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attribution software
Attribution tools differ greatly in what they measure and how reliable that is. These are the criteria that determine whether a tool allocates your budget fairly.
What must attribution software be able to do?
Most attribution tools answer the question: which digital touchpoints did a conversion pass through? That is a useful question, but not the one a budget decision rests on.
The question that matters is: how much revenue does a channel truly add, and what happens to that contribution if I spend more or less? Evaluate software on its ability to answer that question, for your entire mix.
What to look for when comparing
Seven criteria that make the difference between a reporting tool and a steering instrument.
| Criterion | Why it matters | Datafy |
|---|---|---|
| Channel coverage | If the tool misses offline, your media plan misses half the picture | Online and offline, including TV and radio |
| Incrementality | Claimed conversions direct budget the wrong way | Estimates the incremental contribution per channel |
| Cookie dependence | Cookie tracking is disappearing, measurement must keep working | Works on aggregated and first-party data |
| Forecasting | A tool that only looks backward does not help with planning | Forecasts revenue and calculates scenarios |
| Validation | A prediction without testing is an assumption | Tests predictions against reality |
| Transparency | A black box cannot be defended to the board | Shows parameters, model fit and confidence |
| Output | A dashboard is not a decision | Delivers a concrete budget recommendation per channel |
Reporting tool or steering instrument
Many tools do one thing well: they show the digital customer journey. For a marketer who only compares digital campaigns, that may be sufficient.
If you allocate budget across online and offline, and need to defend your choices to leadership and finance, you need more: incrementality, all channels, a forecast and validation. That distinction runs parallel to the choice between MMM and last-click and between MMM and multi-touch attribution.
Frequently asked questions
What should I look for in attribution software?
Channel coverage, whether the tool measures incrementality, whether it works without third-party cookies, whether it forecasts, whether predictions are validated, transparency and whether the output is a concrete recommendation rather than just a dashboard.
What is the difference between an attribution tool and Marketing Mix Modeling?
A classical attribution tool distributes registered digital conversions. Marketing Mix Modeling estimates the incremental contribution of all channels, including offline, based on aggregated data.
Do I need a separate tool for offline media?
Not if the software includes offline. Datafy analyses online and offline channels in one model, so you do not need a separate solution for TV and radio.
Is more expensive attribution software always better?
No. Evaluate on the criteria that affect your decision: incrementality, channel coverage, validation and transparency. An expensive tool that only shows digital paths does not solve your budget question.
Compare Datafy with your current tool.
Book a demo and see how Datafy scores on the criteria that determine your budget decisions.