Sensor Tower's Churn Analysis helps mobile app developers and publishers understand user loyalty by breaking down monthly active users into new, retained, and resurrected users. Churn rates vary by category: social media apps like Instagram have low single-digit churn, while retail apps like Etsy average 20-40% churn. BNPL apps like Affirm and Klarna have high churn.
The tool highlights that high new user growth may signal retention issues if MAU growth is slow. Retained users are crucial for revenue and advertiser value, with Facebook and Instagram retaining over 94% of users. Resurrected users, re-engaging after inactivity, are important for health and monetization, as seen in grocery delivery apps like Instacart.
This analysis enables data-driven decisions to combat churn and drive growth.
Subscription apps like Netflix and Spotify charge recurring fees for premium features. They offer predictable revenue, higher user loyalty, and better App Store rankings. Key models include flat-rate, tiered, and per-user pricing. Success requires value-driven pricing, free trials, and transparent practices.
Sensor Tower's Power User data measures days used per month, revealing app stickiness. The metric shows crypto apps' declining engagement, Netflix's SVOD loyalty, Duolingo's growing stickiness, and Instagram's daily dominance, offering insights into user behavior and monetization.
Email, SMS, and push are high-intent channels, but a structural gap between click and in-app action causes massive drop-off. CTRs of 30-40% often yield only 1-3% in-app conversion. The root cause is ESP link wrapping, which breaks deep link context and attribution. Fixing the handoff through proper deep linking can double purchase rates and unlock channel performance. Brands must treat the link as a continuation layer, not a redirect, and ensure context survives the transition.
Sensor Tower data aligns with Uber's 1Q23 earnings, showing 14% MAU growth, increased engagement, and all-time highs for Uber Driver app in international markets. Lyft's flat driver growth highlights its lack of global reach.
Analysis of 2022 World Cup mobile data reveals that the tournament's largest engagement window occurs early, with sports entertainment installs spiking 189% and sports news 204% on November 22. Engagement revolves around national team matches, with significant spikes from non-participating markets like China (+1,294% sports entertainment installs). For 2026, brands must adapt in real-time to shifting attention across matches and regions. Adjust's AI-powered attribution and analytics provide the visibility needed to capitalize on these global events.
Brand strategy is a top priority as marketers shift from performance to brand advertising due to privacy and economic challenges. Social media has limitations, but programmatic app-to-web offers broader reach, brand safety, and privacy-friendly solutions.
App monetization can balance IAP and IAA through strategic integration. Rewarded ads complement IAPs without cannibalizing revenue if capped and tested. Key metrics: ARPDAU (holistic revenue view) and retention. Segment users: show ads to non-purchasers, avoid intrusive formats for high-LTV users. Test ad strategies on new users first. Use ARPDAU to evaluate overall performance, not just CPM.
App-to-web is a privacy-friendly ad solution driving in-app users to mobile web pages using ML models and first-party pixels, avoiding app store fees and data limitations while optimizing for revenue events.
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