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Customer analysis provides insight into customer behavior, enabling your business to reduce attrition of high-value customers, optimize customer profitability, and identify cross-selling opportunities.  If your customer base adheres to the 80/20 rule, 20% of your customers provide 80% of your revenue.  You can dramatically grow your business by finding more customers just like that golden 20%.

Customer analysis programs to consider.

  • Customer Count Analysis-A gains and losses analysis.
  • Customer Gains Analysis-Why and how did we gain new customers?
  • Customer Losses Analysis-Why and how did we lose our customers?
  • Customer Migration Analysis-Where are customers migrating among products and how can they be resegmented?
  • Customer Profile Analysis-Analyzing your customer's segments.
  • Customer Segmentation Analysis-Segmentation of customers by unique characteristics.
  • Customer Solicitation Analysis-Effectiveness of communications programs.
  • Customer Response Analysis-Documentation of your acquisition investment in your customers.
  • Customer Promotion Analysis-Evaluation of communications programs.
  • Customer Purchase Patterns Analysis-Evaluation of patterns of purchases over time by customer subsegments.
  • Customer Price Sensitivity Analysis-Evaluation of price, price changes, discounting, and other price-related issues and customer purchases over time and for a specific point in time.
  • Customer Seasonality Analysis-Differences in purchase patterns throughout a calendar year.
  • Customer Purchase Occasion Analysis-Reasons for customer purchase, such as a life-stage event.
  • Customer Payment Method Analysis-How soon and by what method did customers pay?
  • Customer Spending Analysis-Analysis of customer spending by segment and individual for a point in time and over a period of time.
  • Customer Channel Analysis-Analysis of the channel or channels through which the customer purchases (i.e.: catalog, retail, web).
  • Customer Purchase Location Analysis-Analysis of the location of customer purchase activity and changes over time.
  • Customer Network Analysis-The decision support system and its effect on the purchase process.
  • Customer Needs Analysis-Customers’ requirements of purchase of product, including information requirements.
  • Customer Wants Analysis-How the customer wants to be sold.
  • Customer Priority Analysis-The purchase priority of products and services (i.e. clothes and food before gifts, luxury items).
  • Customer Change Analysis-How customers or customer segments are changing over time: life stages, demographic changes, geographic changes, and customer perception changes.
  • Customer Benefit Analysis-Organization or prioritization of benefits for customer segments.
  • Customer Motivation Analysis-Required motivation for purchase, migration, and so on.
  • Customer Social Concern Analysis-Is it important to react to customer social concerns such as the environment or privacy?
  • Customer Investment Analysis-Customer profitability at a point in time, including lifetime value analysis and future profit-stream analysis by customer and customer segment.

 
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