A connector is the link that lets a reporting or data tool pull information from another platform, for example bringing Google Ads spend, GA4 sessions and Meta Ads results into one Looker Studio dashboard. It handles the sign-in, asks the platform for data and hands it over in a shape the report can use.
How a connector works
Most marketing platforms publish an API, a structured way for other software to request their data. A connector is a ready-made piece of software that talks to that API for you. You sign in to the source account once, grant access, pick the account or property, and the connector creates a data source listing the fields available: dimensions such as campaign and date, and metrics such as cost and conversions. Each time a report loads or refreshes, the connector fetches whatever the charts need.
Looker Studio has two kinds. Google’s own connectors cover Google products, including Google Ads, GA4, Search Console, Google Sheets and BigQuery, and cost nothing. Partner connectors, built by other companies, cover most other platforms, such as Meta Ads, LinkedIn Ads, Microsoft Advertising, CRMs and shop platforms, and most of them are paid subscriptions. At the time of writing (October 2026), Google does not offer its own connector for Meta Ads. Providers such as Supermetrics sell connectors for many platforms under one plan.
The same idea turns up elsewhere. Data warehouses use connectors to load data on a schedule, and automation tools such as Zapier and Make use them to pass a new lead from one system to another.
Why it matters
Without connectors, cross-channel reporting means downloading files from each platform and pasting them into a spreadsheet, which is slow and easy to get wrong. With them, a business owner can open one dashboard on a Monday morning and see Google Ads, Meta and organic search side by side, over the same dates and with the same definitions.
The connector also affects what you can trust. Some cap the date range or fields you can pull, some return data summarised differently from the platform’s own screens, and refresh timing varies, so a dashboard may show yesterday’s figures while the ad platform already shows today’s. When a report and a platform disagree, the connector is one of the first places to look.
For UK businesses there is a data protection angle too. A partner connector usually passes your data through its provider’s servers, which makes that company a processor. Most marketing reports hold aggregated figures, but if a connector pulls CRM contacts or lead form entries, you need a processing agreement and to know where the data is stored.
Common mistakes
- Building on one person’s login. Data sources often run on their owner’s credentials, so when that person leaves or loses access, every chart breaks. Make a shared business account the owner and write down which account it is.
- Hitting quotas. GA4 limits how much data its API serves in a given period, so a report with many charts, or many people opening it at once, can show quota errors. Fewer charts per page, or extracting the data first, usually solves it.
- Adding up different definitions. Conversions from Google Ads, results from Meta and key events from GA4 are different counts. Label each clearly rather than totalling them into one figure.
- Paying for connectors nobody uses because a dashboard was built once and never opened again.
How to act on it
Write down the five or six questions your report must answer and the sources needed to answer them. That tells you which connectors you need and which you can drop. Use Google’s free connectors wherever they cover a source, pick one paid provider rather than several for the rest, and set data credentials on a shared account. Check each dashboard figure against the source platform for one week before anyone makes a decision from it.
Seeing every paid channel against one agreed target is the whole point of performance marketing, and well-chosen connectors are what make that single view possible without hours of copying and pasting.