Customer Analytics For Dummies
Once customers’ intentions, preferences, and motivations are known, there are completely new ways of communicating with them, driving further business, and increasing their loyalty.
Bill Franks • Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Wiley and SAS Business Series)
For example, the questions below seem like they are difficult or might require a lot of research to answer: How many prospective customers landed on my Web site? What are the demographics of my best and worst customers? Are customers who interact with my support team more likely to stay customers longer? However, they
Gabriel Weinberg • Traction: How Any Startup Can Achieve Explosive Customer Growth
Survey analysis tools frequently use complex multivariate regression models to identify actionable insights. These models bring hard-core quantitative power to the qualitative realm of survey responses. You need to understand how these models work. Likewise, if you do multivariate or A/B testing, then you need to know the basics of statistics as yo
... See moreAvinash Kaushik • Web Analytics 2.0: The Art of Online Accountability and Science of Customer Centricity
you have some data predicting customer attrition based on what customers have or haven’t bought from you, you can probably improve it by adding data from these customers’ service transaction histories.