Last-Click Attribution vs Linear Attribution
In short: Both models decide how to split conversion credit across a user's path, but they sit at opposite extremes of how much of that path they are willing to look at. Last-click keeps it simple by ignoring everything except the final touch. Linear goes the other way and spreads credit evenly across every recorded touchpoint, treating a five-step path as five equal contributors. Last-click is still selectable inside Google Ads; linear was retired from Google Ads and GA4 reporting in 2023 and now lives mainly in independent analytics. Use last-click when you need a number the platform can hand you directly; use linear when you need to see the full shape of a long path without weighting any one step.
By the AdFlint research team · Fact-checked against current Google and Meta platform behavior · Last reviewed July 2026
Last-Click Attribution
Gives all conversion credit to the final ad click before the conversion, ignoring every earlier touchpoint in the path.
All credit lands on the final click before the conversion, which makes reporting simple and reproducible but flattens upper-funnel work. Advertisers use it when paths are short or when they need an auditable baseline everyone can recompute. Google Ads still offers it while defaulting to data-driven attribution. The usual mistake is reading last click as what the ad caused rather than simply where the path ended.
Full definitionLinear Attribution
Splits conversion credit evenly across every touchpoint in the path, so a five-touch journey gives each interaction twenty percent.
Every recorded interaction receives an identical share of the conversion, which makes long paths visible without asserting that any one step mattered more. Analysts use it as a neutral starting point when comparing channel involvement rather than channel impact. Google Ads and GA4 removed it from their reporting in 2023, though it remains standard in other analytics tools. The trap is treating equal credit as evidence of equal influence.
Full definitionSide by side.
The differences that actually change what happens in your account.
| Last-Click Attribution | Linear Attribution | |
|---|---|---|
| What gets credited | Only the final click before the conversion. | Every recorded touchpoint, split into equal shares. |
| How credit changes with path length | Does not change - one click always gets 100 percent, however long the path. | Shrinks per touch as the path gets longer, so a ten-touch path gives each touch 10 percent. |
| Availability in Google Ads / GA4 today | Still selectable as a rule-based model. | Removed as a selectable model in 2023; no longer live in either platform. |
| What it is good at showing | Which channel closes deals, cleanly and reproducibly. | How many channels touch a typical path, and roughly how often. |
| What it hides | Every channel that built awareness or consideration before the close. | Whether any particular touch actually mattered more than the others. |
| Setup burden | None beyond standard conversion tracking. | Requires a full multi-touch path export since neither platform computes it natively anymore. |
| Failure mode | A branded search click gets full credit for a sale that a display campaign actually generated. | A single throwaway impression gets the same 20 percent share as the touch that actually convinced the buyer. |
What actually separates them.
Last-click always produces exactly one winning touchpoint per conversion, while linear always produces as many partial winners as there were touches, so the two reports can never structurally match on which channel gets the credit.
Linear's per-touch credit share is a function of path length, meaning the same channel can look stronger or weaker purely because a customer's path happened to have more or fewer steps, while last-click is indifferent to path length entirely.
Last-click stays live inside Google Ads' bid strategies and reporting; linear has to be rebuilt from an external multi-touch data export since it is no longer computed by either Google Ads or GA4.
Because linear assumes every touch is equally influential, it will assign real credit to touches that were pure coincidence - a stray impression, an accidental click - in a way last-click cannot, since last-click at least requires proximity to the conversion.
Budget decisions built on last-click concentrate spend toward whichever channel closes; budget decisions built on linear tend to spread spend more evenly across the funnel, because every channel that shows up in paths gets some credit.
Which one should you use?
Use Last-Click Attribution when
- You need conversion numbers directly from Google Ads without exporting anything.
- Your paths are typically short, so there is little functional difference between models anyway.
- You are feeding a bid strategy that is built around the platform's own recorded conversions.
- You want a number every stakeholder can pull from the same dashboard without a methodology debate.
Use Linear Attribution when
- You want to see the full breadth of channels that touch a typical customer journey, not just the closer.
- You are auditing whether a channel that never shows up as the last click is still present throughout most paths.
- You have the multi-touch data infrastructure to compute it, since neither Google Ads nor GA4 will do it for you anymore.
- You are building a neutral, no-assumptions baseline before deciding whether a weighted model like position-based or time-decay fits better.
Common questions.
Why doesn't linear attribution show up in my GA4 reports anymore?
GA4 removed linear along with the other rule-based comparison models in 2023 and now points advertisers toward data-driven attribution as the default. If you still want a linear view, you need to export path-level conversion data and calculate the equal split yourself, typically in a spreadsheet or a dedicated attribution tool.
Does linear attribution mean every channel is equally important?
No, it means every touchpoint in a converted path gets an equal share of credit, which is a modeling assumption, not a finding. A channel that shows up once in a ten-touch path and a channel that shows up once in a two-touch path end up with very different actual shares, even though the underlying rule is an even split.
My last-click and linear reports show wildly different numbers for the same campaign - which one do I trust?
Neither is more true, they are answering different questions with different assumptions baked in. Last-click tells you what closed the sale, linear tells you what showed up along the way; the useful move is to look at both and notice where they disagree, since that gap is usually where your real upper-funnel value is hiding.
Can I approximate linear attribution without full multi-touch tracking?
Not accurately. Linear needs every touchpoint in the path, so partial tracking - say, only paid clicks and not organic or email - will understate channels you did not track and overstate the ones you did, which defeats the point of an equal-weight model.
Or stop choosing between them.
AdFlint picks the setting, writes the ads, and keeps optimizing inside the Google and Meta accounts you already own.
Related comparisons
- First-Click Attribution vs Last-Click Attribution
- Last-Click Attribution vs Time-Decay Attribution
- Last-Click Attribution vs Position-Based Attribution
- Data-Driven Attribution vs Last-Click Attribution
- Last-Click Attribution vs Last Non-Direct Click
- First-Click Attribution vs Linear Attribution
- First-Click Attribution vs Position-Based Attribution
- Data-Driven Attribution vs First-Click Attribution