MAM
Nearly 80% of urban consumers use ecomm portals for online product research: GroupM report
Mumbai: WPP’s GroupM and Wunderman Thompson in partnership with Amazon Ads launched the ‘Content Strategies for the New-age Digital Consumer’ playbook. According to the report, nearly 80 percent of urban internet users in India use ecommerce portals for online product research, and 25 percent of them visit ecommerce portals for product research even for their offline purchases. 350 million Indian consumers are expected to make a purchase online in 2025, as per an MMA-GroupM report, which is a steep jump from 150 million online buyers in 2020.
The playbook seeks to be a complete guide for building content/ creative communication strategies for the touchpoints in ecommerce networks, with the aim to help marketers and agency professionals in making efficient decisions around revamping their online content strategies. It covers key reasons why brands should have a separate communication strategy for ecommerce touchpoints. It also touches on ideas around content and engagement strategies to efficiently drive visibility and recall with millions of ‘intent’ consumers.
GroupM South Asia president – growth and transformation Tushar Vyas said, “Brands have aimed to reshape their marketing strategies considering the consumer behaviour transformation that has taken place in the last two years. Before digital started dominating our lives, consumers preferred going to stores to make their purchases; but today, be it any commodity, it’s fascinating to see consumers doing thorough research online and then buying things online or going to stores. Digital Consumers are increasingly spending more time on emerging digital platforms and hence there is a need for a separate communication approach, which is why we’ve come up with this playbook with Amazon Ads and Wunderman Thompson to help marketers build stronger consumer connections.”
The pandemic saw several long-term lifestyle and consumption changes in the last two years. All these changes, adaptations, and revelations took place with the massive rise of digital convenience. Be it researching, purchasing products or buying services like insurance, digital platforms have now become crucial partners. These ‘Digital consumers’ are more informed, participative, well-employed and more affluent than the average internet users in India. They have diverse interests and an evolved lifestyle and they rely on ecommerce networks for their product research and shopping needs.
Wunderman Thompson South Asia chief digital officer Manoj Mansukhani said, “We saw an exponential growth of consumers moving to online shopping during Covid-19. The trend only continues to grow as more customers are coming online to shop from Tier 2 and Tier 3 cities. With marketplaces like Amazon becoming the first port of call for product searches, brands need to develop a separate content strategy to help engage with customers on these platforms. The playbook with Amazon Ads and GroupM showcases ideas for brands to help build the right communication strategy with consumers on these platforms.”
Amazon Ads India director-ad sales Vijay Iyer commented, “Digital Channels are now an inseparable part of our lives and have forever changed why, how, what and where we buy. Ecommerce marketplaces are playing a crucial role in not just aiding, but shaping the brand and product discovery. Marketers have the unique opportunity to build connections with customers through an immersive content experience rather than restricting themselves to “advertising real estate”. This playbook will help marketers and agency professionals get ideas for building customized content marketing strategies for ecommerce touchpoints.”
The playbook leverages audience intelligence resources to help understand a brand’s TG better through product research/shopping based deterministic affinity signals. It also covers content marketing levers for building integrated experiences and establishes retail readiness with optimal detail pages and innovates with immersive and integrated experiences through Stores.
MAM
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.
