• September 9, 2015

Confirmit Launches Location and Beacon Triggering Solution

Confirmit has launched Location and Beacon Triggering, which enables users of Confirmit Horizons to harness mobile, location, and beacon technology to better understand and act on in-the-moment customer behavior as part of a voice of the customer (VoC), voice of the employee (VoE), or& market research (MR) program.

"The popularity of mobile shopping apps and the willingness of shoppers to share their location, provided they get value in return, is expected to result in 72 percent of retailers implementing beacon technology within the next five years. This means it is imperative that this technology becomes an integral part of our customer experience and MR solutions," said Terry Lawlor, executive vice president of product management at Confirmit, in a statement. "By offering an integrated location and beacon triggering solution as part of Confirmit Horizons, we enable our customers to correlate location-based data with other rich sources of customer data, such as purchase patterns and demographics, to deliver unparalleled customer and market intelligence."

Confirmit Horizons supports the creation of rules based on combinations of location events, allowing for selective triggering of in-the-moment actions, such as requesting customer feedback.

The Confirmit solution captures location events through geo-fencing or beacon technology and identifies when the mobile device is near, has entered, or has exited a specific location or is close to a key location, such as an in-store display. By building rules based on combinations of these location events, customized and context-rich messages or surveys can be selectively sent to customers or panelists via a fully-branded app. The solution allows businesses to maintain complete control of when and how next-step actions are deployed.

As part of Confirmit Horizons, all data captured through the new solution is stored in Confirmit SmartHub, enabling location-based data to be combined with other sources of customer data to provide deep analysis of customer behavior.

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