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Get Intent Signals with
Propensity Modeling

Make predictions about who will purchase what and when with help of customer propensity modeling.

  • Quickly identify the true intent within large data sets
  • Enhance your marketing and sales campaigns with intent prediction data
  • Deliver precisely, tailored, and personalized messages
  • Access accurate insights through intelligent dashboards
Predictive AI Put It Forward

Key Features Of Predictive Marketing Software

predictive analytics tools

Dynamic Propensity Modeling

Use different inputs into propensity modeling to understand possible outcomes before committing. Get real-time signals with predictive marketing software.
predictive customer analytics

No Code Configuration

A no-code environment that allows you to work efficiently and scale through configuration with AI predictive modeling.
predictive analytics connectors

Certified Connectors

Hundreds of supported industry-leading pre-built connectors for intent-based marketing solutions.
predictive ai

Embedded 360 Analytics

Insight and dashboards are embedded directly into the software where people work. Understand true customer intent with a predictive customer insights platform.
predictive intent

Integrated Intent Prediction Analysis

Choose which inputs go into your decision-making process. Drive business outcomes with the predictive customer insights platform.
predictive ai transformations

Easy Transformations

Use expressions to transform from any source so it becomes compatible with and acceptable to the destination system.
predictive ai governance

In-flight Governance

Check fields, manage exceptions, and perform error repair on the fly or answer audit calls.
Predictive ai connectivity

Secure On-Premise Connection

Secure and seamless connectivity between the intent-based marketing software and on-premise enterprise applications and systems.

Discover How Businesses Benefit with Put It Forward

Revenue Generation

70-80% sustained gain in revenue

Shorter sales cycle and high-value opportunities

Risk Mitigation

2X increase in qualified sales leads

Identify hidden customer intent to act early

Integration Platform

3X churn reduction

Reduced churn and boosted cross-selling

Reveal Hidden Customer Intent

Understand your customers' true intent to act with help of propensity score, and match that with your engagement efforts. Deliver hyper-personalized experiences using predictive marketing software.

  • Easily create multiple propensity models to predict customer intent and identify the best customer profile

  • Simulate account and contact responses to engagement activities before acting

  • Forecast the likelihood of a sales deal closing with highly accurate propensity models

  • Support your customer-centric teams with intent data, and focus on intent-qualified leads

predictive data analytics
Predictive data analytics Put It Forward

Access Integrated Insights
In One Place

Inform and enhance your account-based marketing teams with the intent data. Drive the volume of prospects and sales by delivering relevant, contextual information at the exact right time.

  • Configure the decision trees and integrate the AI predictive modeling without having to write any code

  • Embed predictive data into your favorite tools so you can see what's moving the needle

  • Automatically share valuable insights directly with the business teams working with an account or contact

Power your Business with the Customer Intent Prediction

No Code AI Solution For The User

Use no code tools to choose the outcome being sought after such as probability that an account or contact will convert or churn.

Account and Contact Based Insights

Machine learning powered sentiment analysis creates deep insights into the customer behavior which allows you to forecast even more accurately about what is going on.

ABM Tools For A/B Scenario Prediction

Visually test different scenarios via AI data analytics before a single engagement with your accounts or contacts to reliably predict the business outcome.

Explainable Artificial Intelligence Decisions

An open box so you can understand and explain easily to others why a data driven decision making process is working the way it is across the data analytics platform.

Organizations successfully using Put It Forward

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Benefit from using customer propensity models


Make your business dynamic, scalable, and effective while increasing ROI with great propensity models:

  • Identify new top-fit segments to boost your profit with help of AI predictive modeling
  • Assess the risk of an event occurring and prevent losses with the intent-based marketing solution
  • Improve customer retention and decrease churn using the predictive marketing software
  • Make better decisions with the intent data, and reduce your costs
  • Optimize your business strategies on a recurring basis with AI predictive modeling

Marketing teams

Predict the likelihood that visitors and leads will perform certain actions. Convert them into customers with help of a predictive customer insights platform:

  • B2B marketers understand which target accounts are actively in the market for your solutions using the ai predictive modeling
  • Better adapt and personalize marketing strategy at the scale with the specific pain of a target account
  • Identify any messaging gaps you may have, and create more tailored content using the predictive marketing software
  • Prioritize engagement and resource allocation on the best-fit accounts and engage in the right moments.

