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Amplero Achieves 400% Better Retention Marketing By Integrating New Sequential Churn Modeling Technique Into Personalization Solution

Self-learning Personalization Solution Adds Time-based Pattern Detection to More Accurately and Quickly Spot Customers Who May Leave a Brand

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News provided by

Globys

Sep 23, 2015, 09:00 ET

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SEATTLE, Sept. 23, 2015 /PRNewswire/ -- Globys, the leading innovator in contextual marketing, today announced a major release of its Amplero solution. Now marketers can achieve 300% better churn prediction accuracy and up to 400% better retention marketing than when using traditional modeling techniques. Integrated into Amplero's closed-loop performance marketing system is a new approach to churn modeling that provides marketers the ability to more accurately predict at-risk customers within a window of time that allows for deliberate action. As a result, marketers achieve a significant lift in retention impact. 

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Amplero's web interface allows marketers to drill into the performance lift of each strategy aimed at churn reduction as well as gain insight into which retention offer and message combinations are working as measured against the long term KPI.
Amplero's web interface allows marketers to drill into the performance lift of each strategy aimed at churn reduction as well as gain insight into which retention offer and message combinations are working as measured against the long term KPI.

"With traditional tools, marketers usually get a churn explanation – why the customer left – rather than a true and actionable prediction of churn risk," said Dr. Olly Downs, chief scientist and CTO at Globys.  "With a modeling approach that's based on customers' behavioral sequences, Amplero provides marketers with the opportunity to interact with and influence customers through personalized retention efforts that are based on highly accurate churn prediction that's within a window of actual actionability.  For any subscription-based business focused on retaining customers and boosting overall customer lifetime value, the impact of this technique in enabling a sustainable retention capability is significant."

The problem with traditional churn models

The issue with the traditional approach to churn modeling is that meaningful signals that indicate customers may leave are frequently lost. Currently, most retention models rate customers with a "churn score" that depends on a highly manual and time-intensive process during which analysts create aggregate attributes in a data warehouse and test their impact in improving the lift of a static churn model.  The process can take several months, from analyzing customer behavior through deploying retention marketing tactics.  And since marketers typically update customer churn scores on an infrequent e.g., monthly basis, rapidly emerging customer signals are not taken into account and retention marketing is often too late to influence the customer. 

What Amplero's churn modeling means to marketers

Unlike traditional churn modeling techniques, Amplero monitors sequences of customer behavior on a dynamic basis, automatically discovering which customer actions are meaningful. This means that a marketer is no longer reliant on a single, monthly score indicating whether a customer is at risk of leaving the company. Instead, the dynamic behavior of each individual customer is analyzed on a continuous basis.  The results of the time-based modeling are constantly fed into Amplero's closed-loop marketing platform which then uses machine learning to discover and execute optimal retention marketing actions on a per-customer and contextual basis. 

All of this happens automatically. The frequent scoring of customers and retraining of the model results in always-current churn scores that dynamically update with new data.  In addition, the volume and variety of data explored by Amplero allows for the detection of personalized patterns around purchases, consumption, and other engagement signals and automated discovery of granular, non-obvious signals at massive scale.

What this means for marketers is more accurate churn prediction, and ultimately more relevant and timely context-based marketing actions that are continuously optimized against long-term performance indicators.  The right messages reach the right customers at the right time. As a result, marketers experience dramatically improved retention rates, and customers experience more value in continuing an ongoing relationship with their brand of choice.

For more information on Amplero or to request a demo, please visit http://amplero.com/. For updates on product and company news, including upcoming webcasts and research alerts, follow Amplero on Twitter, @Amplerodotcom, or visit http://www.amplero.com/research/updates.php.

About Globys

Globys is a big data analytics company that specializes in contextual marketing. Our Amplero solution combines controlled experimentation and machine learning to help brands in banking, telecommunications, gaming and hospitality deliver highly personalized and contextual campaigns that maximize digital marketing performance. For more than 15 years, Globys has delivered out-of-the box SaaS solutions to help brands accelerate time to market and minimize their operational costs. Globys is a venture-backed company headquartered in Seattle, with offices in Toronto, Melbourne and Dubai.

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SOURCE Globys

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