MAM
Tata Motors, dentsu Play targets premium subscribing OTT audiences
NEW DELHI: The rising trend of cord cutters and streaming surpassing cables, in many economies, has brought with it a new challenge for the advertising sector – that of reaching the audience behind the OTT paywall.
With the changing audience behavior and a dramatic increment in over-the-top (OTT) subscriptions, the segment has emerged as one of the most engaging format for digital content consumption during the lockdown. OTT is no longer a niche but a mass market.
In an effort to plan for activating OTT, audiences from premium platforms such as Netflix, dentsu Play partnered with WATConsult on Tata Motors. It has pioneered a unique solution to target premium, behind the paywall OTT audiences on platforms outside of the OTT through industry first integrations using first-party and second-party data partnerships.
Earlier this year, in January 2020, Tata Motors launched its electric vehicle, ‘Nexon EV’, pioneering the EV segment in India. As a result, dentsu Programmatic’s unique solution delivered an astounding 3X higher CTR than regular display campaigns. It also achieved an 81 per cent higher qualified lead ratio and a deramatic improvement in leads. The ability to enrich OTT audiences beyond their native platforms has resulted in a dramatic success for the brand and proposition to the Industry.
Tata Motors head – sales, marketing and customer care, electric vehicle business unit Ramesh Dorairajan said, “The great reset has highlighted several audience trends that will help us enhance our overall brand reach. The increase in OTT content consumption has transformed the way people consume content. This unique data-driven approach from dentsu Programmatic has opened up additional avenues for us to interact, particularly with the audience behind the paywall, while creating a phenomenal impact on our campaign performance as we pioneer an industry-first approach.”
“With our industry first partnerships and integrations enabling insights from platforms such as Netflix, Amazon Prime Video, Zee5 and large players in the sector, coupled with our proprietary technology, dentsu Programmatic is proud to have unearthed a unique way to drive business success for clients wishing to target OTT audiences. Using Machine Learning at its core, coupled with intelligence from platforms such as Facebook and Google, we aspire to deliver many such industry leading solutions to common client challenges,” added dentsu international CEO, dentsu Programmatic and chief data officer (south Asia) Gautam Mehra
WATConsult CEO Heeru Dingra said, “As OTT platforms grow and evolve at an exponential rate, they seem to emerge as one of the key focus areas for brands as well as marketers. Therefore, dentsu Programmatic’s tool to effectively tap those audiences has efficiently helped us in actioning a campaign for our brand Tata Nexon EV. From targeting the right set of audiences to creating awareness about the brand and attaining the right amount of consideration, it delivered some remarkable results for the brand.”
Digital
The creative cull: how AI is coming for the marketers, ad men and researchers
Robots aren’t taking over yet, but the writing may already be on the wall for some of the US’ most glamorous white-collar jobs.
CALIFORNIA: The robots are not, it turns out, storming the factory floor. They are sitting quietly at a MacBook in a Soho agency, rewriting your copy, summarising your focus groups and generating your mood boards, and nobody has been sacked. Yet.
A new report from Anthropic, the AI company behind the Claude chatbot, offers the most rigorous look to date at what artificial intelligence is actually doing to jobs, as opposed to what doomsayers and boosters claim it might. The verdict from economists Maxim Massenkoff and Peter McCrory is nuanced but pointed: there is no mass unemployment so far, but some sectors have good reason to be nervous. Marketing, market research and the arts are squarely in the crosshairs.
The researchers introduce a new measure called “observed exposure.” It goes beyond theoretical speculation about what AI could do and instead tracks what it is already doing, drawing on real Claude usage data. The approach is clever. They weight automated uses, where the machine performs the job entirely, more heavily than augmentative ones, where it merely assists. They then map this onto roughly 800 occupations, weighted by how much time workers actually spend on each task. For now the target user base has been the US market, but the findings offer a glimpse of what may be happening in other countries as well.
The results are sobering for the creative and analytical classes. Market research analysts and marketing specialists clock in at 64.8 per cent observed exposure, meaning nearly two-thirds of their daily tasks are already being performed, at least in part, by AI in professional settings. The leading automated task is preparing reports, illustrating data graphically and translating complex findings into written text. In other words, this is the kind of work junior analysts spend most of their days doing.
Arts and media fare little better. The sector shows meaningful theoretical exposure, as large language models can in principle handle the lion’s share of tasks, though observed usage still lags behind capability. The gap is narrowing, however, and the direction of travel is unambiguous.
Here is the sting in the tail. The workers most exposed to AI disruption are not, as popular mythology suggests, low-paid drudges. They are older, better educated, more likely to be women and considerably better paid, earning 47 per cent more per hour on average than their least-exposed counterparts. Graduate degree holders are nearly four times as prevalent in the high-exposure group. The creative professional, the senior analyst and the market researcher with an MBA are precisely the people who should be paying attention.
“We’re not talking about the checkout operator,” the paper implies. “We’re talking about the account planner.”
The most alarming signal in the data concerns not those already in jobs, but those trying to enter them. Among workers aged 22 to 25, hiring into highly exposed occupations has slowed measurably since the release of ChatGPT in late 2022. There has been a 14 per cent drop in the job-finding rate, a figure the authors describe as “just barely statistically significant.” Young people are, in effect, finding the door to exposed professions quietly closing. Whether they are staying in education, taking different jobs or simply giving up is not yet clear.
For a bright graduate eyeing a career in market research or media production, this is not merely an academic data point. It is a flashing amber light.
The paper is careful about what it does not find. Unemployment among highly exposed workers has not risen in any statistically meaningful way since the ChatGPT era began. The apocalypse has not arrived. Even in the Computer and Math category, the most theoretically exposed of all, Claude currently covers just 33 per cent of tasks in practice. The gap between what AI can do and what it actually does at scale in professional workflows remains vast.
Think of it less like a tsunami, the authors suggest, and more like a slowly rising tide. The internet did not destroy journalism overnight. It took 20 years and the collapse of a generation of classified advertising revenue. The China trade shock also took decades to fully register in unemployment statistics, and economists are still debating the numbers.
What does this mean for the luvvies, the admen and the pollsters? The honest answer is: not much yet, but watch this space. AI is already doing the grunt work, including data summaries, draft press releases and boilerplate creative briefs. The question is whether it stops there or continues climbing the value chain.
The authors are building a framework to track exactly that and promise to update it as new data arrives. If the tide does come in, they want to see it coming before the sandcastles are already gone.
For now, the creative industries can breathe, but perhaps not too deeply. The machine is not at the door. It is already at the desk.
