Nostalgia isn’t what it used to be

Delicate. Potent. Pre-digital.

Nostalgia isn’t what it used to be. Even that line has been mothballed and surpassed (“Entropy isn’t what is used to be”) and has become a creaky involuted joke of sorts upon itself. Nostalgia is different today, as our memories have been digitized, commercialized, and sold back to us, and the rate of change outpaces our ability to stop and lament the fact that we’ve stripped nostalgia of a lot of its raw power. Processed, post-digital nostalgia makes us nostalgic for hazy, pre-digital nostalgia at a spinal level. It’s helped ignite a run on nostalgia–Instagram comes to mind– but our attempts to manufacture it are pointless for consumers and dangerous for brands.

The digitization of memory

No one would argue that one of our biggest nostalgia vectors is imagery. In her essay On Photography Susan Sontag said that modern photography had changed the viewer by creating an overabundance of visual material and by desensitizing the audience. This was 1973. “Essentially the camera makes everyone a tourist in other people’s reality, and eventually in one’s own.” A picture evokes, a hundred pictures numbs, and the kind of twitchy high-rep shutterbug maximalism enabled by digital photography and virtually limitless storage has created a noisy digital gauze that masks memory with too many pixels.

The past also had big proportions. If there had been countless photos or videos of the past, the objective information would probably tell us different stories from the ones we choose to remember. The forest you got lost in when you were 5 is a copse of trees behind the shed. The tree you scaled when you were 8 was not 80 feet but 20. Digital photography takes memories that are idealistic and unrealistic and fossilizes them in 7/8-scale color-corrected realism. But digitization’s assault on nostalgia is really only getting started.

The zombification of nostalgia

Anything that affects us at an emotional level is exhaustively mined for commercial reasons, but this has only intensified with digitization and new media. One could argue that Coca-Cola was the first marketer to use nostalgia as a business model, but today’s hottest consumer tech brands take it to math and machine-driven new heights. Your Kodak moment just got cropped, tagged, filtered, published, shared, liked and stored forever. Great for memory, not so good for nostalgia. How about we frame it with dynamic ads, cool?

 

As one writer put it, “Images of our weddings and graduations, memories of kids’ births and grandparents’ faces now get snugly wrapped by ads for automobiles and toothpaste. The commercialization of our personal and collective pasts has significant cultural and marketing implications. As a matter of fact, it’s now doing what was heretofore unthinkable: It’s killing nostalgia dead.” Of course, nostalgia can’t be killed dead. Even as it’s hollowed out, its hollowing out is lamented, nostalgically.  But the experience of our nostalgia had changed. If not less potent, it’s made less delicate, and less personal.

 Own the database, own the memory?

This is the endgame, perhaps, then: packaging the past as the future and selling our memories back to us, one freemium at a time. Look at today’s three hottest consumer tech brands. Etsy, Pinterest and Instagram all combine a pre-digital activity (scrapbooking, photography, handicrafts) with new rewards and a social platform. How sophisticated is “Nostalgia Innovation”? Pinterest was the fastest brand ever to 10 million visitors, averages 89 minutes per visitor, has become a significant source of referral traffic for retailers, and has yet to scratch the surface of its powerful database of detailed information about our tastes, interests and favorite brands.

A Dangerous Time for brands

It’s too tempting and too easy for brands to slouch their way into lite, digital “neostalgic” templates or slump back on a 100-year brand story. But no matter how powerful a brand’s heritage, it has to keep innovating or get out of the way, even, or perhaps especially, in the new markets built on nostalgia. When nostalgia legend Kodak thought they were in the picture business and forgot they were in the memory business they became a sitting duck for Instagram. By balancing heritage with innovation, and by combining old activities with new rewards, brands can reignite feelings for their brands while keeping an eye open for the next market. But this isn’t Grandma’s apron-type stuff. This is math, vast content tables, logic and relentless grinding futurism.

 

The Birth Agonies of Big Data

 

