InMobi Launched Mobius to Automate Ad Decisions
The new intelligence system uses first-party data and AI to optimize campaign execution across major ad platforms.
Updated on Oct. 6, 2026 in Advertising
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InMobi has introduced Mobius, an automated intelligence layer designed to integrate audience and campaign outcomes across its Exchange, DSP, and Glance platforms. The system processes over 25 trillion predictions daily to streamline ad buying for marketers.
Why it matters
The platform aims to unify disparate media and creative inputs into a single decision-making layer, addressing the complexity of cross-platform advertising. By leveraging first-party data from apps like Glance, it seeks to improve campaign efficiency in a data-constrained market.
The system processes 25 trillion daily predictions across 200 billion advertising opportunities. A recent 12-day Grocery Outlet campaign reached 8.6 million unique shoppers using the platform.
The players
InMobi
A global mobile advertising and discovery platform provider that manages large-scale programmatic exchanges and digital storefronts.
Grocery Outlet
A value-based grocery retailer that utilizes targeted advertising campaigns to drive regional store traffic.
The details
Mobius functions by evaluating advertising opportunities against specific outcomes defined by the advertiser, automatically determining campaign execution. It creates a decision trace that documents the rationale behind each choice, pulling from first-party signals across 70,000 SDK-integrated publisher apps and consumer surveys. This mechanism allows for real-time adjustments to audience and creative strategies based on live engagement data.
Timeline
October 6, 2026: InMobi launched the Mobius intelligence system.
Market Landscape
This launch marks a step forward in the industry-wide transition away from third-party cookies toward reliance on first-party data strategies. The platform extends the capabilities of existing ad exchanges by layering automated decision-making onto established publisher networks.
Marketing operators should evaluate whether their existing ad stacks can integrate with decision-trace tools to improve attribution. Assess the quality of your current first-party data signals to determine if they are sufficient to support automated intelligence layers in future campaigns.
The takeaway
Automation in programmatic advertising is shifting from simple bidding to comprehensive outcome-based decisioning. Operators should monitor their campaign completion rates and engagement metrics to determine if AI-driven platforms provide a measurable lift over traditional manual optimization.
Further reading
For more on the evolving tools changing how brands reach consumers, explore our Advertising section.
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Do you trust that AI-led advertising systems make better choices for your user experience?
