Adobe Audience Finder

People-based predictive audiences

Company Overview

Started as a stand along business in 2012, TruSignal builds people-based predictive audiences. We uses offline data and predictive scoring to calculate a 0 to 99 score for 220 million U.S. adults. This score can be used to more accurately and efficiently determine who to target and who to avoid across every digital channel and device.

Our pre-built Specialized Audiences provide powerful solutions for Auto, Finance Services, B2B, Political and Interests, with more than 900 on-the-shelve audiences ready today.

In addition, TruSignal can create custom-built audiences that pinpoint people who are twice as likely to convert for your acquisition campaigns and expand the scale of your prospecting campaigns by identifying 25 million prospects who look like your existing customers.

Data Collection Methodology

Our people-based offline core data set is aggregated from multiple data providers covering hundreds of actual data sources across 12 data categories. The data set covers 220 million U.S. adult (99% of the population) with approximately 2,700 data points per profile. We cross verify multiple sources to ensure the highest quality data.

Types of Data Sets

TruSignal’s unique Audience Data sets include:

Auto data: 187 million auto owners, accounting for 70% of vehicles on the road today, sourced from third-party and dealer service records for individual and household targeting.
Business Data: Sourced from 200 public and proprietary sources, our business data covers 90 million business contacts across small, medium, and large companies.
Actual Voter and Political Donor Data: 160 million updated voter records aggregated and cross-verified from the most robust nationwide and state voter files. Political audiences are only available for political purposes.
Financial Services: Sourced from several major credit bureaus, investment houses, financial institutions applications forms, public records. All the data is deterministic and cross-verified.

Key Differentiators:

There are four core differentiators:

First is unique industry data — 187 million actual Auto Owners and 90 million business contact for B2B.
Second is using predictive scoring to identifying the best people to target and who to avoid, which is significantly more effective and efficient that the competition.
Third is our scale. Since we score 220 M U.S. adults, you’re able to adjust the scale of the audience to fit any budget needs.
Finally, we’re ability to create custom audiences in less than 48 hours compared with the weeks required by others.

Best Use Cases:

Acquisition & Lookalike campaigns: Our Lookalike Audiences target consumers who are highly likely to convert for your product or brand with greater accuracy and scale to deliver increased efficiently and effectiveness.
Expand Scale: Increase size of your existing audiences without sacrificing accuracy.
Auto Conquesting: Use actual auto owner data to target competitive brands.
Auto Buyers: Use Near Market Auto Buyers to target consumers likely to buy and with the financial capacity to afford the vehicle.
B2B: Use deterministic business data to target contacts by title, company size, industry.
Financial Services: Target based on deterministic data of estimated household income or use predictive audiences to pinpoint people likely to apply for a mortgage or buy insurance.
Political Issues and Fund Raising: Use actual nationwide voter data and predictive scoring to target actual voters, donors and constituents likely to act.

People-based predictive audiences

Company Overview

Data Collection Methodology

Types of Data Sets

Key Differentiators:

Mobile Available: Yes

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Best Use Cases:

Contact:

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