Our predictive scoring engine is built to power people-based Predictive Score Marketing.

We Make Predictive Score Marketing Work For You

Our predictive scoring engine combines the power of offline data, predictive scoring and cross-channel ID matching—the building blocks of Predictive Score Marketing—to improve the performance of your digital targeting campaigns. We use a sample of first- or third-party audience data and offline consumer profile data to calculate a score for 220 million U.S. adults that predicts who is likely to convert. No walled gardens here. These custom people-based audiences are built from verified profile data to use across desktop, native, mobile, social, video, TV and radio. We implement this process in three simple steps.

1

Audience Data

It's easy to get started. We start with audience data that represents your KPIs. This can include pixels, CRM data, mobile IDs, proximity mapping or DMP or DSP IDs, to name a few. Or, you can tap into one of our third-party data providers to access search or location audience data. Then we use offline consumer profile data to uncover audience insights, which we share with with you.

2

Predictive Scoring Engine

We use the audience data and our massive store of offline data to analyze thousands of data attributes per profile—weighing each according to relative importance—to build a predictive model unique to your KPIs. Then we use this model to calculate a score from 0 to 99 for 220 million U.S. adults to predict who is likely to convert and build our people-based audience.

3

Use the Scores Everywhere

We deliver all of the scores to you to improve targeting, bidding and scale across your marketing initiatives. All of our audiences are platform agnostic and can be used through any of our more than 400 integration points, allowing you to reach the same people across desktop, TV, radio, mobile, native, social and video. Finally, we share more than 360 offline data insights about your audience.

Offline Data Makes Our Scores & Audiences One-of-a-Kind

We use different data. Our offline profile data is linked to verified consumers. We aggregate data from multiple sources, covering 12 data categories, to amass a data set with more than 9 billion data points.

If you use segment targeting, you’re missing millions of great prospects simply because they don’t align with one or two demographic characteristics. Predictive scoring pinpoints high-value consumers, based on thousands of data points each, so you can target the right people at scale and pay the right price for every impression.

Predictive Scoring Pinpoints More of the Right Consumers

TruSignal uses offline data and custom predictive scoring to predict consumer value. We start with a sample of audience data and combine it with our robust offline profile data in our predictive scoring engine to analyze thousands of data attributes per profile, weighing each according to relative importance. The result is a custom predictive model that we use to calculate a score, from 0 to 99, for 220 million U.S. adults that predicts how likely they are to convert.

These people-based audiences are used to enable brands, agencies, data providers, platforms and publishers to pinpoint more of the right people to target and pay the right price for every digital impression.

The TruAudience® Platform: More than 360 audience insights, custom people-based audiences and cross-channel distribution at your fingerips.

 

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