Funnel Analysis & Retention

Understands the conversion funnel concept (acquisition, activation, retention, revenue, referral). Can read funnel reports in analytics tools. Identifies bottlenecks in the funnel.

Understands the conversion funnel concept and its metrics at each stage. Knows how technical factors (page load time, errors) affect conversion. Can interpret basic funnel reports from Amplitude or Mixpanel.

Independently designs and analyzes product funnels. Conducts cohort analysis, segments users by behavior. Formulates data-driven conversion improvement hypotheses.

Independently designs and analyzes conversion funnels considering technical bottlenecks. Links drop-off points with technical metrics — latency, error rates, timeout issues. Builds segmented funnels.

Builds a comprehensive funnel metrics system for the product. Applies advanced analytics: LTV forecasts, churn prediction, segment-specific funnels. Makes strategic decisions based on funnel data.

Builds funnel analytics system for the product, linking conversion rates with technical SLI/SLO. Designs real-time alerting for funnel degradation. Defines optimization strategy considering architectural constraints.

Defines metric standards for the product division. Standardizes funnel analysis approaches. Trains the team on working with data and formulating data-driven hypotheses.

Defines funnel analytics standards for the division, integrating product and engineering metrics. Introduces automated root cause analysis linking conversion drops with deployments. Trains teams on data-driven optimization.

Defines data strategy at the company level. Shapes a culture of data-driven decision making. Makes investment decisions based on unit economics and funnel analysis.

Shapes enterprise approach to funnel analytics considering cross-product user journeys. Defines organization-level conversion metrics and benchmarks. Builds unified analytics platform for all organization's products.