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Connect Adjust to Azure SQL

Connect Adjust 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 Adjust API pipeline.

Adjust export job

First sync scheduled

Adjust Selected accounts

Configured job

Azure SQL Destination table

Account Adjust · 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 Adjust data to Azure SQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Adjust data in Azure SQL

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

Source

Adjust Advertising data

INapps PMcampaigns CUad_groups BLads

Catchr pipeline IN PM CU Extract · normalize · load

Azure SQL catchr_data.Adjust_raw

TableScopeStatus

appsSelectedReady

campaignsSelectedReady

ad_groupsSelectedReady

adsSelectedReady

Data freshness

Keep your AzureSQL tables up to date

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

AdjustConfigured account

AzureSQLAdjust 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

apps326 updated campaigns102 appended Warehouse up to date

Analysis

Unify Adjust 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 apps · Ad Impressions 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

Ad Impressionsapps

ad_spendMarketing

lifecycle_stageCRM

active_usersProduct

Ready for SQL 5 business fields

Adjust metrics and dimensions available in Azure SQL

Access 103 metrics and 43 dimensions from Adjust connectors including Ad Spend, ROAS (All Revenue), Revenue, Installs, Clicks, Impressions, Campaign name, Adgroup name, Ad name, Channel, Country, App and many more...

103

Metrics availables

Dimensions availables

View all Adjust Metrics metrics and dimensions

Connect Adjust to Azure SQL in minutes

Move your data from Adjust 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 Adjust account

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

Connect now

Client A · Connected sources

5 sources ready

Adjust 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 Adjust mobile acquisition performance in SQL.

This example summarizes spend, installs, revenue, and cost per install by acquisition campaign.

30-day window

SELECT
  campaign_name,
  SUM(spend) AS spend,
  SUM(installs) AS installs,
  SUM(revenue) AS revenue,
  SAFE_DIVIDE(
    SUM(spend),
    SUM(installs)
  ) AS cost_per_install
FROM `your_project.marketing_raw.adjust_daily`
WHERE date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY campaign_name
ORDER BY installs DESC;

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

Connect more table to your Adjust 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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Finance

Before you schedule the job.

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

How can I connect Adjust to an existing Azure SQL database?

Start with a connected Adjust source and an existing Azure SQL database. Create a datastream between them, then configure the accounts, fields, schedule, and "apps" table.

Which Adjust metrics and dimensions can be sent to Azure SQL?

Select concrete Adjust fields such as Ad Impressions, Ad Revenue, Ad RPM, and Normalized Week of the year. You can rename the chosen columns, preview the result, and write them to Azure SQL tables such as apps, campaigns, and ad groups.

What controls the refresh window for Adjust data in Azure SQL?

Set an initial fetch period for Adjust, then choose the frequency and lookback window for the job writing to "apps". Catchr rewrites that selected period on each run.

How can I keep recurring Adjust imports from duplicating rows?

The partition field tells Catchr which Adjust rows in "apps" belong to the period being refreshed. If you omit it, every run appends records rather than updating them.

What can agencies build with Adjust data in Azure SQL?

With Adjust data, an Azure SQL query can summarize spend, installs, revenue, and cost per install by acquisition campaign. A query built around Ad Impressions and Ad Revenue can support trend reviews, account comparisons, and operational reporting.

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 Adjust data to Azure SQL

Centralize Adjust data in Azure SQL

Keep your AzureSQL tables up to date

Unify Adjust with the rest of your business data

Adjust metrics and dimensions available in Azure SQL

Connect Adjust to Azure SQL in minutes

Connect your Adjust account

Choose the AzureSQL destination

Keep your AzureSQL tables updated

Review 30-day Adjust mobile acquisition performance in SQL.

Connect more table to your Adjust data

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

Google My Business

Snapchat Ads

LinkedIn Pages

Google Search Console

Spotify Ads

WooCommerce

Matomo

Klaviyo

Mailchimp

Pipedrive

ActiveCampaign