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The Blurrification of media

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The Blurrification of media

The Blurrification of boundaries in lifestyle, leisure, and media.

In his mid-90s bestseller on the future of media, Nicholas Negroponte — one of the co-founders of the MIT Media Lab — introduced the revolutionary notion of technological convergence: he posited that with the transformation of “atoms to bits” and the consequent translation of all media into digital form, media, and ICT technologies would converge into more personalized platforms. Tech Convergence would be such a tsunami that we expected all media to combine in a super-device or a super-medium. By the year 2000, evidence of technological convergence took the form of DVD players being installed into laptops and computers; TiVos spreading quickly in the US and the UK by setting in motion the demise of the traditional “prime time” model of TV broadcasting and advertising; and, more importantly, Napster’s Peer-to-peer network for sharing — albeit illegally, in most cases — music and movies.

Early detractors of tech convergence pointed out, “No single medium is going to win the battle for our ears and eyeballs.”: While probably what holds today, the nature of technological convergence changed with the introduction of smartphones, tablets, and the smartification of devices, like our television sets and our house appliances. The number of screens is increasing and not decreasing, as one could have expected in a “convergence” phenomenon. Yet, through this growing list of devices, the way we consume media and communicate is coming together in a shared experience.

Convergence: from technological to social trend

In our research on the future of urban consumption for premium and luxury goods, Marco Bevolo and I posit that tech convergence is playing a role in transforming the nature of our social interaction and, therefore, has challenged the traditional fabric of our lifestyles: tech convergence is often referred to as the blurring boundaries between categories, where devices are now developed with functional abilities — and part of digital ecosystems — beyond the traditional notion of the category they belong to. Our research concludes that our lifestyles’ boundaries overlap, undermining our traditional understanding of work, leisure, and entertainment. We refer to this technology-enabled, connectivity-conscious social phenomenon as the Blur. This social trend has its roots in the technological one, which, together with Omni-connectivity, has enabled a long-lasting ripple effect in the fabric of our society and personal lifestyles.

The most solid point of evidence for the changing blueprint of our lifestyle is the Blur between “work” and “play.” Seamlessly, we are switching back and forth between “work mode” and “play,” a process that makes it nearly impossible to distinguish between the two. Offices were once designed and built to improve productivity by fostering communication and reducing distractions by eliminating “noise” beyond sound. Nowadays, we can easily observe the opposite: social areas, playrooms, hammocks, and foosball — even table tennis — are taking the place of meeting rooms. Excellent and inspiring walls are emerging instead of traditional, modular office architecture, and slides, bicycles, and napping sofas are becoming the new staples of office interior design. And while offices are allowing for more and more social and relaxing moments, it does not surprise that people take a break from work — in the office — while streaming their preferred TV series — whether on their desktop, tablet, or phone — or hang with their friends on social media. The extreme case for the change of attitude of firms towards employee social and relaxed behaviors in the office can be found in the emergence of gamification as a tool to educate, train, and innovate.

Once the untouchable sanctuary of our relaxation and unwinding, our homes are transforming into full-fledged remote offices: technology is such that we can work from home, and nobody can see the difference. This is becoming even more true when we are on holiday: laptops, tablets, and smartphones are becoming archetypal accessories when we travel on vacation and sneak out of our leisure time for a quick conference call or to exchange a couple of emails, it’s becoming the new normal: more evidence that the work/ play dimensions are blurring. And, of course, the advent of Digital Nomads is the quintessential evidence of the Blur, with their notion of work unbound from an office location, with the idea of scouting a place to work that maximizes comfort and rest — rather than convenience and productivity — and the implied convergence of business and leisure travel.

More examples of the Blurrification

Beyond the changing blueprint of work and life, the Blur has many other manifestations and examples. But to understand them, we need to first and foremost understand the notion of occasion-based models: in a nutshell, they are clustering exercises where the needs of a consumer are declined based on the specific boundaries of an occasion, which could be related to the time of the day, the day of the week, or a particular period of the year. Occasion-based models are the reason why the same product can be offered in different formats: you might have a small bottle of water to purchase and consume on the go or a large family format for water consumption at home, whereas a glass bottle — instead of the plastic one — is usually served in upper-scale restaurants. Occasions are characterized by a clear beginning and a clear end, and fundamental is the transition from one experience to another: snacks, beer, and spirits have traditionally capitalized on the specific nuances of those transitions, for example, the pre-dinner aperitivo or the Friday evening after-work drinks. Because of the Blur, the traditional borders of occasions and changes are disappearing; unsurprisingly, more and more mainstream restaurants are offering “all-day breakfast.” More and more restaurants are proposing “brunches” every day — traditionally a weekend family occasion — as socially sophisticated meals, often accompanied by liquor.

