# Linking Google Analytics as a source - Docs

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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`

[Learn more](/wizard.md)

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**Alpha release**

This source is currently in **alpha**. The interface and available tables may change.

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](/docs/cdp/sources.md#sync-methods) for a full explanation of how each mode works and how to choose between them.

## Configuration

| Option | Description |
| --- | --- |
| Google Analytics accountType: oauthRequired: True |
| Property IDType: textRequired: True | The numeric GA4 property ID, found in Google Analytics under Admin → Property settings → Property details. |

## 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 | — |
| 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](/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.

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