Personalisation old and new (August 13, 2010)
I recently read a blog mocking Tesco's inability to personalise an email. Remember, this is an organisation that takes 1 in every 7 pounds spent in the UK. Tesco has huge resources, it has technology and some smart marketers and it knows how to use them. So why send a middle-aged male an email featuring products as diverse as Stella Artois, E45 and Pampers? Quite simply Fred has many shopping personas. He buys for his weekend BBQ, for his misses and for his grand children. For the people that *push* the personalised dream and all the associated expensive toyware, this complexity is swept aside with counter arguments: Fred doesn't fall into a target category and so get's the generic email.
Think about it this way. Tesco knows many things about the lives of it's patrons thanks to the power of loyalty cards. It knows you use 4 cans of beans in a normal week, it also knows this level of consumption goes up to 6 during school holidays. Tesco can then personalise offering to you based on past buying trends which is a bit like predicting the weather. Powerful computers run weather models logged and stored from the past, looking to patterns that closely match current conditions and then predict what will happen next based on these recorded patterns. In a situation where we don't get to choose our weather this is second best. And here's the point, if you're planning a personalised web journey, example: Fred purchased a Kettle BBQ, offer him some fire lighters and a pound of sausages! be careful with your assumptions. Suggestions are useful, but going as far as *trimming* navigation options may not be. Personalised web journeys are the equivalent to reorganising a store layout for every shopper. A powerful proposition. But how would you feel if three quarters of the store wasn't accessible to you? In my view, web personalisation as determined and driven at organisation level is of limited use to the consumer, though I accept suggestion engines are helpful to both buyer and seller. However, remove the personalisation algorithms from interested parties, add location, date and time data with social computing and mobile devices and web journeys might be invited, even welcomed. I've described a scenario here which demonstrates the shift from search to find, from laptop to handheld and from personalised to recommended. It doesn't fit the mental models of most marketers but it is the democratisation of everything. It is where social meets internet meets physical world. To be continued../