How to Aggregate Data from Multiple Mixpanel Projects into a Single Report?

Evaldas U. · 2026-06-26T09:36:54.858Z

We have multiple apps where each is tracked with separate Mixpanel project. How can I pull data into single report from all of our apps (e.g. daily active users, mrr)? Is cross-product analytics feature needed for this?

How to Aggregate Data from Multiple Mixpanel Projects into a Single Report? | Mixpanel Community

3 comments

· Sorted by Oldest

kapa.ai
APP
·
(edited)·
Combining Data from Multiple Mixpanel Projects
There are a few approaches depending on your goals:
Option 1: Consolidate into a Single Project (Recommended)
The most straightforward way to get unified reports is to merge your separate projects into one. This involves:
1.
Stopping data ingestion to the old projects
2.
Redirecting all data to a new consolidated project
3.
Exporting historical data via the raw data export API and importing it into the new project
[Project Migration] [Merge Projects] Once consolidated, you can differentiate app-specific behavior using properties like Operating System or custom app identifiers, rather than needing separate projects. [Multiple Production Projects]
Option 2: Use Data Views (Without Merging)
If you consolidate into one project but want each team to see only their app's data, Data Views let you create scoped "mini-projects" within a single Mixpanel project — e.g., one Data View per app. This avoids clutter while enabling cross-app analysis when needed. [Data Views]
Option 3: Use the Mixpanel MCP Server (Cross-Project Queries via AI)
If you want to keep separate projects but still get compiled answers across them, Mixpanel's MCP server allows an AI client to query multiple projects in a single prompt. However, this doesn't produce a native Mixpanel report — it's more of an AI-assisted synthesis. [Mixpanel MCP]
Regarding "Cross-Product Analytics"
The knowledge sources don't explicitly mention a feature called "cross-product analytics" as a standalone product. The closest relevant features are Group Analytics (for B2B account-level analysis, available as an add-on on Growth/Enterprise plans) and Data Views for governance across teams/products. [Group Analytics]
For MRR Specifically
MRR tracking via Revenue Analytics requires a warehouse connector integration and works within a single project. If MRR data lives in your warehouse, you can sync it into a consolidated Mixpanel project. [Revenue Analytics]
Bottom line: The cleanest path to unified DAU/MRR reporting across all apps is to consolidate your projects into one, using Data Views to maintain per-app scoping where needed.
ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.
Evaldas U.
·
·
kapa.ai Pricing page mentions "Cross-product analytics" I was referring to.
kapa.ai
APP
·
(edited)·
I'm sorry, but the knowledge sources provided do not contain enough information about the Cross-product analytics feature mentioned on Mixpanel's pricing page to give you a confident, accurate answer about what it includes or whether it would solve your multi-project reporting needs. I'd recommend:
Visiting the Mixpanel pricing page directly to review the feature description
Contacting Mixpanel sales for a detailed explanation of what Cross-product analytics covers and whether it fits your use case of pulling DAU/MRR data across multiple app projects into a single report
ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.

kapa.ai
APP
·
(edited)·
Combining Data from Multiple Mixpanel Projects
There are a few approaches depending on your goals:
Option 1: Consolidate into a Single Project (Recommended)
The most straightforward way to get unified reports is to merge your separate projects into one. This involves:
1.
Stopping data ingestion to the old projects
2.
Redirecting all data to a new consolidated project
3.
Exporting historical data via the raw data export API and importing it into the new project
[Project Migration] [Merge Projects] Once consolidated, you can differentiate app-specific behavior using properties like Operating System or custom app identifiers, rather than needing separate projects. [Multiple Production Projects]
Option 2: Use Data Views (Without Merging)
If you consolidate into one project but want each team to see only their app's data, Data Views let you create scoped "mini-projects" within a single Mixpanel project — e.g., one Data View per app. This avoids clutter while enabling cross-app analysis when needed. [Data Views]
Option 3: Use the Mixpanel MCP Server (Cross-Project Queries via AI)
If you want to keep separate projects but still get compiled answers across them, Mixpanel's MCP server allows an AI client to query multiple projects in a single prompt. However, this doesn't produce a native Mixpanel report — it's more of an AI-assisted synthesis. [Mixpanel MCP]
Regarding "Cross-Product Analytics"
The knowledge sources don't explicitly mention a feature called "cross-product analytics" as a standalone product. The closest relevant features are Group Analytics (for B2B account-level analysis, available as an add-on on Growth/Enterprise plans) and Data Views for governance across teams/products. [Group Analytics]
For MRR Specifically
MRR tracking via Revenue Analytics requires a warehouse connector integration and works within a single project. If MRR data lives in your warehouse, you can sync it into a consolidated Mixpanel project. [Revenue Analytics]
Bottom line: The cleanest path to unified DAU/MRR reporting across all apps is to consolidate your projects into one, using Data Views to maintain per-app scoping where needed.
ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.
Evaldas U.
·
·
kapa.ai Pricing page mentions "Cross-product analytics" I was referring to.
kapa.ai
APP
·
(edited)·
I'm sorry, but the knowledge sources provided do not contain enough information about the Cross-product analytics feature mentioned on Mixpanel's pricing page to give you a confident, accurate answer about what it includes or whether it would solve your multi-project reporting needs. I'd recommend:
Visiting the Mixpanel pricing page directly to review the feature description
Contacting Mixpanel sales for a detailed explanation of what Cross-product analytics covers and whether it fits your use case of pulling DAU/MRR data across multiple app projects into a single report
ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.

3 comments

Combining Data from Multiple Mixpanel Projects

Option 1: Consolidate into a Single Project (Recommended)

Option 2: Use Data Views (Without Merging)

Option 3: Use the Mixpanel MCP Server (Cross-Project Queries via AI)

Regarding "Cross-Product Analytics"

For MRR Specifically