support and Training

The platform offers step-by-step tutorials, live webinars, and 24/7 customer support, ensuring you're always on track.

How Does TVBoss Fire Work?

Creating a channel with TVBoss Fire is simple:

Open the platform.

Choose your content.

Publish your channel to Roku or Amazon Fire.

What Can You Earn?

Many users earn by hosting channels or running ads. Some users report generating thousands of dollars in monthly revenue. The potential depends on your effort and creativity.

Benefits of Using TVBoss Fire Reloaded

Reach a Global Audience

Roku and Amazon Fire have users worldwide. With TVBoss Fire, your content can reach millions, opening opportunities to grow your brand or sell products.

Generate Passive Income

TVBoss Fire helps you earn money effortlessly. Ads displayed on your channels can provide regular income. You can also sell subscriptions for premium content.

Save Time and Resources

Traditional TV production is costly. TVBoss Fire removes this burden. You don't need cameras, studios, or actors. Just select from their library and customize.

Easy-to-Use Interface

Even non-tech-savvy users can navigate the platform. The tools are intuitive and straightforward.

Support for All Niches

TVBoss Fireworks is for all content types—fitness, education, entertainment, or business. You can enter any niche and attract your target audience.

Real-Life Success Stories

Users of TVBoss Fire have shared impressive results.

One user launched a fitness channel and earned $10,000 monthly.

A digital marketer sold advertising slots and gained high profits.

A teacher-created educational content and reached over 100,000 viewers.

Is It Worth the Investment?

TVBoss Fire offers a 30-day money-back guarantee. This ensures users can try the platform risk-free.

Step-by-Step Guide to Getting Started

Step 1: Register Your Account

Visit the TVBoss Fire website. Create an account and choose your subscription plan.

Step 2: Set Up Your Channel

Log in and access the dashboard. Follow the guided setup to build your channel. Fill in details like channel name and description.

Step 3: Select Your Content

Browse the content library. Choose movies, podcasts, or music that fit your niche. Add these to your channel with a few clicks.

Step 4: Publish to Platforms

Submit your channel to Roku or Amazon Fire TV. TVBoss Fire ensures compliance with platform guidelines.

Step 5: Monetize Your Channel

Choose your revenue strategy. This could be ad placements, sponsorships, or subscriptions.

Opportunities with TVBoss Fire

TVBoss Fire gives users the ability to access and leverage a range of benefits, including:

Lead Generation

TV channels on platforms like Roku and Amazon Fire attract viewers naturally.

Channels act as lead magnets, driving traffic to your products or services.

Increased Sales

You can promote and sell products effortlessly by integrating your channel with your website or store.

Advertising partnerships can bring in steady revenue streams.

Brand Awareness and Authority

Having a TV channel establishes credibility and positions you as an authority in your niche.

Reach new audiences who prefer TV over other media formats.

Traffic and Engagement

Platforms like Roku and Amazon Fire TV have a combined audience of over 500 million viewers worldwide, giving you unparalleled exposure.

High-quality content engages viewers, leading to better ad performance and subscriber retention.

Advertising Revenue

TVBoss Fire allows you to place ads on your channels, generating income without creating your own products.

Connected TV ads boast a 98% completion rate, far better than other platforms like YouTube.

Discoverability

TV channels can improve your visibility, especially in niches with limited competition.

Channels on connected TV platforms often gain organic traction without expensive promotions.

Income Streams

Generate revenue through ads, subscriptions, sponsorships, and even selling channels.

Many users earn $10,000+ per channel per month through multiple income streams.

Features That Set TVBoss Fire Apart

Fast Channel Creation

Users can create fully functional TV channels in minutes, even without technical expertise.

The platform is designed with a user-friendly interface, which is ideal for beginners.

HTML and WordPress Integration

Users can embed their TV channels into any HTML website with a simple cut-and-paste feature.

