Attribution Models

Stop arguing about which attribution model is right. Run all six and compare.

Every attribution model tells a different story about your marketing. First-touch rewards awareness. Last-touch rewards closing. W-shaped rewards the full pipeline. AttriByte runs all six simultaneously on the same data so you can see every story at once and make decisions grounded in all of them.

The problem with picking one model

Most marketing teams run a single attribution model, then defend it. The paid team wants last-touch because it credits their ad clicks at the bottom of the funnel. The content team wants first-touch because it credits the blog posts that started the journey. Leadership wants something that looks like the data warehouse. Nobody agrees, and the debate kills decisions.

The real question is not which model is correct. It is what each model reveals that the others hide. First-touch and last-touch are single-point models that give 100% of revenue credit to one moment. Linear spreads it equally. Time-decay biases toward recency. U-shaped and W-shaped place structured weights on the milestones that actually define how B2B deals progress: first contact, lead creation, and opportunity opening.

When you can only run one model, you are forced to choose a lens before you have seen the data. AttriByte eliminates that constraint. All six models run on the same cookieless identity graph and the same warehouse events, in parallel, so a single dashboard shows where the models agree (strong signal) and where they diverge (the interesting question).

  • No model switching: all six update in real time as new touchpoints arrive
  • Compare side-by-side across channels, campaigns, or time periods
  • Atlas AI flags where model choice changes a budget recommendation
  • All models run on your warehouse: Snowflake, BigQuery, Redshift, or Postgres

Six models, one platform

Every attribution model AttriByte runs

Each card links to a full explanation: definition, credit distribution, when to use it, and how Attribyte lets you compare it against the others.

What to look for when evaluating attribution platforms

Most attribution tools support one or two models and ask you to pick during onboarding. That decision shapes every report you see for the life of the contract. Before you commit, ask these questions:

  1. How many models does it support natively? If you can only choose one at setup, you will spend years defending that choice instead of learning from the data.
  2. Does it work without third-party cookies? ITP and browser restrictions already affect a large share of B2B traffic. A model built on third-party cookies will degrade silently.
  3. Where does the data live? Vendor-managed data warehouses mean you lose access when you cancel. Bring-your-own warehouse means the data is always yours.
  4. Can it include offline and CRM touchpoints? A demo request, a sales call, and a contract sent are all touchpoints. If they are not in the model, you are missing half the journey.
  5. How does it handle multi-person accounts? B2B buying committees mean multiple contacts touch a single deal. Contact-level attribution misses the account.

AttriByte was built to answer yes to all five. See the full feature breakdown on the product page or compare plan limits on pricing.

FAQ

Common questions about attribution models

Which attribution model is the most accurate?

No single model is universally accurate. First-touch and last-touch are easy to explain but hide most of the journey. Linear is unbiased but treats every touchpoint as equally valuable. Time-decay, U-shaped, and W-shaped apply structured weights that better reflect how B2B deals actually progress. The right answer depends on your sales cycle length, channel mix, and the decision you are trying to make.

Can I run multiple attribution models at the same time?

Yes. AttriByte runs all six models in parallel on the same underlying event data. You can view them side-by-side in a single dashboard, which lets you quickly spot where models disagree and investigate why.

Do attribution models work without third-party cookies?

AttriByte uses cookieless persistent identity built on first-party signals, deterministic email and CRM matching, and device-graph stitching. All six attribution models run on this identity layer, so they are not affected by browser cookie restrictions or ITP.

How does AttriByte handle offline or CRM touchpoints?

Bring-your-own warehouse (Snowflake, BigQuery, Redshift, Postgres) means any CRM event, sales call log, or offline interaction already in your warehouse can be included in the journey. Attribution runs on the full picture, not just web clicks.

What is the difference between U-shaped and W-shaped attribution?

U-shaped emphasises two moments: the first touch (40%) and the lead-creation touch (40%). W-shaped adds a third milestone, opportunity creation, weighting each of the three milestones at 30% and distributing the remaining 10% to all other touches. W-shaped is better suited to longer B2B sales cycles with a clear pipeline stage structure.

See all six models on your own data

Start a free trial or book a 30-minute walkthrough with an AttriByte engineer.

Start free trial