Member & Market Intelligence

Member Intelligence Platform

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Segmentation by account type tells you what a member has. Behavioral clustering tells you what they'll do next.

What it does

Self-serve member segmentation and behavioral personas that surface who is underserved, who is at risk of leaving, and who is ready for their next product, built on one unified view of member behavior.

What this demonstrates

Designing a member analytics system that goes beyond demographic segmentation into behavioral clustering, churn risk flagging, and next-best-product recommendation logic.

Behavioral segmentation and persona modeling
Churn risk scoring from transactional and engagement data
Recommendation logic for next-best-product targeting

Curious how this was built?

Reach out, I’m happy to walk through the approach and compare notes with other analysts and data folks tackling similar problems.

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