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Your data in action

Off-the-shelf models answer someone else's question. Ours answer yours.
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Custom predictive models built around your data, your audience, and your goals, so you can target smarter, spend less, and act with confidence.

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State
​Built for your problem, not the average problem.

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Generic scores and syndicated models are built to be "good enough" for everyone which means they're rarely great for anyone.

 

We build models from the ground up around your specific objective, trained on the data that actually matters to your outcome.

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The result: sharper targeting, fewer wasted contacts, and predictions you can actually explain to stakeholders.

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What We Model

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  • Audience & universe modeling: identify exactly who to reach, ranked by likelihood to act

  • Propensity & persuasion scores: who's already with you, who's winnable, who's not worth the spend

  • Turnout / conversion modeling: predict who will show up, respond, or buy

  • Custom segmentation: audiences defined by your strategy, not off-the-shelf categories

  • Lookalike & expansion modeling: find more of your best audience

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How We Work
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  1. Define the objective. We start with the decision the model needs to support, not the data we happen to have.

  2. Assemble & clean the data. Your files, our data assets, and third-party sources, matched and validated.

  3. Build & validate. We train, test, and hold-out validate every model before it touches your program.

  4. Deliver & deploy. Scores delivered in the format your team and vendors can actually use.

  5. Measure & retrain. Models get better with feedback, we monitor performance and refresh as conditions change.

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