The new WordPress plugin allows seamless integration of TV channels into blogs or blog posts. This is perfect for users who want to boost channel engagement by leveraging their existing website traffic.

Cloud-Based SaaS Platform

TVBoss Fire is entirely cloud-based. This means no Software downloads or installations are necessary.

You can access your channels anytime, anywhere, using an internet browser.

Why TVBoss Fire Users Succeed

TVBoss Fire doesn't just provide tools; it equips users with comprehensive education and training to ensure success.

The platform offers:

Step-by-step tutorials: These guide you through creating, managing, and monetizing channels.

Live webinars: Get insights and strategies from industry experts.

24/7 customer support: Always have help at hand for troubleshooting or advice.

TVBoss Fire's Hidden Advantage: Future-Proof Your Business

The world of content consumption is rapidly shifting. Traditional TV is fading, and streaming dominates. TVBoss Fire Reloaded positions you at the forefront of this transformation. Here's why it's a game-changer:

Low Competition, High Demand: Streaming platforms are expanding, but there's still room for new channels. You're entering a growing market with massive potential.

Ad Engagement: Connected TV ads boast a 98% completion rate, which is higher than traditional online ads, making them the goldmine for advertisers.

Scalability: Start small with one channel and expand to multiple channels as your audience grows. The Software supports unlimited scaling.

Multi-Language Support: Cater to global audiences. The platform allows you to create content in various languages, widening your reach.

Tip for New Users

Focus on a niche. Niches like fitness, cooking, or self-help perform exceptionally well. Choose a topic you're passionate about and provide consistent, quality content.

TVBoss Fire Reloaded: Exclusive Bonuses

Bonus #1: Commercial Rights to Sell Channels 

Set up and sell TV channels for 100% profit.

The demand for streaming channel creation is booming, with companies willing to pay substantial amounts for this service.

Here's what makes this bonus exceptional:

Earn between $6,000 and $30,000 by selling just one channel.

Industry rates for channel setups start at $10,000.

Add $500 for every video upload, increasing your profit potential to $15,000.

Success Stories:

One user sold a single channel for $30,000.

Another sold multiple channels at $11,000 each.

This bonus is only valid for the first two months of the TVBoss Fire program, so act fast to seize this opportunity.

Bonus #2: TVBoss Fire Bootcamp 

Take your channel-building skills to the next level. This training goes beyond the basics to help you maximize profits.

Key Highlights:

Learn strategies from industry experts.

Explore advanced techniques for optimizing channel success.

What Participants Say:

"I got all my questions answered! Most productive webinar in a long time." – Jason Hodge

"The webinar is of amazing quality. Thanks for all the effort." – Stephen Tovey

"A great and informative webinar. Learned a lot more here." – Beverly Frazier.

Bonus #3: Auto-Generated "About Your TV Channel" Page 

Roku requires an "about" page for every channel. TVBoss Fire eliminates the hassle of creating and hosting this page for you.

What You Get:

A professional design that complies with Roku's terms.

A ready-to-use URL to copy and paste into your Roku account.

Bonus #4: Ongoing Bootcamp Sessions 

Stay ahead with continuous learning. These ongoing sessions ensure you remain updated on new strategies, tools, and trends in the connected TV space.

Bonus #5: Mega Bootcamp Sessions with Jim Larkin 

Learn directly from Jim Larkin, a top advertising expert in connected TV. These sessions are a must for anyone serious about growing their TV channels.

Bonus #6: Movers and Shakers Facebook Community – Value: Priceless

Join a community of like-minded individuals passionate about connected TV.

Community Benefits:

Share ideas and success stories.

Get tips from experienced users.

Build accountability and lasting connections.

Bonus #7: Television On-Camera Training

If you plan to appear on TV, this bonus is essential. Learn how to look and sound your best on camera.

Key Takeaways:

Master techniques to appear confident and professional.

Learn tips for interviews, commercials, and live TV.

Bonus #8: BioLink Creator App for Social Media

Simplify your social media marketing with this powerful app.

