GeoPlus and G-Risk
Whether you use our risk, marketing or collections solutions, each one is built at individual and geographic levels. The geography only element of each solution categorises the whole of the UK into distinct codes based on trading/payment behaviour, from good to very bad. Users can choose between postcode or postal sector applications, each one providing powerful discrimination. Unlike our individual level coding which uses a bespoke solution customised around the industry or users own performance metrics, the geography only element provides a generic alternative that can be quickly deployed and integrated. Provided as a look-up table, the solution requires minimal I.T effort.
Users of our geography solution have two options; GeoPlus and G-Risk:
GeoPlus
- A non-linear solution that provides 15 categories of payment intent performance.
- Accounts for penetration rates of the home shopping transactional data found within cipher, our closed user group.
- Highly predictive of response and conversion, as well as financial risk.
- Ideal for marketing selections, where affluence and responsiveness are key factors for success.
G-Risk
- A linear solution, providing a continuous scale of 17 categories of risk, from 0 (best) to 16 (worst).
- Optimised to provide an assessment of financial risk, with less emphasis on campaign responsiveness.
- Ideally suited to use within generalised linear models, for easier results analysis and interpretation.
Our clients typically use GeoPlus or G-Risk for:
- Postcode and postal sector level risk assessment.
- Enhancing insurance rating and pricing data.
- Enhancing geography based demographic, lifestyle and financial segmentation models.
- Campaign planning and targeting for non-personalised door to door/door drop activity.
