Connect Adalyser to Azure SQL

Register Adalyser with your username and password, save your Azure SQL connection details, then pair both systems in a datastream and choose the Adalyser fields to write to your database.

Choose from 43 metrics and 34 dimensions, including Sales Value, Cost per Lead, Lead-to-Sale Conversion Rate, Channel, Product, Market, Platform, and Week Start. You can rename selected columns, preview the result, and write it to an Azure SQL table.

An Azure SQL job can start with a historical Adalyser fetch and continue on a recurring schedule. The available history and frequency depend on the Adalyser API and your Catchr plan.

Use a valid date field such as Week Start when configuring the job. Catchr deletes and rewrites the scheduled date window to limit duplicate rows across overlapping loads.

Use Azure SQL queries to compare Sales Value, Cost per Lead, and Lead-to-Sale Conversion Rate by channel, product, market, platform, or broadcast week, then expose reusable views to analysts and reporting tools.

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