AI is making India’s festive-season marketing more adaptive, measurable and relevant, shortening the distance between a signal and a decision.
The biggest shift is that festive campaigns no longer behave like fixed plans. They used to be built, launched and reviewed in a linear manner.
Now, the most effective campaigns learn and adapt in real time: creative approaches are rotated, budgets are adjusted, and audiences become clearer as each day’s performance data guides the next day’s spending, rather than waiting for a post-mortem analysis weeks after Diwali or any other festival.
That changes what marketers fundamentally need from AI. Not another dashboard or automation layer, but something that helps make better calls while the season is still unfolding.
This matters because the festive journey itself has fragmented. A purchase might start with a creator’s recommendation, be compared across three marketplace tabs, gain momentum in a mobile game ad, be reinforced by a connected TV spot at home, and close out in an app or a physical store two days later.
Consumers are also increasingly running their own AI-assisted research, asking a chatbot for gift ideas, and comparing prices before a brand even knows they’re in-market. The job is to catch intent while it’s still active.
This is where AI earns its place. First, by reading intent rather than just demographics, platforms like AnyAI insights now pull behavioural, contextual, device and location signals together with first-party data to build cohorts around what people are actually likely to do, explore, install and buy, rather than who they statistically resemble.
Creative is the second lever, and usually the harder one. India’s festive season isn’t one campaign for one audience; a line that lands in a city can fall flat in another and needs re-framing entirely for a new one—different language, different cultural cues, and sometimes a different product hook altogether.
AI can generate and test creative variants across those markets fast enough to keep pace. But this is exactly where human judgement can’t be automated away: personalisation without cultural fluency is just automation at scale, and it shows.
Attention economics are shifting too. More impressions during the festive rush don’t automatically buy more impact. If anything, saturation makes people tune out faster. Mobile gaming makes the alternative case well; formats like rewarded video and playables don’t interrupt the user experience.
A brand shows up inside something a player already chose to engage with, and AI’s role there is narrower and more useful than people assume: it’s deciding which audiences respond to that format and when not to manufacture the engagement itself.
Media optimisation is where the value is easiest to point to. Festive campaigns throw off new signals every hour, and a predictive DSP like AnyAI DSP adjusting bids, placements and budget allocation in real time will simply outperform a plan optimised once at launch and left alone.
The gain isn’t speed for its own sake; it’s a media plan that gets smarter with each decision instead of repeating the same one.
India is what makes this hard and interesting at once. Consumers move across languages, income bands and devices faster than most markets, and the same festival calendar carries different meaning region to region, different products, different timing and different reasons to buy.
AI can detect the pattern in that; it can’t tell you why a particular message resonates on Karva Chauth versus Onam. That gap is still human work.
Creators, mobile marketing, commerce and live selling aren’t separate channels; they’re one funnel now, and AI can read the struggles and value cues across it, turning them into pricing, premiumisation and messaging for the campaigns that follow. The job of deciding what’s authentic and what actually deserves someone’s attention still belongs to people.
(Siddharth Kelkar is the Managing Director of India/MENA and Performance Business at AnyMind Group. He is a seasoned media and marketing executive with over 20 years of experience spanning digital, print, television, and mobile advertising.)
