Trestle provides a few demographic attributes for various use cases, including lead and call routing or for modeling and analytics purposes. These include age, gender, and income.
A few additional items to mention:
Coverage in the U.S. for these attributes will be pretty high as we generally see upwards of 80+% coverage.
The income attribute is aggregated at household or zip+4 level for various reasons, including better overall accuracy and to adhere to privacy restrictions. However, we do see customers using it for various modeling purposes. Lead and call routing have much better results with this authoritative data than working with low coverage or self-reported individual data from surveys.
While we have seen customers request more attributes, everything from education level and presence of children to the number of vehicles per household, we have seen consistently that age, gender, and income are the core attributes that provide most of the value for most of the use cases. This long tail of additional attributes, while interesting, does not add as much incremental lift in the models and, in fact, adds noise due to the related coverage and accuracy issues. That being said, if there are specific attributes that you think are a better fit for your specific use case, we would like to learn more.
While age and gender are available as part of our existing APIs, income level attributes are available upon request. To learn more about Trestle’s demographic data attributes and our roadmap there or to get access to these attributes, please contact us at email@example.com.