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Trends, threats and opportunities in the film industry
“In the 1950s… 80 per cent of the audience was lost. Studios tried many ways to win back this audience, including new technologies such as Cinerama, but none of these worked. What did work was to view the entire business as basically an intellectual properties business where they optimised on as many platforms as possible. That’s the business today.”
– Ed Epstein
Strategy is something that this blog has in the past accused the film industry of lacking, particularly when it comes to issues of development (over-leveraging risk with expensive tentpoles) and distribution (a lack of progressive thinking when it comes to day-and-date openings across platforms). This piece takes a look at how, in some areas, there are kernels of hope for the industry, as well as some specific areas that are ripe for improvement.
Given our initial contention, It was refreshing to discover this gem of an illustration (see top image) from none other than Walt Disney himself that was recently recovered from the archives, according to Harvard Business Review, showing “a central film asset that in very precise ways infuses value into and is in turn supported by an array of related entertainment assets”; all that’s missing is the strategic goal. Such forethought, of complementary assets combining to drive value, is arguably a symptom of the much-ballyhoed “synergy” and convergence the industry has undergone over the past ten to fifteen years; here was Walt writing about in 1957. The HBR article contends that it is not just synergy that is important, but in identifying those areas where you possess “unique synergy”. Disney’s current state, with Pixar, Marvel and Lucasfilm as content production houses, is an impressive pursuit of such a unique synergy, helped in no small part by having the impressive Bob Iger at the helm. The recent announcement of a Han Solo origin story, with the pair behind 21 Jump Street attached to direct, would have been to music to many a filmgoer’s ears. Unfortunately, the danger of undue risk from arranging a surfeit of tentpole releases remains, and is unlikely to be challenged while films such as Tomorrowland tank and Jurassic World soar. A brilliant piece on the evolution of the summer blockbuster, featured in the Financial Times recently, can be found here.
The film industry in China is a subject we last wrote about around a year ago. It’s a booming scene out there (last year China added as many screens as there are in all of France), which despite a quota on foreign film has proved enormously profitable to Hollywood. And while some films have had to seek opaque deals that ensure the inclusion of Chinese settings and talent in order to get the thumbs up for exhibition in China – e.g. the latest iteration of Transformers – others pay scant attention to such cultural pandering, and meet with similar success. In June, the Financial Times wrote that Furious 7 had no Chinese elements, but still managed to break “all-time box-office records since its release in China in April, taking in almost $390m”. Importantly, the figure beat the US’s taking of $348m. China is due to be the largest movie market in the world in less than three years. As we have written before, part of this is due to the cultural interest in moviegoing; people will see pretty much anything in China while the experience is still new and tantalising. While good for revenues, it does imply that content produced will be increasingly skewed – at least for a while – to lowest common denominator viewing that titillates rather than stimulates. The sheer volume of takings for such fare is ominous; of the fastest films ever to reach $1bn globally at the box office, three are from this year. China has played no small role in this development.
However, all is not as rosy as it could be. Traditional players in the industry are wary of new entrants. Domestic companies Baidu, Alibaba and Tencent, YoukuTudou and Leshi have either partnered with studios for exclusive distribution deals over online platforms – irking the exhibitors – or simply investing in developing their own studios and content production. The FT writes, “[c]ollectively, these internet firms co-produced or directly invested in 15 films in 2014, which earned more than Rmb6bn ($965m) at the box office last year – a fifth of total receipts… Industry participants worry that these internet giants may soon seek to cut them out of the equation altogether“.
