Quanta Pre-Movers Segmentation

Optimise marketing spend by understanding the characteristics and motivations of home movers

Built with Artificial Intelligence, Quanta Pre-Movers is the only predictive segmentation of home movers to classify UK consumers by their propensity to move home

Prioritise customers and prospects most like to move home

Identify prospects most likely to need your product or service

Identify customers most at risk of churn

Deliver more tailored messaging

Deliver more focused marketing activity to increase sales, lower costs and increase profitability

After having a baby, moving home is the single largest trigger for consumer purchasing decisions – everything from financial products such as mortgages, loans and credit cards, to energy and broadband, home improvements as well as high ticket household goods and furnishings. Moving home can be big business for retailers, financial institutions and utility suppliers.

By using Quanta Pre-Movers Segmentation you will identify prospects most likely to move home and be in-market for your products and services. Acquisition campaigns can be activated through CRM, Facebook, mail and other channels. We work with you to develop a continuous loop of measurement and model improvement to increase accuracy and improve ROI. And by appending Pre-Mover Segments to your customer base, you can understand the characteristics of those most likely to move and tailor your messaging to reduce churn.

The segmentation is built from Outra’s proprietary property and trigger data, including 20 years of exclusive mortgage survey data combined with demographic, financial and location features. By applying sophisticated semi-supervised machine learning, we have classified GB households into 38 descriptive and predictive segments with a Mover Ranking which indicates the likelihood of each segment to move, along with their characteristics which provides context and motivations for moving.

Each predictive segment describes the property itself, area attributes and the household composition for both homeowners and tenants. It is uniquely built at household level not postcode level and is fully GDPR compliant with clear provenance.

Get in Touch for a Free Demo or More Information

Get in Touch for a Free Demo or More Information

After having a baby, moving home is the single largest trigger for consumer purchasing decisions – everything from financial products such as mortgages, loans and credit cards, to energy and broadband, home improvements as well as high ticket household goods and furnishings. Moving home can be big business for retailers, financial institutions and utility suppliers.

By using Quanta Pre-Movers Segmentation you will identify prospects most likely to move home and be in-market for your products and services. Acquisition campaigns can be activated through CRM, Facebook, mail and other channels. We work with you to develop a continuous loop of measurement and model improvement to increase accuracy and improve ROI. And by appending Pre-Mover Segments to your customer base, you can understand the characteristics of those most likely to move and tailor your messaging to reduce churn.

The segmentation is built from Outra’s proprietary property and trigger data, including 20 years of exclusive mortgage survey data combined with demographic, financial and location features. By applying sophisticated semi-supervised machine learning, we have classified GB households into 38 descriptive and predictive segments with a Mover Ranking which indicates the likelihood of each segment to move, along with their characteristics which provides context and motivations for moving.

Each predictive segment describes the property itself, area attributes and the household composition for both homeowners and tenants. It is uniquely built at household level not postcode level and is fully GDPR compliant with clear provenance.

Key Features

More predictive – optimised for home movers

AI applied to increase the predictive power

Generates features on 29 million UK households

Includes both tenants and homeowners

38 descriptive and predictive segments

Trends and changes over time are monitored

Append customer data by matching to UPRN identifiers

Uniquely built at household level not postcode level

Fully GDPR compliant

Instantly accessible by API or in batch