TruSignal Data 101

TruSignal gives you a more precise way to target consumers who look like your existing best customers at scale. A custom and syndicated solutions extend across 1:1 digital marketing channels and advertising platforms – including display and pre-roll video. Based on patented data mining and predictive analytics technology, a TruSignal audience combines data from 40 different sources of verified, offline profile data. Their data helps brand advertisers, direct marketers and their agencies “cut through the noise” of online audience targeting data and deliver highly precise and highly scalable prospecting and branding campaigns.

Description of Data Types

Auto Insurance– Prospects who have similar profile characteristics of consumers who applied for and purchased auto insurance through online channels. Applicable to insurance carriers, brokers or aggregators offering auto insurance products.

Term Life Insurance– Prospects who have similar profile characteristics of consumers who applied for and purchased term life insurance through online channels. Applicable to insurance carriers, brokers and aggregators offering term life products.

Higher Education– Prospects who have similar profile characteristics of consumers who applied for and enrolled in national higher education programs.

Mortgage Refinance– Prospects who have similar profile characteristics of consumers who applied for and refinanced their mortgage through online channels. Gives higher weighting to larger loan values, but still within normal Fannie Mae guidelines.

Estimated Household Income– An estimate of household income, based upon many profile data factors, including demographics, geography, past purchase behavior, public records, financial information, and census information.

Underbanked Consumers– Prospects who have similar profile characteristics of consumers who maintain nontraditional banking relationships. Applicable to money transfer services, short term loans, and prepaid debit products.

Political Affiliation– Prospects who have similar profile characteristics of consumers who are known Democrats, Republicans or Independents.

Political Donors– Prospects who have similar profile characteristics of consumers who previously donated money to either the Republican or Democratic parties.

Estimated Financial Health– An anonymous estimate of consumers’ ability to satisfy their existing financial obligations. These segments were designed for targeting campaigns where financial quality is an important consideration, such as with mortgages, credit cards, insurance, investment services, telecommunications services and auto loans or purchases.

Collection Methodology

TruSignal aggregates a wide variety of offline consumer profile data from over 40 third party data sources including: financial databases, property records, census, demographics, past purchases, household databases, hobbies, and interests. These data sets are the “raw materials” used to define each TruAudience formula.

In an offline process, TruSignal compares samples of target customer data against thousands of third party data attributes using proven regression modeling techniques. The process discovers over 100 unique predictive factors that define a high value “lookalike” consumer, giving you all of the power and precision of many datasets distilled into a single, custom audience.

Use Our Data For

TruAudience segments work well for upper funnel prospecting and branding campaigns, where the objective is reaching the “right” consumers earlier in the consideration cycle. We specialize in targeting your most desirable new prospects by combining many different kinds of consumer profile data. TruSignal does not use any in-market or intender data, which is most appropriate for bottom funnel conversion campaigns.

TruSignal can even build custom audiences for specific campaigns, based on a historical record sample. The custom development process ensures that we are using all of the right data to profile the audience and it allows us to on-board unique datasets that are specific to a given campaign objective. Historical performance data can be extracted from CRM platforms, campaign landing page pixels or from within an existing DMP.