How to respond to such disruption? Well, they might for a start take a step up in their customer engagement management, from developing more complex segmentation to encouraging retention, whether it be to a particular studio or a particular cinema. At a simple level, this might mean things like not revealing the twists of films in the trailer. At a more complex level, it might involve working with social networks, perhaps even some of the very ones otherwise considered as competitors, listed above, to gain Big Data insights that can better inform messaging, targeting and identification of high-value users. Earlier this year, Deloitte worked with Facebook to produce a piece of thought leadership that looked to do just that, helping telcos with what was defined as “moment-based”, dynamic segmentation, with initial work and hypothesis from Deloitte and their Mobile Consumer Survey correlated against Facebook’s data trove. Using different messages over innovative channels, for example on WeChat, would also likely prove fruitful. Luxury brands, long the laggards in digital strategy, have recently been making headway in customer engagement via such methods. Looking further ahead, they might also consider how their “unique synergy” will be positioned for future consumer trends. The Internet of Things is set to fundamentally change the way we go about our lives, including the relationship businesses have with their customers. How will it impact movie-going and people’s relationship with the cinema? For all the global talk on the impact of such devices, the film industry has yet to develop any coherent thinking on it. One bright area is the subject we mentioned at the beginning of our article; collapsing release windows. Paramount announced earlier this month they have reached an agreement with two prominent US exhibitor chains, Cineplex and AMC, to “reduce the period of time that movies play exclusively in theaters” to just 17 days for two specific films, according to The Wrap. It’s not clear what financial (or otherwise) incentives the theater chains received for such a deal.
So while the threat of disruption is ever-present – as it is for so many industries around the world right now – there are ample opportunities for studios and exhibitors to up their game, through better targeting, better communication, better distribution deals, and, just maybe, better product.
Big Data needs a Big Strategy
We’ve written several times over the years about the deployment of Big Data. One of the key challenges with such tools is the seductive risk of treating the data as a catch-all answer to a question not asked. Zeitgeist in the past worked with a large client in the public sector that understood this pitfall and studiously avoided it by knowing beforehand what Big Data meant to them, and how it could be used to improve its strategy and operations.
Without such forethought, applications of Big Data can be ineffectual, if not outright harmful, as the president of eBay Marketplaces said last year in an interview with McKinsey. Governments around the world – particularly in the West – have been using Big Data for some time now to help identify extremists. The jury is still out for some as to how harmful government digital surveillance can be. The deliberate weakening of virtual systems has its root in the fact that the US government originally classified once-arcane cryptography as a munition, which when licensed abroad was watered down. “The idea of deliberately weakening cryptography in the name of national security has not gone away”, writes The Economist. An article published in The New Yorker earlier this year investigated the NSA’s uses of Big Data – specifically mass surveillance of individuals in the US and beyond over cellphone metadata, social media, etc. – and found it wanting. This appears to be partly because there is no pre-determined strategy for what they want the data to do, other than to figuratively chuck it onto the pile with the rest of the data they have, which at some point might be used. The efficacy of such a practice, according to the article, has been minimal. In all of its surveillance, the article claims there was but a single case “where the NSA’s phone-records program was decisive”. It is perhaps telling that most of the perpetrators of terrorist attacks that have occurred on Western soil since 9/11 have been known to the intelligence community. In other words, the data needed was presented, but there was no strategic oversight for how it should be deployed. It is perhaps an inevitable consequence of too little direction and too much volume. The New Yorker elaborates, below:
“Patrick Skinner, a former C.I.A. case officer who works with the Soufan Group, a security company, told me… ‘We knew about these networks,’ he said, speaking of the Charlie Hebdo attacks. Mass surveillance, he continued, ‘gives a false sense of security. It sounds great when you say you’re monitoring every phone call in the United States. You can put that in a PowerPoint. But, actually, you have no idea what’s going on.’
By flooding the system with false positives, big-data approaches to counterterrorism might actually make it harder to identify real terrorists before they act. Two years before the Boston Marathon bombing, Tamerlan Tsarnaev, the older of the two brothers alleged to have committed the attack, was assessed by the city’s Joint Terrorism Task Force. They determined that he was not a threat. This was one of about a thousand assessments that the Boston J.T.T.F. conducted that year, a number that had nearly doubled in the previous two years, according to the Boston F.B.I. As of 2013, the Justice Department has trained nearly three hundred thousand law-enforcement officers in how to file ‘suspicious-activity reports.’ In 2010, a central database held about three thousand of these reports; by 2012 it had grown to almost twenty-eight thousand. ‘The bigger haystack makes it harder to find the needle,’ Sensenbrenner told me. Thomas Drake, a former N.S.A. executive and whistle-blower who has become one of the agency’s most vocal critics, told me, ‘If you target everything, there’s no target.’“
This last quotation applies to strategy in general. Without anything specific to focus on as a strategic achievement or direction, one shouldn’t expect any improvement in that area.
