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Predictive consumer modeling powered by 250M+ profiles and 47,000+ behavioral dimensions. Score any audience on propensity, churn, LTV, and next-best-product — so you act before your competitors react.
Predictive modeling uses historical patterns to forecast future behavior. Instead of guessing which customers will buy, churn, or upgrade, Predict ID analyzes millions of data points to calculate the probability of each outcome for every individual in your audience.
Think of it as scoring. Every person gets a number. High scores mean high likelihood. You focus your budget on the people most likely to convert, save the ones most likely to leave, and ignore the ones who were never going to buy in the first place.
The difference with Predict ID is scale. Most predictive tools work only with your first-party data — a few thousand records. Predict ID trains on behavioral signals from 250M+ consumers across 47,000+ dimensions, giving your models a foundation that no competitor can replicate from their CRM alone.
Without Predict ID
With Predict ID
Choose the model that matches your business objective, or run all four to build a complete predictive profile for every consumer.
Score every consumer on their likelihood to purchase your product or service within a given timeframe. Trained on purchase history, intent signals, and behavioral clusters from 250M+ profiles.
Identify which customers are most likely to disengage or cancel before they do. The model detects behavioral shifts, declining engagement patterns, and competitive switching signals.
Forecast the long-term revenue potential of every customer and prospect. LTV scores factor in purchase frequency, basket size, loyalty indicators, and financial capacity.
Predict which product or service category a consumer is most likely to buy next. Recommendations are based on purchase sequences, cross-sell patterns, and interest graph analysis.
A clear pipeline from raw data to actionable intelligence.
Your Data + Our Data
Upload your customer file or use an Audience ID segment. We combine your first-party data with our 47,000+ attribute graph.
Machine Learning Engine
Gradient-boosted decision trees and neural networks analyze thousands of behavioral patterns to generate predictive scores for every record.
Scored & Ranked Records
Every record receives a percentile score, risk tier, and recommended action. Export as CSV, push to CRM, or activate through Audience ID.
Every model is benchmarked against holdout datasets. We publish our accuracy metrics because we are confident in them.
85%+
Propensity Model AUC
Area under the ROC curve across all categories
78%+
Churn Prediction Recall
Percentage of at-risk customers correctly identified
0.91
LTV Correlation
Pearson correlation between predicted and actual LTV
<4 hrs
Model Training Time
From data upload to production-ready scores
Predict ID is powerful on its own. But when you feed it data that has been matched and enriched through Clean ID, models train on richer feature sets and produce more accurate predictions.
Clean ID
Match & Enrich
Predict ID
Score & Rank
Audience ID
Activate & Expand
See how predictive scoring transforms your marketing ROI. Get a live demo with your own data.