Meta pipelines
Marketing API pulls with breakdowns, backfills and alerts when a field or limit changes.
Meta Ads
We pull Meta Marketing API data with audience and creative breakdowns and join it to the same spend model as every other channel, keeping Meta's attribution settings visible.
What we pull
Pulled through the platform's API on a schedule, landed in your warehouse, and kept up to date.
Example mapping
The same fields every other platform has, under different names and rules. Here is how we line them up.
| Concept | Meta Ads field | In your model | What we do |
|---|---|---|---|
| Spend | spend | spend_usd | Kept in the ad account currency, then converted |
| Date & time zone | date_start | date + account_tz | Reporting day in the ad account's time zone |
| Currency | account_currency | currency + spend_usd | Per ad account |
| Attribution window | action_values (purchase) | attributed_sales + attribution_window | 7-day click and 1-day view by default |
What we build
Marketing API pulls with breakdowns, backfills and alerts when a field or limit changes.
Meta's 7-day click and 1-day view numbers kept and labeled, next to Shopify sales and your attribution platform.
AI flags rising frequency and falling CTR before ROAS drops.
Shift budget toward what's working, inside limits you approve.
Results
FAQ
Meta credits conversions with its own attribution window (7-day click and 1-day view by default) and includes modeled conversions. Shopify records the orders that actually happened. We keep both side by side and report ROAS on a rule you agree on.
Yes. Snapchat, Pinterest, LinkedIn and Reddit ads all have APIs, and they land in the same model as everything else.
Tell us which accounts you run and where the numbers stop matching. An engineer will tell you what we'd fix first.