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We value your privacy Candyspace uses necessary cookies to make our website work. We would also like to use cookies to personalise your experience, provide you with a more engaging environment and to analyse how our website is used to improve its quality. We do not use marketing cookies and we do not place non-essential cookies without your consent. Please see our Cookie Policy Privacy Policy page. Cookies settings Accept All Decline All Work Insights About us Careers Contact Book a consultation * Work * Insights * About us * Careers * Contact MARCH, 2022 THE PERSONALISATION / PRIVACY PARADOX Matt Simpson Managing Director BRANDS ARE YET TO FULLY DELIVER ON THE PROMISE OF PERSONALISATION – AND CONSUMER DEMAND FOR GREATER PROTECTION OF THEIR DATA IS MAKING IT EVEN HARDER. Back in 2015 – pretty much the dark ages in terms of digital – I stood up at Social Media Week in Copenhagen made a prediction: That by 2020 every time we as customers interacted with a brand it’d be on a highly personalised level, informed by transactional, behavioural, attitudinal, contextual and all sorts of other data. (I had a whole riff on digital being able to deliver the same sort of comforting familiarity as a local Danish shopkeeper – to the mostly bemused looks of the audience.) Anyway, while my predictions at the time were informed by the advances in data engineering and the increasing sophistication of DXPs such as Episerver (now Optimizely), clearly I got it catastrophically wrong. Because we’re now in 2022 and while data engineering and the sophistication of DXPs have indeed massively advanced, brands still aren’t really delivering on the promise of personalisation. Think about it: how often does an interaction with a brand feel genuinely personal – not the sledgehammer of segmentation, but something unique and valuable to you? So why this collective failure? Well, firstly it’s not due to a lack of ambition. Two years after my doomed Social Media Week presentation Keith Weed, CMO of Unilever at the time, said this: “At Unilever we have an ambition to have a billion one-to-one relationships.” What he meant was that with a supercomputer (i.e. a smartphone) in everyone’s pocket, customer behaviour is driven by micro-moments of need. If a brand can anticipate and assist with those needs with personal, relevant content, it becomes incredibly powerful. Thing is, brands were typically built for the masses and this shift to the personal is a huge one for them: culturally, philosophically, organisationally. And it’s difficult: aligning massive, disparate data sets into a single customer view and being able to leverage insights into relevant personal experiences for customers is no small task. But the tech is there: take a look, for example, at Optimizely’s recent acquisition of customer data platform Zaius and the increased power it puts into the hands of marketers. The demand is also there: according to this recent McKinsey report 71% of online customers expect personalisation and 76% are frustrated when it isn’t delivered. But here’s the paradox: at the same time as expecting greater personalisation customers are also demanding greater privacy. Not that surprising given that 2021 was a record year for data breaches, up 68% on 2020. In a recent KPMG survey 86% of the respondents said they feel a growing concern about data privacy, while 78% expressed fears about the amount of data being collected. Meanwhile DuckDuckGo – a search engine that protects users’ privacy – grew by 47% in 2021 while Google are following in the footsteps of Safari and Firefox in eliminating third-party cookies from its Chrome browser next year. (No more ads following you round the internet - yay!) Perhaps most tellingly, a Gartner survey found that people are more than three times more likely to give up altogether on brands that “over-personalise” versus those that under (or don’t) personalise. The way through this paradoxical situation, then, is to recognise that customers will still appreciate personalised experiences, but only if they’re done with the utmost sensitivity and deliver value for them in exchange for the data they give up. Or to put it another way: I’ll happily tell a brand pretty much anything about myself as long as it benefits me to do so. That’s why zero-party data is so valuable – rather than inferences drawn from behaviours, it’s what a customer has voluntarily told you. Which means the brand has a great responsibility to deliver something meaningful in respect of that – again, a value exchange. (Online beauty brands are pretty good at this: check out the skincare / haircare quizzes on the likes of Glossier, Function of Beauty and Skin + Me – along with Candyspace’s work with Augustinus Bader.) The ability to deliver these sort of value exchanges is of course dependent on having the right technologies to be able to effectively transform the data into meaningful personal experiences for customers. But the tech alone won’t do the job: it also requires marketers to think with product mindsets. Marketers, after all, are now typically the custodians of multiple digital products and the touchpoints through which personalised experiences are delivered. The mindsets and methods of old – large-scale interruptive campaigns, for example – are no longer so effective for today’s hyper-empowered customers. A product mindset is one relentlessly focused on delivering value for customers: always on, data-driven, continuously evolving and driving outcomes rather than output. Disruptive scale-ups are inherently better at this and traditional businesses can learn a lot from them. Take Slack, for example, who put customer obsession at the heart of their business and iterate their product based on constant, real-time customer feedback, and using metrics such as NPS and daily active users to assess their success. It means not relying solely on marketing analytics tools such as Google Analytics (great for determining how users are arriving at a digital product) but embracing product analytics solutions such as Mixpanel (great for understanding how users are actually engaging with a digital product). And it means embedding a culture of experimentation. Test, learn, repeat. Finally, remember the humans. And while I’m of no doubt that eventually the AI that can help brands deliver personalised experiences at scale will eventually turn on us and kill us all, for the moment we must remember that at the heart of personalisation is human need.View case study TAKING THE GUESS WORK OUT OF PETCARE WITH MARS MIOME View case study That was Candypace’s starting point for our work with Mars Petcare: a recognition that pet wellness is a universal pervasive pain point for pet owners across the world. We created an AI-driven mobile app that helps those owners monitor the health of their pets, providing content, tracking, diagnostics and individualised lifestyle and diet recommendations. This is a value exchange: it empowers pet parents with knowledge and reduces their anxiety, while Mars Petcare gains valuable zero-party data to help them communicate even more effectively with their customers. So with a product mindset, a focus on human need and the right technology choices brands can deliver personalised experiences of value to their customers – and work towards those billion one-to-one relationships our friend Keith Weed spoke about. This time, though, I’m not going to make any predictions about how quickly that’s going to happen… Share Contact hello@candyspace.com www.candyspace.com Subscribe now and get our articles straight to your inbox Candyspace Insights Email Subscription View case study View case study * Contact * Privacy Policy * Terms & Conditions Copyright © 2021 Candyspace. All Rights Reserved.