Sales Management Customer Relationship Human Resources Business Performance BI & Data Quality IT Tools & Vendors

Sign-in   Register
Establishing 'Making it Happen' as a 'Formal & Predictable' Discipline
  Customer Retention and Satisfaction  

Execution-MiH ENCYCLOPEDIA  →   Functional Management →  SECTION - Customer Management → 

CHAPTER - 

Customer Segmentation and Profiling
Customer Segmentation and profiling is the first step before we decide on how to retain, satisfy and maximize their profitability.


Topics
What is Customer Segmentation?   
Customer segmentation firstly has to define on what do we mean by the customers, and also what should be and should not be done in customer segmentation.
 
Customer Segmentation Parameters   
Customer segmentation can be done on multitude of parameters, This is just an indicative list. The key is to make sure that you are focusing on the parameters which are important for your business. One should avoid the trap of making customer segmentation too complex an exercise.
 
Customer Segmentation Actions   
A customer segment can drive actions across various functions like product development, sales approach and services management. However, one does not need to come with lot of independent actions.
 
Customer Segmentation approach   
This is just a high level statement on the approach, and some cautions along with. In customer segmentation, one has to be prudent to maintain a balance on the level of segment. One also has to know early on the invalid or irrelevant segments.
 
Customer Segmentation Data Management   
Customer segmentation analysis has to manage the internal data on existing customers as well as the external data on prospects. The external data has a challenge of being dirty and in diverse formats. Most of the data management issues are linked to managing the external data.
 
Customer Segmentation Analytics and Business Intelligence   
Customer segmentation related analysis does not have an urgency of running a business. Therefore, it may be missed out in comparison to sales analysis or supply chain analysis. Once segmentation is done, it is done again after a gap of at least a year. A regular analysis, will help you to validate your assumptions and also throw some signals on how the customers are moving across the segments.
 

  Customer Retention and Satisfaction  

All Chapters in "Customer Management." Section
 Customer Segmentation and Profiling →  Customer Retention and Satisfaction →  Customer Service Management →  Customer Value and Profitability → 

 
 
Back
 
More on Customer Management
Customer Retention & Satisfaction
Customer Service
Customer Value & Profitability
Additional Channels
Principles & Rules
Free Templates
Glossary
Key Performance Indicators



Most Popular Zones with list of pages crossing 25000 hits  →→→ 
Maximising Sales Performance
Sales Compensation components
Sales Channel Management Overview
Sales Objectives Clarity
Sales Channel Management System
Data Management in Sales Campaign
Read more...
  Customer Relationship Management
Customer Service and Support - Strategic Role
Customer Value and Profitability Data Management
Customer Segmentation Data Management
Customer Value and Profitability Tips and Actions
Customer Value and Profitability- BI
Read more...
  Human Resources & Leadership
Act with Decisiveness
Developing Leaders- Few Leadership Traits
Empower Front-line Employees
Maximize the output first and then the potential
Competencies Definitions
Read more...
 
 
Business Performance & Planning
Strategy Map to Strategic theme
Strategy Blueprint Information Gathering
Scorecards need manual finish
SWOT Assessment Report
Scorecard Health Checklist
Read more...
  Business Intelligence & Data Quality
Data Mart Fact Table Grain Matrix in DW
Data Warehouse Requirements Assessment
MDM-CDI Hub
BICC- Competency Framework
Data Aggregation Analysis
Read more...
  IT Vendors & Tools Management
Commercial & Contractual Matrix
Vendor Partnership and alliance Evaluation
Technical Evaluation- Interoperability
Delivery Evaluation Matrix
Data Quality through Data Integration Tools
Read more...