Retention: metrics & case studies

7 articles mapped to the Retention stage. Case studies and guides mapped to the Retention stage of the funnel. Typical metrics: Churn rate, monthly recurring revenue (MRR), and DAU/MAU (daily/monthly active users). Browse articles below, then model the same numbers with Growthegy’s free calculators.

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FAQ

What metrics matter most at the Retention stage?
Churn rate, monthly recurring revenue (MRR), and DAU/MAU (daily/monthly active users).
Why are some articles listed under multiple stages?
Companies often improve more than one funnel stage with the same initiative—for example, AI that improves onboarding (activation) also lifts retention. Each article appears on every stage hub it materially supports.
Where should I start if my funnel is leaking?
Take the Business Strategy Quiz or Full Business Diagnostic, then open the stage hub that matches your weakest metric and use the linked calculators to stress-test fixes before you scale spend.
Case Studies

How Duolingo Turned AI Into a Retention Machine (and Boosted DAU/MAU)

How Duolingo Max and GPT-powered features (Roleplay, Explain My Answer, adaptive paths) lift stickiness, session time, and churn—plus what to copy in your own product.

By Moheb
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How Shopify Used AI to Increase Merchant LTV (and Reduce Churn)

Shopify Magic and merchant-facing AI help stores sell more—when your customers win, platform revenue and retention compound.

By Moheb
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How HubSpot Used AI Across the Full Funnel (From Awareness to Revenue)

Content AI, email personalization, CRM insights, and chatbots mapped to each funnel stage—and what operators should measure at each step.

By Moheb
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How Netflix Uses AI to Dominate Retention Through Hyper-Personalization

Thumbnails, rankings, and layout personalization—why Netflix treats the interface as the product, not a skin on top of a catalog.

By Moheb
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How Amazon Uses AI to Build a Data Moat That Compounds LTV

Recommendations, dynamic pricing, and supply-chain intelligence as a self-reinforcing loop for repeat purchase and long-run customer value.

By Moheb
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How Glossier Used AI-Powered Customer Insights to Tighten PMF (Activation + Retention)

Sentiment and feedback loops that shaped product with users—reducing churn risk before it shows up in cohort curves.

By Moheb
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How Hims & Hers Turned AI Personalization Into a Subscription Revenue Machine

Questionnaires, tailored plans, and automated retention flows that grow MRR, ARPU, and CLV in regulated consumer health.

By Moheb
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