tl;dr
Influencer performance in the Attribution Deep Dive can be measured in two ways: via UTM matching or via discount code redemptions. In both cases, matched sessions are reported consistently — Campaign at the campaign level, Influencer Name at the ad set level, and Platform at the ad level.
Setup
Discount Codes
In the sheet or CRM, set Add Attribution Last Touch (col Y, optional — yes/no) to Yes to enable discount codes as an attribution signal for influencer partnerships.
When set to Yes and an order matches a code from the sheet, Klar appends an artificial session to the end of the normal order journey. This session carries the influencer campaign information: the campaign name appears at the campaign level, the influencer name at the ad group level, and the platform at the ad level. Under the Last Touch attribution model, this session receives full credit.
UTMs
Enter the UTM parameters from your influencer tracking links in the sheet or CRM. Each partnership should use unique UTMs so Klar can unambiguously match sessions to the correct influencer.
When a UTM matches a touchpoint within an order journey, it is automatically mapped to the corresponding influencer partnership. The Attribution Deep Dive does not display the raw UTM values — instead, it applies the same mapping logic as discount codes: campaign name at the campaign level, influencer name at the ad group level, and platform at the ad level.
Conclusion
Because both methods use the same mapping logic, you can view all influencer performance in a single consolidated view and use the Ad Group tab to compare performance across Influencers e.g.. Since Klar does not enforce specific values in the sheet columns, you can also repurpose this structure to track other dimensions — just populate the relevant columns accordingly.
