Looker Studio GA4 Template: What a Google Ads, Meta Ads and CRM Dashboard Needs

Looker Studio is Google's free dashboarding tool and the quickest way to see GA4 and Google Ads in one report. A note on the name: in April 2026 Google gave it back its original name, Data Studio, and the address became datastudio.google.com (lookerstudio.google.com redirects automatically). Reports, data sources and links kept working. We call it Looker Studio here because that is what most people still search for.

This guide covers how to connect GA4 to Looker Studio, which pages a good Looker Studio dashboard template needs, which connectors exist and which limits stop a report from loading.

You won't find a template to download. Every GA4 property has its own key events and campaign naming, and a generic template tends to show numbers that aren't yours. What helps is knowing what it should contain and building it on your own data.

Google's connector catalogue includes Google Analytics, Google Ads, Search Console, Google Sheets, BigQuery, YouTube Analytics, Campaign Manager 360, Display & Video 360 and Search Ads 360. They are free and maintained by Google.

As of October 2026 there is no Google-built connector for a Meta Ads Looker Studio dashboard. There are partner connectors, built by third parties, and new ones join the gallery almost every month. Google warns that community connectors may cost money, and in practice nearly all Meta Ads ones are paid. If one breaks, support comes from its developer, not from Google.

The alternative is to connect Meta to BigQuery rather than to the report. The BigQuery Data Transfer Service has a Facebook Ads connector, generally available since late October 2025 according to the BigQuery release notes, which loads campaign, ad set and ad reports into tables every day. It is billed on the compute it uses, per the Data Transfer Service pricing page. With GA4 exported and Google Ads loaded in the same place, the dashboard reads from one source.

Google has a template gallery inside the tool, under Templates (datastudio.google.com/navigation/templates). Google's own templates cover Google Analytics, Google Ads, Search Console, BigQuery, Google Sheets, YouTube Analytics, Display & Video 360, Search Ads 360 and Apigee.

To use one, open the template and click Use my own data in the top right, then swap the sample data source for yours. Google's templates are in English only, but your data appears in the language it was collected in. And any report shared with you can work as a template if you add /preview to the end of its URL.

They are a good place to learn. They fall short as soon as you need your own key events by name, Meta Ads or the CRM.

Every chart that reads GA4 directly uses tokens from the Google Analytics Data API. According to its documentation, as of October 2026 a standard property has these limits:

• 200,000 tokens per property per day.
• 40,000 tokens per property per hour.
• 14,000 tokens per project per property per hour.
• 10 concurrent requests per property.

Analytics 360 has higher limits, such as 2 million tokens a day. When they run out, charts show messages like “This property has issued too many requests in the last hour” or “Exhausted concurrent requests quota”. It happens most on Monday mornings, when half the company opens the report at once, or in reports with twenty charts per page.

You can check usage: in edit mode, right-click the canvas or a chart and choose “Google Analytics token usage”. Google suggests using owner's credentials, merging duplicate data sources into one, removing charts, extracting the data into a snapshot or exporting GA4 to BigQuery.

Connecting GA4 directly works for a small report that a few people use. Move to BigQuery when:

• Quota errors show up every week.
• You need to join visits with CRM leads and sales.
• You want GA4, Google Ads and Meta Ads in the same chart with the same definitions.
• You need longer history than GA4 keeps, or unsampled event-level data.

The GA4 export is free on standard properties; what you pay for is BigQuery. We cover it in the GA4 BigQuery export and in the GA4 BigQuery export limit.