Graham and T.Rob – the “uncanny valley effect” is brilliant. But the most valuable number to me is the 4%. Back in the day, “mass marketing” success formula for a new product was "80% awareness X 30% Trial X 70% retention = 16.8% adoption.” The variables are mass media (awareness), availability (trial), product performance (retention). If GfK’s “Brand attachment”(4%) is similar to “adoption”, what is the formula for success for a “personalisation” advertising campaign? What if it looks like this: 10% Awareness X 60% Trial X 70% retention = 4.2% adoption. I’m hypothesizing that “personalisation" advertising is so much more contextually relevant and well timed that trial is double a mass marketing campaign. As Graham points out it just may not be cost effective to invest in a level E “personalisation” tactic to improve from 4 to 4.8%. Especially when there’s the risk of the valley effect if the “personalisation” is not just right. How about reversing strategy. Instead of a higher level of “personalisation”, target a wider audience (for example, a community with relatively common interests to the personalisation data) to increase the awareness level. For example, increasing awareness from 10 to 15%, reducing trial to 50%, but maintaining the 70% retention rates yields 5.2% adoption (higher than the highest level at the E “personalisation” level, without risking the valley by getting too personal). How does this relate to VRM – maybe the entry level of a VRM tool invites individuals to share information that identifies them anonymously, relative to a community or a sub-segment within it, which Vendors can target with a message personalized to that context rather than the individual. K- From: Graham Hill <
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> Date: Friday, April 11, 2014 at 4:36 AM To: Datar Sahi < "> > Cc: ProjectVRM list < "> > Subject: Re: [projectvrm] Personalisation Works… up to the Uncanny Valley Hi Datar I am with you 100% on this. There is no doubt that marketing personalisation works for most customers for the reasons you outline. From my vantage point of a project to optimise a retail insurer's marketing media mix, I can see that increasing personalisation increases the number of conversions, increases the number of quotes and increases the number of sales. Music to a marketer's ears. But that doesn't mean it is a get out of jail free card for marketers. There are two challenges that limit its ultimate effectiveness: over-personalisation and diminishing returns. As T.Rob wrote about in an earlier post in the 'uncanny valley' (https://ioptconsulting.com/escaping-advertisings-uncanny-valley/) theoretical work in robotics applied to personalisation suggest that increasing marketing personalisation increases its effectiveness up to a point where it becomes so disconcertingly creepy that it rapidly declines in effectiveness. This is the uncanny valley. This was just a theory until recently when UK market researcher GfK carried out some research on the subject. As Colin Strong described in a presentation at the recent Personal Information Ecosystems event organised by Ctrl Shift in London (which I was fortunate enough to be invited to attend), as personalisation increased so did brand attachment (a proxy for marketing effectiveness) up to a point where the uncanny valley effect kicks in and brand attachment rapidly declines. ![]() If the uncanny valley exists, and GfK's research tentatively suggests it does, the big question is how much personalisation has the maximum effectiveness. And related to that, how should personalised marketing be presented so that it's effect is maximised. My experience working with marketers suggest that we are still a long way from maximising the effectiveness of marketing personalisation. Even if marketers knew what the optimum level of marketing personalisation was, that doesn't mean it is economically viable. As marketers seek to gather, analyse and generate usable insights from ever more data the associated costs increase at a much faster rate. Going from a level C of personalisation (on the graphic) to a level D might only require a modicum of customer data, analysis and insight and be cost effective, but going from a level D to a level E might require so much additional data, analysis and insight that it is no longer economically viable. Marketers are not yet widespread users of big data so much of these empirical calculations have yet to be confronted. All in all, marketing personalisation works, of that there can be no doubt. The known unknowns are how much personalisation is optimum from both a marketing effectiveness and an economic viability perspective. Answers on a postcard to the usual address. Best regards from Cologne, Graham PS. Personalisation is just a proxy for inferred customer intent. But that is a topic for another long email. On 9 Apr 2014, at 23:15, Datar Sahi <
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> wrote: Hi Don, -- Dr. Graham Hill UK +44 7564 122 633 DE +49 170 487 6192 Partner Optima Partners Senior Associate Nyras Capital |
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