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  1. Category: Big Data

    1-8 of 8
    1. Guessing vs. Knowing: The Role of Customer Loyalty in the SaaS Sales Funnel

      Explore Stephen King Thinking (May 14 2012)

      Guessing vs. Knowing: The Role of Customer Loyalty in the SaaS Sales Funnel

      In a previous post, I described the SaaS Sales Funnel where marketers can help customers emerge from the murky ooze of the world wide web and drive towards paying for products and services. Now, let's apply customer loyalty measurements to creating accelerated and sustained revenue growth. There are three ways a company can make money: 1) Getting existing customers to buy from you again -- in SaaS pricing models, this is typically on a recurring monthly basis. 2) Getting new customers. 3) Getting existing customers to buy more things from you -- in SaaS, this means enticing customers into the next ...


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    2. Customer Relationships - 'Customer Experience' Is the Catchphrase for 2012 : MarketingProfs Article

      Explore MarketingProfs (Apr 24 2012)

      Customer Relationships - 'Customer Experience' Is the Catchphrase for 2012 : MarketingProfs Article

      Often cited inappropriately as a replacement for brand positioning or brand experience, customer experience goes far beyond that. In reality, customer experience is the result of how you implement your brand and how customers experience it across every touch point. Customer Relationships - Customer experience is about meeting customer needs, aligning touch points, and creating relationships. Learn customer experience basics—and how to create an enriched customer experience that gets results.


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    3. Big Data has Big Implications for Customer Experience Management (CEM)

      Explore Business Over Broadway (Apr 17 2012)

      Big Data has Big Implications for Customer Experience Management (CEM)

      Unless you have been living under a rock, you know that Big Data is the latest buzz word in the world of business. The concept of Big Data a is broad one and I consider it an amalgamation of different areas that help us try to get a handle on, insight from and and use out of data. Pat Gelsinger, President and COO of EMC, in an article by the The Wall Street Journal said that Big Data refers to the idea that companies can extract value from collecting, processing and analyzing vast quantities of data. Businesses who can get ...


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    4. “Big Data Are a Macabre Clown,” Says Stephen King -- TCELab Launches CEM Customer Loyalty Platform

      Explore Press Release Distribution (Apr 13 2012)

      “Big Data Are a Macabre Clown,” Says Stephen King -- TCELab Launches CEM Customer Loyalty Platform

      Friday the 13th? "Big Data Are a Macabre Clown" says CEO, Stephen King. Don’t be scared by Big Data -- TCELab officially announces launch of next generation Customer Experience Management (CEM) platform that integrates big-data tool automation and customer loyalty science. today officially unveiled its next generation Customer Experience Management (CEM) Platform, integrating a suite of big data tools with leading edge customer loyalty science from Bob Hayes, Ph.D.


      Comment Mentions:   Calgary

    5. Customer Loyalty, CEM and The Organizations That Chief Customer Officers (CCO) Oversee - The 1to1 Blog

      Explore Customer Strategy (Mar 13 2012)

      Customer Loyalty, CEM and The Organizations That Chief Customer Officers (CCO) Oversee - The 1to1 Blog

      In our continuing research on the emerging role of the Chief Customer Officer (CCO), we recently looked at the kinds of authority their firms vest in them to drive change across the organization as customer loyalty and customer experience management programs are put in place. This authority can affect the activities they do, the composition of the teams that report into them, and the budgets they control. For firms considering putting this kind of senior customer experience leader in place, Forrester has identified three archetypal models that characterize the most typical modes in which CCOs operate.


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    6. 4 Ways to Optimize Your Customer Survey [INFOGRAPHIC] | Business Over Broadway

      Explore Business Over Broadway (Mar 12 2012)

      4 Ways to Optimize Your Customer Survey [INFOGRAPHIC] | Business Over Broadway

      Companies, in support of their customer experience management (CEM) programs, rely heavily on the use of customer surveys as a means of collecting customer feedback. An optimal customer survey maximizes the value of the survey to both the businesses who use them and their customers who take them. This Infographic shows 4 Ways to Optimize Your Customer Survey. Specifically, businesses need customer surveys that provide reliable, valid and useful information to help run the business more effectively. Customers need surveys that let them give quick, yet meaningful feedback about their experiences. Based on research and practical experience in the CEM ...


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    7. Visualizing the Three Components of Customer Loyalty

      Explore Business Over Broadway (Feb 21 2012)

      Visualizing the Three Components of Customer Loyalty

      I use factor analysis (more an that below) often in my customer experience management research. Specifically, I use it to help understand how to best measure customer loyalty. The value of factor analysis, however, is sometimes lost in the details. In this post, I adopt a 3D visual approach in presenting factor-analytic results of [...]


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    8. Business Over Broadway : Analyzing Big Data: A Customer-Centric Approach

      Explore Business Over Broadway (Feb 16 2012)

      Business Over Broadway : Analyzing Big Data: A Customer-Centric Approach

      The latest buzz word in business is Big Data. According to Pat Gelsinger, President and COO of EMC, in an article by the The Wall Street Journal, Big Data refers to the idea that companies can extract value from collecting, processing and analyzing vast quantities of data. Businesses who can get a better handle on these data will be more likely to outperform their competitors who do not. When people talk about Big Data, they are typically referring to three characteristics of the data.


      Comment Mentions:   Google

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