The future of retail – What digital will do next for commerce
Back in July of this year, while schoolchildren dreamt of holidays and commuters sweated their way to work, management consultancy McKinsey sat down with president of eBay Marketplaces Devin Wenig. The interview is above; we’re going to pick on some highlights below as Wenig pontificated on the future of bricks and mortar stores, the change needed in marketing, the fallacy of big data and what will make for good competitive advantage over other retailers in the months and years to come. Often with talking heads the output can be generic and anodyne. Wenig though offers some insightful thoughts.
The future of the store: “I think stores are going to become as much distribution and fulfillment centers as they are full-fledged shopping experiences… They’ll become technology enabled so that you can go to a store and see enough inventory, but you may shop “shoppable windows.” We’re building those right now for retailers around the world. You may end up hollowing out the real estate, where the showroom is a much smaller part of the footprint, and the inventory and the distribution center become more of that footprint.”
How marketing needs to change: “There are still many instances that I see where it is old-school marketing. It’s still about major TV campaigns, get people into the stores. That’s still important, and that’s not going to go away. But understanding how to engage in a world of exploding social networks, how to use search, how to use catalog, how to optimize, and how to engage—very different skills.”
Competitive advantage: “I think the answer is data… While from the merchant standpoint incredible selection may seem great, from the consumer standpoint it can be overwhelming. I actually don’t want to shop in a store with a billion items for sale, I’m just looking for this. Data is the way to connect a long-tail advantage with consumers that oftentimes want simplicity.”
Executing on strategy: “Great data is both art and science. There’s a lot of press about the science; there’s not as much about the art. But the truth is that judgment matters a lot… we bring quantitative analysis to that to say, “The right way to look at our customers is this, not this,” even though there are infinite ways we could.”
The fallacy of big data: “It’s not about big data, it’s about small data. Big data is useless… it’s about me connecting with you, my business connecting with you. You don’t want to be part of a big data set; you’re just looking to buy a shirt. And that’s about small data. That’s about understanding insights that I can glean about you that don’t feel intrusive, don’t feel creepy, and don’t feel artificial—but feel natural. That, to me, is the future. There are glimmers of success there. I wouldn’t say the industry has arrived. For all the rhetoric about data, it’s a work in progress, but a critically important work in progress.”
Merging experiences: “E-commerce [fulfills] a utilitarian function… Stores have an important element of serendipity… The future of digital commerce is trying to get the best of both… we’re trying to spur inspiration.”
“Lots and lots of files” – Privacy, data and a new currency
One of the seminal television shows of the 1990s, The X-Files played on myths, legends and government paranoia to worldwide critical and popular acclaim. One of the key episodes of the series found the lead characters, FBI agents Mulder and Scully, happening upon an abandoned mining facility. Contained inside were row upon row of filing cabinets. Inside, thousands of names spilled forth. The sheer number of file drawers is a visual feast for the viewer. But there is more; one of the agent’s names is in those files. Personal data on her (in the form of a tissue sample) has been taken without consent. Down the rabbit hole we go…
We have always operated under the assumption that governments must surveil in order to protect its citizens. The difference today, as Edward Snowden has so plainly shown, is firstly that you are the one being watched, and secondly that the sheer extent of the surveillance and the pervasive nature of its collection is staggering. The pervasiveness of all this is a key point. Not much in the way of policy has changed really in the past fifty years, it’s just that spying on swathes of the world’s population has become increasingly easier and cheaper. Back in 2006, the UK’s Information Commissioner’s Office warned that the country was moving “towards pervasive surveillance”. Such a prophecy seems to have turned into reality. It creates an uncomfortable feeling that those in charge do not have our best interests at heart, or at least that the ends do not justify the means.
Some of the finest publications in the world have been struggling to make sense of what all this means; Zeitgeist is using this post to highlight some of those key thoughts and issues covered. Back in September, The New York Times reported, paradoxically,
“Even agency programs ostensibly intended to guard American communications are sometimes used to weaken protections. The N.S.A.’s Commercial Solutions Center, for instance, invites the makers of encryption technologies to present their products to the agency with the goal of improving American cybersecurity. But a top-secret N.S.A. document suggests that the agency’s hacking division uses that same program to develop and ‘leverage sensitive, cooperative relationships with specific industry partners’ to insert vulnerabilities into Internet security products.”