What It Does:

Creates a central bio link for platforms like Instagram and TikTok.

Tracks performance with built-in analytics.

Bonus #9: 50 Niche eBooks 

Use these high-quality eBooks as a guide to create content for your channels.

How It Helps:

Build expertise in various niches.

Create video courses based on these eBooks to resell.

Bonus #10: Voice Training

Leverage 30 years of broadcasting knowledge to improve your voice skills.

What You'll Learn:

Speak with authority and confidence.

Use your voice effectively for marketing and storytelling.

Who Needs TVBoss Fire Reloaded?

TVBoss Fire Reloaded is perfect for a variety of individuals and businesses. Here's who will benefit most:

            Entrepreneurs and Small Business Owners

            Content Creators

            Digital Marketers

            Passive Income Seekers

            Educators and Coaches

           Beginners in Online Business

            Niche Marketers

My Recommendation for TVBoss Fire Reloaded

TVBoss Fire Reloaded is a solid choice for anyone looking to tap into the booming connected TV market. It simplifies creating and monetizing TV channels, making it ideal for beginners and experienced marketers.

I recommend it if:

You want to build a passive income stream with minimal technical work.

You're eager to explore untapped markets on Roku and Amazon Fire.

You're looking for a cost-effective, scalable platform to grow your business.

What sets TVBoss Fire apart is its accessibility. The extensive training, active community support, and legal content library make it an excellent investment for those ready to put in the effort. However, this is something other than a get-rich-quick scheme. Success depends on your dedication to learning and executing the strategies provided.

If you're serious about creating a long-term business in connected TV, TVBoss Fire Reloaded is worth exploring. With the 30-day money-back guarantee, it's a risk-free way to start your journey in this growing industry.

Frequently Asked Questions

Do I need technical skills to use TVBoss Fire?

No, the platform is designed for beginners. Step-by-step tutorials are provided.

Can I use my videos?

Yes, you can upload personal content. But TVBoss Fire's library offers plenty of ready-made options.

How much can I earn?

Earnings vary. Some users make a few hundred dollars, while others report six-figure incomes.

Are there hidden costs?

No. The platform is transparent. You pay a one-time fee or subscription.

Can I cancel my subscription?

Yes, the platform offers a money-back guarantee within 30 days.

Final Thoughts

TVBoss Fire Reloaded is a tool for aspiring TV entrepreneurs. It removes technical barriers and opens doors to the booming CTV market. Whether you're a beginner or an expert, the platform can help you achieve your goals.

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MobileFuse Announces Partnership with ID5, Enhances Campaign Performance and ROI

Leading digital advertising platform and alt ID provider partner, resulting in 77% increased reach for advertisers MobileFuse, one of the largest in-app, CTV, and DOOH advertising platforms, announced a strategic partnership with ID5, the market-leading identity provider for digital advertising. MobileFuse stands as the one of the first in-app SSPs to adopt the ID5 ID, helping advertisers target…

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Top Programmatic Advertising Strategies to Enhance Your Campaigns

Programmatic advertising has revolutionized the way businesses purchase and place ads online. By automating the process of buying and optimizing digital ad inventory, programmatic advertising offers a more efficient, targeted, and data-driven approach. With the rise of programmatic platforms, businesses can now reach their ideal audience at the right time with highly relevant content. In this article, we will explore the top programmatic advertising strategies to help your campaigns succeed, enhance engagement, and maximize your return on investment (ROI).

1. Understand the Power of Data-Driven Targeting

One of the core benefits of programmatic advertising is its ability to use data to target the right audience. With programmatic, advertisers can leverage first-party, second-party, and third-party data to create highly personalized ad experiences. By understanding consumer behavior, demographics, interests, and browsing history, you can deliver more relevant ads to the right people.

Why It Works: Data-driven targeting helps advertisers eliminate waste by ensuring ads are shown only to those who are most likely to be interested in their product or service.

