Predictive Model ListsFind Prospects Just Like Your Best Customers
Most Likely To Convert
AI Predictive Models use regressions and machine learning to rank every prospect so you get the very best audience
Custom AI Models Based on Your Best Customers
By creating a custom predictive model based on your best customers, then using that Model to predict which non-customers in your market area are most likely to convert, you get an audience (names and addresses) of the highest scoring prospects.
You can also append your "customer personas" onto the list for personalization.
Predictive Model Lists boost conversions by 30 to 50% vs. demographic lists alone.
Predictive Model Lists – Key Benefits
30-50% Higher Conversions
Predictive Model Lists boost conversions dramatically vs. demographic lists
AI-Powered Analytics
Machine learning identifies patterns you might never find manually
Highest Scoring Prospects
Get only the top-scoring individuals most likely to convert
Email & Phone Options
Option for email or phone append
Privacy Compliant
Suppress existing customers, leads or privacy opt-outs
Local Targeting
Identify nearby prospects living near your physical locations (optional)
Get Top Scoring Lists Based on the Model
The Predictive Model scores every household in the U.S. from 1 to 100 with "100" being the top one percent. We can pull lists based on geo and model percentile. The Lift Curve shows the expected conversion lift over average based on the cumulative percentiles chosen.
Primary Products
Custom Predictive Model and Report
Complete AI analysis of your best customers with detailed reporting on key factors and conversion patterns
Predictive Lists
Names and addresses of highest scoring individuals in your market most likely to convert
How It Works
Analyze Your Best Customers
We analyze hundreds of attributes from your best converting customers
Build Custom AI Model
Machine learning identifies patterns and creates your unique predictive model
Score All Prospects
Every household in your market area receives a conversion likelihood score
Get Top Prospects
Receive names and addresses of the highest-scoring prospects for your campaigns
Ready to Clone Your Best Customers?
Get started with a Custom Predictive Model and start reaching prospects most likely to convert.
Common Questions About Predictive Prospect Audiences
What is a predictive prospect audience?
A predictive prospect audience uses data and statistical modeling to identify people who are most likely to become customers or take a desired action. Instead of relying primarily on broad demographic filters, predictive targeting looks for the characteristics that distinguish actual converters.
How does Inbound Insight build a Predictive Model List?
Inbound Insight uses a marketer's best customers or previous converters as the modeling population. Predictive analytics identify characteristics associated with conversion and use those patterns to identify and rank new prospects who are most likely to convert.
How are Predictive Model Lists different from demographic mailing lists?
Traditional demographic lists select prospects using predetermined characteristics such as age, income, homeownership or geography. Predictive Model Lists analyze actual customer or converter data to determine which combination of characteristics best predicts conversion.
Can predictive modeling be used for direct mail?
Yes. Predictive modeling can be used to rank and select prospects for direct mail campaigns. Marketers can focus their mailing investment on higher-scoring prospects rather than treating every available prospect as equally likely to respond.
Can Inbound Insight test whether predictive modeling would improve an existing campaign?
Yes. An existing campaign file containing responders or converters can be scored retrospectively to determine whether predictive scoring would have concentrated more conversions among the higher-scoring prospects. See also Campaign Attribution Analysis.
What information is needed to build a predictive prospect model?
Typically, the starting point is a file of existing customers, previous responders or other known converters. The quality and quantity of conversion data available affects the modeling approach and the strength of the resulting model. Timing signals from Online Intent Leads can be layered on as well.
Industries Using Predictive Model Lists
Predictive prospect audiences are used across these industries to find people who resemble the best customers.