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Connect Amazon DSP to Azure SQL

Connect Amazon DSP to Azure SQL and export selected accounts, metrics, and dimensions to your Azure SQL project.

Configure the historical window, destination table, and recurring schedule without maintaining a Amazon DSP API pipeline.

Amazon DSP export job

First sync scheduled

Amazon DSP Selected accounts

Configured job

Azure SQL Destination table

Account Amazon DSP · Client group A

Table daily_dump

Initial import Configured historical window

Schedule Daily · 06:00 UTC

Fields Selected metrics + dimensions

Partition date · eligible field

Illustrative job · configure values for your account Export ready

Used by the world's leading companies

Export Amazon DSP data to Azure SQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Amazon DSP data in Azure SQL

Bring all your Amazon DSP data into your warehouse and make it available for analytics, machine learning, and internal applications.

Source

Amazon DSP Advertising data

INaccounts PMadvertisers CUcampaigns BLad_groups

Catchr pipeline IN PM CU Extract · normalize · load

Azure SQL catchr_data.Amazon DSP_raw

TableScopeStatus

accountsSelectedReady

advertisersSelectedReady

campaignsSelectedReady

ad_groupsSelectedReady

Data freshness

Keep your AzureSQL tables up to date

Automatically sync new data from Amazon DSP so every dashboard, model, and report works with fresh information.

Amazon DSPConfigured account

AzureSQLAmazon DSP Metrics_raw

Rows processed Scheduled loads Example 24h

00:0006:0012:0018:00

Latest run Completed 06:00 UTC

New rows +428 4 tables updated

Next run Scheduled 12:00 UTC

accounts326 updated advertisers102 appended Warehouse up to date

Analysis

Unify Amazon DSP with the rest of your business data

Join marketing, finance, CRM, and product data inside the same warehouse.

Business data model

model / business_360

Warehouse inputs

QuickBooks accounts · 3P Fees Advertising

Marketingcampaign · spend · UTM Ads

CRMcontact_id · lifecycle Sales

Productaccount_id · event_date Usage

Match keys customer · date · campaign

AzureSQL model business_360 Unified

FieldFrom

customer_idCRM

3P Feesaccounts

ad_spendMarketing

lifecycle_stageCRM

active_usersProduct

Ready for SQL 5 business fields

Amazon DSP metrics and dimensions available in Azure SQL

Access 448 metrics and 94 dimensions from Amazon DSP connectors including Total ROAS, Combined Product Sales, Purchases, New To Brand Purchases, E CPC, Amazon Date Source, Advertiser Name, Brand Name, Line Item Name, Creative Name, Placement, Supply Source, Targeting Method and many more...

448

Metrics availables

Dimensions availables

View all Amazon DSP Metrics metrics and dimensions

Connect Amazon DSP to Azure SQL in minutes

Move your data from Amazon DSP to Azure SQL with a simple setup. Once connected, Catchr handles the ingestion automatically so your warehouse stays up to date without manual work.

Step one

Connect your Amazon DSP account

Authenticate your Amazon DSP account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Connect now

Client A · Connected sources

5 sources ready

Amazon DSP 3 advertising accounts Connected

Google Ads 2 advertising accounts Connected

Google Analytics 4 1 web property Connected

HubSpot 1 CRM portal Connected

Step two

Choose the AzureSQL destination

Enter the Azure SQL server host, database, and login details. Catchr verifies the destination before any marketing data is exported.

Destination / Azure SQL Required fields

Host Required

catchr-reporting.database.windows.net

Username Required

catchr_loader

Password Required

••••••••••••

Database Required

marketing_reporting

Step three

Keep your AzureSQL tables updated

Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your AzureSQL table.

Export job / Azure SQL Example

Schema Destination

dbo

Table Per job

meta_ads_daily

Recurring schedule Choose a cadence

Every 6 hours

Daily · 06:00

Weekly · Mon

Export readySelected fields · configured history

Every 6 hours

Review 30-day Amazon DSP campaign delivery in SQL.

