Quanta Household Segmentation
A consumer segmentation built at household level using the most innovative deep learning techniques to accurately predict customer and prospect profiles
Get to know your customer base at household level
Locate and target prospects by finding look-a-likes
Understand your customers’ purchasing behaviour
Deliver more refined campaign messaging
Improve marketing ROI
Identify, retain and grow your best customers
Quanta Household Segmentation classifies 29 million households in Great Britain into 37 descriptive and predictive segments. Based around non-personal data and fully GDPR compliant, it has been created from our proprietary property data set, demographic, financial and locality data. Using an innovative deep learning approach, Quanta Household accurately predicts customer and prospect profiles. We can append your own customer data at address level to uncover insights that can be actioned across offline and online channels to communicate more effectively with your customers and prospects.
Quanta Household Segmentation can be further enhanced by combining the power of Quanta with multiple sources and types of data, such as loyalty, online, EPOS, CRM plus relevant third-party data to create custom segmentation solutions to meet your specific business objectives.
Consumer Segmentation Features:
- Segments customers and prospects at household level
- 17% more predictive than comparative solutions
- 43% more actual data on GB properties
- Trained from 20 years of exclusive historical data
- Fully GDPR compliant
- Actionable across on and offline channels
- Address matching to UPRN identifiers
- Instantly available
150+ features. All data sources are fully GDPR compliant
Select from the wide range of variables above. This plot illustrates the 37 segments by Age Rank & Average Income.
*click to expand