Predictive lead scoring improves productivity for all teams and returns on marketing investment
With AI lead scoring, go beyond traditional funnel-based lead scores and identify intent at the moment as you engage.
Supercharge your marketing automation with predictive lead scoring

Prioritize Leads Across Your Business
Connect behavioral data across the enterprise from marketing, sales, and customer success to build the predictive lead-scoring algorithm.

Time-Based Buyer Journey Lead Scoring
Use embedded machine learning and AI analytics to uncover how and what affects the lead scoring model over time.

What If Lead Nurturing Scenarios
Change the lead scoring inputs you're working with and let the AI tool choose the optimal path and outcome.
Who is benefiting from predictive lead scoring
The next level of marketing automation
Empower data-driven decisions in real-time and optimize ROI with AI-infused marketing planning solutions.

Connect Data Sources
This solution is designed for professionals who must include multiple data types in their lead-scoring models, spanning marketing, sales, and customer success. Include engagement, sentiment, and platform behavioral data to complete the lead scoring model.

Shape the Buyer Journey
Work directly with predictive lead scoring models or the data scientists on your team to define which criteria the machine learning should consider. Combine lead scoring with propensity models to lead your customer to the right solution.
Key Features of Predictive Lead Scoring Software

Dynamic Prediction Modelling

No Code Configuration

Certified Connectors

Embedded 360 Analytics

Integrated Intent Analysis

Easy Transformations

In-flight Governance

Secure On-Premise Connection
Improve conversions with AI lead scoring

Foresight - 360 Intelligence
AI data analytics and predictive insights embedded into the places where your team does the most valuable work - in real time with the customer. Include sentiment analysis right into active decision making process.

7 Steps to Closed Loop AI
Every AI data analytics project has 7 core steps that need to be in place to ensure predictive success. Find them here with the detail needed to validate conditions for success are present..

Scaling AI Automation
Repeatable patterns for success to scale by automation and AI-driven processes. Learn how we’ve managed to leverage these two concepts for scale and deliver better business outcomes.