Best For: Improving ad relevance, increasing engagement, and reducing wasted impressions.

Tips for Success:

Use customer data from your website, CRM systems, and other touchpoints to create audience segments.

Experiment with different targeting criteria, such as geographic location, device, or online behavior.

Continuously optimize your targeting strategy based on campaign performance metrics.

2. Leverage Real-Time Bidding (RTB)

Real-time bidding (RTB) is a key feature of programmatic advertising that allows advertisers to bid for ad impressions in real-time as users visit websites or apps. RTB enables advertisers to compete for premium ad inventory based on the value they place on each impression, optimizing the price and maximizing campaign efficiency.

Why It Works: RTB enables you to buy ad space at the most cost-effective price, ensuring you get the best value for your ad spend. Additionally, it allows you to adjust bids based on demand and available inventory.

Best For: Maximizing cost-efficiency and reaching your target audience at the optimal moment.

Tips for Success:

Set a clear budget and bid strategy to ensure your bids align with your advertising goals.

Use demand-side platforms (DSPs) to manage and automate your RTB campaigns efficiently.

Monitor and adjust bids based on ad performance and market conditions.

3. Use Dynamic Creative Optimization (DCO)

Dynamic Creative Optimization (DCO) is a programmatic advertising strategy that customizes ad creatives in real-time based on user data. By using DCO, you can deliver personalized and highly relevant ads to each individual, increasing the likelihood of engagement and conversion.

Why It Works: DCO enables you to tailor your ad content to the specific preferences and behaviors of each user, making it more compelling and effective.

Best For: Improving ad relevance, driving conversions, and boosting engagement.

Tips for Success:

Use DCO to create multiple variations of your ad creatives and test which versions perform best with specific audience segments.

Personalize your ads with elements such as user names, location-based offers, or product recommendations.

Monitor and adjust creative strategies based on performance data to continuously optimize your campaigns.

4. Focus on Cross-Channel Programmatic Advertising

Programmatic advertising isn’t limited to display ads on websites; it also includes channels such as mobile, video, social media, and even connected TV (CTV). A cross-channel approach allows you to reach your audience across multiple touchpoints, increasing the chances of engagement and conversions.

Why It Works: A cross-channel programmatic strategy helps ensure your brand message is consistently delivered to your audience across various platforms and devices, enhancing visibility and impact.

Best For: Expanding your reach, increasing brand awareness, and improving customer journey tracking.

Tips for Success:

Use a single programmatic platform or demand-side platform (DSP) that integrates multiple channels to streamline campaign management.

Ensure consistent messaging across all platforms, while adapting creatives to fit the specific requirements of each channel.

Track the performance of each channel and adjust budgets to allocate more resources to the highest-performing platforms.

5. Take Advantage of Programmatic Video Advertising

Programmatic video advertising is growing rapidly and is a powerful way to capture consumer attention. Video ads can be served across various platforms, including YouTube, social media, and even on connected TV (CTV). Programmatic video allows advertisers to target specific audiences with highly engaging video content.

Why It Works: Video ads are more engaging and can drive stronger emotional connections with viewers. Programmatic video advertising helps you reach your target audience at scale with minimal effort.

Best For: Increasing brand awareness, engagement, and conversions.

Tips for Success:

Invest in high-quality video creatives that are short, compelling, and visually engaging.

Use video retargeting strategies to re-engage users who have previously interacted with your brand or website.

Optimize video ads for mobile devices, as most video content is consumed on smartphones and tablets.

6. Implement Frequency Capping to Avoid Ad Fatigue

Ad fatigue occurs when users see the same ad too many times, leading to diminishing returns and a negative perception of your brand. Frequency capping is a strategy used in programmatic advertising to limit the number of times an individual sees your ad within a specific timeframe.

Why It Works: Frequency capping helps prevent ad fatigue, ensuring that your ads remain fresh and engaging while reducing the risk of annoying your audience.

