Joinr automatically syncs your ad data and transforms it to meet the standards of our Ad Data Framework.
For example, Joinr unifies "spend" from Facebook Ads, "cost" from Google Ads, and "total cost" from TikTok Ads into one single metric called "spend." Joinr does this across all included metrics, including spend, impressions, clicks, video plays, etc. In most cases, those metrics have a one-to-one relationship, so it's pretty easy to confirm that "spend" or "impressions" are matching the data in your ad platforms.
The "conversions" metric is not a one-to-one relationship. Joinr automatically combines ALL conversion data into the one single "conversions" metric. So "conversions" in Joinr includes all data that the ad platforms consider a "conversion." That means that the number of purchases, sign ups, leads, landing page views, custom conversions, etc. are all included in the "conversion" metric. And because the ad platforms have a broad definition of "conversions," you'll also see metrics like page likes, post engagements, and even link clicks included there.
Because it includes every conversion, the "conversion" metric in Joinr might look much higher than you expect. To solve this, use the "conversion name" dimension to break the conversions into their individual names.
For example, here is a Data Studio table showing all conversions for a sample ad account:
I can edit the table (in the Set Up panel) and add a "Conversion Name" dimension.
The result is a table that breaks down the conversion metric into its individual values:
If you get this far and your conversion data still looks off, send a support ticket to email@example.com.
Lastly, we've had users request the ability to isolate individual conversions into their own metric. While we don't currently support that functionality, some individuals have come up with some nice workarounds that can be achieved using Data Studio's calculated metric feature. You can learn more about that option here: How to create a single conversion metric using Data Studio's calculated metrics