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Migration Guides

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Why Migrate to Mixpanel?

• Flexible data model - Schema-on-read approach lets you track what matters without upfront configuration
• Powerful analysis - Deep insights into user behavior with funnels, retention, flows, and more
• User-centric analytics - Track individual user journeys, not just aggregated sessions
• Real-time data - See user behavior as it happens
• Easy to implement - Simple SDKs and APIs for quick integration

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Migration Overview

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1. Data Audit

• Key events and properties you currently track
• Most important reports and metrics
• User identification and identity management approach
• Data volume and historical data requirements

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2. Implementation

• Client-side SDKs - JavaScript, iOS, Android, React Native
• Server-side SDKs - Node.js, Python, Ruby, Java, PHP, Go
• CDPs - Segment, mParticle, Rudderstack
• Warehouse Connectors - Snowflake, BigQuery, Redshift, Databricks
• Import API - Direct API integration

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3. Validation

• Test events are arriving with correct properties
• User identification is working properly
• Reports show expected results
• Historical data (if imported) matches expectations

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Platform-Specific Migration Guides

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Google Analytics to Mixpanel

• Mixpanel uses events and properties instead of sessions
• More granular user-level tracking
• Better identity management across devices
• More flexible analysis capabilities

• Use BigQuery export and Warehouse Connectors for historical data
• Implement Mixpanel SDK for forward-looking tracking
• Use Google Tag Manager for quick implementation

• Fresh implementation recommended (event model vs session model)
• Use Mixpanel JavaScript SDK with auto-tracking
• Leverage Marketing KPI templates

• Event data from BigQuery (GA4 only)
• User properties
• Custom dimensions and metrics (mapped to event properties)

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Amplitude to Mixpanel

• Both use event-based data models
• Similar SDK APIs for easy code migration
• Compatible identity management approaches

• User profiles for dimensional data
• Group analytics for B2B use cases
• Lookup tables for data enrichment
• More intuitive UI and report building

1. Free Migration Service (under 15M events)
   • Automated migration via API
   • Exports Amplitude data, transforms, and loads into Mixpanel
   • Includes events and user profiles
2. Warehouse Connectors (larger datasets)
   • Export Amplitude data to your warehouse
   • Use provided SQL transformations
   • Set up recurring sync with Mixpanel
3. SDK Migration
   • Very similar SDK methods (minimal code changes)
   • Find and replace Amplitude calls with Mixpanel equivalents

// Amplitude
amplitudeClient.logEvent('Clicked Button', {'finished_flow': false});
amplitudeClient.setUserId('[email protected]');

// Mixpanel equivalent
mixpanel.track('Clicked Button', {'finished_flow': false});
mixpanel.identify('[email protected]');

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Adobe Analytics to Mixpanel

• Data Model: Fundamental differences mean fresh implementation recommended
• Historical Data: Import to separate project if needed (expect 5% discrepancy)
• Identity Management: Adobe’s visitor ID logic vs Mixpanel’s simplified approach
• Metrics: Adobe’s calculated metrics vs Mixpanel’s on-the-fly analysis

1. Fresh Implementation
   • Use Mixpanel JavaScript SDK with auto page tracking
   • Track key “value moment” events
   • Use Marketing KPI templates
2. CDP Migration
   • Add Mixpanel as destination in Segment/mParticle/Rudderstack
   • Reuse existing CDP tracking
3. Warehouse Migration
   • Transform Adobe data in warehouse to event format
   • Import via Warehouse Connectors or API

• Set up projects with Simplified ID Merge before sending data
• Test with limited data in dev project first
• Expect higher discrepancy range due to model differences

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Historical Data Migration

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Should You Import Historical Data?

• Year-over-year trend analysis
• Maintain historical context
• Complete user journey history

• Time and resource intensive
• Potential data discrepancies due to model differences
• Impact on billing (historical events count toward quota)
• Identity management complexity

• Import 1 year or less of historical data
• Use separate project for historical data if models differ significantly
• Focus on most important events, not all data
• Validate data thoroughly before production use

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Historical Data Import Methods

1. Warehouse Connectors - For data already in Snowflake, BigQuery, Redshift, or Databricks
2. Import API - Programmatic import for custom data sources
3. CDP Replay - Use Segment Replay or similar features
4. Migration Services - Mixpanel’s free migration service (Amplitude, under 15M events)

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Implementation Methods

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Client-Side SDKs

• Web applications
• Mobile apps
• User interaction tracking

• JavaScript
• iOS (Swift)
• Android
• React Native

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Server-Side SDKs

• Business-critical events (purchases, signups)
• Backend process tracking
• Avoiding ad-blockers

• Node.js
• Python
• Ruby
• Java
• PHP
• Go

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Customer Data Platforms

• Segment
• mParticle
• Rudderstack

• Single SDK for multiple destinations
• Easy to add Mixpanel to existing setup
• Built-in data transformation and filtering

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Warehouse Connectors

• Snowflake
• Google BigQuery
• Amazon Redshift
• Databricks

• Native integration with your data warehouse
• Automated recurring syncs
• No-code setup
• Mirror mode for data updates

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Migration Checklist

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Planning Phase

• Audit current tracking implementation
• Identify key events and properties
• Document user identification approach
• Determine historical data requirements
• Choose implementation method
• Create tracking plan for Mixpanel

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Implementation Phase

• Set up dev and production Mixpanel projects
• Choose identity management API (Simplified recommended)
• Implement tracking in dev environment
• Enable debug mode for testing
• Verify events appear in Mixpanel
• Validate event properties and user identification
• Import historical data (if needed)

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Validation Phase

• Test key user flows
• Verify identity management works correctly
• Build essential reports
• Compare results with previous analytics tool
• Train team on Mixpanel
• Deploy to production
• Monitor for issues

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Post-Migration

• Set up data governance (Lexicon)
• Create board templates
• Configure alerts
• Document implementation for team
• Schedule regular data quality checks

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Getting Help

• Google Analytics Migration Package
• Amplitude Migration Package
• Adobe Analytics Migration Package

• Contact Support - Technical questions and implementation help
• Slack Community - Connect with other users
• Professional Services - Dedicated migration assistance

• Enterprise customers: Contact your Customer Success Manager
• All customers: [email protected] or get support

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Related Resources

• Quickstart Guide - Get started with Mixpanel
• Tracking Best Practices - Implement tracking correctly
• Identity Management - Choose the right ID approach
• Data Governance - Maintain data quality
• Implementation Guides - Step-by-step tutorials