ML post-click + post-view is a multi-touch, cross-channel, cross-device attribution model. It assigns fractional parts of conversion and conversion value based not only on behaviour on the website after the click, but also on aggregated metrics that occurred beyond the website. These metrics include ad impressions, cost-per-click, cost-per-view available in marketing platforms such as Google Ads and Facebook Ads.
For more information read our SegmentStream basics.


You can name the attribution model as you want to see it displayed in the reports dashboard.

Attribution type

Select the ML post-click + post-view option from the selector.

Attribution adjustment

You can adjust the balance between Clicks and Views on which the attribution model bases its predictions by moving the slider. When the slider is closer to the Clicks side, the attribution model bases its predictions mostly on first-party data. Conversely, when it's closer to the Views side, it uses more third-party data.
Moving the slider towards the Views side can provide valuable insights for businesses where users have multiple cross-browser sessions before converting.

Significant traffic sources

You can adjust your attribution model by excluding unwanted referrers.
For instance, if you wish to provide credit only to paid channels like Facebook, you can set up the following filter:
Dimension Ad Platform Operator is not equal to (not set)
In this case, SegmentStream will attribute all the value to the last paid click, ignoring not only direct visits, but also organic, email, referral, and other channels.
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