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  • August 25, 2026

LoopMe Expands PurchaseLoop

LoopMe, a provider of brand performance, has expanded its PurchaseLoop solution with cost-per-install (CPI) and cost-per-acquisition (CPA) optimization, enabling advertisers to use audience intelligence generated by their own brand campaigns to inform lower-funnel performance advertising.

The expansion of LoopMe's PurchaseLoop solution introduces Performance App, which optimizes toward app installs and in-app actions, and Performance Web, which optimizes toward acquisitions, leads, sign-ups, and return on ad spend (ROAS). Both operate on a cost-per-thousand impressions (CPM) buying model and use advertisers' existing measurement, allowing them to add lower-funnel objectives without adopting a new buying model or measurement stack.

PurchaseLoop already uses consumer data and AI to build audiences, optimize media, and measure advertising outcomes. The new capabilities extend this further down the funnel by combining live brand campaign intelligence, including signals showing which audiences are engaging and moving into consideration, with in-app behavioral data from LoopMe's Chartboost SDK, which has more than 50,000 direct app integrations. These signals feed into 2,400 AI models that retrain against advertisers' specific CPI, CPA and post-install goals.

"PurchaseLoop was always created to help advertisers get more from the intelligence they build around their audiences," said Andy Sophocli, vice president of agency partnerships at LoopMe, in a statement. "By extending into CPI and CPA optimization, we're connecting that intelligence to lower-funnel outcomes and giving advertisers a more joined-up way to manage brand and performance. For existing customers, there's an immediate advantage because that audience understanding already exists; for new customers, it becomes richer with every campaign."

Performance is measured through advertisers' existing mobile measurement partner (MMP) or conversion tracking, with support for all major providers. Performance App can also optimize beyond the initial install toward post-install outcomes including first purchase, first order, and ROAS.

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