Question 1

Can I target companies rather than people?

Accepted Answer

Yes. Company audiences are a distinct target alongside user audiences, and a company can be matched on company name, LinkedIn page URL, website domain, or email domain. Organisation identifier, stock symbol, industry and location can be supplied to improve matching. Where an account list is already modelled in the lakehouse, that makes it targetable directly rather than requiring an export and manual upload.

Question 2

Can members be removed from an audience?

Accepted Answer

Yes, through an explicit remove mode alongside add. The limitation to plan around is that there is no mirror or replace mode here, so an audience does not automatically converge on your query the way it can on some platforms. Keeping one aligned with a segment usually means running a remove sync for those who dropped out alongside the add sync, rather than expecting a single mode to reconcile the difference.

Question 3

What identifiers work for people?

Accepted Answer

Email address, Google advertising identifier, or a first and last name pair, with optional supporting attributes such as job title, company and a two letter country code that improve match confidence. Emails are normalised and hashed for you before upload, and values arriving already hashed are detected and passed through rather than hashed a second time, which would stop them matching anything.

Question 4

How are rate limits handled?

Accepted Answer

Uploads are batched at up to 5,000 identifiers per request and deliberately throttled below the platform ceiling, at roughly 500 requests a minute for user audiences and 300 for company audiences. A large audience build therefore takes time rather than triggering rejections. Activation latency and minimum usable audience size are platform controlled and vary by account and match rate, so confirm those in your own account.

Question 5

How do I sync Databricks to LinkedIn Ads?

Accepted Answer

Connect Databricks with a SQL warehouse hostname and a token, or an OAuth service principal, and connect LinkedIn Ads by authorizing access to your ad account. Then decide whether you are building a user audience or a company audience, since they are separate targets with different matching fields, and model the segment accordingly. Map the identifiers you have, choose add or remove, and set a schedule.

Connect Databricks with LinkedIn Ads

Connect Databricks and LinkedIn Ads with Polytomic

Company audiences too

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Connect Databricks in Polytomic

Connect LinkedIn Ads in Polytomic

Create a sync between Databricks and LinkedIn Ads

Map fields and enable the sync

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