To make things easier for the end-users of the scoring (your Marketing and Sales teams), you may want to use a label (or "segment") instead of a score. For example, does your team know if a score of 20 is a good score because it's 20 out of 30 or it's a bad score because it's 20 out of 100?
To set the definition of what is a very good, good, medium or low score, you can do it in the Data Science Studio.
MadKudu fields in Salesforce
Labeling thresholds configuration in the Data Studio
How to configure the score thresholds for the Customer Fit Segment?
- You have the permissions of the Architect or Admin role
- You are working on a point-based model
Step 1: Change the thresholds
- Open the model you'd like to edit (or duplicate the live model)
- Go to Model > Thresholds tab
The Thresholds tab allows you to configure the 4 available segments: very good, good, medium, low. You can set the thresholds defining what is the minimum score for each threshold.
For example here, any lead or account with a score
- above 150 (included) will have a customer fit segment Very good
- above 80 (included) but strictly below 150 (i.e. between 80 and 149) will have a customer fit segment Good
- above 30 (included) but strictly below 80 (i.e. between 30 and 79) will have a customer fit segment Medium
- below 30 will have a customer fit segment Low
- Set the thresholds and click Save & compute Performance
- Iterate on the thresholds to make sure you have a distribution of leads or accounts looking like
- 10% of very good
- 20% of good
- 30% of medium
- 40% of low
so that your team only focuses on 10-30% of qualified accounts
Step 2: Deploy changes
Keep these considerations in mind when deploying overrides:
- All your Leads, Contacts, or Accounts that are usually scored by MadKudu will get rescored with the next batch scoring (see when the next Analysis then Sync process should run in the Processes Page).
- Adding, editing, or deleting thresholds that change the record score may trigger automated workflows (out of MadKudu's control) in your CRM which are based on the customer fit or lead grade score (like your MQL workflow).
When you are ready, go to the Deployment tab
- If the live model you are editing is flagged "Live as Standard", then go into the first sub tab "deploy as standard" and click Primary deploy
- If the live model you are editing is flagged "Live as Multi-fit" please open a ticket here, we'll help you with that.