How Vintage Cohort Analysis Transforms Financial Risk Management

This article explains the concept, key terminology, and practical implementation of Vintage (cohort) analysis in financial services, detailing how to build tables and curves, integrate data pipelines, and use the insights to optimize marketing strategies, credit risk assessment, and operational efficiency.

Vintage analysiscohort analysisdata modeling

0 likes · 18 min read

How Vintage Cohort Analysis Transforms Financial Risk Management

vivo Internet Technology

Apr 17, 2024 · Big Data

Retention Analysis Model Practice Based on ClickHouse

The article explains retention analysis models, their importance for user loyalty, outlines offline Hive architecture, then shows how ClickHouse’s retention() function and columnar storage dramatically speed up multi‑day retention calculations, providing SQL examples and practical guidance for product analytics.

Retention AnalysisSQL Optimizationclickhouse

0 likes · 17 min read

Retention Analysis Model Practice Based on ClickHouse

网易UEDC

Mar 11, 2019 · Product Management

Unlocking User Retention: How to Identify and Leverage the Aha Moment

This article explains why products lose users, defines the Aha Moment as the pivotal instant of value discovery, and provides a step‑by‑step framework—including hypothesis formulation, cohort analysis, and optimal action thresholds—to capture that moment and boost retention through data‑driven growth experiments.

Aha Momentcohort analysisuser behavior

0 likes · 13 min read

Unlocking User Retention: How to Identify and Leverage the Aha Moment