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This is no BS gaming podcast 2.5 gamers – The 4 Generations of Rewarded Ads: Personalization + LiveOps = The Future of Offerwalls

Sharing actionable insights, dropping knowledge from our day-to-day User Acquisition, Game Design, and Ad monetization jobs. We are definitely not discussing the latest industry news, but having so much fun! Let’s not forget this is a 4 am conference discussion vibe, so let’s not take it too seriously.

The Team:

Jakub Remia⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠r- Game design consultant

Felix Braberg⁠ – Ad monetization consultant

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Matej Lančarič – User Acquisition & Creatives consultant

Join our slack channel here: SLACK CHANNEL

Summary

In this special Two and a Half Gamers episode, Matej and Felix sit down with Zino Rost van Tonningen (TyrAds) to deep dive into the history, present, and future of rewarded monetization & offerwalls.

Key insights:

History of rewarded ads:

Early “incent installs” → rank-boosting campaigns (TapJoy, FreeMyApps).

Multi-reward systems (TapJoy, IronSource, Fyber).

Misplay breakthrough: timer-based playtime rewards + personalization.

AdJoe & others scaled Misplay’s model into SDK solutions.

The shift to personalization:

Old offerwalls = one-size-fits-all.

New generation = hyper-personalized rewards per user.

Use of media source data (Google, Unity, AppLovin, etc.) to adapt rewards based on traffic quality.

Publisher perspective:

Offerwalls can contribute 5–30% of game revenue depending on genre.

Biggest impact: retaining non-payers & dolphins by giving them an alternative to IAP.

Integration fights today echo old mediation wars (bonuses, rev guarantees, exclusivity deals).

Best practices for choosing an offerwall partner:

LiveOps environment — events, hot deals, timed offers.

Transparency — explain revenue spikes/drops & media source impact.

Personalization — reward scaling, segmentation by user type & UA source.

UI/UX — aesthetics matter; no more “Windows 95” offerwalls.

Zino’s TyrAds SDK v3.0: 

One-time integration, no updates needed.

Customizable design to match game branding.

Hyper-personalized rewards, dynamic leveling systems.

LiveOps events triggered per user (push, in-app messages).

Takeaway: Rewarded monetization has entered its 4th generation: hyper-personalized, data-driven, and LiveOps-powered.

Chapters

00:00 Introduction to Rewarded User Acquisition
04:30 The Evolution of Rewarded Monetization
07:10 The Shift from Incentivized Installs to Quality KPIs
09:51 Innovations in Rewarded Advertising: Multi-Reward and Playtime Solutions
12:33 The Role of Personalization in Rewarded Monetization
14:56 Challenges in Current Rewarded Solutions
17:48 Evaluating Monetization Solutions: Key Considerations
20:15 The Importance of LiveOps in Engagement
23:06 Transparency and Optimization in Offer Walls
28:34 Differentiating Offer Walls for Monetization
30:44 The Importance of Data in Monetization Solutions
31:28 Personalization and User Engagement in Offer Walls
33:18 SDK Evolution: From Version 1 to Hyper-Personalization
36:14 Leveraging Machine Learning for Offer Wall Optimization
40:14 Engaging Users with LiveOps and Hot Deals
44:01 Dynamic Leveling Systems for Enhanced User Experience
46:58 Criteria for Effective Offer Wall Implementation
48:47 Revenue Impact and Client Engagement