Import non-Google ad costs into GA4 – the modern way

GA4 Campaign Import can pull campaign cost data directly from BigQuery.

OWOX gets all of your ad platform data into BigQuery reliably – with blending and reusability in mind.

Then you can link your ads cost data to Google Analytics conversion data, so you can analyze your cost per lead (CPL), cost per order (CPO), & return on ad spend (ROAS).

Measure CPL, CPO and ROAS in Google Analytics 4 for Non-Google Ad Platforms
Supports Meta, TikTok & More
Full data ownership
Works with BigQuery
Get AI Insights

What's Changed in 2026?

GA4 no longer needs a custom vendor pipeline for the final hop. GA4 Campaign Data Import already supports connecting to BigQuery.

So the smartest architecture today is:
Ad Platforms → BigQuery (with OWOX) → GA4

Step A: OWOX (the part Google won’t do for you)

Get clean, joinable cost data into BigQuery.

  • Pull cost/clicks/impressions from your Facebook, TikTok, Linkedin, Microsoft & other advertising platforms on a schedule;
  • Normalize fields and naming;
  • Keep a stable table you can reuse everywhere (not just GA4)

OWOX delivers BigQuery tables you can trust and reuse.

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Step B: Google Analytics (the part you can do without us)

Use GA4 Campaign Data Import to bring cost data from BigQuery into Google Analytics.

  • In GA4 Admin → Data Import → Campaign Data, you select BigQuery as the source
  • You map fields like:
    • campaign ID / campaign name
    • cost, clicks, impressions

Important: GA4 does not clean and normalize campaign data for you. It assumes the BigQuery table already contains consistent, joinable, and regularly refreshed data. That's exactly where you need OWOX.

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OWOX is the data asset layer. GA4 is the destination.

If you already have perfect cost tables in BigQuery, you can skip us.
But most teams don’t – because the hard part is:

  • blending multiple platforms data together
  • keeping UTMs consistent
  • matching keys (utm_id)
  • refreshing on a schedule
  • making the data reusable for BI + finance + forecasting

This is where you win: connectors don’t create assets – they create dependencies.

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How it all Works Step-by-Step

Collect ad cost data into BigQuery (OWOX)

Pick your sources (Meta / TikTok / LinkedIn / etc.) → run on schedule → write to BigQuery.

Ensure your campaigns are tagged

GA4 joins imported campaign data to your sessions via campaign parameters (utm_id / utm_campaign).

Create GA4 Campaign Data Import source

In GA4: Admin → Data import → Campaign data → select BigQuery as the import source, map fields, schedule refresh.

Validate in GA4 reports

You’ll see imported campaign performance in the Non-Google campaign report + Advertising workspace views.

Learn more about non-google ad cost import to GA4

Stop renting your marketing data. Own it in BigQuery.

Sse OWOX to create reusable cost datasets once – then feed GA4, Sheets, BI, and AI insights from the same source.