Best For: Improving user experience, increasing ad effectiveness, and optimizing ad spend.

Tips for Success:

Set frequency caps to ensure your audience doesn’t see the same ad more than a specified number of times per day or week.

Experiment with different frequency settings to find the optimal balance between ad exposure and user engagement.

Combine frequency capping with other strategies, such as retargeting, to deliver relevant messages without overwhelming users.

7. Monitor and Optimize Campaign Performance

To achieve the best results from programmatic advertising, it’s essential to continuously monitor and optimize your campaigns. Programmatic platforms provide detailed insights into performance metrics such as click-through rates (CTR), conversion rates, and return on ad spend (ROAS).

Why It Works: Regular monitoring and optimization allow you to make data-driven decisions, adjust bids, and improve targeting to achieve better results over time.

Best For: Improving ROI, maximizing campaign efficiency, and ensuring long-term success.

Tips for Success:

Set up key performance indicators (KPIs) that align with your campaign goals, such as CTR, cost-per-click (CPC), and conversion rates.

Use A/B testing to experiment with different creatives, targeting strategies, and bids to find the most effective combinations.

Adjust your campaigns based on real-time data to ensure you’re always optimizing for the best possible results.

Conclusion

Programmatic advertising is a powerful tool that enables businesses to reach their target audience with precision and efficiency. By leveraging strategies such as data-driven targeting, real-time bidding, dynamic creative optimization, and cross-channel advertising, you can maximize the impact of your campaigns and drive better results. Whether you’re running display ads, video ads, or mobile campaigns, programmatic advertising allows you to streamline your efforts, enhance engagement, and optimize your ad spend for long-term success.

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Discover the power of connected TV advertising with Cubikey, a dedicated CTV marketing agency. We specialize in helping brands reach targeted audiences through smart, effective CTV campaigns. Grow your brand’s visibility and engagement across popular streaming platforms with our tailored solutions

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Finding the Right Balance: How Ad Frequency Capping Drives CTV Success In the world of CTV, it’s all about balance—and one of the most important balancing acts is getting your ad frequency just right. Too many ads? You risk frustrating your audience and driving them away. Too few? You’re leaving valuable revenue on the table. So how do you walk that fine line? Here’s why Ad Frequency Capping matters for CTV platforms: 1. User Retention: Overloading viewers with repetitive ads can lead to burnout. A well-timed ad experience, powered by frequency capping, keeps viewers engaged longer and reduces churn. 2. Maximizing Revenue Without Overload: By capping ad frequency, you can still serve ads while avoiding the trap of diminishing returns. The right frequency keeps CPMs healthy without annoying your audience. 3. Personalization Wins: Capping ads allows you to focus on more targeted, relevant ads—giving users a more personal experience while ensuring advertisers get quality impressions. 4. Balance = Long-Term Success: It’s not about flooding the viewer with ads, but about creating an enjoyable viewing experience that keeps them coming back—ultimately leading to sustainable revenue growth. Want to future-proof your CTV platform? Get your ad frequency in check!

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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.

[insideoutvietnam]

Pixalate’s Q2 2024 Delisted Mobile Apps Report - Apple App Store and Google Play Store: 1.1M Google Play Store Apps Removed, Representing 34% of All Apps

London, Aug. 16, 2024 (GLOBE NEWSWIRE) —  Pixalate, the market-leading fraud protection, privacy, and compliance analytics platform for Connected TV (CTV) and Mobile Advertising, today released the Q2 2024 Delisted Mobile Apps Report – Apple App Store and Google Play Store, analyzing Q2 2024 delisted apps. The report identifies applications that are no longer available for download from the Apple…

[futuristicpaintercat]

Tech-enabled TV Ad Spending Market Primed for Growth Amid Surging Connected TV and Programmatic Advertising Adoption

