retentioneering/retentioneering-tools
Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.
This helps product owners, marketing analysts, and data analysts understand user behavior by analyzing clickstream data or event logs. It takes raw event data (user ID, event, timestamp) and outputs visualizations, user segments, and insights into what drives users to convert or churn. This tool is for anyone looking to improve a product's quality and user retention.
881 stars.
Use this if you need to deeply analyze customer journeys and user paths from your website or app's event data to identify behavioral patterns and improve conversion or retention rates.
Not ideal if you are solely looking for basic funnel analysis or if you don't have access to detailed clickstream or event log data.
Stars
881
Forks
132
Language
Python
License
—
Category
Last pushed
Dec 08, 2025
Commits (30d)
0
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