# Loomit — Full Site Content > This file contains the complete text content of https://loomit.ai for LLM crawlers and AI agents. > For a summary, see https://loomit.ai/llms.txt --- ## Homepage URL: https://loomit.ai/ ### Hero **Smarter ad monetization** The best mobile adtech tools in the world at your fingertips. A new era has arrived. ### Why Loomit **Leverage AI to boost returns on your advertising inventory** Whether you focus on CPM lift, engagement metrics or payer conversion, Loomit turbocharges your mediation, allowing you to design, test and set the best setup for you — with minimal code required! Bring your adtech skills into the AI world with a simple integration. - Unlimited configuration scenarios - Delegate granular optimizations to our AI models - A Client Service team like you've never seen before ### The Loomit Solution Our modular approach means everything we build can be interconnected to deliver infinite potential setups. ### Admon 2.0 in Action A credible process to reach the optimal setup for your app. Turbocharged by our AI models, who deliver real-time optimization at the request level. ### How Teams Use Loomit From scaling revenue to protecting user experience, Loomit adapts to different monetization strategies. ### Frequently Asked Questions **Q: How does Loomit integrate with my current mediation setup?** Loomit connects to your existing mediation platform via SDK or server-side integration. Setup typically takes less than 30 minutes with no disruption to your live traffic. **Q: What kind of revenue uplift can I expect?** Most publishers see a 10-20% increase in ARPDAU within the first 60 days. Results vary based on traffic volume, geo mix, and current optimization level. **Q: Is Loomit compatible with all ad networks?** Yes. Loomit works with all major ad networks and mediation platforms including AdMob, ironSource, MAX, and more. **Q: How does the AI optimization work?** Our machine learning models analyze billions of signals—including user behavior, geo, device, and historical performance—to set optimal price floors and routing decisions in real time. **Q: What does onboarding look like?** Our team handles the full onboarding process. You'll have a dedicated account manager and technical support to ensure a smooth launch. ### Contact Got a project to discuss? We'd love to hear from you. We're eager to connect with you and explore the unique possibilities for your brand. --- ## Use Case: Increase Ad Revenue URL: https://loomit.ai/use-cases/improve-ad-monetization Maximize the value of every ad impression. Loomit helps mobile apps and games increase ARPDAU by optimizing how ads are requested, priced, and delivered. ### Smarter Monetization for Every Impression Not every ad impression has the same value. Factors such as user behavior, device capabilities, and geography can significantly influence how much advertisers are willing to pay. Loomit adapts monetization dynamically to each ad opportunity, helping publishers capture more value from high-quality traffic while maintaining strong fill rates across the rest of the user base. By continuously adjusting pricing and ad request strategies, Loomit ensures that every impression is monetized as efficiently as possible. ### Drive Higher CPMs Through Smarter Ad Requests Loomit increases competition between demand sources by intelligently managing how ad requests are sent to the mediation layer. By leveraging multiple ad units and dynamic pricing strategies, Loomit helps bidding networks compete more aggressively for valuable impressions, which can lead to higher CPMs and stronger overall monetization performance. ### Improve Ad Availability and Selection Loomit helps ensure that high-value ads are always available when an impression needs to be shown. Through parallel ad requests and a smart buffering strategy, the platform increases the likelihood of selecting the best-performing ad opportunity at the right moment, improving both revenue potential and delivery reliability. ### Optimization That Learns From Every User Loomit's Auto-Optimizer continuously experiments with different monetization setups and automatically selects the strategies that perform best. Instead of applying the same configuration to all traffic, Loomit adapts monetization dynamically based on contextual signals such as device characteristics, user behavior, and install lifecycle. This approach allows the system to continuously improve performance while ensuring that advanced monetization strategies are applied only where they generate the most value. --- ## Use Case: Increase IAPs & Subscriptions URL: https://loomit.ai/use-cases/increase-iaps-subscriptions Identify potential payers early and optimize monetization accordingly. Loomit helps you detect high-value users within minutes after install and adapt ad exposure to increase purchases and subscription conversions. ### Identify Potential Payers Early Detect users with a high probability of converting within the first week, just minutes after install. ### Adapt Ad Strategy by User Type Adjust ad pressure based on each user profile to protect high-value users or test more aggressive subscription strategies. ### Optimize Beyond Ad Revenue Measure the impact of monetization decisions on