Attribution models in 2026 - which one should you actually be using

Attribution is the process of assigning credit to the touchpoints in a customer's journey from first awareness to conversion. A customer who clicks a Google Ad, leaves, searches your brand name a week later, clicks an organic result, and then converts - which touchpoint gets credit? The model you use answers that question and determines what your channel performance data says.

Last click - simple but misleading

Last click gives 100% of conversion credit to the final touchpoint before conversion. It is simple to understand and simple to implement. It is also consistently misleading because it ignores every touchpoint in the journey that influenced the decision. It tends to over-credit branded search (where people search directly for you after being influenced by other channels) and direct traffic, while under-crediting display, YouTube, and upper-funnel content that introduced the buyer to your brand.

Data-driven attribution - the best available model

Data-driven attribution uses machine learning to assign conversion credit based on actual observed patterns in your account data. It looks at the paths that led to conversions and the paths that did not, and distributes credit based on the incremental contribution of each touchpoint. This is Google's recommended model and the default for Google Ads when sufficient data is available. For accounts with enough conversion data (the threshold is relatively low - a few hundred conversions per month), data-driven attribution is the most accurate available option.

Linear and time decay - when they are useful

Linear attribution gives equal credit to every touchpoint. Time decay gives more credit to touchpoints closer to conversion. Both are better than last click for understanding the value of upper-funnel activity, though neither is as sophisticated as data-driven. They are useful in situations where data-driven is not available due to low conversion volumes.

Cross-channel attribution - the bigger picture

GA4's attribution model covers activity within the sessions Google can observe. It does not fully account for offline touchpoints, email, or social media interactions that happen outside the browser. For businesses with complex multi-channel journeys, a dedicated attribution tool or media mix modelling gives a more complete picture. Google Ads and GA4 attribution are a starting point, not the whole story.