Page 89 - Decoding Decisions ~ Making sense of the messy middle
P. 89

89    CHAPTER 5      IMPLICATIONS OF THE MESSY MIDDLE









                          Brands themselves provide this reassurance – in our shopping simulations,
                          even when fictional or non-preferred brands were supercharged to address
                          all six biases, the preferred brand still invariably retained some loyalty. This is
                          just one example of how a better understanding of the cognitive biases that
                          underpin decision-making can help to create a compelling proposition that
                          appeals to shoppers at an instinctive level.





                                       A better understanding of the


                                      cognitive biases that underpin


                       decision-making can help to create a


                    compelling proposition that appeals to


                                     shoppers at an instinctive level.







                          Employing behavioural science intelligently


                          Although pre-existing brand affinity and price are undoubted drivers of
                          purchase decisions, we have seen that purchase outcomes can also
                          be strongly influenced by the messages, propositions, and tactics that
                          competing brands bring into play. Behavioural science principles can be
                          applied at several points within the messy middle:


                                     Use available data to qualify and categorise shoppers who
                                    are evaluating – data-driven algorithms should eventually

                                    make this identification possible at scale.

                                     Ensure that your ad messaging is tailored to the needs of
                                    evaluative shoppers, containing behavioural biases relevant
                                    to your category.
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