Page 66 - Decoding Decisions ~ Making sense of the messy middle
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66    CHAPTER 4      INFLUENCING THE MESSY MIDDLE









                          While handing out freebies and upgrades worked well with expensive
                          transactions, the power of free also proved itself with lower-cost, everyday
                          purchases. A buy-one-get-one-free (BOGOF) offer was the second most
                          effective expression of a bias in transferring brand preference in the detergent
                          category, while free popcorn at the cinema also achieved a second-place result.

                          In the short-haul flights category, we see an interesting example of how
                          biases sometimes combine, with a free checked bags offer both expressing
                          the power of free and an important category heuristic (figure 11). This

                          is an issue to which our simulation participants obviously brought a lot
                          of baggage, as the offer proved the most powerful expression of any
                          behavioural bias in the category.




               Figure 11


                   1st choice brand     2nd choice brand


                 100
                                  100                        36                         63
                 75


                 50                                          64


                 25                                                                     37

                  0
                            Stated 1st choice brand  Introduction of 2nd choice brand  2nd choice + stronger expression of power of free

               Power of free executions tested: “free checked luggage” and “free hot drink”. Transfer of preference from first
               choice to second choice brand – “power of free” analysis, short-haul flight category.






















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