Linear Attribution Explained

Quick answer

See how linear attribution spreads credit across touchpoints and what that means for interpretation.

What matters in practice

• Credit is divided evenly across eligible touchpoints.
• It avoids giving everything to one interaction.
• Equal weighting is a modeling choice, not proof that every touchpoint mattered equally.

A practical way to approach it

1. Start with the decision. Be clear about the question the data needs to answer before changing tags, events or reports.
2. Keep the identifiers you need. Preserve the campaign, click, session or customer references needed to follow the journey without collecting data simply because you can.
3. Write down the rules. Use consistent attribution settings, time zones and conversion definitions so comparisons remain meaningful.
4. Test a real journey. Run a controlled visit or conversion and check that the expected event appears once, in the right place, with the right value.
5. Compare like with like. When two reports disagree, line up the date range and definitions first. Many apparent performance problems are measurement differences.

Common mistakes

Small setup differences can turn into large reporting differences. Keep campaign naming consistent, make sure important identifiers survive redirects, and verify that a conversion is recorded only once. When something looks off, reproduce the journey with a test you can follow.

How to evaluate a tracking tool for this job

When evaluating tracking software, try to follow a real campaign journey through it. You should be able to see where the click came from, what happened next and how the eventual outcome was credited. If that path is hard to explain, the setup will be hard to trust.

Next steps

If you want to compare dedicated tracking software, see our ClickMagick review, pricing guide and alternatives guide.