subscriptions, engagement, and long-term value. ### Identify High-Value Users From the Very First Session Loomit's Potential Payers model helps identify users who are more likely to make an in-app purchase or subscribe within the first week after install. These users are significantly more likely to convert early, allowing publishers to react faster and make smarter monetization and UA decisions without waiting days for revenue signals to mature. This insight can be used to personalize monetization, protect user experience, and prioritize the audiences most likely to generate long-term value. ### Test the Right Strategy for Each User Segment Different apps may benefit from different approaches. Loomit helps you test and apply the strategy that best fits your business model. - **Protect likely payers**: Reduce invasive ad formats for users who show strong purchase intent, helping preserve UX and increase the chance of conversion. - **Drive subscriptions more aggressively**: For some segments, you may want to increase ad pressure to encourage users to move to a subscription experience. - **Experiment and learn**: These strategies may point in opposite directions, and that is exactly why testing matters. Loomit helps you evaluate what works best for your app or game. ### Activate Audiences Across Your Stack Potential payer segments can be shared with third-party tools and data platforms, enabling teams to act on these insights across monetization, CRM, analytics, and user acquisition workflows. Some publishers also send these tags to their MMPs to audit and optimize acquisition campaigns in real time. Instead of waiting seven days to confirm which users convert, teams can start adjusting campaign decisions based on early payer signals from the first session. Loomit also supports tracking IAPs and subscriptions directly in the platform, so teams can measure how ad exposure and monetization experiments impact conversion, engagement, and LTV. ### More Control Over Ad Exposure - **Advanced Capping & Pacing**: Control how often ads are shown to different user segments and adjust monetization pressure based on conversion behavior. - **A/B Testing**: Run experiments on ad exposure and monetization strategies to understand what improves subscriptions and IAP conversion. - **LTV & Conversion Measurement**: Track the downstream impact of monetization decisions directly inside Loomit. --- ## Use Case: Improve Ad Quality & User Experience URL: https://loomit.ai/use-cases/improve-ad-quality-and-user-experience Increase revenue without compromising app stability. Improve ad quality, protect performance, and optimize monetization without extra engineering. ### Shorter, Better Ad Experiences Improve user experience by dynamically serving the most appropriate ad formats and reducing intrusive ad experiences. ### Protect App Stability Optimize ad setups for different device types and prevent crashes or ANRs caused by heavy ad configurations. ### Full Observability Monitor ad quality, performance, and stability metrics directly from Loomit's dashboard. ### Reduce Ad Friction Without Losing Revenue Loomit's Interchangeable Ad Formats allow a single placement to dynamically switch between Interstitials and Rewarded Videos, depending on which format performs better. For example, if you are using a Rewarded Video placement, Loomit can automatically serve Interstitials when they outperform Rewarded Videos — without requiring any additional development work. This allows publishers to reduce ad friction while maximizing revenue opportunities. ### More Ads Don't Have to Mean More Problems Loomit helps you push monetization further without compromising app stability or user experience — by adapting ad setups to each device and segment automatically. - **Reduce banner refresh frequency**: Lower refresh rates for certain segments to reduce pressure on low-end devices. - **Initialize fewer networks**: Run lighter mediation setups for users with weaker devices or poor connectivity. - **Smart Buffer optimization**: Dynamically adjust how many ads are loaded in memory depending on device capabilities. ### Detect Problems Before Users Do Loomit provides full observability into ad quality and app stability. You can monitor metrics such as ad duration, close rate, ad revenue per impression, and crash and ANR impact caused by ads. Our automated alerts often detect changes before publishers notice them through crash reports or app reviews. If you're interested in broader trends, Loomit's Market Intelligence tools can also help you understand how your performance compares across the ecosystem. ### Take Full Control Over Ad Exposure Traditional mediation platforms offer only basic frequency controls, making it difficult to test different ad exposure strategies. With Loomit's Advanced Capping & Pacing, you can experiment freely and find the perfect balance between revenue and user experience. - **Segment-based frequency rules**: Apply different ad exposure rules to different user groups. - **A/B testing**: Test different ad configurations to understand their real impact on engagement and retention. - **Dynamic optimization**: Adjust frequency and pacing rules over time as user behavior evolves. --- ## Use Case: Seamlessly Test Providers URL: