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                202  Part 1 Introduction





                                                      Cars                                    69
                                          Garden/DIY products                               63
                                            Home furnishings                               62

                                              Mobile phones                              58
                                        Large home appliances                           57
                                         Consumer electronics                           57
                                        PC/Computer hardware                          54

                                        Small home appliances                         53
                                          Clothing/accessories                        53
                                     Health and beauty products                      51

                                            Computer games                      44
                                   Financial products or services             40
                                              Food/groceries                 39

                                                         0    10    20    30   40    50    60   70    80
                                                           % (by category) who bought offline after researching online


                                                Percentage by category who bought offline after researching online
                                    Figure 4.3  Source: BrandNewWorld: AOL UK / Anne Molen (Cranfield School of Management) /
                                                Henley Centre, 2004



                                 Motivation for use of online services
                                 Another way for organizations to help them better understand their online customers is for
               Psychographic     marketers to develop psychographic segmentations which help explain motivation. Special-
               segmentation      ized psychodemographic profiles have been developed for web users, for example see Box 4.1
               A breakdown of
               customers according to  for an example of this type of segmentation applied to online purchase behaviour. Which
               different characteristics.  profile do you fit?



                    Box 4.1        Psychographic segmentation for transactional e-commerce

                                   Market research firm BMRB (2004) has developed this segmentation which is used to
                                   represent different attitudes to purchasing online.

                                   1  Realistic enthusiasts (14% 2004, 15% 1999) – characterized by an enthusiastic
                                      approach toward e-commerce but they typically like to see the product in real life
                                      before making a purchase and they often consider that finding the product to
                                      purchase is a difficult process. Examples of this include a willingness to use the
                                      Internet for purchases in excess of £500, they are prepared to purchase products
                                      from an unknown company and consider the convenience of Internet shopping to
                                      be more important than price.
                                   2  Confident brand shoppers (18% 2004, 16% 1999) – members of this group are
                                      happy to use the Internet for the next time they want to make a purchase in excess
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