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English Marketing Mix Modeling
vs last-click attribution
Last-click is simple and widespread. Marketing Mix Modeling is more complete and more reliable. This is the difference, and when to use each method.
Two methods, two assumptions
Last-click attribution gives all the credit for a conversion to the final touchpoint. Simple to understand, standard in every ad tool, but built on an assumption that rarely holds: that only the last click mattered.
Marketing Mix Modeling analyses the statistical relationship between all media spend and revenue over time. It does not attribute a conversion to a click, but estimates per channel the incremental contribution.
MMM versus last-click
The key differences at a glance.
| Last-click attribution | Marketing Mix Modeling | |
|---|---|---|
| Attribution | Full conversion to the last click | Incremental contribution per channel |
| Channel coverage | Digital channels with a click only | Online and offline, including TV and radio |
| Cookies | Dependent on tracking and cookies | Works on aggregated data, no cookies required |
| Brand traffic | Counts brand search and retargeting in full | Corrects for traffic that was coming anyway |
| Long term | Ignores carry-over effects | Models adstock and carry-over |
| Lead time | Immediately available | Requires historical data and a model |
| Best use | Quick check on a digital campaign | Allocating budget across all channels |
When do you choose which?
Last-click is useful for a quick look at a digital campaign. It is immediate, requires no model and everyone understands it. For budget decisions across your entire mix it is unsuitable, because it does not see offline channels and overvalues the bottom of the funnel.
For the question of how to allocate budget across online and offline based on actual contribution, Marketing Mix Modeling is the appropriate method. Datafy combines MMM with first-party attribution, so you retain rapid campaign signals as well.
Frequently asked questions
Is last-click attribution wrong?
Not wrong, but limited. Last-click is useful for a quick check on a digital campaign. For budget allocation across all channels it gives a distorted picture, because it ignores offline and overvalues the last click.
Why does MMM give different figures than my ad tool?
Because MMM estimates the incremental contribution and corrects for brand traffic and retargeting. Ad tools show claimed conversions. MMM figures are therefore often lower, but more realistic.
Can I use MMM and last-click alongside each other?
Yes. Many teams use last-click for daily campaign monitoring and MMM for strategic budget allocation. Datafy does not replace last-click, it provides the picture that last-click misses.
Do I need a lot of data for MMM?
MMM requires historical data on spend, revenue and external factors, ideally multiple years. Last-click works immediately. That is the price of the more complete and reliable picture.
See what last-click does not measure.
Book a demo and compare your last-click figures with Datafy's Marketing Mix Model.