E-Commerce Segmentation Whitepaper

E-Commerce Customer Segmentation

With over 80% of global consumers trying online shopping at least once, the greatest opportunity for e-commerce companies is to build a long-lasting and profitable relationship with this already existing audience. Such a strong relationship requires utmost focus on the customer as a whole and making sense of a flood of real-time information that goes well beyond demographics or shopping behavior.

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Social BI for Intelligent Enterprise 2.0

In spite of the fact that Enterprise 2.0, the use of emergent social platforms within or between companies and their customers, has been in existence for years, even its most successful implementations are lacking in the ability to integrate successfully into daily business activities. Business Intelligence (BI) is one of the major areas that have the potential to bring Enterprise 2.0 to life and have it affect company bottom lines…

Hype or the Real Deal? The Big Data Conundrum

Big Data has become one of those terms you can’t avoid these days, all the rage in and around the business intelligence industry. The overwhelming buzz makes you wonder – is there something really there, or, is the hype the result of vendors and consultants trying to make another buck? You can download PDF version…

Targeted Roamer Marketing – Maximizing Inbound Roamer Revenues

While inbound roaming is a lucrative business for operators in specific countries, too common is the company relying on old-school practices to market it, focusing only on mass outreach and non-customized value propositions. Operators wanting to retain and grow roaming revenues need to start tapping into targeted marketing practices before their competitors do… You can…

SNA’s Failures Revealed – Getting it Right With Social Ripple Analysis

If you are using one of the market leader Social Network Analysis (SNA) tools, it is very likely that you are not seeing the forest for the trees. While SNA is an effective tool for identifying subscribers who are social leaders and followers, using it for churn prediction and propensity modeling can be dead wrong.…