Step 4 of 5 on the chain

Data-driven attribution

Also called DDA.

Attribution that distributes credit across the touchpoints on a path using the platform's own model of what actually made a difference, rather than a fixed rule such as last click.

Why it matters

It changes which conversions your keywords appear to have earned, and therefore what Smart Bidding optimises toward, without anything in your own data changing.

What goes wrong

It is worth separating from value modelling, because they solve different halves. Attribution decides which click gets the credit; valuation decides how much that credit is worth. Fixing one does nothing for the other, and confusing them is why some accounts keep re-solving attribution while their values stay flat.

Next to this

The rest of this step

Measure this on your own data

The diagnostic reads a CRM export in your browser and reports your volume, your match rate and the spread between your leads against the thresholds in this glossary. Nothing is uploaded and no account is needed.

See what your own leads are worth

Read your closed deals and find out whether your lead values actually vary, and by how much. Nothing is stored, and your file is read in your browser.

Try it on a sample dataset