Get Intent Signals with
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
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
Benefit from using customer propensity models
Make your business dynamic, scalable, and effective while increasing ROI with great propensity models:
Predict the likelihood that visitors and leads will perform certain actions. Convert them into customers with help of a predictive customer insights platform:
Use several types of propensity models based on the customers you target and their needs. Grow the number of sales with AI predictive modeling:
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.
Understand your customers' needs and improve sales pipeline management with the Put It Forward Business Intelligence.
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.
There are many benefits of customer propensity analysis, including the ability to:
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.