Connect Microsoft Ads to PostgreSQL

Connect Microsoft Ads and add PostgreSQL as the stored destination. Create a datastream, then save a job that sends the required records to the "advertisers" table.

Select concrete Microsoft Ads fields such as Absolute Top Impression Rate Percent, Absolute Top Impression Share Lost To Budget Percent, Absolute Top Impression Share Lost To Rank Percent, and Account Id. You can rename the chosen columns, preview the result, and write them to PostgreSQL tables such as accounts, advertisers, and campaigns.

Choose how far back the first Microsoft Ads load should go and how much recent data each "advertisers" run should refresh. Catchr splits large backfills into smaller intervals.

For recurring Microsoft Ads loads, assign an eligible partition field to "advertisers". Otherwise Catchr cannot match the refresh window and will append the returned records.

With Microsoft Ads data, a PostgreSQL query can summarize spend, impressions, clicks, and click-through rate by campaign. Join Absolute Top Impression Rate Percent and Absolute Top Impression Share Lost To Budget Percent with shared account or date keys to build a reusable performance model in PostgreSQL.

Yes. Connect an existing PostgreSQL database first. The Catchr job creates and populates the destination table you configure inside that database.

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.