The work speaks. Here are the numbers.

Every stat below comes from a real engagement with a real company. No hypotheticals. No projections. No 'up to' qualifiers.

$272K–$505K
annual revenue impact
90%
analytics cost reduction
20% → 35%
activation rate improvement
30–60 days
churn predicted early
118+
decision-ready dashboards
By Engagement

Four engagements. Four sets of specific numbers.

By Capability

What results look like across each growth layer.

Analytics Infrastructure
90% cost reduction · 118+ dashboards · 45 events redesigned · $450/mo compliant stack
Every dashboard tied to a decision someone actually makes. Event tracking rebuilt around activation, retention, and expansion — not vanity metrics.
Experimentation
20% → 35% activation · 4 experiments designed · 3–6 tests running per cycle
Statistically rigorous experiments with pre-registered hypotheses, power analysis, and definitive results. Each test builds on the last.
Churn Prediction
30–60 days early warning · 85+ signals analyzed · 3× enterprise churn reduction
A model trained on client data, updated monthly. CS gets a weekly at-risk list every Monday — with the top 3 behavioral drivers for each account.
Competitive Intelligence
15+ competitors monitored · 12 positioning gaps identified · Weekly Slack alerts
Continuous monitoring with automated alerts. Monthly competitive reports. Sales team equipped with positioning guides for the most common competitive scenarios.

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