Give your models the signals they need to actually perform

First-party data tells you what happened in your ecosystem. It misses the signals that reveal earliest intent and separate models that lift from ones that stall. Resonate gives your team the signal depth to build models that perform.

Data Science Hero

Why do good models stall?

The gap between a model that performs and one that doesn't usually isn't the algorithm. It's the data feeding it. Predictive consumer intelligence, the ability to know every consumer as an individual and predict what they'll do next, gives your models individual-level signals deep enough to capture behavioral nuance and current enough to reflect today's market. Whether you're predicting who will buy, renew, vote, or give, your models learn from a complete picture, not a partial one.

  • Fill your behavioral blind spots
    Add the search, browsing, and shifting intent signals that happen outside your channels, drawn from 30B+ daily interactions.
  • Keep models current as behavior shifts
    Regularly refreshed signals keep predictions aligned with today's market, so lift holds and drift stays low.
  • Plug into the pipelines you run
    Pre-processed, machine-readable vectors drop into gradient boosting, neural networks, and other modern frameworks with no transformation.
  • Meet the governance bar
    Build on a transparent, documented methodology your legal and compliance teams can audit.

Predict who will convert, and who will churn

Score your existing database for propensity to buy, renew, vote, or give, or score the full US online adult population to surface net-new, high-propensity targets your first-party data can't see. Churn models catch at-risk customers earlier, while there's still time to act. rAI-powered Predictive Modeling delivers scored segments in days, not months.

Lift the models you already run

Feed individual-level behavioral signals into your existing models as enrichment features. Delivered as pre-processed vectors appended to your customer or prospect records, they add the depth first-party data can't, with no new infrastructure required.

Bring 12,000+ attributes into your stack

Add individual-level attributes to your records, or bring the full attribute catalog into your consumer data layer across the US adult population, with no customer file required. Values, motivations, and intent become features every model can use.

Understand the whole human with AI-powered data

  • 15K
    Precise consumer attributes to minimize data gaps
  • 250M
    Extensive profiles that create value in large-scale decision-making
  • 1B
    IDs to understand where consumers engage