Anonymized analytics case studies
Four investigations where validation changed what the business did next.
Each case connects a business question to evidence, limits, and a concrete next move.
Purchase journey
I combined behavioral analytics with transactional data to understand how customers discovered, purchased, expanded, and renewed a subscription product, then turned the patterns into an experiment backlog.
Test plan framing and simplify low-signal choices before changing the underlying offer.
Organic search ecosystem
I combined search, analytics, and keyword data across product, editorial, support, and commercial journeys to expose acquisition risks and sequence a practical organic-growth roadmap.
Separate recovery from expansion and report branded and generic demand independently.
Retention signals
I analyzed completed subscription cycles to distinguish useful retention signals from noisy engagement metrics, then translated the findings into testable lifecycle-targeting hypotheses.
Stop using early intensity as the primary activation rule.
Customer lifetime value
I challenged the customer and payment model behind a subscription-value analysis, then separated conversion, cash flow, retention, and lifetime value into decisions the business could actually use.
Rebuild the model around a stable customer entity and map renewable records beneath it.
See how behavior, acquisition, retention, and customer value became one validated subscription roadmap.
I can help find the decision hiding inside your tracking, acquisition, product, or customer data.