This example summarizes spend, impressions, clicks, and click-through rate by campaign.

30-day window

SELECT
  campaign_name,
  SUM(spend) AS spend,
  SUM(impressions) AS impressions,
  SUM(clicks) AS clicks,
  SAFE_DIVIDE(
    SUM(clicks),
    SUM(impressions)
  ) AS ctr
FROM `your_project.marketing_raw.amazon_dsp_daily`
WHERE date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY campaign_name
ORDER BY spend DESC;

Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Connect more table to your Amazon DSP data

Open the dedicated route for each platform. Its field catalog, reporting grain, historical constraints, and warehouse use cases should be specific to that source.

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Before you schedule the job.

Answers about AzureSQL setup, available source data, schedules, table updates, and SQL use cases.

Can Catchr send Amazon DSP records directly to Azure SQL?

Add Amazon DSP in Sources and connect the existing Azure SQL database in Storage. A datastream defines the route, while the job loads the chosen fields into "ad groups".

How much control do I have over Amazon DSP fields in Azure SQL?

Select concrete Amazon DSP fields such as 3P Fees, 3P Pre Bid Fee, 3P Pre Bid Fee Double Verify, and Normalized Week of the year. You can rename the chosen columns, preview the result, and write them to Azure SQL tables such as accounts, advertisers, and campaigns.

How should I configure recurring Amazon DSP imports in Azure SQL?

Define the first Amazon DSP fetch, run frequency, and lookback window in the "ad groups" job. Each scheduled run replaces data inside the configured period.

How do I prevent duplicate Amazon DSP rows in Azure SQL?

Use a supported date field to partition "ad groups". Recurring Amazon DSP runs can then update the selected window instead of adding another copy of the same period.

How can a team use Amazon DSP data after it reaches Azure SQL?

With Amazon DSP data, an Azure SQL query can summarize spend, impressions, clicks, and click-through rate by campaign. Model 3P Fees and 3P Pre Bid Fee in SQL, then expose the result to dashboards, internal tools, or recurring client reports.

Does my Azure SQL database need to exist before I connect it?

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

Can I load several marketing sources into the same Azure SQL 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.

Still have a question ?

Our teams is always here to responds to any question you could have about our data connector.

Used by the world's leading companies

Export Amazon DSP data to Azure SQL

Centralize Amazon DSP data in Azure SQL

Keep your AzureSQL tables up to date

Unify Amazon DSP with the rest of your business data

Amazon DSP metrics and dimensions available in Azure SQL

Connect Amazon DSP to Azure SQL in minutes

Connect your Amazon DSP account

Choose the AzureSQL destination

Keep your AzureSQL tables updated

Review 30-day Amazon DSP campaign delivery in SQL.

Connect more table to your Amazon DSP data

Xero

PostHog

Mixpanel

Impact.com

ChatGPT Ads

Google Ad Manager

Comment Sold

Amplitude

Amazon Vendor Central

Airtable

Adalyser

QuickBooks

MailerLite

JSON / CSV / XML

Firebase Realtime Database

ChatGPT

Braze

StackAdapt

Amazon DSP

AdsWizz

TikTok Shop

The Trade Desk

Outbrain DSP

Google Display & Video 360

Tiktok GMV

Chartmogul

Profitwell

Zoho CRM

Line Ads

Yahoo! Japan Display

Yahoo! Japan search ads

Xandr

Branch

Google Trends

Google Page Speed

Airbnb Review

Capterra Review

Facebook Review

Yelp Review

Glassdoor Review

Booking Review

Google Play Review

g2 Review

Appstore Review

Tripadvisor Review

Trustpilot Review

Indeed Review

Taboola

Teads

Outbrain

Magento

Prestashop

Bigcommerce

Youtube Analytics

Google Ads

Facebook Ads

LinkedIn Ads

Microsoft Ads

Facebook Pages

Amazon Ads

Pinterest Ads

X / Twitter Ads

TikTok Ads

Google Merchant Center

Google Analytics

Instagram

TikTok

Shopify