When setting up a predictive model with Leadspace, you will be provided with a numeric predictive score (0-100) for each lead/contact. It is best practice to convert these scores to A-D buckets. This will help with prioritization, campaigns, and overall better experience for teams. This article will guide you on how to do this in Marketo.
You will need to create a new field (ideally in Salesforce so that this will automatically be created in Marketo) called 'LS Predictive Segment' as a STRING field type. If you have multiple models the name of the field will be 'LS Predictive Segment - <MODEL_NAME>
Smart Campaign Setup
Name: LS Predictive Segment Conversion
Leadspace Predictive Score: is not empty
LS Enrichment Status is not 'Not Enriched'
Can also add criteria such as 'Leadspace Predictive Score' changed in the last 'X' days
Drag a 'Change Data Value'
Set each of the buckets based on the Leadspace Predictive Score.
These buckets can be tweaked to your liking, but our modeling process is based on having around 25% of accounts be in the Aand B buckets (lift of 3-5%) more than the average accounts.
If you have multiple models you will need to create another Data Value Change for the other models.
Select either 'once every 'X' days' (90 or 180 days, should align with your regular database refreshes) or 'every time'.
Article on how to do this Salesforce, please refer to How To Convert Predictive Score To A-D Segments in Salesforce
For additional questions regarding the setup of this campaign, please reach out to your CSM or email us at email@example.com