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“First Click” Attribution Model

What is it?

Assigns 100% credit to the first channel that brought the user.

Playful explanation

The Party Invitation 🎉 The person who made the original invitation to the party gets all the credit.

Practical example

User first clicks on an Instagram ad, then receives emails, and finally converts via remarketing. Instagram receives 100%.

”Assisted” Attribution Model

What is it?

Assigns 100% credit to all channels that participated in the journey.

Playful explanation

The Relay Race 🏃‍♂️ All runners on the team get gold medals.

Practical example

InstagramEmailGoogle → Purchase → all receive 100%.

”Last Click” Attribution Model

What is it?

Assigns 100% credit to the last channel accessed before conversion.

Playful explanation

The Goal in Soccer ⚽ Only the person who kicks the goal gets the credit.

Practical example

GoogleInstagramRemarketing → Purchase → Remarketing receives 100%.

”Last Click Paid” Attribution Model

What is it?

Assigns 100% credit to the last paid channel clicked before conversion.

Playful explanation

Goal with Sponsorship ⚽ Only credit counts for the last “player with sponsorship on their jersey”.

Practical example

Facebook AdsEmailGoogle AdsOrganic → Purchase → Google Ads receives.

”Last Click Non Direct” Attribution Model

What is it?

Assigns 100% credit to the last non-Direct channel before conversion.

Playful explanation

The Smart GPS 🧭 We ignore shortcuts (direct/organic) and look at who actually directed the path.

Practical example

Meta AdsDirect → Purchase → Meta Ads receives 100%.

”Linear” Attribution Model

What is it?

Divides credit equally among all touchpoints.

Playful explanation

Cake in Equal Parts 🎂 Each participant gets the same slice of cake.

Practical example

InstagramGoogleEmail → Purchase → each receives 33.3%.

”U-Shaped” Attribution Model

What is it?

40% for First Click, 40% for Last Click, and 20% distributed equally among the remaining steps.

Playful explanation

Opening and Closing 🎭 Whoever opens the show and whoever closes the show get the spotlight; the middle divides the rest.

Practical example

InstagramGoogleEmail → Purchase → 40% Instagram, 40% Email, 20% Google.

”Markov (Markov Chains)” Attribution Model

What is it?

Probabilistic model that calculates the real impact of each channel by simulating removal and observing the drop in conversions.

Playful explanation

The Puzzle 🧩 If you remove a piece and the image doesn’t complete, it was essential.

Practical example

Removing Meta Ads → total conversions drop → Meta Ads played an essential role.

”Clicks + Views” Attribution Model (New)

What is it?

100% credit for clicks tracked by Nemu Conversions by view-through officially reported by platforms (Meta, TikTok, Pinterest) It doesn’t replace the click model — it adds exposure impact.

Playful explanation

The Billboard that Convinces 👀 Not everyone enters the store right when they see the billboard.
Some pass by, remember the brand later, and come back to buy.
Who entered through the door gets credit for the click.
Who was influenced by the billboard also counts.

Practical example

TikTok (view) → User doesn’t click → Days later enters directly → Purchase
TikTok (click) → User clicks → Purchase
Result in Clicks + Views:
  • Sales by click (Nemu)
    • Sales by view (Platform API)
If TikTok had:
  • 10 sales by click
  • 5 sales by view
15 sales attributed in total

When to use?

Ideal when:
  • The brand invests heavily in social
  • There are awareness campaigns
  • You want to bring Nemu’s analysis closer to the view managers see within platforms

Summary Table

ModelBest for understanding…
AssistedChannel collaboration
First ClickWho brings new visitors
Last ClickWho closes sales
Last Click PaidDirect return on paid media
Last Click Non DirectLast non-direct/organic click
LinearBalanced collaboration
U-ShapedStrength of journey start and end
MarkovReal impact of each channel
Clicks + ViewsCombined click + exposure impact