What is marketing attribution?
Most purchases follow more than one touchpoint. A customer might see a social ad, click a search ad a week later, and then buy after opening an email. Attribution decides how much credit each of those touchpoints gets.
Teams use it to see which channels and campaigns are contributing, and to optimize bids, budgets, and creative day to day.
What are the main marketing attribution models?
| Model | How credit is assigned | Tends to favor |
|---|---|---|
| Last click | All credit to the final touchpoint before conversion | Search and retargeting |
| First click | All credit to the first touchpoint | Awareness channels |
| Linear | Equal credit to every touchpoint | No single stage |
| Time decay | More credit to touchpoints closer to conversion | Late-stage channels |
| Position-based | Most credit to the first and last touches, the rest shared | Opening and closing touches |
| Data-driven | A model learns credit from observed conversion paths | Depends on the data |
Every model is a choice about how to split credit. None of them, on its own, proves that a touchpoint caused the sale.
What is an example of marketing attribution?
Three channels, one sale
A shopper sees a video ad, later clicks a paid social ad, and finally buys through a branded search ad.
Under last-click attribution, search gets all the credit. Under a linear model, each channel gets a third. The sale is the same. The story each model tells about it, and the budget it suggests, isn't.
Attribution vs. marketing mix modeling vs. incrementality testing
| Attribution | Marketing mix modeling | Incrementality testing | |
|---|---|---|---|
| Question | Which touchpoints came before the sale? | How much did each channel contribute over time? | Did the marketing cause the result? |
| Data | User-level tracking | Aggregate spend and sales | Test and control groups |
| Offline channels | Mostly missing | Included | Possible with geo tests |
| Speed | Daily | Periodic | Per test |
| Best for | Day-to-day optimization | Budget allocation | Validating a channel's impact |
What are the limits of marketing attribution?
Attribution is useful, but it is easy to over-trust.
- It depends on tracking. Browser restrictions, ad blockers, and privacy rules leave gaps in the paths it can see.
- It assigns credit, not cause. It can reward channels that reach people who were already going to buy.
- Brand barely registers. Most models measure the moment of sale and miss the brand conditions that made it more likely.
- Offline is invisible. TV, out-of-home, and in-store influence rarely appear in click paths.
How does Alli do this?
Many teams keep their existing attribution for day-to-day optimization. Alli adds what attribution usually lacks: brand equity measured weekly in Alli Brand Equity, brand and media modeled together in Alli Scenario Planner, interactive scenarios for the next budget decision, and one set of definitions shared with finance.
Alli Scenario Planner pairs media response modeling with signals from Alli Brand Equity, so teams can see what media drove directly and how brand strength made growth easier.
See how Alli measures growthMarketing attribution FAQ
What is the best marketing attribution model?
There is no single best model. Data-driven models usually describe conversion paths better than fixed rules, but every attribution model assigns credit rather than proving cause, so it is best paired with mix modeling and incrementality tests.
Is attribution the same as marketing mix modeling?
No. Attribution works from user-level paths to conversion. Marketing mix modeling works from aggregate spend and sales over time, and can include offline channels and outside factors.
Why is marketing attribution getting harder?
Browser restrictions, operating system privacy changes, ad blockers, and privacy regulation make it harder to track individual users across sites and devices, so attribution sees fewer complete paths.
Do I still need attribution if I use MMM?
Usually, yes. Attribution is fast and granular, which suits day-to-day optimization. MMM is better for allocating budget across channels. Many teams use both.
Last updated ‹ Back to the glossary