ScowttHelp Center

For GA4 admins · Updated Nov 6, 2026

Connect Google Analytics 4 (GA4)

Scowtt uses raw, event-level GA4 data to see what visitors do on your site before they become leads. By default, GA4 doesn't export raw event data, so the connection runs through GA4's native BigQuery export. You turn on the export, Google creates BigQuery tables for your GA4 data, and you share read-only access to that dataset with Scowtt.

How it works: You turn on GA4's BigQuery export and connect the dataset in the Scowtt app, or give Scowtt access to set up the export for you. Scowtt confirms when your GA4 data is flowing.

RouteBest whenWho pays for BigQueryYour team's effort
Share your own exportYou or your agency already run the export, or have a Google Cloud projectYou pay for storage. Scowtt pays for its queriesLow: turn on the export and connect the dataset in the Scowtt app
Let Scowtt host itYou don't have a Google Cloud project, or would rather not manage oneScowtt pays for storage and queriesLowest: add one Scowtt user to your GA4 property

Option 1: Share your own GA4 export

Before you start

  • Owner on the Google Cloud project you'll export to, and the Editor role on your GA4 property.
  • A Google Cloud project with billing enabled.
  • A login for the Scowtt app from your Scowtt team.

If your team or agency already runs the export, skip to step 4 and connect that dataset. There's no need for a second copy.

  1. You: Create or select a Google Cloud project

    Sign in to the Google Cloud Console. Create a new project, or select an existing one, and make sure the BigQuery API is enabled for it. Note the Project ID for later.

    Don't use the free BigQuery sandbox: its tables expire after 60 days, so history would be lost.

  2. You: Create or select a BigQuery dataset

    In that project, create or select the dataset that will receive your GA4 exports. Note the Dataset ID.

  3. You: Turn on the GA4 → BigQuery export

    In Google Analytics, go to Admin, then under Product links select BigQuery links and click Link. Select the Google Cloud project from step 1 and the dataset from step 2, then choose your export options:

    • Daily export: required.
    • Streaming export: recommended if available. Google charges about $0.05 per GB, which is roughly 600,000 events.

    Review and confirm. Google then starts creating tables such as events_YYYYMMDD and events_intraday_YYYYMMDD. Data usually starts appearing within 24 hours. See Google's BigQuery export guide for more detail.

  4. You: Confirm the export configuration

    After linking, check that:

    • The correct web data streams are included.
    • No key events are excluded.
    • The dataset region (US or EU) matches your compliance requirements.

  5. You: Connect the dataset in the Scowtt app

    In the Scowtt app, go to Settings > Integrations. In the Analytics section, click Add Analytics, then click Connect next to BigQuery Datasets. Once it shows as Connected, click Manage, then Add Dataset. Select your project and dataset, then click Connect.

  6. Scowtt: Confirm your data is flowing

    Your Scowtt team checks that the export is populating and confirms once your GA4 data is flowing.

Prefer to grant access in BigQuery instead? Open the dataset in the BigQuery console, then Sharing > Permissions > Add principal. Add your Scowtt access address, which your Scowtt team sends, with the role BigQuery Data Viewer. Then send your Scowtt team your GA4 property ID, Project ID, Dataset ID and region.

Option 2: Let Scowtt host your GA4 export

Scowtt links your GA4 property to a dedicated Google Cloud project it creates for you. Scowtt pays all storage and query costs, and you keep ownership of your GA4 property.

Before you start

  • An admin on your GA4 property who can manage property access.
  • The Scowtt address to add, from your Scowtt team.

  1. You: Give Scowtt access to your property

    In GA4, open Admin > Property access management and add the Scowtt address with the Editor role. Editor access is what lets Scowtt create the BigQuery link.

  2. You: Tell your Scowtt team

    Let them know the access is in place.

  3. Scowtt: Create the BigQuery link

    Scowtt links your property to its project, chooses the data location (US or EU), includes your web and app data streams, and turns on the daily export, plus streaming if useful.

  4. Scowtt: Confirm your data is arriving

    Usually within 24 to 48 hours, in a dataset named analytics_ followed by your property ID. Your Scowtt team confirms once it does.

The link shows under Admin > Product links > BigQuery links in your GA4 property.

Good to know

  • Event limit. Standard GA4 properties export up to 1 million events a day. If you're near that, use the export's event filters to leave out events you don't need, and tell your Scowtt team.
  • Query costs. When you share your own export, Scowtt runs its queries from its own Google Cloud project, so query costs are billed to Scowtt. You pay only for storing the data.
  • Agency-owned exports. If an agency set up your GA4 export, the BigQuery link and project may be theirs. Ask them to connect or share the dataset, or tell your Scowtt team who owns it.
  • Policy error when sharing the dataset? Your organization restricts sharing to its own domain. Ask your Scowtt team for Scowtt's Google Workspace customer ID. Your Google Cloud admin can allow it in the domain restricted sharing policy, or add an exception for this dataset.
  • Not on GA4? If your site uses Adobe Analytics, see Share Adobe Analytics data through a Data Feed.
  • Removing access. Disconnect the dataset under Settings > Integrations in the Scowtt app, or remove the Scowtt address from the dataset. For a Scowtt-hosted export, remove the Scowtt user from your GA4 property, or delete the BigQuery link.

Who does what

Share your own GA4 export

StepWhoWhat changes hands
Create or select a Google Cloud projectYouProject ID (keep it for later)
Create or select a BigQuery datasetYouDataset ID (keep it for later)
Turn on the GA4 → BigQuery exportYou—
Confirm the export configurationYou—
Connect the dataset in the Scowtt appYouYour project and dataset, selected in the app
Confirm your data is flowingScowttConfirmation that GA4 data is flowing

Let Scowtt host your GA4 export

StepWhoWhat changes hands
Give Scowtt access to your propertyYouEditor access for the Scowtt address
Tell your Scowtt teamYouConfirmation that access is in place
Create the BigQuery linkScowtt—
Confirm your data is arrivingScowttConfirmation, usually within 24 to 48 hours
Share data through BigQueryIf your data lives in BigQuery, or can be exported there, you grant Scowtt read-only access to the relevant dataset. Your data stays in your own Google Cloud project; nothing is copied or moved. Scowtt queries the dataset directly on a schedule.Choose how to connect your dataThere are several ways to share CRM and analytics data with Scowtt. Your Scowtt team will help you pick the one that fits your environment best.Data refresh scheduleScowtt works best with fresh data, because predictions reach your ad platforms while campaigns are still optimizing.