> AI agents: this is one page from PostHog's docs. Full index of Markdown docs for LLMs: https://posthog.com/llms.txt

# Linking Google Analytics as a source

Canonical URL: https://posthog.com/docs/data-pipelines/sources/google-analytics

> **Cloud region:** This page uses US Cloud hosts. For an EU Cloud project, use `https://eu.posthog.com` instead of `https://us.posthog.com` or `https://app.posthog.com` (app host for links).

## On this page

- [Prerequisites](#prerequisites)
- [Adding a data source](#adding-a-data-source)
- [Sync modes](#sync-modes)
- [Configuration](#configuration)
- [Supported tables](#supported-tables)
- [Troubleshooting](#troubleshooting)

![](https://res.cloudinary.com/dmukukwp6/image/upload/texture_tan_9608fcca70)

![](https://res.cloudinary.com/dmukukwp6/image/upload/texture_tan_dark_a92b0e022d)

Let AI connect your sources for you

Skip the manual setup — run this in your project and the wizard auto-detects your databases and APIs and connects them to PostHog.

`npx @posthog/wizard warehouse`

![PostHog Wizard hedgehog](https://res.cloudinary.com/dmukukwp6/image/upload/wizard_3f8bb7a240.png)

![](https://res.cloudinary.com/dmukukwp6/image/upload/wizard_3f8bb7a240.png)Let AI connect your sources for you

The Google Analytics connector syncs daily report data from a Google Analytics 4 property – users, sessions, page views, devices, locations, traffic sources, and events – into PostHog.

## Prerequisites

You need a Google account with read access to the GA4 property you want to sync, and the numeric property ID for that property.

## Adding a data source

1.  In PostHog, go to the [Sources tab](https://app.posthog.com/data-management/sources) of the data pipeline section.
2.  Click **\+ New source** and click **Link** next to this source.
3.  Enter your credentials (see [Configuration](#configuration) below) and click **Next**.
4.  Select the tables you want to sync, choose a sync method and frequency, then click **Import**.

Once the syncs are complete, you can start querying this data in PostHog.

When linking Google Analytics, you'll need:

-   **Google Analytics account** – connect a Google account that has read access to the property. PostHog requests the `analytics.readonly` scope when you authorize.
-   **Property ID** – the numeric GA4 property ID, found in Google Analytics under **Admin → Property settings → Property details** (for example, `123456789`).

**Finding your Property ID**

The Property ID is a numeric value like `123456789`. Don't confuse it with:

-   **Measurement ID** (`G-XXXXXXX`) – this is from your GA4 data stream or website tag and won't work here
-   **Universal Analytics ID** (`UA-XXXXXXX`) – this is from legacy Google Analytics (not GA4) and isn't supported

Find the correct Property ID in Google Analytics under **Admin** > **Property settings** > **Property details**.

## Sync modes

Each table can be synced in one of several modes, depending on what the source supports:

-   **Webhook** (when available) – the source pushes changes to PostHog in real time. Fastest freshness, lowest ongoing cost, and the only mode that reliably captures updates and deletes.
-   **Incremental** – only new or updated rows are synced on each run, using a cursor field (such as an `updated_at` timestamp). Cheaper than a full refresh, but deletes aren't captured.
-   **Append only** – new rows are appended using a cursor field; existing rows are never updated. Ideal for immutable, append-only tables like event logs.
-   **Full refresh** – the whole table is reloaded on every sync. Use it when a table has no reliable cursor or when you need deletions reflected.

See [sync methods](https://posthog.com/docs/data-pipelines/sources.md#sync-methods) for a full explanation of how each mode works and how to choose between them.

## Configuration

| Option | Description |
| --- | --- |
| `Google Analytics account` **Type:** oauth **Required:** True |  |
| `Property ID` **Type:** text **Required:** True | The numeric GA4 property ID, found in Google Analytics under Admin → Property settings → Property details. This is not the 'G-XXXXXXX' Measurement ID from your website tag. |
| `Custom reports (optional)` **Type:** textarea **Required:** False | Define your own report tables as a JSON array, on top of the built-in ones. Each report needs a name, GA4 dimensions, and GA4 metrics. PostHog always adds the date dimension and syncs each report daily. GA4 allows up to 9 dimensions (including date) and 10 metrics per report. |
| `Days of history to sync initially (optional)` **Type:** number **Required:** False | How far back the first sync of each report goes. The default is 730 days. If a large property runs out of Google Analytics API quota, set a lower value, for example 90 or 365. |

## Supported tables

| Table | Description | Sync method | Incremental field | Primary key |
| --- | --- | --- | --- | --- |
| `website_overview` | Daily totals for users, sessions, page views, session duration, and bounce rate. | Incremental, Full refresh | date | — |
| `daily_active_users` | 1-day active users per day (DAU). | Incremental, Full refresh | date | — |
| `weekly_active_users` | Rolling 7-day active users per day (WAU). | Incremental, Full refresh | date | — |
| `four_weekly_active_users` | Rolling 28-day active users per day. | Incremental, Full refresh | date | — |
| `devices` | Daily usage broken out by device category, operating system, and browser. | Incremental, Full refresh | date | — |
| `locations` | Daily usage broken out by country, region, and city. | Incremental, Full refresh | date | — |
| `pages` | Daily page performance broken out by host name and page path (including query string). | Incremental, Full refresh | date | — |
| `traffic_sources` | Daily traffic broken out by session source and medium. | Incremental, Full refresh | date | — |
| `user_acquisition` | Daily acquisition broken out by the source and medium that first acquired each user. | Incremental, Full refresh | date | — |
| `landing_pages` | Daily performance of the first page in each session (landing page, including query string). | Incremental, Full refresh | date | — |
| `campaigns` | Daily traffic broken out by session campaign, default channel group, source, and medium. | Incremental, Full refresh | date | — |
| `key_events` | Daily key events and purchase revenue broken out by session source and medium. | Incremental, Full refresh | date | — |
| `events` | Daily event counts broken out by event name. | Incremental, Full refresh | date | — |

## Troubleshooting

If your sync is failing or data looks wrong, see the [Data warehouse troubleshooting guide](https://posthog.com/docs/data-warehouse/troubleshooting.md). If that doesn't help, [contact support](https://us.posthog.com/#panel=support%3Asupport%3Adata_warehouse%3A%3Atrue) – we're happy to help.