Access 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 display certain behaviors or preferences in the banking service sector, including position toward online banking, the preferred method for paying bills, and more. Demographic scores are calculated according to the characteristics of a location’s registered residents. The scores range from 1-6, with lower scores indicating a lower likelihood or preference.

Consumer Habits By Location: Banking Services

Data Sample

Consumer habits by location: banking services data sample

Signals:

Geographic Coverage:

Popular Use-cases:

Lead scoring

LTV prediction

Minimum Inputs:

Zip Code US

Zip Code

Data Dictionary

Consumer habits by location: banking services signals (7)

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-banking-services' \
     --header 'API_KEY: <YOUR_API_KEY>' \
     --header 'Content-Type: application/json' \
     --data '
[{
  "zip code us": "53045"
}]'