https://loomit.ai/use-cases/seamlessly-test-providers Discover the best ad tech stack for your app through controlled experiments. Loomit lets you test, switch, and optimize across leading mediation platforms and ad quality tools without complex engineering work. ### Compare Mediation Platforms With Just a Few Clicks Loomit allows you to test the leading mediation platforms in the market without rebuilding your monetization setup. Run controlled experiments across solutions such as AppLovin MAX, AdMob Mediation, and Unity LevelPlay. Measure performance across geographies, formats, and user segments to identify which mediation platform works best for your app. ### Evaluate Ad Quality Tools Before Committing Loomit also allows you to test ad quality solutions such as AppHarbr through controlled experiments. Measure their impact on monetization, app stability, and user experience before rolling them out globally. ### Mix the Best Providers for Each Market With Loomit's Meta Mediation, you can combine different mediation platforms depending on geography or strategy. For example, you might run LevelPlay for US or Tier-1 traffic while using AdMob for markets like India. Loomit allows you to continuously test these setups and measure performance uplift across different user segments. This allows you to discover the optimal monetization stack without rebuilding your ad setup. ### Automatically Discover the Best Monetization Setup Loomit's Auto-Optimizer continuously experiments with different monetization strategies and learns which configuration performs best. Instead of running a single setup for all users, Loomit can dynamically test different strategies and identify which monetization setup delivers the best results. --- ## Supercharge Your Mediation Platform URL: https://loomit.ai/supercharge-your-mediation-platform How Loomit layers on top of MAX, AdMob, LevelPlay, and other mediation providers to unlock advanced monetization capabilities. --- ## Blog URL: https://loomit.ai/blog ### Build or Buy? Why Internal Adtech Has Lost Its Competitive Edge Published: 2026-03-30 URL: https://loomit.ai/blog/build-or-buy-why-internal-adtech-has-lost-its-competitive-edge ## The Old Order: Internal Tech as a Moat For years, the mobile gaming industry operated on a clear hierarchy. Large studios with the resources to build internal adtech had a structural advantage. While mid-size studios celebrated the simplicity of bidding — Google's push toward programmatic buying that automated much of the waterfall — larger operators were quietly building proprietary infrastructure that went far beyond what any off-the-shelf mediation could offer. Smart segmentation. Pre-, post-, and parallel bidding. Advanced pacing systems. Dynamic routing. Smart buffers. These weren't features you could just turn on from a dashboard. They required significant engineering investment, dedicated data teams, and months of iteration. But for the studios that built them, the payoff was real — optimization variables that competitors simply couldn't access. That infrastructure advantage, however, is eroding fast. And some of the largest studios in the world haven't yet realized it. --- ## What Changed: The Democratization of Adtech The emergence of purpose-built adtech platforms like Loomit has fundamentally changed the calculus of the build-vs-buy decision. Today, any studio — regardless of size — can access the same sophisticated optimization tools that large operators spent years and millions building internally: - Dynamic price floors - Multiple ad units - Advanced segmentation - Predictive buyers - Interchangeable formats - Smart buffering - AI-driven automation Access to these tools no longer requires a team of engineers. It requires an integration. And it comes at a fraction of the cost of building and maintaining proprietary infrastructure. Technology today isn't a moat. Whatever we build, you can build as well — but this is the only thing we do, and we deliver it to many parties. --- ## The Case Against Internal Tech The intuitive counter-argument from large studios is that internal tech offers customization that external products can't match. This is sometimes true in specific, narrow use cases. But the broader reality of internal adtech is less flattering: - Internal tools are rarely built with a product mindset. They tend to accumulate as webs of patches, workarounds, and features without a modular architecture underneath. - They are expensive to maintain. Engineering time spent on adtech is engineering time not spent on game development. - They evolve slowly. Internal tools don't have dedicated product teams iterating based on ecosystem-wide learnings. External products serving dozens of publishers do. - They are fragile. Changes to mediation partners, ad formats, or platform policies require internal re-engineering that can take months. Studios can rightly celebrate the tech they've built. But if it's more expensive, less adaptable, and slower to evolve than what's available externally — at what point does pride become a liability? --- ## The New Battleground: Testing Infrastructure If technology is no longer a moat, where does competitive advantage come from? **The answer is testing velocity.