infoTECH Feature

February 23, 2012

iJento Extends Analytics Solution to Multichannel Customer Intelligence Platform

iJento’s LV= will now have its Web analytics solution extended to a multichannel customer intelligence platform, the company has announced.

LV= has achieved a number of performance improvements, including a 30 percent increase in quote success, 120 percent increase in application throughput and 26 percent increase in sale conversion with the ability to track and optimize every element of each customer journey. This spans the full range of different LV= products and directly relates to an uplift in revenue. By being able to better target its campaigns, LV= has also been able to reduce its paid search acquisition costs by approximately 30 percent.

“Multichannel customer intelligence is critical to today’s customer centric organizations,” Peter Ryan, CEO, iJento said. “The results that LV= has achieved, demonstrate the power of understanding each customer journey across channels and devices. We are very excited to see our technology is helping to drive these big performance improvements and to be a part of the LV= success story.”

LV= has also implemented iJento Real-Time solution. Around the LV= offices, this displays key online performance metrics (number of visitors and page impressions) in real-time on plasma screens. This enables LV= to monitor how the online business is performing in real-time and identify and fix any problems immediately. LV= is also working with iJento Intelligence applications to query, visualize, report and analyze its multichannel and multi-device data, as well as the iJento Datamart.

Recently, the company announced it secured $8 million in funding led by Nauta Capital and Oxford Capital Partners, with financing from Silicon Valley Bank. The company will be injecting the funds for expansion into North America. iJento is launching its portfolio of solutions and consulting services in North America to assist organizations to extend current analytics capabilities to perform multichannel customer intelligence.

Edited by Carrie Schmelkin

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