Quiterian Integrates Social Media Data Analysis into their Customer Analytics Solution

February 16, 2012

The European software developer will help organizations obtain predictive insights by easily integrating social media data with information from other sources

Miami, Florida -- February 16, 2012 – Quiterian, the leading European developer of advanced and predictive analytics software for business and non-technical users announces that their “Customer Analytics” Solution providing consumer behavior knowledge now integrates data from social media (Facebook, LinkedIn, Twitter) at record breaking speeds.

Quiterian Analytics, a self-service and agile platform that integrates data from multiple sources (social media, web, CRM, ERP, campaigns, emailing), is specially designed for non-expert users that want to make faster and better decisions based on consumer behavior knowledge. Through advanced and predictive analytics techniques, Quiterian identifies patterns and profiles of the most profitable customers, performs smart segmentations and executes automated marketing campaigns with customized offers, all with total independence from the IT department.

Through their Customer Analytics Solution, Quiterian offers marketers the ability to analyze in depth a wider range of data from internal and external sources including social media (Facebook, LinkedIn Twitter), in order to obtain predictive insights into the preferences, sentiments and behavior patterns of their buyers.

The Aberdeen Group research report “Divide & Conquer: Using Predictive Analytics to Segment, Target & Optimize Marketing”, published in February 2012, and prepared by Aberdeen Group´s Senior Research Analysts, Trip Kucera and David White, reports the strategy most commonly used in the marketing departments of leading organizations is to improve the targeting of their marketing offers, requiring smarter segmentations for better customer profiles and deeper understanding of the offers´ targets.

The Aberdeen report indicates that companies are more and more oriented towards improving customer experience with predictive analysis not only of their behavior and transactional data but also of social media feeds. Top-performing marketing organizations surveyed stated that use of predictive analytics tools achieved an increase in lifetime customer value of 13% compared to an increase of just 2.3% at other companies. Also, they achieved an average response rate for a marketing campaign of 7.1%, compared to an average of just 4.8% at other companies. Customer retention rate of 4%, compared to an increase of just 1% at other organizations.

“We are pleased that Quiterian Analytics meets the best-in-class criteria for Customer Analytics solutions as described in the Aberdeen report,” stated Josep Arroyo, CEO of Quiterian. The Customer Advanced Analytics solution of Quiterian has helped many companies to improve their business, like Inversis Bank, a financial institution specialized in investment products, where marketing professionals needed more agility for accessing their information on accounts, processes, segmentations and client types. Francisco Magarite, General Director and IT and Corporate Services Responsible, reports “Before Quiterian, extracting and analyzing information used to take a considerable amount of time of our technical experts, and as a consequence we were not providing the appropriate service. Quiterian gave autonomy and flexibility to our marketers. Now they obtain detailed customer knowledge, behavior patterns and movement predictions, quickly and easily”. According to Aberdeen Group’s analyst, David White, author of the referenced study, “Our research found that top-performing marketing organizations do several things differently to the others. First of all, they are more likely to use software that is easy to integrate with other applications and business processes, and also use software that can be used directly by business managers without needing statistical experts. These same companies are also more likely to have access to a rich set of data, including social media data. These characteristics help them to create powerful insights into their customers and prospects and improve the targeting of their marketing offers”.

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