Mobavenue’s Tejas Rathod On The Shift From Ad Optimisation To AI Decisioning
Mobavenue, which processes over 1.25 billion data signals daily, is moving from traditional click-based advertising metrics to AI-driven systems that predict intent and optimize for actual business outcomes like KYC completion or purchases. The company's Neural Engine connects audience signals, intent, and campaign outcomes to inform real-time bidding and budget decisions. Founder Tejas Rathod explains how the adtech industry is evolving from AI as an optimization tool to AI as a decisioning layer across the marketing lifecycle.
Key points
- Mobavenue uses AI to predict business outcomes, not just clicks or app downloads.
- Neural Engine learns from downstream campaign behavior to optimize future decisions.
- Platform processes 1.25Bn signals daily and delivered 42.72Mn outcomes in FY26.
- Marks shift from optimization metrics to outcome-based decisioning in adtech.
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