Question 1

What LinkedIn Ads data can I load into ClickHouse?

Accepted Answer

Accounts, campaign groups, campaigns and creatives on the structural side, and analytics pivoted by campaign, creative, company and other dimensions on the reporting side, covering impressions, clicks, spend, conversions and the video and engagement measures LinkedIn exposes. Take the structural tables even if you only want numbers, since analytics rows carry identifiers that mean nothing until joined to names.

Question 2

What does the load actually do on the server?

Accepted Answer

More than a plain insert, and it is worth knowing if you are watching query logs. Polytomic writes Parquet, uploads it to your cloud storage, then creates a temporary MergeTree staging table and populates it with an insert that selects straight from the storage table function. A second insert moves rows from staging into your target, where the versioning logic applies. The staging table and the files are cleaned up afterwards, so what you are left with is just the target.

Question 3

How long do LinkedIn numbers keep changing?

Accepted Answer

Long enough that a single read is not enough. Analytics are fetched in daily windows, checkpointed by date, then recent days are read again on a lookback and written as newer versions. The default window is two days, and member company reporting forces a minimum of four because those figures settle more slowly. Restatements outside the window will not refresh on their own. Resource entities are read in full each run since they are small.

Question 4

Can I match this to target accounts?

Accepted Answer

Yes, and it is usually the reason to bother. Member company reporting adds a company dimension to the analytics which you can join to your own account list once both are in the same database. Pivots by industry, seniority, job function and company size are available too. LinkedIn applies its own privacy thresholds, so small segments are suppressed at source and will simply be absent rather than appearing as zero.

Question 5

Why load business to business ad data into ClickHouse?

Accepted Answer

Because pipeline attribution needs both the ad data and everything that happened afterwards, and the second half is usually much larger. If ClickHouse already holds your product events or web analytics, ETL into a data warehouse brings campaign spend into the same engine so the join is local rather than cross system. For a purely CRM based attribution model a conventional warehouse would serve equally well.

Sync LinkedIn Ads to ClickHouse

Sync LinkedIn Ads to ClickHouse with Polytomic

Company level reporting

Loaded through staging

Daily analytics windows

Or sync ClickHouse to LinkedIn Ads

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Step-by-step integration guide

Connect LinkedIn Ads in Polytomic

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Create a sync between LinkedIn Ads and ClickHouse

Map fields and enable the sync

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