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Join marketing, finance, CRM, and product data inside the same warehouse.
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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.
Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your MySQL table.
This example summarizes spend, installs, revenue, and cost per install by acquisition 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 MySQL setup, available source data, schedules, table updates, and SQL use cases.
Start with a connected Adjust source and an existing MySQL database. Create a datastream between them, then configure the accounts, fields, schedule, and "apps" table.
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 MySQL tables such as apps, campaigns, and ad groups.
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.
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.
With Adjust data, a MySQL 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.
Yes. Connect an existing MySQL 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.
Our teams is always here to responds to any question you could have about our data connector.
Connect your accounts, choose the fields, then schedule the data your team needs in MySQL.