> ## Documentation Index
> Fetch the complete documentation index at: https://mintlify.com/mixpanel/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Migration Guides

> Guides for migrating to Mixpanel from other analytics platforms

# Migration Guides

Comprehensive guides to help you migrate from other analytics platforms to Mixpanel.

## Why Migrate to Mixpanel?

Mixpanel's event-based analytics model provides:

* **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

## Migration Overview

Migrating to Mixpanel typically involves three key steps:

### 1. Data Audit

Before migrating, identify:

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

### 2. Implementation

Choose your tracking method:

* **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

### 3. Validation

Verify your implementation:

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

## Platform-Specific Migration Guides

### Google Analytics to Mixpanel

Migrate from Google Analytics 4 or Universal Analytics to Mixpanel's event-based analytics.

**Key Differences:**

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

**Migration Methods:**

**For GA4:**

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

**For Universal Analytics:**

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

**What You Can Migrate:**

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

[Read the full Google Analytics migration guide →](/docs/migration/google-analytics)

***

### Amplitude to Mixpanel

Migrate from Amplitude to Mixpanel with minimal code changes.

**Key Similarities:**

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

**Key Advantages in Mixpanel:**

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

**Migration Methods:**

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

**Example Code Migration:**

```javascript theme={null}
// Amplitude
amplitudeClient.logEvent('Clicked Button', {'finished_flow': false});
amplitudeClient.setUserId('joe@gmail.com');

// Mixpanel equivalent
mixpanel.track('Clicked Button', {'finished_flow': false});
mixpanel.identify('joe@gmail.com');
```

[Read the full Amplitude migration guide →](/docs/migration/amplitude)

***

### Adobe Analytics to Mixpanel

Migrate from Adobe Analytics' schema-based model to Mixpanel's flexible event-based approach.

**Key Differences:**

| Adobe Analytics                       | Mixpanel                             |
| ------------------------------------- | ------------------------------------ |
| Schema-on-write (pre-defined metrics) | Schema-on-read (flexible properties) |
| "Hits" with eVars                     | Events with properties               |
| Complex visitor ID concatenation      | Simple distinct\_id management       |
| Requires upfront admin configuration  | Send data and query immediately      |

**Migration Considerations:**

* **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

**Migration Methods:**

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

**Important Notes:**

* 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

[Read the full Adobe Analytics migration guide →](/docs/migration/adobe-analytics)

***

## Historical Data Migration

### Should You Import Historical Data?

Consider these factors:

**Pros:**

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

**Cons:**

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

**Best Practices:**

* 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

### 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)

[Learn about import pricing →](/docs/pricing#is-old-event-data-billed-when-imported-to-mixpanel)

***

## Implementation Methods

### Client-Side SDKs

**Best for:**

* Web applications
* Mobile apps
* User interaction tracking

**Available SDKs:**

* [JavaScript](/docs/tracking-methods/sdks/javascript)
* [iOS (Swift)](/docs/tracking-methods/sdks/swift)
* [Android](/docs/tracking-methods/sdks/android)
* [React Native](/docs/tracking-methods/sdks/react-native)

### Server-Side SDKs

**Best for:**

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

**Available SDKs:**

* [Node.js](/docs/tracking-methods/sdks/nodejs)
* [Python](/docs/tracking-methods/sdks/python)
* [Ruby](/docs/tracking-methods/sdks/ruby)
* [Java](/docs/tracking-methods/sdks/java)
* [PHP](/docs/tracking-methods/sdks/php)
* [Go](/docs/tracking-methods/sdks/go)

### Customer Data Platforms

**Supported CDPs:**

* [Segment](https://segment.com/docs/connections/destinations/catalog/actions-mixpanel/)
* [mParticle](https://docs.mparticle.com/integrations/mixpanel/audience/)
* [Rudderstack](https://www.rudderstack.com/docs/destinations/streaming-destinations/mixpanel/)

**Benefits:**

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

### Warehouse Connectors

**Supported warehouses:**

* Snowflake
* Google BigQuery
* Amazon Redshift
* Databricks

**Benefits:**

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

[Learn more about Warehouse Connectors →](/docs/tracking-methods/warehouse-connectors)

***

## Migration Checklist

### 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

### 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)

### 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

### Post-Migration

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

***

## Getting Help

Mixpanel Customer Success and Support have helped thousands of customers migrate from other analytics platforms.

**Enterprise Migration Packages:**

* [Google Analytics Migration Package](https://mxpnl.notion.site/Google-Analytics-Migration-Package-8020a686880a4caab4dd6653b777892e)
* [Amplitude Migration Package](https://mxpnl.notion.site/Amplitude-Migration-Package-264ed076292e41e9b29a2c4f26851e9b)
* [Adobe Analytics Migration Package](https://mxpnl.notion.site/Adobe-Migration-Package-4035f7e2f62f43adb65e34b23ad14d23)

**Support Resources:**

* [Contact Support](https://mixpanel.com/get-support) - Technical questions and implementation help
* [Slack Community](https://community.mixpanel.com/) - Connect with other users
* [Professional Services](https://mixpanel.com/contact-us/) - Dedicated migration assistance

**Questions about migration?** Reach out to our team:

* Enterprise customers: Contact your Customer Success Manager
* All customers: [success@mixpanel.com](mailto:success@mixpanel.com) or [get support](https://mixpanel.com/get-support)

***

## Related Resources

* [Quickstart Guide](/docs/quickstart) - Get started with Mixpanel
* [Tracking Best Practices](/docs/tracking-best-practices) - Implement tracking correctly
* [Identity Management](/docs/tracking-methods/id-management) - Choose the right ID approach
* [Data Governance](/docs/data-governance/lexicon) - Maintain data quality
* [Implementation Guides](/guides/implement) - Step-by-step tutorials