This data bundle provides information regarding aggregated location-based preferences, behaviors, and tendencies of an average person residing in a location, available for all US Zipcodes. The included information is commonly used for marketing purposes, to enable the creation of LTV models, lead generation, and more without violating PII restrictions. Mainly providing scores of the likelihood that a typical individual in the selected location will use a certain type of credit or bank card, the average number of purchases or transactions made using various credit cards, and the likelihood of being issued a certain level of credit card e.g gold or premium, regular, and more. Demographic scores are calculated according to the characteristics of a location’s registered residents. The scores range from 0-1 and 1-6, with lower scores indicating a lower likelihood or preference.

Consumer Habits By Location: Credit And Bank Cards

Data Sample

Consumer habits by location: credit and bank cards data sample

Signals:

Geographic Coverage:

Popular Use-cases:

Lead scoring

LTV prediction

Minimum Inputs:

Zip Code

Zip Code US

Data Dictionary

Consumer habits by location: credit and bank cards signals (41)

Integrate with your tech stack, framework or platform

Explorium Data API

Consume Explorium signals to your analytics solution or CRM.

Integrate the world's best B2B data into any workflow.

API Documentation

cURL

Python

JavaScript

curl --request POST \
     --url 'https://app.explorium.ai/api/bundle/v1/enrich/consumer-habits-by-location-credit-and-bank-cards' \
     --header 'API_KEY: <YOUR_API_KEY>' \
     --header 'Content-Type: application/json' \
     --data '
[{
  "zip code": "53045"
}]'