Connect TikTok Ads to PostgreSQL

Create the TikTok Ads source, then register PostgreSQL with its 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 PostgreSQL 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, a PostgreSQL query can summarize spend, impressions, clicks, and click-through rate by campaign. Use Unique Achieve Level and Achieve Level Rate (%) in a PostgreSQL view to create a reusable reporting layer for client analysis.

Yes. Connect an existing PostgreSQL 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.