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The infrastructure that makes the closed loop possible.

Most platforms guess who might care about your message. We know because we’ve spent the last decade asking, modeling, and verifying across every adult in America.

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What’s in the data stack.

Our comprehensive data stack serves as the operating system behind our AI-powered platform, powering modeling, audience intelligence, activation, and measurement.

Addressable

A dataset of every U.S. adult, enriched with propriety and third-party data, unified into one system. This includes records for every registered voter.

  • Consumer Data
  • Voter Data
  • Census Data
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Proprietary

Every question we’ve ever asked has been modeled across every adult in America. That means a decade of continuously updated survey research has been fed into an AI modeling engine that generates and refreshes predictive models at scale.

  • Ongoing Survey Data Collection
  • AI-Powered Modeling
  • Model Validation
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Influence

Data on leadership, professional identity, and influential behavior, helping you understand not just who your audiences are, but how they lead and engage.

  • LinkedIn Data
  • Leadership and Industry Data
  • Influential Behavior Models
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Media

The most comprehensive media dataset in the market. Tunnl’s media layer combines observed and stated consumption across screens. The TV dataset covers 30M+ TVs nationwide and delivers unmatched accuracy for understanding local and national viewership across every screen. Recurring surveys calibrate media consumption for every day streaming platforms, social media, and other usage.

  • Automatic Content Recognition (ACR)
  • Set Top Box (STB) TV Data
  • CTV Data
  • TV Ad Occurrence Data
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Benefits

What over a decade of learning gets you.

Longitudinal behavioral data

A decade of opinion research, continuously updated, scored on every U.S. adult.
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Individual-level predictions

We predict how specific individuals will respond, and regularly verify whether they did.
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A closed feedback loop

We measure which people moved, which didn't, and what you should do next. Then the system adjusts.
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Our data

The foundation of the closed loop.

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