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Key Features Of Predictive Marketing Software
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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
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
Account and Contact Based Insights
ABM Tools For A/B Scenario Prediction
Explainable Artificial Intelligence Decisions
Organizations successfully using Put It Forward
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
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.
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.
Request a quote for an Intent-based Marketing Solution
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Put It Forward - Predictive Customer Insights Platform
Understand your customers' needs and improve sales pipeline management with the Put It Forward Business Intelligence.
Frequently Asked Questions about Intent Prediction
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:
- 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.
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.