Connected TVs have enabled brands to target consumers more precisely through programmatic ad platforms. With the rising popularity of smart TVs, as well as increasing broadband and streaming video consumption, the scope for data-driven and addressable TV advertising is expanding rapidly. Over-the-top (OTT) streaming services and smart TV platforms have enabled programmatic buying and measurement of TV ads. Brands can now leverage data on consumers' online behavior, purchasing patterns, and demographics to reach their target audiences across channels like Hulu, YouTube, and streaming apps on smart TV interfaces. Programmatic TV ad platforms also provide features like frequency capping and dynamic ad insertion and replacement. This is optimizing ad experiences for viewers as well as driving better ROI for advertisers. The availability of granular viewership data is also enabling micro-targeting of ads based on geo-location, household attributes, and real-time signals.

The TV Ad spending market size was valued at US$ 212.27 Bn in 2023 and is expected to reach US$ 298.12 Bn by 2030, exhibiting a compound annual growth rate (CAGR) of 5% from 2023 to 2030. Market Drivers The increasing popularity of OTT video services is a key driver boosting tech-enabled TV Ad Spending Market Share. Cord-cutting and cord-nevers are driving unmatched viewership growth of streaming apps like Netflix, Hulu, and Amazon Prime Video. Linear TV viewing is declining, prompting brands to shift budgets to digital platforms for better metrics and accountability. The global rollout of 5G networks will allow delivery of higher video resolutions and enable more immersive ad experiences. This will attract greater ad tech investments towards CTV and addressable TV advertising.

Challenges in TV Ad spending Market The TV ad spending market is facing several challenges currently. One of the major issues is changing consumer behavior and increasing popularity of digital streaming platforms. Younger consumers are spending more time on social media, online videos and OTT platforms for entertainment which is reducing the time spent on traditional TV viewing. This is affecting the reach and effectiveness of TV ads. Another challenge is proliferation of ad-blocking tools which allow consumers to skip TV ads on various devices and platforms. Strict data privacy regulations around the world are also restricting how user data can be collected and used for targeting ads. Measurement of TV ad effectiveness and viewership is also becoming difficult due to growing consumption of content across multiple non-linear platforms. SWOT Analysis Strength: TV still reaches wide audience across demographics. Brand recognition and mass reach of TV ads is unmatched. Weakness: Declining viewership of traditional TV. High production and distribution costs of TV ads. Opportunity: Integration of TV with digital platforms allow enhanced targeting and measurement. Growth of Connected TV and addressable TV ads. Threats: Rising popularity of ad-blocking. Increased regulation around user data and privacy.

Get more insights on TV Ad Spending Market

About Author:

Money Singh is a seasoned content writer with over four years of experience in the market research sector. Her expertise spans various industries, including food and beverages, biotechnology, chemical and materials, defense and aerospace, consumer goods, etc. (https://www.linkedin.com/in/money-singh-590844163)

[mfilterit]

Is your CTV Ads Budget ROI Optimized with Ad Fraud Detection?

Connected TV (CTV) ads have emerged as a powerful digital advertising medium for brands looking to engage in a more targeted and interactive manner. As CTV viewing time has doubled over the last four years, CTV ad spending is also projected to reach $27.47 billion. 

Some of the popular CTV platforms for advertising are Roku, Amazon Fire TV, Apple TV, etc. The radical shift in viewership from traditional TV to streaming TV has opened this great opportunity. However, the opportunity is coupled with threats and challenges to ensure the integrity of ad traffic. Advertisers spending on CTV ads risk wasting precious ad budgets on illegitimate views and impressions, ultimately diminishing their return on investment (ROI).  

According to a recent study, in the second quarter of 2024, 19.4% of programmatic ad traffic to CTVs was invalid worldwide. To protect CTV ad campaigns, automation with advanced processes and AI ML-powered solutions is necessary.  

Let’s dwell deeper and explore why validating ad traffic is essential for CTV campaigns and how it can significantly enhance your advertising effectiveness and profitability.   Click here to read more about CTV Ads

[magicmindsblog]

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!

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.

