01
Customer Segmentation
Behavioral, value-based and predictive segmentations that group customers or accounts in ways the business can act on. We start from the decision the segmentation should drive (acquisition targeting, account prioritization, retention investment, customer success tiering) and build it backwards from there using clustering, RFM or rules-based approaches as the data warrants. The result is sales, marketing and customer success motions targeted at groups that actually behave alike, instead of broad demographic buckets that don't predict outcomes.
02
Cohort & Retention Analysis
Cohort analyses that show how acquisition, engagement and revenue retention curves are evolving over time. We instrument the cohorts that matter (signup month, channel, plan tier, persona, segment), surface the curves leadership cares about and pair them with the leading indicators that explain shifts before they show up in headline numbers. The result is a retention story leadership can act on early, not a post-mortem on last quarter's churn.
03
Funnel Analysis
Find where users drop off in any conversion sequence (signup, activation, onboarding, sales pipeline, checkout) and, more importantly, why. We instrument the funnel end-to-end, segment by entry source and cohort and surface the barriers worth fixing first based on volume, conversion rate and downstream impact. The output is a prioritized roadmap of conversion fixes that shows up in next-quarter results, not just a longer list of things we noticed.
04
Product Analytics
Product analytics in Amplitude, Mixpanel, Heap or warehouse-native via PostHog and dbt that connects feature usage to retention, expansion and revenue. We define the events worth tracking, build the cross-functional dashboards product and growth teams operate from, and run the analyses that explain which features drive activation versus which are noise. The result is a product roadmap informed by usage data instead of opinions, and a growth team that knows where the next compounding lever is.
05
A/B Testing & Experimentation
Statistical rigor on every experiment, from hypothesis design through sample-size and duration calculations to post-test analysis. We make sure tests are powered correctly before they launch and read correctly after, so results hold up when they inform a real decision. A test program leadership trusts, where wins ship and losses kill ideas without endless second-guessing.
06
Sales & Revenue Analytics
Pipeline, win-loss, sales velocity and territory performance analytics for B2B sales and revenue teams. We connect CRM, billing and acquisition data into one view of the funnel from first-touch to closed-won, then surface the leading indicators (stage conversion, cycle time, ACV mix, rep performance) that explain why this quarter is tracking the way it is. The result is a sales leadership function that walks into QBRs with a defensible forecast, not a feeling.
07
Operational Analytics
Reporting and analysis for the functions that run the business: ops, customer success, support, finance, supply chain. We instrument the cycle times, throughput, SLAs and quality metrics each function lives or dies by, then build the dashboards and analyses that explain shifts as they happen. The result is operations leaders managing to leading indicators rather than waiting for the monthly report to tell them something is off.
