What's in Reports
The Reports section breaks the same conversion + click data into five different views. Each tab answers a different kind of question. Pick the one that matches what you're trying to learn — they all share the same date-range picker and CSV export so you can move between them without losing context.
By Partner
The default tab. Ranks every partner by revenue, clicks, conversions, EPC, CVR, payout, and profit over the selected date range. Use this when you want to know who's driving the most revenue and which partners deserve more budget, a higher CPC, or a tap on the shoulder.
Filters: date range, partner search, status (active / paused / banned). Columns are sortable and the whole table is exportable as CSV.
By Offer
Same shape as By Partner, but rows are offers instead of partners. Use this when you have multiple offers and want to know which offer is monetizing best — the answer often surprises you.
The Compare toggle lets you stack the prior period side-by-side: revenue and delta in one cell.
Breakdown
The flexible one. Pick a dimension (Country, Device, Browser, OS, Campaign, Ad set, Creative, Source, Medium, Coupon, Event) and Trcker pivots the same metrics by that field.
Use this when you want to know things like: - Which countries convert best on a specific offer? - Are mobile clicks worth more or less than desktop? - Which campaign tag is driving high-EPC traffic?
Combine with the date range to spot trends. Export the result as CSV when you want to slice further in a spreadsheet.
Attribution
Conversions usually touch more than one click. The Attribution tab shows what credit each click would receive under each model:
- Last touch (default): full credit to the last click before conversion. Industry-standard, easy to explain.
- First touch: full credit to the first click. Useful when you want to know who introduced the user.
- Linear: equal credit across every click in the path.
- Position-based (40/20/40): biased toward first and last touches.
- Time decay: more recent clicks weighted higher.
The same conversions appear in every model — only the attributed revenue per partner / per offer changes. Use this to stress-test your payout structure: if Last-Touch and First-Touch produce wildly different rankings, you have an introducer-vs-closer dynamic worth thinking about.
Incrementality
The hardest question to answer in affiliate tracking: would this conversion have happened anyway? Incrementality answers it with a holdout test — a small percentage of users randomly excluded from your tracking, used as a control group.
The tab shows lift, statistical confidence, and the conversion rate gap between the holdout and the rest. If the gap is small or the confidence is low, your traffic might be largely cannibalizing existing demand. If the gap is large, the partner is producing real lift you wouldn't otherwise have.
See Incrementality holdouts for setup and interpretation.
Common workflows
- "Who should I cut?" → By Partner, sort by Profit ascending, find the partners losing money.
- "Why did Tuesday's revenue drop?" → Breakdown by Date (or Campaign), filtered to Tuesday only.
- "Should I reward my top partner with a higher CPC?" → By Partner + Attribution (compare last-touch vs linear). If the partner ranks high in both, they're earning the bump.
- "Is my paid traffic actually adding revenue?" → Incrementality, filtered to that partner.
Exporting
Every tab has an Export CSV button in the top-right. Exports respect your filters and date range. Files are named