Sensor Tower's Consumer Intelligence module provides Power User data that tracks days used per month, offering a unique measure of app stickiness beyond time spent or sessions. This metric serves as a leading indicator for engagement trends. Examples include crypto exchange apps like Coinbase, whose average days used fell 30% year-over-year while sessions only dropped 6%, indicating decreased daily reliance.
For SVOD services, Netflix leads with 11% of users opening the app 15+ days monthly versus competitors. Duolingo's stickiness increased from 16% in Feb'21 to 23% in Feb'23 for 20+ days use, driving revenue growth. Social media apps show Instagram as stickiest with 44% daily users, while dating app Hinge has 10% daily users.
Power User data helps assess feature effectiveness, loyalty, and monetization potential.
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 Churn Analysis tracks new, retained, and resurrected users to understand mobile app churn. Different categories have varying churn rates, e.g., social media apps like Instagram have low churn, while retail apps like Etsy have higher churn. This tool helps optimize user retention strategies.
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.
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.
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.
AppsFlyer MCP connects Claude directly to live attribution data, replacing manual reporting and CSV exports. Gaming teams catch budget anomalies overnight, finance teams compress multi-hour analysis into minutes, and e-commerce teams close the gap between measurement and spend decisions. Setup takes under 60 seconds, enabling real-time queries on channels, cohorts, and ROAS. The key insight is that AI-powered analysis requires live data connections, not stale exports.
Banner ads offer easy integration and visibility but face ad blindness. Native ads blend with app UI for better engagement but require careful design. Both formats need strategic placement and relevant content to monetize effectively.
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.
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