Looker Studio is Google’s free tool for building reports and dashboards that draw live data from sources such as Google Analytics 4, Google Ads, Search Console and Google Sheets into one page you can share. It was called Google Data Studio until Google renamed it in October 2022, and many people still use the old name.
How Looker Studio works
A Looker Studio report is a canvas of charts, and every chart reads from a data source. Each data source uses a connector, the piece that knows how to ask a platform for its numbers. Google’s own connectors for GA4, Google Ads, Search Console, BigQuery and Sheets cost nothing. Partner connectors, built by other companies, bring in Meta Ads, LinkedIn, Microsoft Advertising and CRM systems, usually for a monthly fee.
Looker Studio does not keep its own copy of your data. When someone opens the report or changes a date range, each chart sends a query to the source and the answer is cached for a while, which is why a report can lag a few hours behind the platform itself. You can add calculated fields, such as cost per enquiry worked out from spend and enquiries, and you can join several sources in one chart with a blended data source, matched on a shared field such as date or campaign name.
Sharing works much like a Google Doc: named viewers or editors, a link anyone can open, or a scheduled email with a PDF. Each data source also has a credentials setting. Owner’s credentials let viewers see the data through your access; viewer’s credentials make each person use their own login, so they see only what they are already allowed to see.
At the time of writing (October 2026), Google also sells Looker Studio Pro, which adds team workspaces and lets an organisation, rather than an individual Google account, own its reports. Looker itself is a separate, much larger business intelligence product.
Why it matters
A UK business running Google Ads, Meta Ads and SEO at once otherwise has to log into four or five platforms to answer a simple question such as how many enquiries came in last month and what each one cost. Each platform counts in its own way, so people end up quoting different figures in the same meeting. One report with agreed definitions turns the monthly review into a short conversation about decisions rather than an argument about numbers.
It also forces clarity. Building a useful dashboard means choosing which few figures the business actually steers by, and that choice is worth more than any chart. The limit is the data underneath: if GA4 is counting the wrong events, or most visitors decline analytics cookies on your consent banner, Looker Studio will present those gaps neatly and convincingly.
Common mistakes
- Sharing by link with owner’s credentials. Anyone the link is forwarded to sees everything the data source can reach. If a source is a Google Sheet of CRM leads with names and email addresses, that is personal data exposed under UK GDPR.
- Building in a personal account. A report made in a freelancer’s or former employee’s Google account can disappear or lose access when they leave. Create it from a company-owned account and add others as editors.
- Adding platform conversions together. Summing Google Ads conversions and Meta conversions in one total counts some enquiries twice, because both platforms claim the same people.
- Overloading GA4 pages. The GA4 connector draws on a limited allowance of requests per property, and a page with dozens of charts can show quota errors when several people open it at once.
- Expecting an exact match with GA4. Thresholding, caching and differences between the reporting interface and the data API mean small gaps are normal.
How to act on it
Start with the questions, not the charts. Write down the five to eight figures the business makes decisions on, such as enquiries, cost per enquiry, revenue and organic clicks to service pages, and treat them as your key performance indicators. Put those on the first page and give each channel its own page underneath.
Create the report and its data sources in a Google account the business owns. Restrict sharing to named people, and use viewer’s credentials for anything sensitive. Add a short text box that explains each definition and notes that analytics figures exclude visitors who declined consent. Once a month, check a few totals against the source platforms so you know the report can be trusted.
I set up this kind of reporting as part of performance marketing work, because spend decisions are only as good as the figures they are based on.