What is last-click attribution? Pros, cons and examples

Last-click attribution gives all the credit for a conversion to the final ad or channel a customer clicked. Here is what it means, how GA4 and Google Ads apply it, a worked GBP example, when it is useful and what it misses.

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Updated October 12, 2026
Credit 100% to the final click
In Google Ads and GA4 Still available
Favors Brand search and retargeting
Definition Last-click attribution is a model that gives 100% of the credit for a conversion to the final ad or channel a customer clicked before converting. Credit to the last clicked touch = 100% of the conversion value; every earlier touch = 0%

Last-click attribution gives all the credit for a conversion to the last ad, link or channel the customer clicked before converting. Every earlier touch gets nothing. It is simple, stable and still available in Google Ads and GA4, but it overvalues channels that close demand, such as brand search and retargeting, and undervalues the ones that create it.

How is last-click attribution calculated?

Find the last clicked touch inside the lookback window and give it 100% of the conversion and its value. Each tool applies the rule slightly differently:

ToolModel nameWhat gets the credit
Google AdsLast clickThe last-clicked Google ad and its keyword
GA4Paid and organic last clickThe last channel clicked, ignoring direct traffic
GA4Google paid channels last clickThe last Google Ads channel clicked

Sources: Google's Google Ads attribution models and GA4 attribution help pages.

Last-click attribution example

An illustrative £90 order from a UK skincare brand: a TikTok ad on day 1, an Instagram ad on day 4, a newsletter click on day 9 and a brand search ad click on day 10, when the customer buys.

  • Last click: brand search gets £90, and TikTok, Instagram and email get £0.
  • Linear, for comparison: each of the four touches gets £22.50.

Report on last click alone and paid social looks like it sells nothing, even though it found the customer.

When is last-click attribution useful?

  • Short, single-session journeys where the last click is most of the story.
  • Platform bidding, where a stable and simple signal helps.
  • A quick sanity check against more complex models.

It is weakest for prospecting, video and social channels, and for long B2B cycles where the first touch may come months before the deal.

Is last-click attribution still available?

Yes. When Google removed first click, linear, time decay and position-based models in 2023, last click stayed. Google Ads now offers last click and data-driven, with data-driven as the default for most conversion actions, and GA4 offers its two last click models alongside data-driven.

How Grower helps

Grower's attribution engine de-duplicates conversions from every channel and app into one unified conversion count, then credits each touchpoint with the model you pick: last click, first click, linear, time decay, position-based (40/20/40) or custom weights.

Frequently asked questions

What is the difference between last click and last non-direct click?

Pure last click gives credit to whatever came last, including a direct visit where someone typed your URL. Last non-direct click skips direct visits and credits the last marketing channel before them. GA4's paid and organic last click works this way: Google says it "ignores direct traffic" and gives 100% of the value to the last channel clicked.

Why does last click favor brand search and retargeting?

Those channels sit at the end of the journey. People who already know your brand search for it or click a retargeting ad just before buying, so last click hands them the sale. The ads, videos and posts that created the interest earlier get no credit, which can lead teams to cut the prospecting that feeds those closing channels.

Should I use last-click or data-driven attribution?

In Google Ads, data-driven is the default and, in GA4's words, uses your account's data to calculate the contribution of each click interaction. Last click is easier to explain and steadier at low volumes. For budget decisions across channels, neither platform model is enough on its own: use a cross-channel model on de-duplicated conversions and test with holdouts.

See every model applied to one sale in our marketing attribution models guide, or book a demo to see Grower's attribution engine with your channels.

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