Analytics and Tracking

Last-Click Attribution

Also called last-click attribution, last touch

A rule that gives all the credit for a conversion to the final click before it, ignoring every earlier touchpoint.

Quick facts: Last-Click Attribution

Category
Analytics and Tracking
Also called
last-click attribution, last touch
Level
Beginner
Affects
Channel ROAS, budget allocation, Smart Bidding signals, affiliate commission
Where to see it
Google Ads conversion action settings, GA4 Attribution settings, GA4 model comparison report
In this article4
  1. How last-click attribution works
  2. Why it matters
  3. Common mistakes
  4. How to act on it

Last-click attribution is a rule that gives 100% of the credit for a conversion to the final click a customer made before converting. Any earlier ads, emails or searches that introduced them to you get nothing, however much they shaped the decision.

How last-click attribution works

Take a homeowner in Bristol planning a loft conversion. They see your video ad on YouTube, later click a Facebook ad and browse the gallery, then find one of your guides through Google search. Two weeks on, they search your company name, click your brand search ad and send an enquiry. Under last click, the brand search ad receives the whole enquiry; the video, the Facebook ad and the guide receive nothing.

What counts as “the last click” depends on which tool is doing the counting, because each one only sees its own part of the journey:

  • Google Ads credits the last Google Ads click it knows about. It cannot see the Facebook ad at all.
  • Meta Ads credits its own ads within the attribution window you set, including people who only viewed an ad.
  • GA4 offers a last-click model across every channel it records. It skips direct visits where an earlier source exists, which makes it a last non-direct click model in practice.

At the time of writing (October 2026), last click and data-driven are the only two models left in Google Ads and GA4. Google retired first click, linear, time decay and position-based from both products during 2023.

Why it matters

Last click is simple, stable and easy to explain, which is why it was the default in analytics tools for so long. Many UK small businesses have run on it for years without ever choosing it.

Its weakness is that it rewards whatever sits at the end of the journey. Brand search, remarketing and voucher code sites look outstanding, because they catch people who had already decided. Video, social prospecting, PR and content look weak, because they create demand that something else collects. Move budget on last-click evidence alone and you can starve the channels that fill the pipeline, then wonder months later why brand searches have fallen.

It also explains why your platforms disagree. Google Ads and Meta can each claim the same sale as their own last click, because neither can see the other. Added together, their figures usually exceed the orders you actually took.

Common mistakes

  • Cutting prospecting campaigns because last click shows them producing few conversions.
  • Treating a high return on brand search as proof of new demand, when many of those buyers would have clicked your organic listing anyway.
  • Paying affiliate or voucher sites commission on last click for customers who were already at the checkout.
  • Adding up the conversions each ad platform reports and calling the total your sales.
  • Switching a conversion action from last click to data-driven and reading the following month’s shift as a change in performance.

How to act on it

Keep last click as one lens rather than the only one. It is good at telling you which ads close sales. For which channels start journeys, look at the conversion paths and model comparison reports in GA4’s Advertising section and set them against data-driven attribution. A channel that scores well there but poorly under last click deserves a test before a cut.

Give channels different jobs and different measures. Prospecting can be judged on new visitors who later convert, closing channels on cost per sale. For the most expensive questions, such as how much brand search really adds, run an incrementality test rather than trusting any attribution rule.

When I take on PPC management for an account, one of the first things I check is which model each conversion action uses, because the bidding follows whatever the model says. The entry on attribution models compares the alternatives.

Do and do not

Do

  • Check which model each conversion action and report uses
  • Compare last-click results with data-driven before cutting a channel
  • Count real sales from your CRM or shop, not from the platforms

Do not

  • Cut prospecting campaigns on last-click figures alone
  • Treat brand search returns as proof of new demand
  • Add up the conversions every platform claims

Questions people ask about this

Is last-click attribution still available in Google Ads?

Yes. At the time of writing, every conversion action in Google Ads can use either last click or data-driven attribution, and data-driven is the default for most new conversion actions. You can change the model per conversion action under Goals in Google Ads.

Why do Google Ads and Meta both claim the same sale?

Each platform credits its own ads using its own rules and cannot see the other platform's clicks. A customer who clicked both will often be counted by both. Use the orders or enquiries in your own system as the real total; I explain the other causes in why GA4 and Facebook numbers do not match.

When is last click a sensible choice?

It works reasonably well when you run one main channel, customers buy quickly and there is too little conversion data for a data-driven model to say much. It is also useful as a consistent baseline in reports, as long as everyone reading them knows what it leaves out.

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