Clearing 2026: why UK universities need recruitment intelligence
UK universities face a deficit crisis. Student Recruitment Intelligence can transform Clearing from chaos to precision.

The BigQuery Data Transfer Service is a tool the GCP provides to automate data movement into BigQuery on a scheduled, managed basis without having to write any custom code. The supported data sources include YouTube, Google Play, Google Ads and many other Google and 3rd party tools.
To use the BigQuery Data Transfer Service, first of all, you need to activate the BigQuery API. To do this, go to “APIs & Services” from the GCP side menu and select “Library”.

Once you are in the Library, search for “BigQuery API” and check if the API is enabled. If it is enabled, you can go straight to the next step. If the API is not enabled, then click “Enable”.

To use the API, you’ll need to create the credentials. So, from APIs & Services, click “Credentials”.
Once you’re on the Credentials page, click on the top menu bar on “Create Credentials”, and then click on “Help me choose”.

In this case, we are going to select “BigQuery APIs”, fill out the form (like the one below), and click done.

After you click done, you’ll need to create the name and the ID of the service account and click done.

The next step is to enable the BigQuery Data Transfer API, so we go back to the GCP sidebar menu and click on “APIs & Services”. Go to Library and search for “BigQuery Data Transfer APIs”.
Check if the API is enabled. If it is enabled, you can go straight to the next step. If the API is not enabled, then click “Enable”.

Next, you need to go to “Data transfers” and click on “Create Transfer”.

You’ll need to explore the different data sources and (in this case) select “Google Ads (formerly AdWords)”.

You’ll be asked to create the name of your transfer (it needs to be in a snake case format).
Pick the schedule options depending on your preference.
Add the Google Ads customer/account ID.
You can also set a Refresh Window (the default is the last 7 days, but I suggest 30 days).
Click “Save”.

UK universities face a deficit crisis. Student Recruitment Intelligence can transform Clearing from chaos to precision.
At the start of the year, if you’d asked us whether Measurelab would be standing shoulder to shoulder with Europe’s biggest consultancies by September, we would've been surprised. Not because we don't believe in ourselves, but because these things feel so distant - until suddenly, they’re not. So, here it is: we’ve been awarded the Marketing Analytics Services Partner Specialisation in Google Cloud Partner Advantage. What’s the big deal? In Google’s own words (with the obligatory Zs): “Spec
BigQuery just got a major upgrade, you can now plug directly into Vertex AI using the new AI.GENERATE function. Translation: your analytics data and generative AI are now best friends, and they’re hanging out right inside SQL. That opens up a whole world of new analysis options for GA4 data, but it also raises some questions: * How do you actually set it up? * What’s it good for (and when should you avoid it)? * Why would you batch the query? Let’s walk through it step by step. Step 1: H