Our predictive scoring engine is built to power people-based marketing.

We Make People-Based Marketing Work For You

Our predictive scoring engine combines a massive third-party data set, AI, predictive scoring and omnichannel ID matching—the building blocks of people-based marketing—to improve the performance of your marketing campaigns. We use a sample of first- or third-party audience data and offline consumer profile data to calculate a score, from 0 to 99, for 247 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.


Customer Data

It's easy to get started. We start with customer data that represents your campaign’s 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 our  offline consumer profile data to uncover audience insights, which we share with you.


Predictive Scoring Engine

We use the customer data, our offline data and AI using multiple machine learning algorithms 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 247 million U.S. adults based on their likelihood to convert.



TruSignal's predictive scoring enables you to improve targeting, optimize bidding or increase scale of existing campaigns. By leveraging our omnichannel ID matching technology, your audience 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 audience insights about your customers.

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

We use different data. Our massive offline profile data set is linked to verified consumers. We aggregate data from multiple industry-leading sources, covering 12 data categories, to amass a data set with more than 9 billion data points. We also use a rigorous multi-step validation process to evaluate and prioritize the data against a single source of truth.

Data Security and Consumer Privacy

Security and privacy are core principals for TruSignal. We only source data from industry-leading, reputable data providers. While we don’t collect any data, we still provide consumers the ability to opt out of the industry data collection via the NAI and DAA. In addition, consumers can opt out of inclusion in any TruSignal audiences.

Predictive Scoring Pinpoints More of the Right Consumers

TruSignal uses offline data and custom predictive modeling, powered by AI and machine learning algorithms, to predict consumer value. We start with a sample of customer 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 247 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: Licensed third-party data, AI-powered predictive modeling and omnichannel people-based matching deliver more than 360 audience insights, custom Lookalike Audiences and bidding optimization at your fingertips.