What You Really Need to Know About Customer Segmentation
Next year Cozmix will be launching a number of sales force strategy resources. The first one will cover customer segmentation. At this stage we’re doing research. But in the age of social media I thought it would be interesting to get some input from friends and colleagues scattered afar. Of course all comments and suggestions will be acknowledged in any materials we create (and you’ll get a complimentary copy). Please enter your comments in the comments section at the bottom of this page or email me at firstname (steve) dot surname at yahoo dot com (this is my personal email address as I don’t want spam to my business email). Don’t feel as if you need to answer all of the questions – all insights are appreciated. So here goes:
- What are some of the basic mistakes you’ve seen companies make when it comes to customer segmentation?
- What needs to be in place before you segment your customers?
- What are the warning signs that indicates the current segmentation of customer needs to be reviewed?
- How often should you review your customer segmentation?
- What approach can you use to segment e.g. Market Data Segmentation, Simple Attribute Segmentation, Modeled Potential Segmentation, Attitudinal Segmentation, Latent Class Segmentation – have I missed any?
- Does anyone actually use Attitudinal Segmentation or Latent Class Segmentation?
- How many segments are appropriate?
- What are the common implementation “gotchas” that people have encountered (and how do you avoid them)?
- What other systems interact with the segmentation i.e. what systems we need to be mindful of when we re-segment (CRM comes to mind)?
- What is best practice when communicating the segmentation to the sales force?
- Any other insights?
Please get in touch if anyone has a case study that they are able to share, or if anyone is willing to be interviewed about a recent segmentation exercise they have gone through (and the lessons they learnt). As I’ve already said, all contributions will be fully acknowledged.
