Predictive Lead Scoring Models That Actually Work
AI analytics driven lead scoring that creates real marketing value.
- Lead scoring that is driven by predictive analytics
- Go beyond traditional funnel based lead score models
- Identifies intent in the moment probabilities as you engage
Marketing Automation Requirements for Predictive Lead Scoring
Prioritize Leads Across Business
Time Based Buyer Journey Lead Scoring
What If Lead Nurturing Scenarios
Explainable Decisions Guide
Analytics That Shape the Buyer Journey
Designed to be used by the professional that needs to include multiple types of data in their lead score models. Spanning marketing, sales and service types of activity.
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Include engagement, sentiment and platform behavioral data in process to complete the lead scoring solution
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Dynamicially adjust the input parameters to predict which lead nurturing activity is going to produce an effective result
You Control With Rule Based Software
Work directly with predictive lead scoring analytics models or the data scientists on your team to define which criteria the machine learning should consider.
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Combine lead scoring with propensity models to direct your customer to the right solution everytime
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View in the context of activity as it's embedded into other applications and points of use with Put It Forward Foresight
Learn More About How To Succeed With Put It Forward Delphi
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 by AI Automation
Repeatable patterns for success to scale by automation and AI driven processes. Learn from how we’ve managed to leverage these two concepts for scale.
Ready to Take the Next Step With Predictive Lead Scoring?
Control Your Data Story - Why Partner With Put It Forward?
Proven Scale
Independent Roadmap
Complete Data Platform
Secure and Compliance Ready
Put It Forward - An Integrated Solution Suite
Modern tools that run alone or together to help you scale the intelligent data story
Platform Manager
Integration Designer
Delphi - Predictive
Key Features Of A Predictive Data Analytics Platform
Dynamic Prediction Modelling
No Code Configuration
Certified Connectors
Embedded 360 Analytics
Integrated Intent Analysis
Easy Transformations
In-flight Governance
Secure On-Premise Connection
Frequently Asked Questions about Predictive Lead Scoring
Predictive lead scoring is a predictive AI solution that shapes the buyer journey. It helps to identify the intent to action in the moment, connecting and analyzing the behavior data. Put It Forward Delphi is an open predictive lead scoring system aimed to predict which lead nurturing activity is going to produce an effective result.
Lead scoring predictive analytics helps to create better conversion models.
Some lead scoring benefits are as following:
- Automatically identify revenue opportunity and churn risk;
- Predict segment preferences;
- Identify the customer intent to purchase;
- Identify new target audiences based on probabilities.
The predictive lead scoring software can help identify the intent to purchase by analyzing historical customer data and identifying patterns that indicate a likelihood of an event occurring.
The lead scoring software by Put It Forward allows you to collect behavioral data and complete the engagement and sentiment analysis to enhance the buying process. It also makes it possible to predict which lead nurturing activity is going to produce an effective result.