Case Study: Dinda achieves 60% more app revenue and a 25% direct push open rate with Airship

A Airship Case Study

Preview of the Dinda Case Study

Dinda Grows Revenue With Segmented Push Notifications, A/B Testing & Predictive Churn

Dinda is a Brazilian e-commerce brand for children’s fashions that shifted rapidly to mobile and set out to grow its active app user base, boost app revenue, and identify at-risk users for re-engagement. The main challenge was activating the app audience—both acquiring new users and retaining existing ones—while increasing app opens and in-app purchases.

Using Airship, Dinda deployed segmented, deep‑linked push notifications, an automated welcome series, and daily A/B tests to optimize messaging, and used predictive churn analytics to identify and re-message at‑risk users. The approach drove stronger engagement and revenue: push notifications achieved a 25% direct open rate and, over the year measured, app purchases generated 60% more revenue than desktop, while predictive campaigns lowered churn among medium‑ and high‑risk users.


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Dinda

Isadora Pirágine

Marketing Analyst


Airship

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