User retention and churn engineering github repos
Retention engineering:
Retentioneering is a Python framework and library to assist product analysts and marketing analysts as it makes it easier to process and analyze clickstreams, event streams, trajectories, and event logs. You can segment users, clients (agents), build ML pipelines to predict agent category or probability of target event based on historical data.
- Visualize users behavior
- Users flow and step matrix
- Explore users behavior with transition matrix
- Funnels
- Users behavior clustering
- Compare groups
Examples from BigQuery ML: showing basic feature engineerings
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How to build a recommendation system on e-commerce data using BigQuery ML. (Code Blogpost Video) -
Churn prediction for game developers using Google Analytics 4 (GA4) and BigQuery ML. (Code Blogpost Video) -
How to build customer segmentation through k-means clustering using BigQuery ML. (Code Blogpost)