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Join marketing, finance, CRM, and product data inside the same warehouse.
Metrics availables
Dimensions availables
Enter the Azure SQL server host, database, and login details. Catchr verifies the destination before any marketing data is exported.
Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your AzureSQL table.
This example summarizes spend, impressions, clicks, and click-through rate by campaign.
Open the dedicated route for each platform. Its field catalog, reporting grain, historical constraints, and warehouse use cases should be specific to that source.
Answers about AzureSQL setup, available source data, schedules, table updates, and SQL use cases.
Create the TikTok Ads source, then register Azure SQL with its server host, database name, username, and password. Link both through a datastream and target the "advertisers" table in the job.
Select concrete TikTok Ads fields such as Unique Achieve Level, Achieve Level Rate (%), Payment info added (website), and Day of the month. You can rename the chosen columns, preview the result, and write them to Azure SQL tables such as accounts, advertisers, and campaigns.
Configure the initial TikTok Ads period separately from the recurring schedule for "advertisers". The source API determines how much history is available.
Choose an eligible date field as the partition for TikTok Ads. Catchr can then replace the matching period in "advertisers"; without it, later runs append rows and may create duplicates.
With TikTok Ads data, an Azure SQL query can summarize spend, impressions, clicks, and click-through rate by campaign. Use Unique Achieve Level and Achieve Level Rate (%) in an Azure SQL view to create a reusable reporting layer for client analysis.
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.
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