Linear Attribution

MTA model distributing credit equally across all touchpoints. A working definition from the RGM marketing glossary.

Schematic — Linear Attribution

MTA model distributing credit equally across all touchpoints.

Term: Linear Attribution
Field: Attribution
Category: Attribution

What it means

One idea, plainly put.Linear Attribution is a conversion-crediting method. Fix what it covers before the team debates tactics, and the rest of the conversation gets easier.

MTA model distributing credit equally across all touchpoints.

Attribution assigns credit for outcomes to touchpoints along the customer journey. No attribution model is fully accurate — each has trade-offs between simplicity, accuracy, and bias toward certain channels.

As a attribution term, Linear Attribution means a conversion-crediting method. Settle what it covers before the planning starts.

How it operates

Hold that thought.Linear Attribution works one way for a lean team and another for a large one. The mechanics follow the context.

Linear Attribution behaves unlike a fixed rule. An early-stage brand and a mature one will apply Linear Attribution on different terms. The mechanics follow the inputs around it. Treat Linear Attribution as a buzzword and the reporting misleads; agree on it and the numbers hold.

Keep the order simple: define Linear Attribution for your context, then decide how to act. Reverse it and the budget chases a number nobody agreed on. Here is the short version.

When it matters

Read that twice.Reach for Linear Attribution when a real decision rides on it -- a budget, a metric, or a comparison. Otherwise it is reference.

Linear Attribution matters at the point of a decision. In attribution, three moments come up again and again. Outside them, Linear Attribution is reference material.

Setting budget. Linear Attribution signals which line earns the marginal spend.
Choosing a metric. Linear Attribution tells you if the read reflects real effect.
Comparing options. Linear Attribution adjusts a compare so the gap is honest.

A concrete walk-through

Look at it this way.The walk-through runs Linear Attribution through work modeled on Casper, so the concept meets real constraints.

Consider Casper. Running a last-click audit, the team put Linear Attribution at the center of the call. With a clean baseline and one fixed definition of Linear Attribution, they read what moved: 35% of credited sales proved non-incremental. The discipline is the lesson.

Worked example for Linear Attribution -- illustrative figures, RGM analysis
Stage	The step taken	What it bought
Baseline	Took a before reading on Linear Attribution.	Something concrete to compare to.
Define	Agreed a single definition of Linear Attribution.	A shared definition up front.
Act	A last-click audit — one variable.	One change, a clean read.
Result	35% of credited sales proved non-incremental	A decision the data earned.

These Linear Attribution numbers are illustrative -- RGM analysis. The structure travels; the specific figures do not.

Mistakes worth avoiding

Here is the short version.Teams slip on Linear Attribution in four familiar ways. Each makes a soft assumption look like a precise number.

One blanket rule. Applying Linear Attribution the same way everywhere. Split it by audience, channel, and business model.
No context. Reporting Linear Attribution with no baseline. A bare number cannot be judged.
Chasing the word. Optimizing Linear Attribution for its own sake. Check it tracks a real outcome.
Apples to oranges. Comparing Linear Attribution across firms raw. Adjust for pricing and cycle before you read it.

Questions teams ask

What is Linear Attribution?

MTA model distributing credit equally across all touchpoints. In short, fix that meaning before any tactic is debated.

Why does Linear Attribution matter?

Linear Attribution earns its place when it shapes a real decision. The leverage is in correct use, not in the word itself.

How do teams use Linear Attribution?

Teams put Linear Attribution to work on a spend split, a metric, or a head-to-head call. See the Casper walk-through above.

What is the most common mistake with Linear Attribution?

Treating Linear Attribution as one blanket rule and reporting it with no baseline. Both hide a soft assumption.

Where can I go deeper on Linear Attribution?

Browse the related terms below, then dig into marketing mix modeling, plus server-side tagging.

What is Linear Attribution?: MTA model distributing credit equally across all touchpoints. In short, fix that meaning before any tactic is debated.
Why does Linear Attribution matter?: Linear Attribution earns its place when it shapes a real decision. The leverage is in correct use, not in the word itself.
How do teams use Linear Attribution?: Teams put Linear Attribution to work on a spend split, a metric, or a head-to-head call. See the Casper walk-through above.