Imagine a post-apocalyptic future where marketing is ruled by a Thunderdome of data-savvy thieves, mathematicians and homebound analysts. Mordantly obscure algorithms rule the day. Creative directors are used as wheel chocks on the boat trailers of data tamers. And gradually, subtly but inexorably there is a decline of marketing creativity, instinct, and fun. Next, imagine marketing’s new Golden Age, with Big Data as the brand jigsaw’s missing piece, the integration of lumping and splitting, the workday a synaptic firefight of left- and right-brain creativity interpretation and invention.  Whether big data will be regretted for its corrosive effect on the marketing ideal or celebrated for its contribution to it is just one of the data narratives that will play out in our lifetime.
Big Data describes the tornadic, complex messy and overwhelming torrent of today’s digital data. Even as we speak the teeming wormball of data continues to grow in ways that are difficult for man, and increasingly for machines, to comprehend.
The stuff is solid rock. What are some of the birth agonies of Big Data? The answer for marketing, in a kind of trivalent nutshell, is: 1) functional overload, 2 creative schism, and 3) cultural conflictedness.
Functional Overload
The sheer volume of data generated, stored and consumed in the world is bumping up against comprehension. As McKinsey reported, MGI estimates that enterprises globally stored more than 7 exabytes (billion gigabytes) of new data in 2010, while consumers stored more than 6 exabytes. (One exabyte is the equivalent of more than 4,000 times the information stored in the US Library of Congress.) We are generating so much data it’s physically impossible to capture it all. Health care providers, for example, discard 90% of the data that they generate (e.g., almost all real-time video feeds created during surgery). For our clients “death by analytics” means nothing more than information anarchy and the struggle to tame and funnel and shape it; all companies will need to explore how to do the same if they are to compete.
Creative Schism
Big data is also leading to one of the great and terrible fissures in modern marketing, which is the belief that one can work in big data or big creative but not both. The quants will go to digital and the storytellers to brand. Big data is seen as solid rock and arcane, while creativity is subjective ephemera But it’s really a false choice. We need to get much more comfortable creating and interpreting stories out of digital data and seeing that big data is the behavioral storyteller and our ticket to unexpected connections only machines can see, while creativity is still what makes an operant limbic system shake a leg or cry a tear. As Daniel Kahneman said, “Signs of emotional arousal are salient in the reactions to many events – and especially to decisions — so the conceptual separation between emotion and pure cognition seems likely to crumble.” Fusion, not fission.
Cultural Conflictedness
As Pico Iyer said in The Joy Of Quiet, “The central paradox of the machines that have made our lives so much brighter, quicker, longer and healthier is that they cannot teach us how to make the best use of them; the information revolution came without an instruction manual. All the data in the world cannot teach us how to sift through data.” He also reminded us it was Pascal who said that all of man’s problems come from his inability to sit quietly in a room alone. In spite of the bombardment of data and the extroversion of so much personal data online, we are culturally recoiling from so much screen time and retreating to Internet Sabbaths, tai chi, yoga, Crossfit, Netflix, undistracted mindfulness.
The Challenge
Perhaps the fundamental challenge for individuals and for the companies who will need to reckon with Big data in order to compete will be separating what’s merely new from what’s essential, and then challenging the plasticity of the marketing brain. Societies always tend to evaluate new developments in light of what they know – e.g. cars were called “horseless carriages.”  Could we be falling into the same trap with the new data capabilities, i.e. force-fitting our new data capabilities into existing marketing paradigms? Big data, properly disciplined, focused with strategic insights, could lead to the next creative revolution.  A message so relevant, and personal, it will lead to ideas that don’t communicate with mass audiences, but actually emanate from the very people we’re talking to.


Hunting, togetherness, and mass temporary derangement

Black Friday Consumption Rituals

Black Friday shopping activities constitute a mass synchronized ritual that is practiced and shared by multiple generations of female family members and close friends. So says this study. Over a two-year period, the authors along with trained research assistants, conducted interviews with experienced female Black Friday shoppers. Several themes emerged: 1. Black Friday is “hunting for women,” said Leisa Reinecke Flynn, professor of marketing and fashion merchandising at the University of Southern Mississippi. “It’s so much like deer hunting it’s hard to tell the two apart.” 2. Crowds and scarcity make it fun As one of the paper’sauthors said, “At certain levels, consumers enjoy arousal and challenges during the shopping process. They enjoy something that’s harder to get, and it makes them feel playful and excited.” Competition creates a sense of enjoyment from the mere process of buying goods. 3. It’s ultimately about togetherness. This is the warm soft belly of Black Friday: it’s ultimately more about relationships than transactions. Shoppers relish the day in part because it allows them to spend time with close friends and family, bonding as they endure serpentine lines, traffic and parking snarls, and the twinkie-defense, heat of the moment bad behavior of their competition.

From consumption-model to production-model.

 

 

 

 

 

 

 

 

 

At a time of abundant natural energy discovery, a weak dollar and China manufacturing wage inflation, when Boston Consulting Group is predicting an “imminent” manufacturing renaissance, it will be interesting to see how manufacturing’s second act plays out against, among other things, the “Age of the Customer.” The shift to the consumption model has always felt slightly hollowed out and less patriotic and robust. It felt like more about the individual and less about teams. It felt like the death of civics. The customer will remain a technology-enabled web-empowered super consumer, but if the renaissance does unfold over the next several years as suggested, it will impact everything from brand USA to buyer psychology to cultural identity to music and cinema.

The Social Business Index is Big Data Beauty

 The SBI analyzes hundreds of millions of signals from tens of thousands of companies in real-time and is free to use.

 

The Social Business Index is a free service that measures how “social” a company is and how it compares to its industry and competitors. So far, 300 large companies have signed on as participants, including Facebook, Google, Nike, Walt Disney, and Coca-Cola.

The data used to put together the Index is made up of “company, employee, partner, vendor, customer, engaged market and influencer data, and derived from APIs and data obtained through purchases, partnerships, scraping, crowdsourcing and otherwise by its internal data team.” The data no-hands-ism involved? Natural language processing, machine learning, and clustering algorithms in near real-time. Plus, it’s lovely to behold.

Weaknesses? Today the scores are relative to one another but have no direct meaning and nothing to anchor them. 900 is better than 800, but is 900 good? Numbers crawl the page like a stock ticker but without context they feel arbitrary and meaningless. Plus the algorithms driving the score are a mystery. Without investing to go deeper with creator/publisher Dachis (there’s the hook), it’s hard for a company to understand how and where to remediate or invest. If I had to give it a grade, I’d give it a 5 (using my secret scoring formula).