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AppsFlyer
Selected accounts
Configured job
MySQL
Destination table
Join marketing, finance, CRM, and product data inside the same warehouse.
Metrics availables
Dimensions availables
AppsFlyer
3 advertising accounts
Connected
Google Ads
2 advertising accounts
Connected
Google Analytics 4
1 web property
Connected
HubSpot
1 CRM portal
Connected
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.
Add AppsFlyer in Sources and connect the existing MySQL database in Storage. A datastream defines the route, while the job loads the chosen fields into "creatives".
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 MySQL tables such as apps, campaigns, and ad groups.
Define the first AppsFlyer fetch, run frequency, and lookback window in the "creatives" job. Each scheduled run replaces data inside the configured period.
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.
With AppsFlyer data, a MySQL 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.
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.
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