Callcredit Information Group

Callcredit Information Group

June 21, 2012 01:00 ET

Major Brands Benefit from Savills' Partnership With Callcredit

Retailers use RetailVision Software to Gain Unique Business Insight

LEEDS, UNITED KINGDOM--(Marketwire - June 21, 2012) - Brands including Costa, Aviva and regeneration specialists Spenhill are benefiting from unique retail insight and analysis after property consultants Savills signed up to use Callcredit Information Group's RetailVision modelling software.

Savills is using RetailVision to advise clients on retail performance and consumer behaviour, including site selection, revenue estimates and customer flows. The company is also the first to use RetailVision's unique 'scenario' function, which allows users to speculatively change the features of an existing retail landscape and predict the impact.

RetailVision covers four retail categories - grocery, fashion, homewares / DIY, and electricals - and 17,000 unique retail centres. The software can assess the catchment area of a given retail centre and determine whether the products and brands within that centre are a strong fit with the local population.

Savills is also benefiting from CAMEO Geodemographics which, linked with TGI survey data, provides the profiles of individuals that are known to shop with a specific, competitor retailer. These geographic segmentation profiles can then be used to find retail centres that have individuals with similar profiles living within the catchment area, in order to help with retail planning and site selection.

RetailVision forms part of Callcredit's Microvision software package, and uses strategic planning models to enable users to map and spatially analyse consumer demographic data and market data to support business decisions.

Tom Whittington, director of Retail Research at Savills, said: "We've found that RetailVision really enhances the service we offer our clients by providing the ability to fully understand consumer behaviour, shopping patterns and retail turnovers. The functionality to change the retail landscape by opening or closing a store and model the consequent revenue flows is unique. We have had extremely good feedback from clients who have been assisted in making reliable and informed decisions on sites."

Chris Duley, director of Callcredit's retail planning team, said: "Times on the high street are tough, so it is vital that retailers have a wide range of data at their disposal to make accurate business decisions and therefore maximise their revenues. RetailVision was developed to meet these needs by providing information not only on potential and existing sites, but more importantly, on the types of people who might shop there. We are delighted that Savills and their clients are seeing the benefits that this insight can deliver."

About Callcredit Information Group -

Callcredit Information Group's leading approach to deploying consumer information brings together experts across the fields of credit referencing, marketing services, interactive solutions and consultative analytics to provide clients with a range of innovative and effective products to discover new customers and to engage with current customers to optimise and increase profitability.

Products include award-winning fraud verification tools and database solutions to positively verify consumers, global operations to help expand businesses into new markets, digital solutions to improve the overall journey consumers make during interaction with a brand, customer handling to ensure consumer satisfaction at all levels and consumer marketing data and segmentation to improve understanding and targeting of customers and prospects.

Callcredit also offers products for their clients to assess a customer's credit risk and affordability and their experts in collections and recoveries provide tailored debt recovery and tracing tools. Their market analysis and network planning function helps organisations develop profitable retail networks, and their tools in multi bureau, analytics and metrics work to provide fully assessed bureau data.

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