Page 76 - Decoding Decisions ~ Making sense of the messy middle
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76    CHAPTER 4      INFLUENCING THE MESSY MIDDLE









                          And even with everything we’d learned so far about the power of these
                          behavioural principles, the results came as a surprise. For example, in the
                          mobile network category, our fictional brand, Gem Mobile, was able to take
                          almost 50% of preference from the favourite brand (figure 20).





               Figure 20


                   1st choice brand     2nd choice brand     Fictional brand


                 100
                              100                  28                   72                  50
                 75
                                                   72
                 50
                                                                                            50
                 25
                                                                       28

                  0
                         Stated 1st choice brand  Introduction of 2nd   2nd choice brand   Fictional brand
                                                choice brand        “supercharged”      “supercharged”
               Transfer of preference from first choice to fictional brand – bias supercharging analysis, mobile network category.






                          Entering new markets is a challenge. Even if we skip over the operational
                          barriers to entry, in many of the categories we simulated, incumbent
                          marketing budgets and brand associations are considerable, presenting yet
                          another hurdle for challengers. Agile, intelligent use of behavioural science
                          might give newcomers a vital advantage.






















                            Source: Google / The Behavioural Architects. 10,000 simulated mobile network  provider purchase scenarios. n=1,000 category buyers, UK
                                                                                        online shoppers, aged 18-65.
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