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Connect AppsFlyer to Azure SQL

Connect AppsFlyer 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 AppsFlyer API pipeline.

AppsFlyer export job

First sync scheduled

AppsFlyer Selected accounts

Configured job

Azure SQL Destination table

Account AppsFlyer · 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 AppsFlyer data to Azure SQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize AppsFlyer data in Azure SQL

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

Source

AppsFlyer Advertising data

INapps PMcampaigns CUad_groups BLads

Catchr pipeline IN PM CU Extract · normalize · load

Azure SQL catchr_data.AppsFlyer_raw

TableScopeStatus

appsSelectedReady

campaignsSelectedReady

ad_groupsSelectedReady

adsSelectedReady

Data freshness

Keep your AzureSQL tables up to date

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

AppsFlyerConfigured account

AzureSQLAppsFlyer 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 AppsFlyer 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 · Activity Average DAU 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

Activity Average DAUapps

ad_spendMarketing

lifecycle_stageCRM

active_usersProduct

Ready for SQL 5 business fields

AppsFlyer metrics and dimensions available in Azure SQL

Access 40 metrics and 140 dimensions from AppsFlyer connectors including Revenue, Cost, Installs, ROI, Conversion Rate, AF Purchase (Unique Users), Campaign, Media Source, Channel, App Name, Country Code, Date and many more...

Metrics availables

140

Dimensions availables

View all AppsFlyer Metrics metrics and dimensions

Connect AppsFlyer to Azure SQL in minutes

Move your data from AppsFlyer 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 AppsFlyer account

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

Connect now

Client A · Connected sources

5 sources ready

AppsFlyer 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 AppsFlyer 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.appsflyer_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 AppsFlyer 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.

What is the setup for sending AppsFlyer data to Azure SQL?

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

What can I select from AppsFlyer before writing to Azure SQL?

Select concrete AppsFlyer fields such as Activity Average DAU, Activity Average DAU/MAU Rate, Activity Average MAU, 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.

Can an AppsFlyer-to-Azure SQL job import historical periods?

Define the first AppsFlyer fetch, run frequency, and lookback window in the "creatives" job. Each scheduled run replaces data inside the configured period.

Why does the AppsFlyer Azure SQL job need a partition field?

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

Which decisions can an AppsFlyer dataset in Azure SQL support?

With AppsFlyer data, an Azure SQL query can summarize spend, installs, revenue, and cost per install by acquisition campaign. Model Activity Average DAU and Activity Average DAU/MAU Rate 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 AppsFlyer data to Azure SQL

Centralize AppsFlyer data in Azure SQL

Keep your AzureSQL tables up to date

Unify AppsFlyer with the rest of your business data

AppsFlyer metrics and dimensions available in Azure SQL

Connect AppsFlyer to Azure SQL in minutes

Connect your AppsFlyer account

Choose the AzureSQL destination

Keep your AzureSQL tables updated

Review 30-day AppsFlyer mobile acquisition performance in SQL.

Connect more table to your AppsFlyer data

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Youtube Analytics

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Google Merchant Center

Google Analytics

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Snapchat Ads

LinkedIn Pages

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Spotify Ads

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Mailchimp

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