Zeitgeist remembers dining alone in New York in September poring over the news. The NSA tried to ask for permission to legally insert a ‘backdoor’ into all digital encryption, but were denied. So they went ahead and did it anyway. They influenced government policy that led to fundamental weaknesses in encryption software. Last week, a federal judge considered the constitutionality of the US’s surveillance programmes. He called the technology used by the NSA “almost Orwellian” and ordered it to stop collecting the telephone records of two plaintiffs. It is one of several cases currently underway.

Click to see The New Yorker’s infographic on what personal data is made available to social networks and their advertisers
Of course, such spying would have not have been possible without the consent – tacit or otherwise – of companies in the private sector. There is clamor in the US, UK, Brazil and other countries for more restrictive regulation that makes it harder to collect consumer data. Such policy could make data analysis and collection onerous and might have a significant impact for those businesses that make a living out of using such data. As The Economist puts it,
“Should all this make it harder and costlier for companies to gather information, that would hurt the likes of Facebook and Google, which depend on knowing enough about their customers to ping them with ads that match their tastes.”
The New Yorker recently featured a fascinating article complete with unnerving infographic (excerpted image above) showing just how much information we display on our various social networks is then shared with the platform and its advertisers. This month, a new film, Her, arrives in cinemas, from the director of Being John Malkovich. The heroine is a disembodied voice – acted by Scarlett Johansson – who serves as operating system. The line between her servitude and rapid consumption of all her user’s data quickly becomes blurred. As the reviewer Anthony Lane puts it, also for The New Yorker,
“Who would have guessed, after a year of headlines about the N.S.A. and about the porousness of life online, that our worries on that score—not so much the political unease as a basic ontological fear that our inmost self is possibly up for grabs—would be best enshrined in a weird little [film]?”
Unsurprisingly, the results of a recent YouGov poll in the UK showed consumers were now far less willing to part with their own data. Almost half would be less willing to share their personal data with companies in the next five years. A mere 2% said they would be more willing to do so. Part of the problem lies in a lack of transparency: who is using my data, which piece of information exactly, and how does it benefit them? More importantly, what am I getting in return for surrendering my data? Steve Wilkinson of Ernst & Young offered little in the way of cheering news, “Many customers have recognised that businesses are using their personal information to help increase revenues, and are starting to withdraw access to their private data… In spite of this, there is a reluctance to adopt incentives that encourage consumers to part with personal data”.
Writing in the FT yesterday, Evgeny Morozov penned an excellent article claiming the media was spending far too much time on the intricacies of government involvement rather than how the whole cocktail mixes together. The overreach, according to the author, is being treated as an aberration, that will disappear in the face of tighter controls and the harsh light of day. It should instead, Morozov argues, be treated as part of a worrying trend in which “personal information – rather than money – becomes the chief way in which we pay for services – and soon, perhaps, everyday objects”. The article continues,
“Now that every piece of data, no matter how trivial, is also an asset in disguise, they just need to find the right buyer. Or the buyer might find them, offering to create a convenient service paid for by their data – which seems to be Google’s model with Gmail, its email service… [W]e might be living through a transformation in how capitalism works, with personal data emerging as an alternative payment regime. The benefits to consumers are already obvious; the potential costs to citizens are not. As markets in personal information proliferate, so do the externalities – with democracy the main victim. This ongoing transition from money to data is unlikely to weaken the clout of the NSA; on the contrary, it might create more and stronger intermediaries that can indulge its data obsession.”
“Should we not be more critical of the rationale, advanced by the NSA and other agencies, that they need this data to engage in pre-emptive problem-solving? We should not allow the falling costs of pre-emption to crowd out more systemic attempts to pinpoint the origins of the problems that we are trying to solve. Just because US intelligence agencies hope to one day rank all Yemeni kids based on their propensity to blow up aircraft does not obviate the need to address the sources of their discontent – one of which might be the excessive use of drones to target their fathers. Unfortunately, these issues are not on today’s agenda, in part because many of us have bought into the simplistic narrative – convenient to both Washington and Silicon Valley – that we just need more laws, more tools, more transparency.”
