AJIO Unlocks 100% ROAS Uplift With InMobi Performance Solutions

The mobile user acquisition strategy began with a high-intent seed audience. InMobi Performance Solutions used lookalike modeling to identify shoppers with similar purchase signals and optimized bids toward purchase events using CPA bidding. Continuous feedback loops of city-level patterns, day-part behaviour, and purchase-event signals sharpened every bid, turning raw scale into precision at the cohort level.

Retargeting won back the highest-LTV ones among those acquired. The campaign reached shoppers across Android and iOS based on deterministic in-app signals: peak shopping windows, basket abandonment, and product dwell behaviour. Android-validated cohorts were used to model iOS audiences, helping AJIO re-engage high-intent users with relevant prompts that reflected their browsing and shopping patterns more accurately.

CTV carried mobile intelligence into household-level buying moments. InMobi Performance Solutions encoded AJIO's high-intent buyer cohorts and seeded sharper lookalikes, identifying households most likely to convert. CTV primed them at the right time, day, and geography, and conversions landed on mobile, keeping the purchase path connected and measurable. While typical CTV cold-starts take months of learning, embedding mobile DSP intelligence into CTV bidding from day 1 helped compressed that timeline to weeks.

Connecting these channels was InMobi Performance Solutions' unified intelligence layer that learned across every signal in real time. It built high-propensity segments from in-app events, session depth, and device signals; ran predictive LTV scoring on CPI/CPA/ROAS bids; and paired creatives to the right cohorts. As CTV came online, completion rates and dwell-time depth fed back into mobile decisions, while install-propensity seeds and deterministic event cohorts flowed forward to CTV, closing the loop across screens.