# Sync Revo with your Mixpanel for product analytics and user insights.

## Intro

## What It Is

Revo connects to your Mixpanel account to read events, user behavior, funnels, and analytics, then transforms your product analytics into searchable, actionable intelligence that powers data-driven product decisions.

## What It Unlocks

- **Search your entire analytics data** using natural language across all events, user properties, cohorts, funnels, and retention reports
- **Auto-sync product metrics** with Revo's intelligence modules, feature adoption rates, user engagement patterns, conversion funnels, and behavior trends
- **Cross-reference Mixpanel data** with Jira issues, user feedback, product roadmaps, support tickets, and engineering releases
- **Trigger workflows** based on Mixpanel events like conversion drops, feature adoption thresholds, user milestones, or anomaly detection
- **Auto-generate insights** from behavioral data, detect usage patterns, surface drop-off points, and validate product hypotheses

## How to Use It for Emails

When drafting email replies, Revo automatically pulls relevant Mixpanel context:

- **"How's Feature X performing?"** → Revo queries Mixpanel for adoption rates, active users, and engagement trends since launch
- **"Why is conversion dropping?"** → Revo analyzes funnel data, identifies drop-off stages, and highlights recent changes or cohort differences
- **Includes source links** to Mixpanel reports and dashboards so recipients can verify data and explore further

**Result:** Emails grounded in real user behavior, no more "I think adoption looks good" or waiting for the analytics team.

## How to Use It from Chat

Ask questions directly in Revo:

- "What's the activation rate for new users this month?"
- "Show me top 10 features by daily active users"
- "Which cohort has the highest retention rate?"

Revo searches across Mixpanel events and reports, delivering answers with metric trends and visualization links.

## How to Use It in Workflows

**Trigger workflows FROM Mixpanel:**

- **Feature adoption below 20% after 2 weeks** → Query usage by segment → Cross-reference with user feedback → Create issue in Jira → Notify #product → "Feature Y adoption at 12%, expected 40%, investigate onboarding friction"
- **Conversion funnel drops 15%+** → Analyze drop-off stage and affected cohorts → Pull related error logs from Datadog → Alert #engineering → "Checkout conversion down 18% since yesterday's deploy"
- **User reaches engagement milestone** → Trigger celebration email → Update CRM with power-user flag → Notify account team → "Customer X hit 1,000 actions, prime upsell candidate"

**Update other systems FROM Mixpanel:**

- **Weekly engagement scores calculated** → Query user activity metrics → Update customer health in CRM → Flag disengaged accounts → Notify CS team → "5 customers dropped below activity threshold this week"
- **Feature usage data refreshed** → Sync adoption metrics to Product Intelligence module → Update roadmap priorities based on usage trends → Post summary to #product

**Generate insights FROM Mixpanel:**

- **Weekly product metrics** → Query DAU, WAU, retention, feature adoption → Generate dashboard → Post to #product → "DAU up 8%, onboarding completion down 5%, Feature Z adoption at 42%"
- **Cohort behavior analysis** → Compare enterprise vs. SMB usage patterns → Identify feature gaps by segment → Share with product team → "Enterprise users engage 3x more with integrations, SMBs prefer native workflows"