How Ruler’s impression attribution works

Step 1
MTA tracks clicks from Direct & Brand
Ruler’s first party multi-touch data driven attribution tracks customer journeys through click based activity, identifying bottom of funnel channels including direct and brand search traffic.
Step 2
Attribute impressions to conversions
Applying a machine learning-based model, Ruler’s sophisticated algorithms matches impressions to eventual conversions and revenue.


Step 3
Assign weighting
Once impressions are matched to conversions, Ruler uses modelling to distribute weighted conversions and revenue to the new sources.
Step 4
Optimise campaigns based on new data
Use the model outputs to prove ROI of top of funnel channels as well as optimising campaigns on a fairly weighted full funnel view of all marketing spend.

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