** Mobile ad monetization is no longer a configuration exercise — it's an optimization discipline. With so many new variables in play (segment-level strategies, format swaps, dynamic floors, prebid configurations, pacing rules), finding the right setup for every app, every user cohort, and every ad request requires continuous experimentation. The studios that win will be the ones that can test ten things and fail nine of them — quickly. Those without the infrastructure to run fast, clean A/B tests will spend months arriving at conclusions their competitors reached in weeks. A product mindset is required: **success = testing 10 things and failing 9 times.** --- ## The New Moat: Data, Models, and Automation The real competitive advantage in mobile adtech is shifting from: **who has the best tech → who has the best data (and acts on it fastest)** The studios that will win over the next five years are those: - Building data infrastructure - Investing in ML models for real-time optimization - Automating decisions progressively This is a fundamentally different capability than software engineering. It requires data engineers, model specialists, and an experimentation culture. For most studios, this is a case for partnership rather than in-house development. A platform that serves dozens of publishers accumulates ecosystem-wide data at a scale no single studio can match. That scale feeds better models. Better models drive better outcomes. --- ## What This Means for Your Studio The build-vs-buy question in adtech isn't really about whether you *can* build it. Most large studios can. The real question is: - Is building it the best use of your resources? - Can your internal tools keep pace with specialized platforms? The studios most at risk are those who still believe their internal tech is a differentiator, while the gap between internal and external capability narrows every quarter. The most forward-thinking operators are asking a different question: > Not "how do we build better adtech?" > But "how do we free up our teams to focus on what only we can do?" --- ### Top 3 Ad Mediation Platforms in 2026 Published: 2026-01-15 URL: https://loomit.ai/blog/top-3-ad-mediation-platforms-in-2025 > And How Loomit Helps You Choose the Best One Choosing the right ad mediation platform in 2026 can make or break your monetization strategy. Based on what we’ve seen across dozens of mobile publishers, the three most common options are: - AppLovin MAX - Google AdMob - Unity LevelPlay Each one has its strengths — and its limitations. Let’s break them down. --- ## 1. AppLovin MAX ### Pros - Strong CPM performance, especially in Tier-1 markets like the US - Excellent results in full-screen formats such as interstitials and rewarded videos - Enables Ad ROAS campaigns, helping scale user acquisition through AppLovin ### Cons - No COPPA support, making it unsuitable for child-directed apps --- ## 2. Google AdMob ### Pros - Excellent performance with banner ads - Google’s demand source delivers strong ad quality and large impression volumes - Stable and reliable fill rates, especially in Tier-2 and Tier-3 regions ### Cons - Product innovation has slowed, and the platform has changed little in recent years --- ## 3. Unity LevelPlay ### Pros - Advanced segmentation capabilities for optimizing by geography, device, or user behavior - Recent upgrades such as Vector and multi-ad-unit support - A great option for teams already building their apps or games with Unity ### Cons - ARPDAU performance can be inconsistent depending on the market and game genre --- ## So Which One Should You Use? The reality is that there is **no one-size-fits-all answer**. Performance can vary significantly depending on factors such as: - Country - User segment - Ad format - Game or app category - Time of year This is why many publishers experiment with different setups before committing to a single mediation platform. --- ## How Loomit Helps You Decide Smarter Loomit was built to help publishers take full control of their ad monetization strategy — from testing and comparing mediation platforms to dynamically optimizing performance across formats, regions, and networks. With Loomit, you can: - Run **A/B/C tests between MAX, AdMob, LevelPlay, or other mediators** - Split traffic across mediators however you want - Mix mediators by format (for example: AdMob for banners, MAX for full-screen ads) - Target specific regions or user segments - Keep **control groups live** to measure real performance changes - React quickly to shifts in monetization performance without complex migrations Instead of relying on guesswork or large infrastructure changes, Loomit allows teams to **continuously experiment and optimize their monetization stack**. --- ### AdMon teams should think like Product Published: 2025-10-17 URL: https://loomit.ai/blog/ad-monetization-teams-need-to-start-acting-more-like-product-teams > Building sustainable revenue through experimentation. Let's say you hire THE world's undisputed best product owner to work on your app. What percentage of their ideas do you think will actually make it to production? At what point would you say the product is "done" evolving? An optimistic answer is 30% of ideas ship (and of course the product is never done). Continuous experimentation is the expectation. The more you test, the faster you find ways to improve your app. Failure along the way is expected. Admon today seems to play by a different set of rules. Everything is a search for instant wins; "hacks" to move the needle immediately. This is partly structural: admon teams are (mostly) measured on short-term performance (CPM, ads ARPAU) and not LTV contribution. Understandably, this often leads to friction between product and admon: product fears that you improve ad metrics at the expense of product. **Focusing on LTV requires product thinking.