Available Data Features
Demographics
- Gender
- Age range
- Income range
Additional Consumer Attributes
- Number of kids
- Grandparent in household
- Net worth
- And more
Data Sources
Shovels’ resident data comes from multiple non-LinkedIn sources. We assemble data about individuals via common linkages between:- Person’s name
- Workplace
- Personal address
- Business or personal contact information
Data Compilation Process
Our process uses consensus and observation date methodology to select the most likely and current data points for each individual.Consensus Validation
We require 3+ different data signals to confirm data linkages, with reliability ensured through exhaustive validation methods and confirmation from actual usage.Conformation
This process ensures data within the “Consensus” realm not only represents frequent occurrences but also adheres to proper formatting and data standards.The data includes both directly observed information and modeled/probabilistic data.
Accessing Resident Data
Via API
To access resident contact information, pass theaddress_id from a permit object into the residents endpoint:
Via EDL
EDL customers have access to:PERSONAL_EMAILS- Personal email addressesBUSINESS_EMAIL- Business email addressesHOMEOWNERfield - Filter forHOMEOWNER = Y
Using Demographics for Homeowner Analysis
You can use available features like:- Income range
- Children present
- Net worth