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product growth

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DataFunTalk
DataFunTalk
Dec 8, 2022 · Product Management

Improving New User Retention in a Video App through A/B Testing: A Case Study

This article presents a detailed case study of how a video app team used two rounds of A/B testing with different swipe‑up guide designs to diagnose retention issues, refine the user onboarding experience, and ultimately achieve significant improvements in new‑user retention and engagement metrics.

A/B testingMobile Appdata analysis
0 likes · 10 min read
Improving New User Retention in a Video App through A/B Testing: A Case Study
Qunhe Technology User Experience Design
Qunhe Technology User Experience Design
Dec 1, 2021 · Product Management

How to Accurately Estimate User Scale for Product Growth

This article explains user scale estimation—originating from market sizing—detailing top‑down and bottom‑up methods, their use cases for setting realistic product growth targets, why surveys complement database data, and a step‑by‑step process illustrated with real case study visuals.

bottom‑up estimationmarket sizingproduct growth
0 likes · 7 min read
How to Accurately Estimate User Scale for Product Growth
37 Mobile Game Tech Team
37 Mobile Game Tech Team
Dec 8, 2020 · Product Management

What Is Growth Hacking? Master the AAARR Funnel and Data‑Driven Growth Strategies

This article explains the concept of growth hacking, its origins, the AAARR conversion funnel, key tactics for acquisition, activation, retention, revenue and referral, and how data‑driven experiments and viral marketing can systematically drive product growth.

AAARR FunnelData‑Driven MarketingViral Referral
0 likes · 9 min read
What Is Growth Hacking? Master the AAARR Funnel and Data‑Driven Growth Strategies
Tencent Cloud Developer
Tencent Cloud Developer
Jul 13, 2020 · Big Data

Building MVP: A Lightweight Big Data Analysis System for Product Growth

The article describes how a lightweight big‑data analysis platform called MVP was built from scratch—using a User‑Event‑Config model, HDFS + ClickHouse + Spark, and four modules for metric monitoring, root‑cause alerts, deep growth analysis, and A/B testing—enabling real‑time insights in seconds instead of days and dramatically accelerating product‑growth operations.

AARRR ModelClickHouseHDFS
0 likes · 9 min read
Building MVP: A Lightweight Big Data Analysis System for Product Growth