[seositetool]

Viant Technology Announces Acquisition of IRIS.TV

Viant Technology Inc., a leader in AI-powered programmatic advertising, announced it acquired IRIS.TV, a global content data platform built for CTV. Major content owners and platforms rely on IRIS to supply a consistent content signal to marketers. IRIS has integrated with over 1,400 video content owners, platforms and content management systems indexing over 60,000,000 streaming video files.…

[consulttv]

CTV Programmatic Solutions: Redefining Digital Advertising

In today's fast-paced digital landscape, connected TV (CTV) has emerged as a game-changer in the realm of digital advertising. CTV programmatic solutions are revolutionizing the way brands connect with their audiences, providing unprecedented targeting precision and engagement opportunities. Platforms like ConsulTV are at the forefront of this transformation, offering advanced tools for targeted OTT campaigns and programmatic video advertising solutions that drive results.

CTV programmatic solutions leverage automated technology to purchase and place ads on connected TV devices. This automation ensures that ads are delivered to the right audience at the right time, enhancing the effectiveness of campaigns and optimizing advertising budgets. By utilizing vast amounts of data, these solutions allow for highly targeted OTT campaigns that reach specific demographics, interests, and viewing behaviors.

One of the standout features of CTV programmatic advertising is its ability to deliver ads in brand-safe environments. ConsulTV, for instance, partners with premium publishers to ensure that content is placed in trusted settings, safeguarding brand reputation while maximizing audience reach. This approach not only builds consumer trust but also enhances the overall impact of advertising efforts.

Furthermore, CTV programmatic solutions offer robust measurement and reporting capabilities. Detailed analytics provide insights into campaign performance, allowing advertisers to track key metrics such as viewability, completion rates, and audience engagement. ConsulTV's platform, for example, integrates advanced reporting features that offer a comprehensive view of every dollar spent, enabling advertisers to make data-driven decisions and refine their strategies for better outcomes.

Another significant advantage of CTV programmatic advertising is its ability to create personalized ad experiences. By leveraging data points and audience insights, advertisers can tailor their messages to resonate with viewers on a deeper level. This personalization increases the likelihood of engagement and conversion, making advertising efforts more effective and impactful.

Moreover, the integration of programmatic video advertising solutions within the CTV ecosystem enhances the versatility of campaigns. Video ads are highly engaging and can convey complex messages in a short span, making them ideal for capturing audience attention. Platforms like ConsulTV utilize the power of video to deliver compelling narratives that drive brand awareness and customer loyalty.

In conclusion, CTV programmatic solutions are redefining digital advertising by combining automation, data-driven targeting, and advanced measurement capabilities. Platforms like ConsulTV are leading the charge, offering innovative tools and strategies for targeted OTT campaigns and programmatic video advertising solutions. As the digital advertising landscape continues to evolve, the adoption of CTV programmatic solutions will be essential for brands seeking to stay ahead of the curve and achieve meaningful connections with their audiences.

For more information on how CTV programmatic solutions can transform your advertising strategy, visit ConsulTV.

[adctv]

ADCTV: Premier Tool for Effective Interactive Ctv Ads

ADCTV represents the next generation of OTT advertising platforms. Our cutting-edge technology enhances ad creation, targeting, and delivery, optimizing your campaigns for maximum impact. Elevate your OTT advertising with ADCTV’s advanced platform, designed for superior performance and audience engagement across digital channels. Discover the future of OTT advertising today.  

[govindhtech]

Prebid Server Deployment Now Available on AWS

Prebid Server Deployment on AWS is now generally available, according to a statement from Amazon Web Services (AWS). With this new solution, AWS customers can quickly and easily deploy Prebid Server, an open-source real-time ad monetization solution, in their own Amazon Private Cloud (VPC) environment, giving them complete control over the auction decision logic.

