Last-click attribution

Last-click attribution is an attribution model that gives 100% of the credit for a conversion to the last ad or channel the customer clicked before converting. Many analytics tools use it as a simple, common default, and it is the lens through which a lot of Meta ads reporting gets compared.

How it works

The tool looks back from the conversion, finds the final click and ignores everything before it.

1. A customer clicks a Meta ad on Monday.
2. They search your brand name on Thursday and click a Google ad.
3. They buy on Thursday.

Last-click gives the sale to Google. The Meta click that introduced them gets nothing. Impressions without clicks never count under a strict last-click rule, so a person who only saw an ad has no place in it.

What it gets right

• It is easy to read. One conversion belongs to one source, so totals match your sales.
• It needs little data. You only record the last click, which works even when the rest of the path is missing.
• It suits short cycles. For low-priced items bought within a day of the click, the last click is often most of the story.
• It is easy to defend. The channel that closed the sale has a click on the record.

Where it stops

Last-click rewards the channels near the end of a journey and undervalues the ones that start it. Search on your brand name, retargeting and email tend to look strong. Prospecting on Meta, where people first meet you, can look weak. Cutting budget on that basis can dry up the demand the end-of-funnel channels were harvesting.

It also says nothing about cause. A credited click does not show the sale needed the ad. Incrementality tests answer that, and multi-touch attribution shares credit across the path.

Last-click and Meta's reporting

Meta's reporting follows the attribution setting of each ad set, not a pure last-click rule. Meta's attribution settings page lists click-through, view-through and engage-through windows, so Ads Manager can credit a conversion to a view or engagement as well as a click. That is one reason Ads Manager and a last-click tool such as an analytics report often disagree. When you compare the two, note the window each uses, and see the attribution window entry for Meta's settings. Click-through attribution is the part of Meta's credit that follows a click.

When last-click is the right choice

• The product is cheap and people buy within a day.
• You run one or two channels and the path is short.
• You need a simple report that ties to orders, with a note on its limits.
• You are comparing like with like over time and don't want to change the rules.

For longer, multi-channel journeys, read last-click next to another attribution model.

Example. A dental clinic spends $1,500 on Meta in a month and $800 on Google search. Its booking form tracks the last click: 5 bookings go to Meta and 20 to Google, most of them from people searching the clinic's name. A check of the 20 Google bookings finds that 8 clicked a Meta ad earlier. On last-click, Meta costs $1,500 ÷ 5 = $300 per booking. If those 8 are counted for Meta too, it is 13 bookings, or about $115 each. The clinic keeps the Meta budget and reports both numbers, labeled by model.

In Madgicx. The One-Click Report puts Meta, Google Ads, TikTok, Shopify and Klaviyo data in one view, so you can set Meta's credited results next to your store revenue and spot where a last-click report disagrees.

FAQ

What is last-click attribution?

It is a model that credits the final click before a conversion with all of the value. Earlier clicks and views get nothing, however much they helped.

What is the difference between last-click and last-touch attribution?

Last-click counts only clicks. Last-touch counts the final interaction of any kind, which may include a view or an email open, depending on the tool.

Does Meta use last-click attribution?

Not exactly. Meta credits conversions to ads within the windows set for each ad set, and those windows can include views and engagements as well as clicks.

Why does last-click undervalue Meta ads?

Meta ads often reach people who haven't heard of you, and they buy later after searching or opening an email. The final click goes to that later channel, so the ad that started the path gets nothing.

Is last-click attribution still worth using?

Yes, for short buying cycles and simple reporting. Use it with a note on its limits, and check big decisions with a lift test.

Related

• Related terms: Attribution model, Multi-touch attribution, Click-through attribution, Incrementality
• In depth: Machine learning for multi-touch attribution

Sources

• About attribution models and attribution settings, Meta Business Help Center