Digital Marketing

5 AI-Powered Festive Marketing Strategies Brands Should Use in 2026

By lilee shah
October 26, 2026

It is 11 pm, two days before Diwali, and you are still hunting for a gift for a friend who “has everything”. Six tabs are open, three filters are applied, and the price range refuses to behave. If that sounds familiar, you have just described the average festive shopper, and the brands that lose that shopper to the back button. The festive season is one of the biggest growth windows for brands in India, and one of the hardest to stand out in. Consumers are actively searching, comparing, gifting and spending, but they are also navigating an overload of offers, ads and near-identical festive messaging. The challenge is no longer simply getting in front of them. It is knowing what to say, when to say it and how to make it relevant enough to influence the next action. That is where AI in marketing can create a real advantage. Used well, it can help brands identify intent faster, deliver AI personalization at scale, sharpen media decisions across digital marketing channels, produce relevant creative variations and respond to changing demand in real time, without reducing festive marketing to automated content generation. Here are five AI-powered festive marketing strategies brands can use in 2026 to turn seasonal attention into stronger engagement, better customer experiences and more efficient growth, each building on the one before.

1. Start with the search box: simplify discovery with conversational AI

Traditional product filters make gift search arduous because they assume the shopper already knows what they want. Most don’t. They know who the gift is for, roughly what they can spend and when it has to arrive. That is why the biggest festive sales now launch with an assistant attached. Flipkart introduced its ChatGPT-powered assistant Flippi just ahead of Big Billion Days in 2023, aimed at buyers who find it hard to decide, and Myntra released Maya in 2023, before its Big Fashion Festival, to walk shoppers from a broad query to a narrow shortlist, including event-specific outfit advice and gift ideas. The lesson for other brands is to make the assistant behave like a good shop assistant. Have it open by asking who the shopper is buying for, then their budget and delivery deadline, before it shows a single product. Keep your catalogue as the source of truth so it never suggests something that is out of stock or can’t arrive before the festival. Then end every answer with a clear path to purchase, such as a product card with an add-to-cart button, not another question. On tooling, a large language model such as OpenAI’s GPT models (the engine behind Flippi) is the usual starting point, and Myntra built its assistant on Microsoft Azure. Connect it to your product feed through a retrieval layer so every recommendation is grounded in real inventory. Brands without an assistant of their own can still show up in these conversations. Gift planning increasingly starts inside AI chats, and ChatGPT Ads, now open to Indian advertisers through self-serve buying, lets a brand appear, clearly labelled, when a shopper asks for gift ideas. ARM Worldwide has rolled out ChatGPT Ads as one of its services, helping brands reach shoppers at the moment they are deciding what to buy. Ace the conversational advertising game with ARM. A smooth conversation only pays off if the right shoppers get to have it, which raises the question of who to build for first.

2. Aim AI recommendations at millennials first

Not every audience is equally ready for AI-led shopping. According to InMobi Advertising’s The Marketer’s Guide to India’s Festive Season 2026, 82% of millennials expressed interest in AI-based recommendations for festive looks and products, compared with 71% of Gen Z consumers. That lead makes millennials the natural launch audience, and the reasons go beyond the numbers. They want it most, and they need it most. In the same festive week, a millennial is often buying gifts for the family, putting together a festive wardrobe and still working, so an assistant that saves time lands harder with them than with anyone else. The early evidence from Diwali 2025 shows that assistants deliver exactly what a time-pressed festive shopper wants. Industry data reported by Social Samosa showed 10 million Amazon India users trying its Rufus shopping assistant, while Myntra’s Maya made users three times more likely to buy, a sign that shoppers who get help deciding go on to purchase. Google is building for the same crowded to-do list. It launched AI Mode on Search in 2025 with Bollywood-themed festive films built around layered questions such as home decoration and last-minute gifts, which is the juggle a millennial household faces in Diwali week. Apply the same idea for this audience. Organise suggestions around Diwali puja, Karwa Chauth or Bhai Dooj rather than around product categories, and make discovery interactive with style quizzes or “complete the look” flows that take a shopper from “what do I wear and give?” to a shortlist in minutes. Make every suggestion shoppable in one tap, because inspiration without a route to the basket is a missed sale. Then tailor the journey for each group with a customer engagement platform such as CleverTap or MoEngage, so millennials get the time-saving, occasion-led experience built around their festive load, and Gen Z follows with the same foundation adapted to how it shops. Build for millennials first. Once shoppers know what they want, the next question is where they will buy it, and increasingly that is a quick-commerce app.

