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Ariel’s #ShareTheLoad campaign focuses on women’s sleep deprivation issues due to household work
MUMBAI: While most ads propagated the notion that women bear all the brunt of housework, Ariel India was the first to break that stereotype a few years ago. The successful #ShareTheLoad campaign revolved around the unequal division of domestic chores, urging men to take up more responsibility. Continuing its mission, the fourth edition of the campaign, #EqualSleep, addresses the issue of sleep deprivation due to excessive household work which affects 71 per cent of women.
Let’s rewind. In 2015, Ariel India raised a triggering question ‘Is laundry only a woman’s job?’ followed by ‘Dads Share the Load’ in 2016. This helped locate the root cause and the stigma of prejudice passed down from one generation to the next. In 2019, it started to drive action with sons urging parents to raise them like they have been raising their daughters, so that the future generation is more equal.
P&G India CMO and fabric care head for the Indian subcontinent Sharat Verma says that the aim of #EqualSleep is to highlight how women compromise their sleep, downtime, rest and personal time to provide her very best to the family and her career.
“Even within progressive households, where men have started to increase their involvement in domestic chores, the woman still takes the onus of getting everything done; the mental load is still only hers. When men don’t share the load, what ends up getting impacted is something as basic as sleep. Lack of sleep is, thus, almost an indicator of the inequality within the household. Hence, with this chapter, Ariel seeks to drive action, urging men to take the first step to #ShareTheLaundry and eventually, #ShareTheLoad for #EqualSleep,” he says.
An Ariel India survey found that from 79 per cent men in 2014 who thought laundry was only a woman’s job, the number has steadily declined to 41 per cent in 2019. However, even today, only 35 per cent of men contribute daily to household chores. In a survey, most men agree that washing clothes in a machine are the easiest chore for them to start taking over.
Verma went on to add that the campaign shifted from showing that men weren’t sharing the load to showing how this decision impacts women. Uneven division of household chores like laundry is coming in the way of women getting enough sleep and rest with at least one hour of sleep that these women give up every day, over seven days that accounts to almost an entire night’s sleep that is lost every week, due to the uneven distribution of domestic responsibility
The film, conceptualised by BBDO, is depicted from the eyes of a little girl devoid of any conditioning; she notices her mom is missing at night while she is asleep and continues to notice her running around doing multiple things, tired and sleepy. The father’s moment of realisation is also in a way driven by the daughter missing her mom at night.
BBDO India chairman Josy Paul said, “We started with ‘the condition' in 2015 – Is laundry only a woman’s job? In 2019 we focused on the younger generation, who if raised in a balanced manner, will grow up to be a generation of equals. This year, we make men realise the severe impact on their partners/ wives when they don’t share the load at home i.e., unequal sleep.”
With every passing year, both BBDO and Airel have the challenge of coming up with the next round of an impactful #ShareTheLoad campaign. How do they manage it? “When thinking of the next leg, we realign ourselves with the evolved cultural context of current times. Society today is not the same as it was two years ago. Similarly, family and couple dynamics are not the same. So, we have to root ourselves in the reality of today. As a creative team, when we observe society, we see laundry as one of those daily chores where the distribution of load is uneven. Laundry, here, is the face of the movement,” Paul concludes.
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Madison World to launch AI platform M BrAIn for media planning
Agency group invests about $1 million as it shifts to AI driven growth planning.
MUMBAI: If media planning once ran on spreadsheets and gut instinct, the next chapter may run on algorithms and curiosity. Madison World is preparing to roll out the first version of its proprietary artificial intelligence platform Madison M BrAIn in early April, as the independent agency group accelerates its transition toward AI driven planning and product led media services.
The platform, expected to involve an investment of around $1 million, is designed to reshape how the agency approaches strategy by combining internal knowledge, external data sources and advanced AI models into a single intelligence ecosystem.
According to Madison Media, OOH and Hiveminds partner and group CEO Ajit Varghese the initiative forms part of a larger structural rethink within the organisation. “Traditionally agencies built frameworks around media planning and allocation. We are redesigning that structure into what we call a Growth Planning System (GPS),” Varghese said.
The shift reflects a growing belief that effective media strategy must begin earlier in the decision making process. Instead of jumping directly to channel allocation, planners must first decode the market itself identifying consumer barriers, purchase triggers and the core challenges facing a brand.
Once those insights are mapped, agencies can build clearer growth agendas for clients and design media strategies that connect more closely with business outcomes.
To support that approach, Madison has built Madison M BrAIn as what it describes as a human AI cognitive ecosystem. Acting as a central intelligence hub, the platform aggregates proprietary insights alongside external data sources and large language models, enabling planners to access deeper market intelligence before building campaign strategies.
Varghese said one of the core objectives is to democratise knowledge across the organisation. “In the past, this level of understanding was largely available to senior leaders or experienced strategists. With Madison M BrAIn, even a junior planner should be able to access the same intelligence and approach clients with a far more informed perspective,” he said.
The agency has already implemented the new planning philosophy internally and completed three months of testing for the AI platform, with early trials showing encouraging results in terms of learning capability and system performance.
While the first version relied on global large language models, Madison is now developing its own proprietary Small Language Model (SLM) to serve as the core of the M BrAIn ecosystem.
“The SLM will be able to read global LLMs, but the LLMs cannot read the SLM,” Varghese explained. “That ensures all the intelligence we build remains within the Madison ecosystem and strengthens our proprietary knowledge base.”
The first version of Madison M BrAIn is expected to go live in early April, with a more refined version targeted by the end of June. Over time, the platform will integrate additional external data streams and APIs including consumer insight platforms, social listening tools and client datasets.
These integrations are expected to enhance the system’s learning capability and enable it to generate increasingly sophisticated strategic recommendations.
Although the platform is currently being deployed for internal use, Madison sees potential for it to evolve into a licensable product in the future.
“At the moment, our focus is to stabilise and strengthen M BrAIn internally. But over time there is potential for this to become a product that could be licensed externally,” Varghese said.
The AI platform is also part of a wider technology transformation underway at the agency group. Alongside M BrAIn, Madison is building a broader digital infrastructure called the Catalyst operating system, which aims to integrate operational processes, data and product platforms into a unified ecosystem.
This broader technology stack could require an additional $1 million to $1.5 million investment over time, though spending will be phased and reviewed regularly.
“We are evaluating progress every three months and prioritising the most critical capabilities first,” Varghese said.
Madison expects the full AI and operating ecosystem to be fully functional within 12 to 18 months, positioning the agency to combine human strategy with machine intelligence as the advertising industry enters its next data driven phase.
