Regression analysis helps lift response

Article Abstract:

The response and conversion rates of consumer direct marketing campaigns can be improve by using regression analysis. It is a computerized statistical process of generating a predictive model of customers that are likely to become buyers. Regression analysis works by matching the customer file to a selected database to find names included in both files. Situations where regression analysis may prove effective include mailing lists with declining response rates and absence of potential prospects using the current set of demographic and psychographic elements.

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How teens influence buying decisions

Article Abstract:

Direct-mail marketers should seriously consider the inclusion of teenagers in their mailing lists since this age group comprise a sizeable market. The emergence of two-income families, teen/young adult-oriented media outlets and the advent of the Internet have shaped them into trend-driven shoppers, who make their own purchasing decisions. Market studies also show that teens are major buyers of cosmetics, health and beauty aids, music and videos, electronic and sports equipment.

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Getting the most out of the right broker

Article Abstract:

The basic function of mailing list brokers is to find the most suitable lists for direct-mail marketers. List brokers should be able to know which lists are working or which need updating. They are also sources of information about lists that are already available on the market and those that not yet available. The best brokers are those who know the particulary industry of a marketer, their market and the responsiveness of individual lists for that market.

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