Act-On AI Predictive Lead Score

  • Updated

AI Predictive Lead Score uses Act-On's machine learning models to estimate, as a percentage, how likely a contact is to convert - right inside the Contact Report you already use.

Why this matters: Traditional lead scoring rules require you to guess and tune which behaviors matter. A model-driven percentage gives you another, complementary signal for prioritizing leads, and because it plugs into segmentation, you can act on it in audience selection, email targeting, and automated programs without extra setup.

What's Changing

Act-On brings the power of AI to lead scoring! AI Predictive Lead Score leverages Act-On's proprietary machine learning models to help you identify leads that are most likely to convert.

AI Predictive Lead Score is presented in the Act-On Contact Report as a percentage value. The percentage value represents the likelihood of the contact converting to a customer.

The percentage value represents the likelihood of the contact converting to a customer.

AI Predictive Lead Scores are available in Act-On's segmentation engine, allowing you to group contacts based on their scores:

The segmentation engine, showing contacts grouped by their AI Predictive Lead Scores.

Segments using AI Predictive Lead Scores as criteria can then be used in audience selection, email campaign targeting, and automated programs.

Learn more about AI Predictive Scoring and sign up for access.

When

Available from September 5th, 2023 for eligible accounts. Unfortunately, this feature is not currently supported for European customers.

Customer Impact

AI Predictive Score is a new AI-powered feature that can help simplify lead scoring and improve marketing outcomes. It's available for accounts that meet eligibility criteria. Account must be connected to a CRM and have a sufficient volume of CRM deals and associated Act-On tracked behaviors. Interested accounts will be evaluated for eligibility.

What's Next

Eligible accounts can sign up for access to AI Predictive Lead Score.

Related to

Was this article helpful?

Have more questions? Submit a request