1. Business & Finance

Customer Data Mining for Gold

From , former About.com Guide

Business-to-Business Customer Data Mining

What if your company sells to businesses not consumers? Some information will be the same, such as addresses and contact data. The demographic data will become firmographic data. Firmographics covers a company's revenue, number of employees, age, and two other areas:

  • Type of Business: Break your customers into discrete groups of industries: fast food restaurants, print shops, or insurance brokers.

  • Functional Solution: What services or products are your business customers buying? Construct your database based on your solutions or products offered. For example, a marketing firm may group clients by consulting contacts, advertising services, and copywriting.

  • Do not collect all this customer data at once. Spend the time learning about your customers through various contact points: friendly follow-up phone calls, surveys, contests, and one-on-one discussions. Be non-intrusive and remember the whole point of collecting this information is to better understand your customers and provide more complete solutions.

    All of this collected data can be entered into a desktop database tool like MicroSoft Access, FoxPro, or FileMaker Pro. Most of these products can be purchased for a few hundred dollars and offer a simple solution for customer data mining.

    Customer Data Mining Extraction

    Now that you have compiled your customer data, it is time to sort and analyze. The critical point is to look at trends, patterns, and opportunities. Examples of data analysis include:

  • Cross-reference your top 20% customers with demographic data. Find what they have in common. Do they all live in a certain area? Do they all belong to a specific type of business?
  • Sort purchase patterns. Determine who is buying the most. Maybe a certain market segment spends twice the average amount of your typical customer.
  • Identify marketing channels. Are the bulk of your customers coming from your website or referral sources?
  • Be very alert of privacy laws and issues in using customer data. Business solutions such as customer data mining can and will be abused. Using information from your customers to contact them at dinnertime with solutions that just fatten profits is not good business. Gaining customer loyalty comes from the one-on-one interaction and listening to clients. Use your customer data wisely.

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