Question 1

How do I build a Reddit Ads audience from a BigQuery model?

Accepted Answer

Write the query that defines the audience, map the identifier column, and set a schedule. The model can be a table or custom SQL, so the audience is whatever your query returns, which means it can combine product behaviour, billing state and CRM stage in ways the ad platform has no way to express. Keep the selected columns tight, because every run is a BigQuery query and a wide model scans more bytes without producing a better audience.

Question 2

Can I match Reddit audiences on phone numbers?

Accepted Answer

No. Reddit takes an email address or a mobile advertising ID, and phone is not part of the matching set here, which differs from Meta and TikTok. If your app produces mobile advertising IDs, include that column as well as email, since device identifiers often match better than addresses people gave you years ago. Model both and let the platform use whichever it can resolve.

Question 3

Does raw customer data leave my warehouse when syncing to Reddit?

Accepted Answer

Not in readable form. Polytomic hashes the identifiers before they are transmitted rather than handing Reddit raw values to hash on arrival. You can keep plaintext in the model and it gets hashed on the way out, and if your table already holds hashed values those pass through unchanged. That matters if your privacy review asks what actually crosses the boundary, because the answer is a hash rather than an email address.

Question 4

How do I take people out of a Reddit audience?

Accepted Answer

With a remove sync, driven by its own model. There is an add mode and an explicit remove mode, but no mirror mode here that reconciles membership against your model for you, which Meta and Microsoft both offer. So build a second model listing who should come out, whether that is people who converted or accounts that churned, and run it alongside the add sync. It is one more thing to maintain, and worth knowing before you design the audience.

Question 5

What makes a warehouse built audience better than an uploaded list?

Accepted Answer

It stays true. An uploaded list is accurate on the day it was made and drifts from then on, while a model runs again on every schedule and reflects whatever has changed. It also draws on far more than the ad platform can see, since your data warehouse holds the usage, billing and support history that actually distinguishes a good prospect from a lapsed one. Reverse ETL is just the mechanism that keeps the two in step.

Sync BigQuery to Reddit Ads

Sync BigQuery to Reddit Ads with Polytomic

Email or mobile ID

Hashed on the way out

Conversions supported

Or sync Reddit Ads to BigQuery

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Connect BigQuery in Polytomic

Connect Reddit Ads in Polytomic

Create a sync between BigQuery and Reddit Ads

Map fields and enable the sync

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