** Structured hypotheses, controlled experiments, willingness to fail and a feedback loop that connects user experience with revenue. It also requires infrastructure. Product teams have feature-flag systems, AB testing tools, and analytics that make experimentation scalable. Monetization teams on the other hand rarely do. For the most part, they rely on reporting dashboards (and often good old spreadsheets). Resource scarcity plays a role as well. Admon and product teams often compete for engineering, and given that the admon role doesn't include "Owner" in the title you can imagine who wins. **This is the heart of what we're trying to solve.** Yes, we typically deliver an immediate boost to ARPAU, but that's not where the real pain point is. It's not where you should focus. Loomit provides the infrastructure admon teams need to be able to test as if they were product, in a way that gives them freedom from the resource limitations of a shared engineering team. We give them the tech they need and evolve it over time. In the past, iterative and granular approach to admon may have seemed unrealistic. Waterfalls were complex enough and the tools simply weren't there. Times have changed however. Managing multiple experiments in parallel, optimizing in real time at a granular level, and measuring outcomes with precision is doable with tools like Loomit. As AI continues to simplify segmentation and optimization, the question isn't whether this level of sophistication is feasible, but whether studios are prepared for it. The market is unforgiving to teams that fail to take a holistic view of monetization. We argue that this is the new reality, whether studios (and mediations, and networks..) like it or not. **It will be a painful ride for those who fail to see the change. This is how sustainable studios will be built going forward.** --- ### How to Personalize Ads for New Users Without Sacrificing Revenue Published: 2025-07-15 URL: https://loomit.ai/blog/how-to-personalize-ads-for-new-users-without-sacrificing-revenue > And How Loomit Helps You Create a Smarter Onboarding Experience User acquisition is more expensive than ever. So why are many apps treating brand-new users the same way they treat long-time players — especially when it comes to ads? :contentReference[oaicite:0]{index=0} If you’re showing the same number of interstitials or rewarded videos to a user on day 0 as you are to one who’s been playing for two weeks, you might be leaving revenue — and retention — on the table. :contentReference[oaicite:1]{index=1} Let’s talk about how to fix that. --- ## What Are You Doing With Your New Users? We’ve spoken to dozens of publishers about how they handle ads during onboarding. Here’s what we found: - Some avoid showing ads during the first few minutes of gameplay or until a specific event is triggered - Others insert ads directly into the onboarding flow - A few show no ads at all to new users — hoping to increase retention Every approach has its logic. But when we asked how those decisions were made, the answer was often: > “We just tried it once and stuck with whatever seemed to work.” In most cases, there was no proper A/B test, no segmentation, and no data-driven iteration — even though these same publishers run hundreds of experiments per year in other areas. :contentReference[oaicite:2]{index=2} Why? Because onboarding ad strategies are hard to test. Until now. --- ## Why Ad Onboarding Needs a Rethink First impressions matter. When you show ads too early or too aggressively, you risk: - Pushing away non-organic users before they form habits - Lowering **Day-1 (D1) retention** - Missing higher **LTV potential** from long-term users At the same time, if you don’t show any ads, you risk leaving revenue on the table — especially from paid user acquisition traffic, which can be expensive. :contentReference[oaicite:3]{index=3} The key is finding the right balance. --- ## How Loomit Helps You Build a Smarter Onboarding Flow With Loomit, you can run **true A/B and multivariate tests** for onboarding ad strategies — without extra development work. Our platform helps publishers: - Test multiple onboarding ad setups (e.g., skip the first 3 minutes, trigger ads after the tutorial, etc.) - Personalize the ad experience based on user type: organic, paid, country, or app version - Optimize for **engagement and ARPDAU simultaneously** - Track retention impact in real time with clear dashboards - Adjust ad logic remotely without waiting for a new app update --- ## Real Results From Publishers Using Loomit > “We were showing interstitials too early and didn’t even realize it. After testing with Loomit, we found a **15.6% increase in D1 retention** just by delaying