Sales teams

Use several types of propensity models based on the customers you target and their needs. Grow the number of sales with AI predictive modeling:

  • Identify customers' intent to purchase your services, and products, and decide on customized offers
  • Estimate the monetary value of purchases each customer makes during their lifetime with your business - use the AI tools
  • Identify which leads and customers are at risk, and are prone to abandon your business, so try to re-engage them.

Learn How to Succeed With the Put It Forward Propensity Modeling

Grow Your Pipeline with Customer Intent Prediction

Improve the engagement strategy, and deliver personalized experiences to customers based on what they want and need. Give them better customer service with the predictive customer insights platform.

Predictive Analytics Software for Revenue Generation

Analyze the past data and trends along with in-the-moment data, and predict your customers’ behavior. Use this information to target campaigns, and identify high-value customers with intent-based marketing software.

Try the Revenue Churn Prediction Calculator in Action

Estimate how much savings can bring to the usage of the predictive AI platform in your organization. Benefit from revenue projections to make successful investment decisions.

Request a quote for an Intent-based Marketing Solution

Just send us a quick form with brief project details or talk directly to our expert

Put It Forward - Predictive Customer Insights Platform

Understand your customers' needs and improve sales pipeline management with the Put It Forward Business Intelligence.

Put It Forward Platform Manager

Platform Manager

Automate and orchestrate the components of your platform from a single workspace.
Put It Forward Integration Designer

Integration Designer

Code-free design that delivers codeless integration, business rules and data transformations.
Put It Forward Data Governance Module

Data Governance

Report at any moment in time what is happening with your data.
Put It Forward Predictive Analytics

Delphi - Predictive

Built-in predictive analytics and insights that you can control directly.
Put It Forward - Foresight Embedded Analytics

Foresight - Insights

Embedded 360 degree insights of an account, contact or member.

Frequently Asked Questions about Intent Prediction

What is propensity modeling?

Propensity modeling is a statistical technique used to predict the likelihood of a certain event occurring. 

For example, a retailer might use propensity modeling to predict the likelihood of a customer making a purchase, or a bank might use it to predict the likelihood of a loan being repaid. 

Propensity models are typically built using historical data, and the predictions they make are based on the relationships between different variables in that data. For example, a model might use a customer's past purchase history to see if the person is likely to make a purchase in the future again.

What are the benefits of customer propensity analysis?

There are many benefits of customer propensity analysis, including the ability to:

  • Understand customer behavior - customer intent modeling can help organizations better understand why customers make specific decisions. This understanding can be used to improve marketing strategies, products, and services.
  • Identify spending trends - by analyzing customer behavior, organizations can identify spending trends and adjust their budget accordingly.
  • Increase customer loyalty - customers who feel understood and valued are more likely to be loyal to a business. Organizations that benefit from customer propensity analysis can create targeted campaigns and offers that are more likely to boost customer loyalty.
  • Improve customer lifetime value - by increasing customer loyalty and understanding spending trends, organizations can improve customer lifetime value, meaning they can make more money from each customer over the long term.
  • Reduce marketing costs - effective customer intent modeling helps organizations to reduce unnecessary marketing expenditure. This is because organizations are able to reach the right customers with the right message, instead of wasting money on advertising that isn’t likely to bring the expected results.
How to understand a customers' true intent with customer propensity analysis?

Customer propensity analysis software makes it possible to understand a customers' true intent by studying past customer behavior and analyzing trends.

This software can help identify patterns and correlations in customer data that would otherwise be difficult to discern. This information can then be used to make predictions about future customer behavior, including the likelihood of making a purchase or taking a particular action. 

Customer propensity analysis can be used to improve marketing campaigns and target customers more effectively.