Innovative portal reveals data’s potential for predicting consumer behaviour

Featurespace has unveiled its Insight Marketing Analytics Portal, a free online tool that enables marketers to gain a fast, clear and usable understanding of their customer data.

The portal provides businesses with a report on the suitability of their data for predicting customer behaviour, such as the likelihood of churning, responding to cross- and up-sell opportunities or becoming a highly-valuable long-term customer.

To take advantage of this insight, marketers upload a representative sample of customer data – the bigger the better – on to the portal at https://portal.featurespace.co.uk. Featurespace then feeds this information into its Insight for Marketing Optimisation solution and will be in touch within 48 hours to schedule a web conference to discuss the results.

Featurespace’s predictive behavioural analytics solutions enable businesses to gain timely, accurate and granular insight into their customers’ actions, allowing marketers to offer targeted communications that are directly and specifically relevant to an individual customer’s needs.

“Every organisation recognises that there is inherent value in the detailed engagement histories that exist within their customer data,” says David Excell, CEO and co-founder of Featurespace. “Our new Marketing Analytics Portal quickly demonstrates to marketers exactly how to unlock this value. It provides them with an understanding of key predictions and information on how the output(s) could be used for wider marketing campaigns.”

More often than not, the problem for marketers isn’t a lack of data, it’s the opposite. The sheer volume of data resulting from customer interactions can actually prevent organisations achieving usable insight because they struggle to identify and extract the real value.

“While business intelligence solutions are commonplace, they’re inherently retrospective – they tell you where the company and customer activity has been,” adds Excell. “Predictive analytics can tell you where the customer activity will be and how best to achieve future results. Our advanced algorithms and cutting-edge behavioural modelling offer exceptional accuracy of prediction to deliver marketers the best possible results from their cross-sell/up-sell campaigns, loyalty management/retention programs and lifetime value estimations and nurturing efforts.”

Customers interested in identifying the value of their data can start benefiting from this tool straight away, for free, simply by uploading a representative sample of their data, together with their objectives. For further information visit the online portal: https://portal.featurespace.co.uk


 

About Featurespace

Founded in 2005, Featurespace is an organisation specialising in the development and deployment of software applications for risk management and marketing optimisation.  Utilising cutting-edge research into advanced statistical modelling, Featurespace’s solutions are able to automatically profile customer activity on an individual-by-individual basis, in real time, even when customer interactions run into many millions per day.

These personalised profiles feed into an advanced analytics engine that self-refines or ‘learns’ over time to predict - with unrivalled accuracy - customer behaviour. 

The company was founded by current CEO Dave Excell, whose interest in the commercial power of real-time Bayesian Inference modelling arose during his PhD studies at Cambridge University into behavioural analytics.

Featurespace’s co-founder and fellow board member, Bill Fitzgerald, is Professor of Applied Statistics at Cambridge University, which ensures the company remains at the forefront of analytical thinking. An investor and non-executive director of the company is another of Professor Fitzgerald’s Engineering Department alumni: Dr Mike Lynch OBE, founder and former CEO of Autonomy, whose Bayesian approach underpinned Autonomy’s highly successful conceptual search and contextual linguistic analysis tools.

Featurespace is headquartered in Cambridge, UK, and is supported by a wide range of private and institutional investors.

To find out more, visit: www.featurespace.co.uk

 





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