This allows customers to monetize their content at scale with programmatic advertising across web, mobile, connected TV, gaming, and other properties. For sell-side customers seeking more customisation than proprietary solutions can offer, Prebid Server Deployment on AWS streamlines “header bidding” workflows, which are content providers bidding for ad space to advertisers across multiple third-party advertising platforms simultaneously.

Many AWS customers use third-party ad platforms, where advertisers bid in real-time auctions for the chance to display their advertisement to consumers, to monetize content through advertising across web, mobile, connected TV, gaming, and other assets. These AWS clients use “header bidding” technology, which enables them to scale access to numerous advertisers’ bids and concurrently auction ad space across several ad platforms, in order to optimise income potential.

The customer experience may be impacted by the way that existing header bidding operations are implemented in the browser using JavaScript. This is addressed by server-to-server methods like the Transparent Ad Marketplace (TAM) offered by Amazon Publisher Services. It is a difficult task for even well-resourced organisations to deploy and manage architectures that are geographically distributed and can support high volumes of traffic with low latency, so publishers who want to customise their auctions or run them in their own AWS accounts are losing out on potential revenue.

A Quick Overview of Prebid Server Deployment on AWS Prebid Server Deployment on AWS, which is generally accessible today, lets users install Prebid Server in their own Amazon VPC environment in a matter of simple steps. This new AWS solution offers pay-as-you-go economics and global scalability along with complete control over auction decision logic and how clients stream transaction data, including necessary revisions.

For AWS users wishing to establish communication with ad platforms, the release of Prebid Server Deployment on AWS signifies a significant advancement as Prebid Server offers connectivity to more than 180 advertising platforms. Prebid Server has been used as a jumping off point by customers with mobile and CTV applications as well as commerce media firms to construct that link. Prebid Server Deployment on AWS speeds up the development process so that customers may have their own monetization engine sooner.

“AWS customers can own their monetization stack with Prebid Server Deployment,” stated Tim Barnes, General Manager of Advertising and Marketing Technology Solutions at AWS. Customers may maximise revenue by holding auctions across hundreds of partners by using this solution, and they can access all of the resulting data in their own AWS environment. They can now develop novel approaches to decision-making on monetization, and they are just need to cover the costs of the supporting infrastructure.

In order to provide AWS clients with ad-supported content properties with scalable ad income access through Prebid.org’s network of advertising platforms, Prebid Server Deployment on AWS was created as a click-to-deploy solution. AWS joined the open-source community that advances omni-channel ad tech auction standards in June by joining Prebid.org.

With the help of this new solution, AWS offers a thorough deployment template along with support for databases, caches, data pipelines, load balancing, containers, and Amazon Elastic Compute Cloud (EC2) instances running the most recent version of Amazon S3. Prebid Server Deployment on AWS can also handle up to 100,000 requests per second (RPS) on average, and it records transaction and operational logs from every Prebid Server container for reporting, analysis, and monitoring purposes. Delivering the operational quality, efficiency, and cost optimisation that AWS customers need, it is a secure, dependable, and sustainable solution for content monetization.

Under the Hood of Prebid Server Deployment on AWS With just one click in the AWS Management Console or AWS Solutions Library, Prebid Server Deployment on AWS offers the complete infrastructure needed to host a Prebid Server with production-grade availability. For admission into Prebid Server Deployment on AWS, Prebid.js code on a customer’s content property secretly transmits ad buyer bid requests to the web application firewall endpoint of Amazon CloudFront/WAF. The load balancer receives this request and forwards it to a cluster of Prebid servers that are operated by Amazon Elastic Container Service (Amazon ECS).

The inbound request is then verified and improved by Prebid Server, which also contacts server-side bid adapters in parallel. In the meantime, in order to monitor the overall health of the solution, Amazon CloudWatch gathers metrics from different resources that are engaged in handling requests and answers through the solution and alerts that are used to scale-in or out each container cluster. Each container’s Prebid Server runtime and metrics logs are momentarily kept on a shared Amazon Elastic File System (Amazon EFS).

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