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Amazon Ads PostgreSQL

Connect Amazon Ads to PostgreSQL

Send Amazon Ads ad group (SP), advertised products (SP), campaign (SP) and 17 more report types to PostgreSQL on a schedule. Pick the accounts, choose metrics and dimensions, filter by date and add your own filters. Refresh as often as every 15 minutes.

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PostgreSQL schema amazon_ads
  • ad_group_sp
  • advertised_products_sp
  • campaign_sp
  • placement_sp
  • purchased_product_report_sp
  • 15 more report types
Each Amazon Ads report type lands in its own table. You pick the schema and table names.
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How to connect Amazon Ads and PostgreSQL

7 steps. You can preview the Amazon Ads data in Coupler.io before anything reaches PostgreSQL.

Step 1 of 7

Connect Amazon Ads

Sign in to Amazon Ads and authorize Coupler.io. There's no API key to copy.

Sign in with Amazon Ads

Step 2 of 7

Choose what to export

Pick the Amazon Ads data you want in PostgreSQL.

Sponsored Products (SP) reports

Sponsored Brands (SB) reports

Show 12 more report types Show fewer report types

Sponsored Brands (SB) reports

Sponsored Display (SD) reports

Sponsored Television (ST) reports

AccountsNot setSpecify accounts from where you want to extract data.

Step 3 of 7

Set the report period

Choose the date range the report covers.

Start dateAny dateSpecify the start date of the analytics period.
End dateAny dateSpecify the end date of the analytics period.
Split data by periodsNot setBy default, the report will present a daily breakdown for the specified analytics period.

Step 4 of 7

Metrics

MetricsNot setSelect one or more values for “metrics”, e.g. “Impressions”, “Clicks”, “Cost”, “Purchases - 1 day”, “Purchases - 7 days”.

Step 5 of 7

Fine-tune the export

Optional settings for this Amazon Ads export.

Advanced filtersNot set

Step 6 of 7

Connect PostgreSQL

Enter your PostgreSQL connection details, then the schema and table for the Amazon Ads data.

Hostdb.example.comHostname, IPv4, or IPv6 address of the server
Port5432Default is 5432
DatabaseanalyticsThe target database name
Tablead_group_spCreated automatically on the first run
Show 3 more fields Show fewer fields
UsercouplerUser with CREATE and INSERT privileges
Password••••••••••••The database user's password
Schemaamazon_adsCreated automatically if it doesn't exist

Step 7 of 7

Choose a write mode and schedule

Every run either replaces or appends the data in PostgreSQL. Run it as often as every 15 minutes.

Write mode

Each run deletes the existing rows in ad_group_sp and loads fresh Amazon Ads data.

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Get the most of Amazon Ads to PostgreSQL integration

Gather data icon

Gather data

Export data from numerous apps and sources into a single destination. Blend data from different apps to get a single source of truth.
Understand data icon

Understand data

Preview, transform, sort, and filter data for better clarity in just a few clicks in the Coupler.io interface. Take your data analytics to the next level.
Automate data icon

Automate data

Access data that is always up to date by enabling the automatic data refresh on a schedule as often as every 15 minutes and using triggered automation.
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Act on data

Visualize your data by quickly connecting to data visualization and BI tools. Build insightful dashboards in a breeze and make better decisions.
Amazon Ads to PostgreSQL questions

20 report types, including Ad group (SP), Advertised products (SP), Campaign (SP), Placement (SP) and Purchased product report (SP).

You sign in to Amazon Ads and authorize Coupler.io. There's no API key to copy.

Yes. Set the start date and end date to cover the period you need. Splitting the data by period is available too.

Yes. Pick from 146 metrics.

Yes. Add filter conditions in the source settings to keep only the Amazon Ads records you need.

Yes, if the database user has CREATE privileges. Coupler.io creates the amazon_ads schema and the ad_group_sp table on the first run.

Yes. Append adds new rows to ad_group_sp on each run, while Replace swaps in a fresh copy. With Append, add new Amazon Ads columns to the table yourself before the next run.

On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.

Yes. Add more sources to the same data flow, for example Google Ads or Facebook Ads, and join or append them before the data reaches PostgreSQL.

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