Predicting what customers will buy, when and at what price point

Published: 25 Sep 2007

The company, a developer of a predictive engine that accurately forecasts online consumer purchasing behaviour, stated that Proclivity is an adaptive platform that analyses a customer’s online activity and identifies his/her interests in various merchandise in order to determine future purchasing behaviour with unprecedented accuracy.

Proclivity uses probability indices to identify customers that are likely to buy a particular product, at a specific price point, within a defined period of time. “As a versatile, predictive engine, the platform can adapt to diverse variables such as product categories, price points and seasonal cycles along which to forecast consumer actions. The robust nature of the Proclivity engine allows it to be applied across a variety of industries in e-commerce, including retail, travel, finance and media.”

“Proclivity allows retailers to identify customers with high purchasing likelihood for a product, and to easily use this information to tailor marketing campaigns for maximum profitability. Simultaneously, through Proclivity’s campaign advisory console, clients can accurately forecast ROI for a variety of campaigns and steer their endeavors toward programs with the highest revenue potentials. Since Proclivity’s platform helps retailers send customers emails only about products or services that are most relevant to them, order conversion rates and sales productivity increases dramatically while customer attrition decreases,” stated the company.

“We are helping retailers send fewer emails and make more money with each campaign,” said Sheldon Gilbert, CEO, Gilbert Systems.

“Our clients are astounded at the results they are getting – 13-fold increases in order conversion rates, 200-300 percent increases in open and click-through rates and 600 percent or more increases in campaign productivity (defined as revenue earned per email sent),” said Gilbert.

Gilbert added, “I wanted to develop an engine that could analyse the behaviour of people and products online and predict what consumers would buy, when they will buy it and at what price point. Most companies try to use generic demographic, purchase, or survey data to anticipate consumer shopping preferences. We use data that is self-generated by each and every individual consumer to make more relevant and accurate predictions. This provides finer resolution into the true tastes, preferences and predictive shopping habits of consumers for individual products. The intelligence that Proclivity provides allows our clients to immediately maximise sales and ROI with the generation of high-performance campaigns and optimisation of their inventory.”

According to the company, Proclivity is now in pilot programmes with a number of major online retailers and publishers.

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