How an eCommerce Loyalty Platform Cut Time-to-Purchase by 66%

Summary

The platform faced declining engagement and high acquisition costs due to no personalization, limited merchant visibility, and broken post-click tracking. By combining AppsFlyer (deep linking, audience segmentation, attribution) with Braze (orchestration), they built a unified stack. Deep links synchronized into Braze catalogs ensured every offer had correct routing; Braze canvases dynamically assembled personalized emails via Liquid and Connected Content; AppsFlyer Audiences segmented on real in-app behavior (e.g., purchases, inactivity).

This closed the loop between marketing and downstream behavior. Results: install-to-first-purchase time dropped 66%, achieving profitability on most transactions. Push revenue increased 500%; email/content cards lifted 50–80%; unique email CTR up 7.64%.

Operational gains: campaign production fell from ~20 hours to 30 minutes per send, saving 4,500 hours/year (97.5% faster). Merchant brands shown per email grew 360% (17 to over 80). Journey count expanded from 4–5 to 17.

Actionable takeaways: (1) invest in deep linking to preserve user intent; (2) unify attribution with engagement data to build behavioral segments; (3) use dynamic content catalogs to automate personalization at scale; (4) treat analytics and orchestration as one system, not silos. This case demonstrates that when data and execution are aligned, marketing performance systematically improves.

Analyst Note

What's notable here is how cleanly the case study illustrates the convergence of three previously separate capabilities—deep linking, measurement, and lifecycle orchestration—into a single feedback loop. For ad ops teams, the lesson isn't the specific stack; it's the architectural principle: downstream purchase data must flow back into audience segmentation and trigger the next engagement. The 66% reduction in time-to-first-purchase is a reminder that acquisition KPIs don't live in a vacuum; they're increasingly determined by what happens after the click.

The 500% push revenue lift and 50–80% email/content card uplift are outsized, but the direction is consistent with broader trends: generic broadcast sends are dying, and dynamic creative fueled by behavioral signals is becoming table stakes. The 1,500 deep link catalogue synced into Braze's catalogues is worth watching as a pattern—it suggests a world where every offer/message carries routing metadata natively, making the creative and destination inseparable. For UA managers, the key implication is that UA efficiency is a downstream function of personalized lifecycle follow-through.

Platforms that can close this loop—attribution, segmentation, and orchestration—will define the next stage of performance marketing.