clusteraudiencekit is an open-source Python package that provides advanced customer segmentation and real-time audience scoring for marketing technology applications. It supports RFM analysis, K-means clustering, streaming updates, and tag-based filtering, enabling data scientists and marketing analysts to efficiently segment users and optimize retention and targeting strategies.
In the AI & ML space, clusteraudiencekit takes a focused approach. It focuses on segmenting and scoring customer audiences for marketing and retention using advanced machine learning techniques. It is built as an open-source project for data scientists and marketing analysts. clusteraudiencekit is open source under the MIT license. The product ships for the command line, and it can be self-hosted.
Behind clusteraudiencekit is Mullassery, and the product first shipped in 2026. Development happens publicly on GitHub with 40 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — clusteraudiencekit occupies a relatively distinct niche. Key capabilities include RFM analysis, K-means clustering, and streaming updates.
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