Marketing attribution software, compared on what actually separates them
Attribution arguments are rarely about the model. They are about the lookback window. If your data expires after two months and your sales cycle is four, last-touch is not a choice you made, it is the only thing left. Compare the retention window first, then the models.
What separates a good one from a bad one
- Lookback window
- How far back the tool can still see the first touch. A model is only as good as the history behind it.
- Models offered
- First touch, last touch, linear, time decay, position based, data driven. More is not better; being able to switch and compare is.
- Where the source is stored
- On the session, or on the person. Stored on the person, a campaign tagged in March is still on the record in June when the order lands.
- Offline and CRM joins
- B2B revenue closes in a CRM, not a browser. Whether the tool can join that back to the touchpoint decides if it works for sales-led businesses.
How to decide
Buy the lookback window, not the model list. Every tool on this page offers first, last and multi-touch; almost none of them can still see a first touch from five months ago, either because retention expired or because the source was stored on a session that no longer exists. Ask one question of every vendor: show me a conversion whose first touch is older than my sales cycle. The demo that can is the shortlist.
The last column is the honest one: when each tool, including ours, is the right choice. Where a full head-to-head exists, the name links to it.
| Tool | Category | Starting price | Choose it when |
|---|---|---|---|
| KISSmetrics | Person-level analytics | Free, then $99/mo | The question is who became a customer, what they are worth, and which channel brought them. |
| Segment | Customer Data Platform (CDP) | Free (1,000 visitors/mo) | You need events routed to many destinations and attribution computed downstream in a warehouse you already run. |
| Adobe Analytics | Enterprise Web Analytics | $100,000+/year | You are attributing across an enterprise Adobe stack with analysts on staff. |
| Google Analytics 4 | Web Analytics | Free | You mainly need Google Ads conversion attribution and accept its windows and modelling. |
| Amplitude | Product Analytics | Free (limited) | Attribution is secondary to product analytics and you already govern a tracking plan there. |
| Mixpanel | Product Analytics | Free (up to 1M events/month) | Same trade as Amplitude: attribution as a view inside product analytics, not the system of record. |
Where KISSmetrics fits
KISSmetrics stores acquisition source on the person the first time it sees them and keeps full retention, so the first touch is still attributable months later. It is not a media-mix modelling tool and will not tell you the incremental value of a brand campaign; for that you want a dedicated MMM product.
Try it on your own data before you shortlist anything
100,000 events a month, free, no card. Paste your URL and the first reports are built before you configure anything.
Questions
- What is multi-touch attribution?
- Crediting several touchpoints on the path to a conversion rather than only the last click. It matters most where the buying cycle is long and involves research, because last-click credits whatever ran nearest the purchase and comparison content almost never does.
- Why does my attribution not match my ad platform?
- They count different things. Ad platforms count conversions they believe they caused, using their own view-through and click windows, and every platform claims the same conversion. An independent tool counts each person once. The gap is expected; the useful number is the one that is consistent month to month.
- How long should an attribution lookback window be?
- Longer than your sales cycle, with room to spare. If deals close in ninety days, a thirty-day window will make paid look better than it is and content look worse. Check what your tool actually retains before choosing a model.
Comparing two specific tools? Every head-to-head comparison.
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