Use Case: Nurturing Based on Prediction Score
Overview
This use case provides an example of a nurture flow in Nurture Builder 2.0 based on participants' interest prediction scores. Interest prediction scores are available in SugarPredict-enabled Sugar Market instances.
Description
This example demonstrates a basic nurture flow to identify contacts with low engagement based on low interest prediction scores.
Steps to Complete
In Nurture Builder 2.0:
- Create a nurture campaign.
- Add an Evaluate Field Value conditional element to the nurture flow.
- Configure the element with the following settings:
- CRM type: Contacts
- Field: Interest Prediction Score
- Operator: Equals
- Value: Low
- Element Label Text: Low interest score
- Save the nurture with other desired settings and then publish.
in nurture Analytics, the interest prediction scores are displayed as numbers that correlate to the scores, as follows:
- 5 = Very High
- 4 = High
- 3 = Neutral
- 2 = Low
- 1 = Very Low