Building Client Profiles
There are 6 components to consider while building client profiles:
Affinity profiling – examines current purchasing habits to better match client to product. Knowing what kinds of product a particular client is purchasing gives you the power to build an “affinity matrix” showing what related products would stimulate a lot of sales from him/her.
Lifestyle Coding is applied to enhance basic demographic data. Simply put – people in certain demographic categories will likely accept similar hobbies and other interests.
Demographic and psychographic information is also applied for profiling. Demographics tells you a customer is a 29-year-old, unmarried, male who earns $45,000 and drives a 2-year old Lexus. Psychographic information indicates that single young men who buy status-symbol cars are excellent prospects for other extremely visible status products. Combining the two cases of information yields a client profile to someone marketing, say, the latest cellular phone.
Cluster Coding is a favorite means of grouping people by lifestyle characteristics. Remember hearing the conditions “Urban Up-and-Comers, Settled In, and White Picket Fence” used to describe marketplace sections? These are known as “clusters”, apiece given a account according to affluence, social position, activities, and aspirations.
Mapping is a different of value tool in building client profiles. Census data, topographic data, geographic coordinates, and zip code+4 postal data can be fed into a computer yielding maps that can comprise color coded to certain characteristics of consumers particularly neighborhoods.
Appraise data – can be used to enhance demographic, lifestyle, and additional data to build a profile. This is accumulated at once from your clients via application forms, appraises, and credit histories. This allows a more personal portrait of the client than merely census or demographic data.
The Direct Marketer of today accepts become a lot of a “surgeon” than a “shotgun hunter”. It’s no more cost-efficient to shoot at 400,000 prospects to get 40,000 clients, and with computers it’s lighter to slice-and-dice information today.
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Categories: Customer Tags: Building Client Profiles
Deal With a Customer Segment
Disassemble your customer segment into customers who share similar tastes and buying habits. In profiling start with the premise that you don’t would like to deal with a client segment, but instead an individual client. Then apply demographic and behavioral information to create a useful snapshot of the client.
Apply all this information to break your clients into clusters that share purchasing traits. Start out to cumulate this information from your existing client database noting such things as frequency of purchases, buying habits, reactions to marketing proposes, and repeat purchases. Then start up with your perceived prospects applying alternate sources of data from bought sources.
You may wonder why you should not just follow the old technique of “regency-frequency-monetary” (RFM) analysis. Manifestly, profiling and modeling add to the cost of your mailing project. The understanding is that for RFM to work effectively you need information on the customers purchasing habits, and that’s the scratch! It only works because your existing client and is of no use in bumping potential customers.
Categories: Customer Tags: Deal With a Customer Segment
