Question 1

What can I sync from BigQuery into TikTok Ads?

Accepted Answer

Custom audiences and offline conversion events. For audiences, each row your model returns becomes a member, matched on email or phone number. For conversions, you can report events that happened away from TikTok, which is how the platform learns about a sale that completed in your billing system. Both come from ordinary BigQuery models, so the same table can drive targeting and measurement.

Question 2

How large does a TikTok custom audience need to be?

Accepted Answer

TikTok documents and enforces a minimum of 1,000 members in its interface before an audience can be used. In testing the API has accepted far smaller audiences, but design around the documented number rather than the observed one. Two more limits are worth knowing: membership processing carries a 48 hour service level, so a fresh audience is not usable immediately, and an advertiser is capped at 400 audiences.

Question 3

Can I seed a lookalike audience from BigQuery?

Accepted Answer

That is one of the more common reasons to set this up. Model your strongest customers in the data warehouse, whatever strongest means for you, whether that is retention, margin or expansion, then sync that list as a custom audience and let TikTok build a lookalike from it. The quality of the result depends almost entirely on how well the seed list is defined, which is exactly the part your warehouse is better at than the ad platform.

Question 4

Will the TikTok audience shrink when people stop qualifying?

Accepted Answer

Not on its own. Add mode is add only and remove mode takes members out, and both are available, but TikTok does not expose a mirror mode here that reconciles membership against your model automatically. Meta and Microsoft do. So if your audience needs to shrink as well as grow, model the people who should be removed and run a remove sync rather than expecting it to correct itself.

Question 5

Is a warehouse built audience worth the setup over a manual upload?

Accepted Answer

It usually is, because the audiences worth targeting change constantly. A manual upload is right on the day it happens and then drifts, while a model reruns on schedule and reflects whatever has changed since. The bigger gain is definition quality: your best customers, or the people you should stop paying to reach, are worked out from product, billing and CRM data that TikTok never sees. Reverse ETL just keeps the platform in step with that.

Sync BigQuery to TikTok Ads

Sync BigQuery to TikTok Ads with Polytomic

Email and phone hashed

Plan for the size floor

Offline conversions too

Or sync TikTok Ads to BigQuery

Trusted by businesses worldwide

Step-by-step integration guide

Connect BigQuery in Polytomic

Connect TikTok Ads in Polytomic

Create a sync between BigQuery and TikTok Ads

Map fields and enable the sync

Frequently asked questions

The sync and ETL platform that does it all

Powerful data sync

Advanced analytics

Enterprise security

Easy setup

Ready to connect BigQuery with TikTok Ads?