Product Analytics

Export Microsoft Clarity heatmaps, session metrics and engagement analytics

Pull Simple Analytics website traffic and event stats through Composio Rube MCP

Set up and audit GA4, event tracking, UTM tags and tag manager

Choose an attribution model and reconcile conflicting marketing conversion numbers

Set up and audit conversion tracking for GA4, Google Ads and Meta via GTM

Find events and properties that correlate with funnel conversion or drop-off

Audit experiments and feature flags for config issues, staleness and best-practice gaps

Choose how to visualize change between two periods before building a trend

Set exposure criteria and primary and secondary metrics for an experiment

Set experiment variant splits and rollout percentages, and resolve ambiguous ones

Guide experiment creation from hypothesis and rollout through analytics and run time

Debug experiment results when exposures are uneven or a variant gets no traffic

Health check one experiment for zero exposures, sample ratio mismatch and peeking

Explore autocapture clicks, find unique CSS selectors and create actions from them

Check live visitors, top pages, referrers and bot traffic on the Live tab

Identify and exclude bot and crawler traffic from web and product analytics

Resolve a natural-language experiment name to its experiment ID with disambiguation

Diagnose why a product metric dropped, spiked or plateaued with breakdowns and paths

Launch, pause, end, ship, archive or migrate an experiment and check preconditions

Collapse dynamic URL segments like IDs and slugs into readable path aliases

Watch account engagement for churn risk, cliffs, dormancy and champion departures

Watch running experiments for sample ratio mismatch, exposure stalls and mid-run changes

Watch saved funnels, retention and paths for derived-rate regressions

Find reachable features and pages that people barely use and suggest likely causes

Watch web traffic by channel, attribution breakage and landing page bounce and 404s

Run the AI check that suggests path cleaning rules and review what to apply

Turn product metrics into a scorecard with trends and next actions

Analyze Google Analytics traffic, conversions and behavior for fixes

Set up Segment analytics tracking, tracking plans and identity resolution

Set up and audit GA4, Google Tag Manager and event tracking plans

Write testable hypotheses, size experiments and prioritize A/B tests

Define product KPIs, run cohort and retention analysis and track feature adoption

Check A/B test significance, sample size and confidence intervals before shipping

Design cheap experiments and A/B tests to validate assumptions in a product

Design pretotype experiments like landing pages and pre-orders for a new product

Run cohort retention, feature adoption and churn analysis on engagement data

Define a North Star metric and input metrics tested against seven criteria

Generate time-windowed product pulse reports from your configured usage signals

Rank accounts by churn risk from usage decline, support friction and renewal timing

Track new customer accounts against onboarding milestones and nudge stalled ones

Write performance reports with insights and concrete recommendations

Write A/B test readouts with hypothesis, metrics, results and a decision

Pick what to measure and test to de-risk a product or AI idea before building it

Create, read and update Mixpanel dashboards, text cards and report layouts

Define KPI frameworks, metric definitions, targets and guardrails for a product

Collect metric definitions and recent changes from connected sources before analysis

Manage Mixpanel Headless login, accounts, projects and bridge credentials

Install Mixpanel Headless and analysis libraries and verify your credentials

Analyze Mixpanel funnels, retention, cohorts and feature adoption from event data