“I hope for the comedy… I suspect the horror. Possibly in the future you’ll no longer be permitted to be who you think you are, or even who you’re pretending to be: You will be who they say you are, based on your data-mined, snooped-upon online presence. You’ll be stuck with that definition of yourself. You won’t be able to take off the mask.”
Such disconcerting thoughts on having your own personality dictated to you might once have been the stuff of science-fiction, apt for an episode of The X-Files. Besides adages of truth being stranger than fiction, the clarion call of these publications appears to be that people should be sitting up and taking notice of what has been going on over the last ten years with extensive policy / data / consumerism creep. It is not just the NSA, but the way society intertwines information for monetisation that must be scrutinised if we are to avoid having to worry about trivial things like playing videogames in peace.
The Big Data Fallacy
The latest issue of Foreign Affairs features the cover article “The Rise of Big Data” by Kenneth Cukier and Viktor Mayer-Schoenburger, which mostly details some of the incredible ways companies like UPS, Google and Apple have come to rely on vast arrays of numbers in order to run their businesses better. But data has always provided a problem in that it gives a substantive assurance of certainty that has a propensity to foster overconfidence in those relying on it. The article attempts to address this:
“[K]nowing the causes behind things is desirable. The problem is that causes are often extremely hard to figure out… Behavioural economics has shown that humans are conditioned to see causes even where none exist. So we need to be particularly on guard to prevent our cognitive biases from deluding us; sometimes, we just have to let the data speak.”
The sentiment here is admirable, and the context perceptive. But the final part of the quotation (my emphasis) assumes wrongly that data can speak objectively, that there is a fundamental ‘truth’ in a number. All too often though the wrong things are measured, or not all variables are measured. What data does not record, or worse, cannot record, can often be overlooked. While ostensibly data is there to provide assistance with building models and predicting future trends and movements, it sometimes leads to a very narrow view of one particular future, and fails to account for possibilities, that, though while unlikely, could potentially be devastating. This is what Nicholas Taleb writes about in his by turns unreadable but seminal work, Black Swan. The fictional, paranoid loner Fox Mulder of the hit series The X-Files had it right fifteen years ago when he lamented “in a universe of infinite possibilities, we may find ourselves at the mercy of anyone or anything that cannot be programmed, categorised or easily referenced”. The financial system before 2008 was a victim of such narrow thinking.
Hendrik Hertzberg, in his Talk of the Town column “Preventive Measures” in this week’s The New Yorker, made the adroit analogy with the 2002 film Minority Report in our quest to categorise and predict acts of crime. Hertzberg points out that in reality this “turns out to be a good deal more difficult than investigating such an act once it occurs”. Indeed, such prediction methods are being implemented, just with somewhat less efficacy than in the Tom Cruise movie. The stop-and-frisk procedure currently employed by the New York Police Department points to a sustained effort to engage in preventative measures to reduce crime, effectively what Cruise and his myrmidons were doing, albeit without the help of psychic imagery as in the film. While the psychic “Pre-Cogs” turned out to occasionally disagree, the success rate with stop-and-frisk is even less attractive. “In the final months of 2012”, writes the New York Times, only 4% of stops resulted in an arrest. But what is this low figure telling us…?
Hertzberg also alludes to the dilemma of mountains of data, produced without concern for oversight or management; producing more just because it’s possible to produce it, rather than thinking about the implications:
“This fall, the National Security Agency, the largest and most opaque component of the counter-terrorism behemoth, will [open] a billion-dollar facility [analysing] intercepted telecommunications… each of the Utah Data Center’s two hundred (at most) professionals will be responsible for reviewing five hundred billion terabytes of information each year, the equivalent of twenty-three million years’ worth of Blu-ray DVDs… that’s a lot of overtime.”
The other problem this data poses – and increasingly this goes for many industries that are jumping on the Big Data bandwagon – is that intelligence departments and businesses alike are now technically able to put quantifiable targets and figures to what they want to achieve, without considering whether such targets are actually applicable. Police claim the low stop-to-arrest ratio implies that they are preventing crimes by stopping someone before they act. There is nothing to argue otherwise. The New York Times article alludes to the debate over what ratio or percentage the Supreme Court would be comfortable with under the tenet of “reasonable suspicion”. This leads down a dangerous path where we treat data as an answer to a question, rather than as supporting evidence to an answer.