3. Treat quick commerce as a media channel, not just delivery

Quick-commerce platforms have a role to play in festive marketing beyond fulfilling last-minute orders. Their search results, sponsored product placements, category pages and in-app promotions give brands access to consumers who are already looking for products, which makes them a media channel for reaching high-intent shoppers close to the point of purchase. The 2025 festive season backs this up on three fronts: where shoppers are going, where advertisers are spending and what brands can do with the format. Start with the shoppers. Unicommerce data covering over 150 million orders recorded 120% growth in quick-commerce volumes during the 25-day festive period, compared with 24% growth in e-commerce overall, so the high-intent audience is growing far faster than the wider market. Advertisers have followed it: industry estimates put Blinkit, Zepto and Swiggy Instamart’s combined ad revenue at ₹3,000–3,500 crore for the 2025 festive season, with premium placement rates rising 40–50%. And the format is moving beyond product listings: Zepto and Haldiram’s Mithai Wars 2025 turned sweets into election candidates and delivered mystery mithai to customers, showing the channel can build a brand as well as close a sale. This positions quick-commerce platforms as both shopping destinations and spaces for festive brand engagement. AI advertising can help brands manage ad placements on quick-commerce apps, but its role here is primarily automated bidding. Tools within Blinkit, Zepto and Swiggy Instamart’s ad consoles, or retail-media platforms such as HectorAI, can adjust bids based on campaign performance. Brands can use this to prioritise high-intent searches, such as “puja kits” and “gift boxes,” and direct spend towards placements that convert, while keeping local inventory in mind to avoid paying for ads on products that are unavailable. A sponsored slot gets the shopper to your product. The next job is to give them enough confidence to buy it.

4. Build immersive AI experiences, not generic chatbots

Shoppers want AI that helps them decide. In InMobi’s survey, four in five consumers want an AI shopping assistant, 89% want smart search suggestions, and 81% want virtual try-ons. Rather than launching a generic chatbot, marketers can build experiences around product discovery, comparison, visualisation and gifting. Festive brands have already shown what this can look like. In 2023, Coca-Cola India let people design personalised Diwali wish cards with generative AI through its Diwali Wali Magic campaign. Swiggy built an in-app experience during its Diwali campaign in 2025, where users lit virtual diyas and shared them by tapping phones together, and one million were lit within five hours of launch. On the commerce side, fashion brand The Bear House credits its AI-powered virtual try-on, cited in InMobi’s festive report, with halving website bounce rates and lifting conversions fivefold. Pair try-on with category-specific gift finders, because a skincare finder should ask different questions from one for electronics. Ready-made options include ModiFace, the tool Nykaa uses for virtual makeup try-on, and Perfect Corp, while a generative model such as Google Gemini can power personalised festive creative. Pilot in a single category before you scale it across the catalogue. But most festive shopping still ends in a physical place, and that is where the last strategy comes in.

5. Bridge the shop floor and the screen with physical-to-AI activations

Festive shopping is still a physical ritual: crowded markets, store displays, pop-ups and mall events are where many shoppers first meet a brand. The opportunity is to link those moments to AI, so interest created offline doesn’t vanish when the shopper walks away. Coca-Cola India’s 2025 Festicons campaign did exactly this: scanning a QR code on a limited-edition Utsav Pack opened Google Gemini, where people built a personalised festive avatar and shared it as a digital sticker. Ferrero Rocher hid QR codes inside each chocolate piece to unlock rewards, and JBL put interactive QR wrappers on connected-TV screens in ten cities so viewers could scan and buy earbuds from the sofa; both reported by Social Samosa. Cadbury Celebrations pioneered the local version. Diwali accounts for more than 45% of its annual sales, so in 2021 the brand used machine learning, working with Rephrase.ai and DeltaX, to recreate Shah Rukh Khan’s face and voice and have him name local stores near each viewer in its ads. Small retailers then made around 130,000 versions of their own, and household chocolate penetration hit a three-year high of 9.4%. To borrow the idea, start by putting a QR code on festive packs, displays and event stands that opens your assistant, try-on or a generative tool such as Gemini on the shopper’s phone, and give shoppers a reason to scan, such as a reward or a personalised creation. Map your physical points, such as stores, dealers and pop-ups, to pin codes, so an AI-generated ad or message can point each shopper to the nearest one. Make sure what a shopper explores in the store or on a pack is remembered online, so they can finish the purchase later. Then measure the whole journey, from the offline touchpoint to the AI conversation to the sale, so you know which activations earn their place next festive season.

AI Without Losing the Human Layer

Everything above works only if the shopper still feels a person is on the other side. Diwali is deeply coded with emotion, gifting and reunion, and festive innovation has to work inside those codes: audiences may notice the novelty, but they won’t embrace it if their hearts aren’t on board. Some of the warmest festive work in recent seasons was low-tech. Zepto’s soan papdi comeback and Julie’s biscuits film about a young woman and her cool aunt won people over with humour and a recognisable family moment, not an algorithm. That doesn’t mean avoiding AI, only applying it with care, which is where the future of marketing is heading. ARM Worldwide’s AI lab, AIZEN, shows what the balance looks like in practice. Its festive film for Home Credit, Khushiyon Ka Aagman, recorded a 2.8% engagement-to-reach ratio, with views making up about 61.2% of total reach across platforms, while AI-assisted production helped cut costs compared with a conventional shoot. Human review stayed central throughout, protecting brand consistency and making sure the language and cultural references were right. The result shows that AI can support both engagement and production efficiency without compromising the creative idea. So let AI do the heavy lifting and keep people where judgement matters. Let it handle search, recommendations, bidding and personalisation, but have a human review every piece of AI-generated festive content for cultural accuracy. Give shoppers an easy handoff to a real person for complicated or sensitive gifting questions, and keep local retailers and store teams in the story, as Cadbury did by making small shop owners the stars. Measure warmth as well as clicks, through reviews, replies and shares. Do that, and the friend who has everything still gets the right gift, found in minutes. The part that makes it a festive gift, the thought behind it, stays human. Want to build a festive campaign that balances AI efficiency with human warmth? Collaborate with ARM Worldwide to plan, create and run your next festive campaign.