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Revenue intelligence for every ad impression

Orivia uses machine learning to optimize ad price floors for mobile games and apps, with ad unit selection where mediation limits floor control. Measure incremental revenue against your current setup.

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How Orivia worksRequest signals, impressions, revenue and optional publisher-provided context flow into the Orivia ML engine, which sets a dynamic floor or, where floor control is limited, selects an ad unit before the mediation call.CONTEXTRequest signalsImpressionsRevenueOptional contextpublisher-providedOriviaML engineDynamicfloorAd unitselectionMediationHow Orivia worksRequest signals, impressions, revenue and optional publisher-provided context flow into the Orivia ML engine, which sets a dynamic floor or, where floor control is limited, selects an ad unit before the mediation call.CONTEXTRequestsignalsImpressionsRevenueOptionalcontextOriviaML engineDynamic floorAd unit selectionMediation
Conceptual workflow

  • Precision

    Optimize each impression.

    Use user and impression context to adjust ad price floors, with ad unit selection when direct floor control is limited.

  • Adaptation

    Learn from live outcomes.

    Reinforcement learning adapts optimization decisions to market outcomes, with models tailored to each title and player journey.

  • Proof

    Measure incremental revenue.

    Compare Orivia with your current setup using a control group. Evaluate incremental ARPDAU while monitoring fill rate and stability.

How it works

Observe. Optimize. Learn.

  1. 01

    Observe

    Request, impression and revenue signals.

  2. 02

    Optimize

    The floor or ad unit.

  3. 03

    Learn

    From controlled traffic.

Production support for AppLovin MAX.Other mediation platforms require validation or technical review.

Platform compatibility

Team

The team behind Orivia.

Meet the team

  • Serhii Romanenko

    Co-founder and CEO

  • Dmytro Sakovych

    Co-founder and CTO

  • Joy Xi

    VP of Growth

Find the revenue already inside your traffic.

Start with one app and controlled traffic. Measure the results before expanding.

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