11Ants Analytics launches Customer Response Analyzer

11Ants Analytics launches Customer Response Analyzer to slash marketing costs

Breakthrough analytics software helps organizations maximize marketing campaign effectiveness

HAMILTON, New Zealand, 18 October 2011 – 11Ants Analytics, the leader in assisted predictive analytics, today launched the breakthrough 11Ants Customer Response Analyzer to enable organizations to identify prospects most likely to respond to marketing offers. The breakthrough software is designed to improve marketing campaign effectiveness and profitability by giving marketers the information they need to concentrate resources on those customers statistically most likely to respond to a marketing offer.

“In today’s economic climate organizations need to make very smart decisions about how to allocate their marketing spend,” says Tom Fuyala, Director, Business Development, 11Ants Analytics.

“One customer recently increased their marketing campaign response rate by over 300% using our software. These sorts of results are not just achievable by analytics experts; even users with no analytics background can benefit from the power of our software. Literally with a few mouse clicks organizations can easily identify who is likely to become a high value customer so they can focus their sales force on the high value opportunities.”

The solution has been designed so that it can be used ‘out of the box’ by marketers or business analysts and does not require any understanding of algorithms or intense predictive analytics experience. The automated features also free up accomplished analytics experts from time consuming and repetitive tasks resulting in a better job, faster.

“Our software provides an affordable and rapid path for organizations in any sector to deploy predictive analytics – literally in hours. Companies no longer have to spend hundreds of thousands of dollars on licensing and spend months just to get to up and running on their software. Our software is a real game changer in the market,” says Fuyala.

Users can identify the precise prospects to target in a given campaign and calculate the optimal number of prospects to contact to maximize the profitability of the campaign – slashing marketing costs and avoiding annoying customers who would not be interested.

What if-scenarios can also be performed on various spends on retention offers and delivery channels. Insights can then be gained into the proven predictors of response and the relative importance of these factors. A drill down view of the profile of a responder versus a non-responder is presented clearly with informative and intuitive graphs.

The 11Ants Customer Response Analyzer guides a user to build a response propensity model to provide key insights into which customers are statistically most likely to respond to a given offer. The model analyses historical data of sample of customers who have responded previously, and a sample of those who have not responded previously to uncover patterns.

“These patterns may be very subtle and are typically not due to one factor in isolation but lots of factors working in concert. The technologies that discover these patterns are called machine learning algorithms – they are so called because they ‘learn’ from the patterns in the data. Our proprietary HyperLearn technology draws on 11 advanced algorithms – but the beautiful part is the user doesn’t even have to know how to spell algorithm,” says Fuyala.

11Ants Customer Response Analyzer complements the recently launched 11Ants Customer Churn Analyzer to empower marketers to identify those customers statistically at risk of churning, allowing retention efforts to be focused on those specific customers. The software is used in a diverse range of settings including insurance, retailing, banking, telecommunications, utilities and health clubs. For more information visit http://www.11antsanalytics.com

ENDS

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