Example scenarios
How a team can use TrackRev.
Two example scenarios of small SaaS teams using TrackRev affiliate software to run a partner program on real revenue, with link tracking and revenue attribution built in rather than bolted on.
These are example scenarios built from illustrative reference accounts. The companies, quotes and figures are not named customers or independently measured results.
Figures from the example scenarios below
The scenarios
Two example setups.
Each scenario starts with the problem a team came to TrackRev to fix.
Each card leads with the figure the scenario is built around, not with a compliment: “we love the dashboard” is not an outcome. The accounts are illustrative, so treat the figures as examples of what to measure, not as results we have verified for a named customer.
Replaced a link shortener, an attribution cron job and a separate affiliate platform with one affiliate tool that has link tracking built in.
Launched a partner program in days and paid out accurate commissions from real Stripe sales, without writing a line of payout code.
How to read a software case study
Case studies for tools that measure revenue 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 up a named, permissioned story with your team.