What is marketing attribution?

How does marketing attribution work?

Marketing attribution relies on reconstructing the customer journey: each incoming visit to the site is collected and then linked to the final conversion, according to its source (a click on a Search ad, a visit via Social, an arrival from an email, passing through an affiliate). An attribution model then defines how to distribute the value between these touchpoints.

Models range from the simplest to the most sophisticated: last-click assigns 100% of the credit to the last channel, first-click to the first, while multi-touch models (linear, U-shaped, W-shaped, or data-driven) distribute value across the entire journey. The choice of model radically changes the reading of performance: the same channel can seem decisive in last-click and marginal in linear. This is why the quality of collection and the consistency of the model directly determine the reliability of the results.

Why is marketing attribution important?

Marketing attribution determines where the budget goes. Without it, teams make trade-offs blindly or rely on self-reported conversions from each ad network, which overlap and each overvalue their contribution. Rigorous attribution reveals the truly profitable channels, those that play an assisting role, and those that waste investment.

The stakes are directly financial: by clarifying the actual contribution of each lever, TrackAd clients see +21% ROI gained in 2 months. Reliable attribution also makes it possible to concentrate the budget on incremental levers or those that effectively drive the conversion forward.

Marketing attribution at TrackAd

TrackAd reconstructs the entire user journey, from their first visit to the site until the order is placed, by recording every touchpoint along the way. By having such complete data, TrackAd allows performance to be analyzed according to multiple attribution models: first-click, last-click, participation, last paid click, data-driven, or a fully customizable model, among many others. This wealth of data, serving more than 150 clients in France and internationally, guarantees an attribution adapted to each acquisition strategy.

Frequently asked questions

How to choose your marketing attribution model? 

The choice depends mainly on the objective of the lever. Initiating levers, which open the journey, are analyzed rather at first-click; finishing levers, which trigger the conversion, at last paid click. The ideal is often to combine the two logics into a more complex model, such as TrackAd’s Funnel Wise model, which values each lever according to its real role in the journey. The best practice is to compare several models to measure their impact on the reading of performance.

What is the difference between marketing attribution and the attribution model? 

Marketing attribution is the global approach that consists of measuring the contribution of channels to conversion. The attribution model is the calculation rule applied within this approach: it decides how to distribute the value between touchpoints. In other words, the model is the tool; marketing attribution is the goal.

What are the main marketing attribution models?

We distinguish mono-touch models, which attribute all the value to a single touchpoint (first-click for the first, last-click for the last), and multi-touch models, which distribute it across the entire journey (linear, U-shaped, W-shaped, data-driven). The choice directly guides the reading of performance and budget trade-offs.

How long does it take to set up reliable marketing attribution? 

The timeframe depends on the number of sources to connect and the maturity of the existing tracking. Once the media platforms and the analytical solution are connected, collection becomes automated and data updates daily. The first budget trade-offs based on attribution can take place in a few weeks.

Marketing attribution designates the distribution of the value of a conversion among the touchpoints that contributed to it, according to a chosen calculation model. It is essential for identifying truly profitable channels and managing the budget, provided it relies on complete and deduplicated data.