Home > Destinations > MySQL > Adalyser

Connect Adalyser to MySQL

Connect Adalyser to MySQL and export selected accounts, metrics, and dimensions to your MySQL project.

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

Used by the world's leading companies

Export Adalyser data to MySQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Adalyser data in MySQL

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

Data freshness

Keep your MySQL tables up to date

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

Analysis

Unify Adalyser with the rest of your business data

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

Adalyser metrics and dimensions available in MySQL

Access 43 metrics and 34 dimensions from Adalyser connectors including Sales Value, Sales Count, Lead Count, Cpl, Cps, Roi, Date, Channel, Creative, Programme, Daypart, Product and many more...

43

Metrics availables

34

Dimensions availables

Connect Adalyser to MySQL in minutes

Move your data from Adalyser to MySQL 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 Adalyser account

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

Client A · Connected sources
5 sources ready
Adalyser 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 MySQL destination

Connect your existing MySQL database with its host, port, username, password, and database name. Then create the datastream that defines where the selected source data should go.

Destination / MySQL Required fields
Host Required
analytics-db.internal
Username Required
catchr_writer
Password Required
••••••••••••
Database Required
marketing_reporting
Step three

Keep your MySQL tables updated

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

Export job / MySQL Example
Database Destination
marketing_reporting
Table Per job
google_ads_campaigns
Recurring schedule Choose a cadence
Every 6 hours
Daily · 06:00
Weekly · Mon
Export readySelected fields · configured history
Every 6 hours

Adalyser.sql
BigQuery SQL
30-day window
Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Connect more table to your Adalyser 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.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Before you schedule the job.

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

How do I connect Adalyser data to MySQL with Catchr?

Register Adalyser with your username and password, save your MySQL connection details, and pair both systems in a datastream. You can then select Adalyser report fields, preview the columns, and write the result to MySQL.

Which Adalyser data can I structure in MySQL?

Choose from 43 metrics and 34 dimensions across Accounts, TV Campaigns, and Spot Analysis data. For example, you can organize sales value, cost per lead, client, product, channel, platform, and campaign status into reporting-ready MySQL tables.

Can Catchr load historical and recurring Adalyser data into MySQL?

An Adalyser-to-MySQL job can begin with a historical fetch and continue on a recurring schedule. The available history and frequency depend on the Adalyser API and your Catchr plan.

How can Catchr refresh existing Adalyser records in MySQL?

Use a valid Adalyser date dimension such as Week Start when configuring the MySQL job. Catchr deletes and rewrites the scheduled window to limit duplicate rows when successive loads overlap.

What marketing reports can I create from Adalyser data in MySQL?

Create MySQL queries or views that compare sales value, average sales value, cost per lead, and lead-to-sale conversion rate by client, product, channel, platform, or broadcast week. Agencies can reuse these datasets across recurring client reports and compatible reporting tools.

Does my MySQL database need to exist before I connect it?

Yes. Connect an existing MySQL 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 MySQL 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. 

Your next MySQL reporting table should not start with five exports.

Connect your accounts, choose the fields, then schedule the data your team needs in MySQL.

14 days free-trial
No credit-card required
100+ sources