ads until the end of onboarding.” > — Growth Manager, Mid-Core Game :contentReference[oaicite:4]{index=4} --- ## What Could You Discover? With Loomit, you can answer high-impact questions like: - How many ads should I skip for new users? - Should paid users see fewer or different ad formats? - Are certain networks more valuable for new users than others? - Can I increase engagement without sacrificing monetization? And more importantly: you can test all of this quickly and safely. --- ## Get Started with Loomit 1. Sign up at **loomit.ai** 2. Connect your mediation setup 3. Launch smarter onboarding experiments and measure the real impact on revenue and retention --- ## Still Giving All Your Users the Same Onboarding Ad Experience? It’s time to change that. With Loomit, you can personalize onboarding, improve retention, and optimize monetization — all with real data and no added complexity. --- ### How to Protect Your Most Valuable Users from Bad Ads Published: 2025-07-15 URL: https://loomit.ai/blog/how-to-protect-your-most-valuable-users-from-bad-ads > And How Loomit Helps You Deliver a Better Ad Experience Without Extra Code Not all users behave the same, so why give them all the exact same ad experience? In 2025, many mobile games are still treating high-value players the same as casual, one-time users when it comes to ads. But with ad formats getting more aggressive and unskippable, this strategy is starting to backfire. Let’s take a closer look at the problem and how Loomit helps solve it. --- ## The Problem: Bad Ads Hurt Retention Ad networks are pushing longer, harder-to-close ads (aka. **“high engagement ads”**). While some of these formats deliver strong CPMs, they also frustrate users — especially your most engaged ones. Here’s what we’re seeing: - Unskippable interstitials and rewarded videos lasting **30+ seconds** - Inconsistent ad quality across networks - Higher churn among your **top users**, who feel interrupted or annoyed - A false sense of “performance”, where **CPMs look good but LTV drops silently** The result? Publishers end up chasing **short-term revenue while losing long-term value**. --- ## The Smarter Solution: Personalize the Ad Experience What if you could: - Show **better ads to high-value users (or none at all)** - Automatically **limit bad networks for specific segments** - **A/B test different ad rules** to measure their impact on retention, ARPDAU, and LTV With Loomit, you can. --- ## How Loomit Gives You Control — Without Extra Code Over **30 publishers** are already using Loomit to: - Set rules for ad quality **per user type** *(e.g. show short interstitials to paying users, or no ads to whales)* - **Block or down-rank problematic networks** that hurt retention - Run **controlled experiments** to understand the real cost of bad ads - Find the **sweet spot between ad revenue and user satisfaction** - Do all of this **remotely — no SDK changes and no extra dev work** Instead of guessing, teams can start making **data-driven decisions**. --- ## Real Results > “We knew bad ads were hurting our retention, but couldn’t quantify it. Loomit helped us test it — and we found a **12% boost in D7 retention** after adjusting ad logic for top spenders.” > — Monetization Lead, Casual Game Studio --- ## Why This Matters More Than Ever In a world of increasingly aggressive ad formats, **user trust is your biggest asset**. Protecting your most valuable users — those who watch daily, pay, or come back week after week — is key to long-term growth. Loomit lets you strike the right balance between: - Monetization - Retention - Control --- ## Get Started with Loomit 1. Sign up at **loomit.com** 2. Connect your mediation setup 3. Start protecting your users while increasing LTV --- ## Still showing the same ads to all your users? It might be costing you more than you think. Let Loomit help you **test smarter, personalize ad logic, and protect your most loyal players — without adding more work to your dev team.** --- ### Identify Future Payers from Day One Published: 2025-07-15 URL: https://loomit.ai/blog/identify-future-payers-from-day-one > How Loomit's "Potential Payers" Segmentation Helps You Maximize Revenue Sooner What if you could predict which users are most likely to pay — before they even see their first ad? With Loomit’s **“Potential Payers” segmentation**, mobile publishers can identify users with a high probability of converting into subscribers or in-app purchase (IAP) buyers during their very first session. On average, these users convert at **3–4× higher rates** than the typical user within the first seven days. --- ## How It Works Loomit analyzes **more than 100 behavioral and contextual signals in real time** — including early in-app activity, device information, and engagement patterns. Using this data, Loomit predicts which users are most likely to convert **even before the first ad impression is shown**. Once identified, this predictive segment becomes instantly available in the Loomit dashboard, allowing publishers to power smarter monetization, pricing, and user experience strategies from day one. --- ## What Our Customers Are Doing with “Potential Payers” Top publishers are already using this signal in several ways: --- ### 1. Optimize IAP Offers and