Marketing today sits at the intersection of creativity, technology, and data. How do you see this relationship evolving as brands look to create more meaningful consumer experiences?
The relationship is shifting from a hierarchy to a genuine partnership, and that shift is overdue. For years, data was treated as the thing that validated creativity after the fact, or worse, as the thing that replaced it. Neither approach works. Data tells you where the opportunity is and whether what you built is actually landing. Creativity is what makes a brand worth remembering in the first place. Technology is just the connective tissue that lets the other two move faster and reach further.
What I think is genuinely evolving is the sequencing. The best work today starts with a data-informed understanding of the category, the buyer, and the entry points that matter, and then hands that understanding to creative people who can build something distinctive within those guardrails. We think of it the way an architect thinks about physics: you don’t get celebrated for knowing the load-bearing limits of a structure, but ignoring them gets you nowhere. As brands chase more meaningful experiences, the agencies that win will be the ones who can move fluidly between the analytical and the creative, rather than keeping them in separate departments that meet only at the brief and the post-campaign report.
Artificial Intelligence is transforming the marketing landscape at an unprecedented pace. Which AI-driven applications do you believe will have the most significant impact on brand strategy and customer engagement in the coming years?
The applications that will matter most are the unglamorous ones. Not AI-generated ad films, but AI embedded inside the actual workflow of how brands serve and understand customers.
We’re already building tools like this for clients. An on-the-go sales script generator for pharma and auto sales teams that answers technical product questions accurately and instantly is a small thing on paper, but it removes a massive amount of friction at the point of customer interaction. That’s where AI earns its place: not as a creative director, but as a force multiplier for judgment that already exists inside an organisation. On the strategy side, I expect AI to get genuinely good at synthesising large bodies of consumer and category data into usable insight, faster than any human team could. That changes how quickly brands can test a hypothesis about what’s driving growth. What AI won’t do well, at least not for a long while, is decide which insight is worth building a brand around. That’s still a human call, and a contrarian one at that, because the obvious insight is rarely the one that creates real differentiation.
You have led several impactful campaigns, including award-winning initiatives such as Karlo Shaadi Ki Poori Tayaari and Stand Up for Life Insurance. Could you share one campaign that presented significant strategic or execution challenges, and how your team overcame them to deliver successful outcomes?
Stand Up for Life Insurance is a good example because the brief itself was the hard part before a single script was written. Life insurance, as a category, is something people actively avoid thinking about. Every instinct in the category pushes brands toward solemn, emotionally heavy advertising, because the subject matter feels serious. But solemn advertising in a category nobody wants to engage with tends to get ignored entirely. That was the real strategic problem: how do you get people to actually pay attention to a message about mortality and financial protection.
The answer we landed on was counterintuitive and took real conviction to execute: use comedy. We built the campaign around stand-up comedians, because humour is one of the few formats that earns genuine attention without feeling manipulative, and it let us talk about a hard topic without the audience instinctively switching off. The execution challenge was making sure the comedy never undercut the seriousness of the message; you can’t make insurance feel trivial just because you’re making it entertaining. That balance took several rounds of script tightening and a lot of trust between the creative team and the client to hold the line on a format that felt risky for the category. It worked because the distinctiveness of the approach got the brand noticed in a sea of forgettable, sombre insurance advertising, while the message itself stayed intact.
With consumers interacting across multiple digital and physical touchpoints, how can brands build a truly integrated omnichannel experience while maintaining consistency and relevance?
The starting point has to be distinctive brand assets that travel unchanged across every touchpoint: the same visual codes, the same tone of voice, the same characters or colours, whether the consumer encounters you on Instagram, in a retail store, on a call centre script, or on a billboard. Consistency isn’t about repeating the same message everywhere. It’s about making sure the brand is recognisable everywhere, even when the message and format are tailored to the medium.
Relevance comes from understanding that different touchpoints serve different jobs in the consumer’s journey, not from chasing personalisation for its own sake. A touchpoint at the discovery stage should build memory and distinctiveness. A touchpoint at the purchase stage should reduce friction. A touchpoint at the post-purchase stage should reinforce that the choice was a good one. Most brands get this wrong by treating every channel like a sales channel, which erodes the brand-building work happening elsewhere. The agencies and brands that get omnichannel right are the ones willing to let some touchpoints just build memory, with no expectation of an immediate transaction.
As emerging technologies such as AI, automation, and immersive experiences continue to reshape the industry, what key trends do you believe marketers should prepare for to stay competitive in the future?
The trend I’d flag first is the growing gap between brands that treat new technology as a strategy and brands that treat it as a tool. AI, automation, and immersive formats will all become commoditised fairly quickly. What won’t commoditise is judgment: knowing which technology actually serves your brand’s growth and which is just industry noise dressed up as urgency.
The second trend is the slow but real return of evidence-based thinking. As measurement gets more sophisticated, more marketers will realise that short-term, dashboard-driven decision-making has been quietly hollowing out long-term brand value, and the smarter operators are already course-correcting toward principles like reach, distinctiveness, and mental availability. The third is that independent agencies, not networks, will increasingly lead on technological adoption, simply because they can move faster without layers of legacy process. Marketers who want to stay competitive should spend less energy chasing every new platform and more energy building the underlying capability to evaluate what’s actually worth chasing.
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