Moreover, flavored beer and cider have emerged as a critical drink in the repertoire of Millennials, which is remarkable for many reasons. First and foremost, due to the low alcoholic nature of the glasses, they initially targeted female consumption, a segment with whom many beer producers had disappointments in the past. And under the effect of blurring boundaries, consumption spread to male consumers: a beer designed for female consumption that becomes genderless. Even more remarkable is that these beers grew by — often — stealing volumes from water and soft drinks brands in their traditional core consumption occasions: meals and refreshments. A beyond-category competition that neither beer producers nor soft drinks marketers would or could have expected ten years ago.

The Blur also affects how we travel: the traditional dichotomy between business travelers and holiday seekers — on which the hotel and travel industry is built — is not as straightforward as before. Urban Resorts is emerging as a hybrid solution to service travelers’ combined business and leisure needs. Ultimately, the Blur is also affecting the way we shop, especially in the super-premium categories: already today, the sales staff of top luxury watches and jewelers are connected 24 hours a day, seven days a week with their customers, whether they communicate on Facebook, Twitter, Whatsapp, WeChat or just plain, traditional email or SMS, is beside the point. And already today, many of the sales are happening outside shopping hours and off-premise: a costly watch is as likely to be picked up in-store as it is to be delivered on the tarmac of a private jet waiting to take off.

The Future of Branding and Innovation

Because of the Blur, consumers are more and more confused. First of all, the shuttering of the occasion-based model is losing ground under the pressure of the overlapping boundaries of lifestyles. Moreover, the increasing connectivity is enabling more and more opportunities — both in a geographical and chronological sense — to blur traditional patterns: one could be ordering groceries from their phone while commuting back from the office and expecting delivery within the hour. And finally, confusion is also the derivative of the increased offering of products and services or products becoming services.

This misconception stems—among other things—from the misleading cues that traditional formats offer: increasingly, brands still lack mobile-ready “hero images” for online shopping. This is due to the assumption that consumers will mostly shop from larger screens.

The first derivative effect of this confusion is consumers deciding to trust the judgment of those brands whose offering is most relevant to them. Brand Relevance is becoming and will be becoming — even more — a beacon for confused consumers seeking to untangle the complexity of the tech-heavy, always-connected, and blurred lifestyle. This differs from the trading-up and trading-down phenomenon observed at the end of the 90s. Depending on the relevance of a specific category of products, the same consumers could be seen shopping in prime commercial areas for luxury brands or in private-label discounters. The relevance of the category would determine whether the consumer would buy a top luxury brand or a private label alternative. In other words, the category relevance is translated into a brand filter. Within reach of the Blur, the filter becomes the relevance of the specific brand: consumers will likely filter out the brands and products that are irrelevant or too confusing for them. This should pose a significant concern to many brands, which are currently relying on tactical and pricing mechanics to get on the radar screen of consumers. This is even more concerning because of the emerging trend of virtual assistants — artificial intelligence-based algorithms — which are posed to take over some, or most, of the repetitive shopping from consumers. Because of the Blur, many brands face extinction due to algorithms, and they do not even realize it.

The Blur will also entail a change in the way firms innovate. When we see the emergence of digital services like Uber, Lyft, and Airbnb, we observe consumers in action, redefining the traditional boundaries of categories developed to serve their needs. Most younger consumers don’t want cars; they need mobility solutions. They don’t know hotels; they need a bed to sleep away from their bed. Likewise, consumers will push the boundaries of many categories until they find the innovation — a product, service, or combination — that best satisfies their needs. In a recent co-creation session my firm conducted for a client on super-connected homes, several intriguing and unexpected insights emerged: contrary to consumer electronic manufacturers’ impressions, consumers want their CE devices hidden in plain sight. While manufacturers are indulging in a considerable effort to improve the design to fit the consumers’ tastes, consumers will keep pushing for less intruding, no-blinking LEDs and furniture-embedded devices. This might even result in consumer electronics changing their business model from device designers, manufacturers, and sellers to service offerings. Many will have to move beyond the “moving ” boxes” commercial model by becoming co-developers in an Open Innovation ecosystem of connected furniture and design items while, at the same time, generating more of their revenues from services or licensing their software Intellectual Property.

In conclusion, what is the BLURRIFICATION OF BOUNDARIES?

The Blur is a pervasive phenomenon that is changing traditional categories, shopping, and brand-building rules. Companies should — at least — embrace the change by accepting the uncertainty related to this social trend. In addition, they should start co-creating more robust and relevant platforms for their brands with consumers unless they want to be disintermediated by a tech giant from the US West Coast. And more importantly, they should develop open innovation ecosystems, beyond the fear of losing their current business model, by looking at partners in adjacent industries.


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