The following case example is highly summarized.
Case 900: Understanding Virtual Customers to Sharpen your Website
Problem: How to understand the buying motives of virtual store customers?
Situation: A young entrepreneur selling products on the web wanted to validate his gut feel for who was buying.
DecisionMap: Conventional, geographic market data were appended to customer data and symbolically represented on a map.
Revealed: The map showed where the customers lived and revealed important information about their likely reasons for buying and about their neighborhoods.
Result: The entrepreneur's gut feel was close. The analysis enabled an even tighter definition of customers. The better understand of customers and their likely buying motives made it easy to apply conventional marketing principles to adjust the website to appeal to like-minded prospects.
Application: Virtual stores eliminate geography as a barrier. No longer are customers limited to stores in their neighborhood; nor, sellers to customers in their neighborhoods.
Internet shoppers are real and live in real places. So, the geographic market and the number of possible geographic (and other) segments have exploded -- making it harder to visualize and understand all the important variables.
Even fledgling virtual companies have data that can be used to improve results. DecisionMaps enable management to extract the value hidden in the customer data. What information is hidden in your company databases? How much value could you realize if a DecisionMap enabled you to better understand your customers? For help now email us the best time and way to contact you.
Copyright © 2002 - 2006 GAPuzey Consultants. All rights reserved. DecisionMaps and DecisionMap are trademarks of GAPuzey Consultants.
|