Page 58 - Decoding Decisions ~ Making sense of the messy middle
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58    CHAPTER 4      INFLUENCING THE MESSY MIDDLE









                          But even bearing that caveat in mind, it is remarkable that, despite their
                          stated preference, and statistically controlling for the differences in other
                          variables, simply giving the shopper the option to choose their second choice
                          brand was enough to entice 30% away from their initial choice.

                          The car category is full of recognisable brands, so this result may in part
                          simply be down to two sets of powerful associations doing battle in the
                          shopper’s mind. But what if we look at another category, no less hotly
                          contested but with very different associated values and brand attributes?


                          Buying a car sits at one end of the spectrum of purchase complexity on our
                          product matrix, so let’s look at a related but less complex purchase - car
                          insurance (figure 4).





               Figure 4


                   1st choice brand     2nd choice brand


                 100
                                               100                         40
                 75

                 50
                                                                           60

                 25


                  0
                                          Stated 1st choice brand  Introduction of 2nd choice brand
               Transfer of preference from first choice to second choice brand after introduction of second choice brand,
               car insurance category.






                          It turns out that car insurance is also far from immune to the power of
                          showing up. In fact, the effect is even larger than that witnessed in the car
                          purchase simulation, with only two of the 31 categories in our experiment
                          being more prone to switching than car insurance.






                    Source: Google / The Behavioural Architects. 10,000 simulated car insurance purchase scenarios. n=1,000 category buyers, UK online shoppers, aged 18–65.
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