Pricing Not all users respond to the same price points. With early payer predictions you can: - A/B test pricing tiers specifically for high-value users - Show personalized discounts or bundles early in the user journey - Prioritize premium content for users most likely to convert --- ### 2. Boost Ad Revenue from High-CPM Users Users identified as potential payers are often **highly valued by ad networks**, with CPMs sometimes **5–10× higher than average**. With Loomit, publishers can: - Set higher price floors for these users - Increase auction competitiveness without hurting retention --- ### 3. Deliver a Premium Ad Experience Sometimes, **less advertising leads to more revenue**. Protecting potential payers from intrusive ads early on can increase subscription or IAP conversions. With Loomit you can: - Adjust ad capping and pacing during the first 7 days - Delay monetization to prioritize conversion - Offer ad-light or ad-free experiences for selected users --- ### 4. Accelerate UA Optimization Why wait **7–14 days** to confirm which campaigns are bringing paying users? With Potential Payers you can: - Use predicted conversions as an early UA optimization signal - Adjust bids and budgets in real time - Improve campaign ROI and reduce acquisition costs --- ## Real Impact, Real Fast > “We used Loomit to identify high-potential buyers from the first session and delayed interstitial ads for those users. Our trial-to-subscription rate increased by **21% in just two weeks**.” > — Growth Lead, Subscription App --- ## Get Started with Loomit 1. Sign up at **loomit.ai** 2. Enable **Predictive Segmentation** in your dashboard 3. Start personalizing the experience for your most valuable users from day one --- ## Want to Unlock Smarter Monetization from the Start? Loomit’s **Potential Payers segmentation** is already helping publishers: - Increase IAP revenue - Improve retention - Optimize user acquisition earlier in the lifecycle Let us show you how. --- ### Boost ARPDAU and Engagement with Interchangeable Ad Formats Published: 2025-06-05 URL: https://loomit.ai/blog/boost-arpdau-and-engagement-with-interchangeable-ad-formats > How Loomit's Dynamic Format Switching Helps You Maximize Revenue and Improve User Experience. Most mobile games still lock ad placements to a single format. - Interstitial = Interstitial - Rewarded Video = Rewarded Video But what if a single placement could support both — and automatically choose the best format based on user behavior, app context, or predicted performance? That’s exactly what Loomit’s **Interchangeable Ad Formats** enables. --- ## Introducing Interchangeable Ad Formats — by Loomit At Loomit, we’re rethinking ad monetization from the ground up — starting by challenging the static nature of ad formats. **Interchangeable Ad Formats** allows a single ad placement to dynamically switch between formats (for example, Rewarded Video or Interstitial) based on what is most likely to drive the highest **ARPDAU, retention, or LTV** for that specific user at that specific moment. :contentReference[oaicite:1]{index=1} --- ## Why It Matters ### 1. Rewarded Videos Don’t Always Win It’s common to assume that rewarded videos always outperform interstitials. However, in practice, **eCPM can swing in favor of either format** depending on factors such as: - Session length - Impression count - User segment - Game type With Loomit, you no longer need to hardcode formats or guess which one works best. The system automatically selects the most effective format for every impression. --- ### 2. Better User Experience Without Losing Revenue Interchangeable formats add flexibility that benefits both users and developers. For example: - Show a **short interstitial** instead of a long rewarded video when appropriate - Allow users to earn the same reward with less friction - Reduce **ad fatigue** by rotating formats intelligently Studios using Interchangeable Ad Formats report: - Higher **ARPDAU** - **Lower ad exposure per session** - No measurable negative impact on retention --- ### 3. No Extra Code or Complex Setup Loomit clients don’t need to refactor placements, update SDKs, or delay launches. The feature is built directly into the Loomit platform: 1. Enable the feature in the dashboard 2. Use Loomit’s predictive defaults or configure your own rules 3. Start testing and measuring results immediately --- ## Who Should Use It? Interchangeable Ad Formats is ideal if you: - Use **Rewarded Video placements** and want to maximize ARPDAU - Want to test which formats perform best in different contexts - Need to experiment quickly without engineering delays - Want to balance **monetization and player experience** --- ## Ready to Boost Your ARPDAU? 1. Sign up at **loomit.ai** 2. Enable **Interchangeable Ad Formats** in the dashboard 3. Let Loomit automatically choose the best format for each user --- ## Still Serving the Same Ad Format to Every User? It may be time to upgrade your monetization strategy. Let Loomit intelligently switch ad formats so you can focus on building great apps. --- ## About Loomit is built by X3M, a company focused on mobile ad monetization technology. Website: https://loomit.ai Contact: https://loomit.ai/#contact --- *This file is auto-generated. Last updated: 2026-04-07*