Insights

Blog: Mobile App Analytics

Product adoption insights, in-app engagement strategies, and mobile UX best practices.

How to A/B Test In-App Campaigns Without Engineering
Every test that requires a sprint costs two to three weeks. Here's how to test format, trigger, and copy without an engineering ticket per variant.
Ritul SinghJul 31, 202622 min read
Scratch Cards in Mobile Apps: Design, Timing, and Conversion Data
Scratch cards work because of the reveal, not the reward. Here's the psychology, design principles, timing data, and how to test variants correctly.
Aditya ChoubeyJul 30, 202623 min read
The ROI of In-App Engagement: Business Case for Leadership
Leadership approves budget based on the revenue case. Here's how to trace the line from campaign CTR to LTV to annual revenue impact.
Amar RawatJul 24, 202622 min read
Mobile App Churn: 6 Behavioural Signals That Predict It 2 Weeks Before
By the time a user uninstalls, the decision was made two weeks ago. Here are the 6 behavioural signals that predict it and how to score them.
Amar RawatJul 15, 202623 min read
Mobile App Retention Rate: What It Is and What's Pulling It Down
90% of app users churn within 30 days. Here's what each retention interval actually measures, and what the benchmarks look like by vertical
Ritul SinghJul 2, 202622 min read
AI-Powered In-App Engagement: Segmentation, Creatives and Campaigns
Rule-based segments don't scale to millions of MAUs. Here's how AI segmentation, creative generation, and predictive triggering change the engagement stack.
Amar RawatJul 1, 202629 min read
Reducing Churn with Behavioral In-App Interventions
Behavioral churn signals appear weeks before users leave. Learn how to spot them early and use in-app interventions to improve retention.
Alwia MazharJun 19, 202619 min read
RFM for Mobile Apps: How to Find Your High-Value, At-Risk, and Recoverable Users
Build an RFM model for mobile apps, translate Monetary for non-transactional products, and act on Champions, At-Risk, and Can't Lose segments.
Ritul SinghJun 11, 202619 min read
Behavioral Segmentation in Practice: From Raw Event Data to Actionable Cohorts
Learn how to transform raw mobile app event data into actionable behavioral cohorts. Explore event taxonomy design, and common pitfalls.
Ritul SinghJun 9, 202627 min read
Segmentation Models for Mobile Apps: Which One You Need (And Why Demographic Is Usually the Wrong Answer)
Learn how demographic, behavioral, lifecycle, and predictive segmentation models compare and why behavior-based segmentation drives better mobile engagement.
Aditya ChoubeyJun 8, 202616 min read
Release Velocity Metrics: What DORA Actually Means for Mobile Teams
Learn how DORA metrics help mobile teams measure release velocity, deployment performance, reliability, and engineering effectiveness.
Ram SutharJun 4, 202620 min read
A/B Testing on Mobile: Why Most Experiments Don't Produce Answers
Learn why many mobile A/B tests fail, how experimentation mistakes distort results, and what teams can do to generate reliable product insights.
Ritul SinghMay 30, 202626 min read
Mobile App Analytics Accuracy: Why Your Data Is Wrong - And How to Fix It
Why mobile analytics data is often wrong - and how to fix it across 5 layers: collection, integrity, semantics, attribution, and interpretation.
Premansh TomarApr 20, 20266 min read
Segmentation in Analytics: Why Averages Hide What Matters
Averages in analytics can mislead product decisions. Learn how segmentation reveals real user behavior and improves retention, onboarding, and engagement.
Premansh TomarApr 17, 20268 min read
Experimentation Analytics: How to Measure What Actually Changed
Learn how to measure real impact in A/B testing with experimentation analytics. Understand causality, avoid false positives, and track long-term user behavior.
Amar RawatApr 16, 202610 min read
Top 10 Mobile App Analytics Tools (And When to Use Each)
Discover the top 10 mobile app analytics tools, when to use each, and why tools alone don’t explain user behavior. Learn how to build a smarter analytics stack.
Ram SutharApr 15, 20268 min read
Mobile Growth Metrics Explained: CAC, LTV, ARPU (And Their Limitations)
Understand CAC, LTV, and ARPU in mobile analytics - what they measure, why they fail, and how to use growth metrics correctly to drive product decisions.
Vivek SinghApr 14, 20268 min read
Cohort Analysis for Mobile Apps: Seeing Patterns Most Teams Miss
Learn how cohort analysis helps mobile apps uncover hidden user behavior, improve retention, and measure feature impact.
Aditya ChoubeyApr 10, 20269 min read
Feature Adoption Analytics: Why Most Features Quietly Fail
Most product features are used once and forgotten. Learn how to measure real feature adoption, avoid misleading metrics, and improve retention.
Amar RawatApr 9, 20267 min read
Retention Curves: The Most Misunderstood Chart in Mobile
Learn how to interpret retention curves, identify misleading signals, and turn user behavior into actionable product insights.
Ram SutharApr 8, 20268 min read
Event Tracking in Mobile Apps: How to Design a Scalable Analytics System
Learn how to design a scalable event tracking system for mobile apps. Avoid tracking debt, schema issues, and unreliable analytics with proven strategies.
Ram SutharApr 7, 20267 min read
Why Most Mobile App Analytics Dashboards Fail to Drive Product Decisions
Most mobile app dashboards show data but fail to drive product decisions. Learn why dashboards fall short and how to turn analytics into actionable insights.
Aditya ChoubeyApr 6, 20268 min read
Mobile App Analytics: The Metrics That Actually Explain User Behavior
Most mobile app analytics track activity but fail to explain real user behavior. Learn why metrics fall short and how to build a value-driven analytics system.
Vivek SinghApr 3, 202611 min read
Mobile App Analytics: What Teams Think They Measure vs What Actually Matters
Learn how to shift from vanity metrics like DAU and retention to activation, Time to Value, and value-driven analytics that actually explain user behavior.
Anupam SinghMar 31, 20269 min read