Results, not just testimonials.
How real teams use TrackRev to find their best channel, cut wasted spend, and run partner programs without bolting on a second SaaS.
Outcomes by the numbers.
Every story starts with the metric the team came to TrackRev to fix.
Each card leads with the number that changed, not with a compliment. That is deliberate: “we love the dashboard” is not an outcome, and a metric with no before-state is not evidence. Where a story quotes a figure, the story itself says which tool produced it and over what period.
Replaced three separate tools — link shortener, attribution cron, and affiliate platform — in a single week.
Read the storyLaunched a partner program in days and paid out accurate commissions without building anything.
Read the storyHow to read an attribution case study
Attribution case studies are unusually easy to write dishonestly, because the tool being sold is also the tool doing the measuring. If you are evaluating us — or anyone else — three questions are worth asking of every number on a page like this one.
Is it a revenue metric or a traffic metric?
“Clicks up 40%” costs a vendor nothing to produce and tells you nothing about whether the channel pays. The metrics worth comparing across tools are the ones denominated in money that settled: revenue per channel, retained MRR, commission paid against revenue kept.
What was the baseline, and who measured it?
A result measured entirely inside the new tool cannot be compared to the old one, because the two rarely share a definition of a sale. The comparisons that survive scrutiny are the ones anchored to something outside both tools — usually the payment processor, which is the only system that knows what actually settled.
Is the change attributable to the tool at all?
Most of the lift in a switching story comes from finally seeing a channel clearly and then acting on it — cutting the spend that was not converting, doubling down on the partner who was. The tool made the decision possible; the team made the decision. Any case study implying otherwise is selling you something.
If you would rather look at a population than at individual accounts, our SaaS attribution benchmarks and affiliate program benchmarks publish the aggregate ranges instead — which is a fairer basis for deciding whether your own numbers are healthy.
Want your story here?
If you're using TrackRev in production, we'd love to write you up — and credit your team.