Connect Amazon Ads to PostgreSQL

Connect Amazon 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 Amazon Ads fields such as Sponsored Product Acos Clicks 14d, Sponsored Product Acos Clicks 7d, Add To Cart, and Day of the year. 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 Amazon Ads load should go and how much recent data each "advertisers" run should refresh. Catchr splits large backfills into smaller intervals.

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

With Amazon Ads data, a PostgreSQL query can summarize spend, impressions, clicks, and click-through rate by campaign. Join Sponsored Product Acos Clicks 14d and Sponsored Product Acos Clicks 7d 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.