Brands buying into predictive commerce for that extra spark this festive season

The Indian festive season has always been a frenzy of fireworks and full-page ads, but 2025 is shaping up differently. This time it is not just about the size of the wallet, it is about how those rupees are being deployed.

By the latest industry estimates, festive advertising will clock in at nearly ₹55,000 to ₹60,000 crore, with an additional ₹5,400 crore flowing in specifically for the Dussehra to Diwali window. Digital continues to be the growth engine, expected to rise by 25 per cent year on year, with e-commerce players alone raising their spends by 20 to 30 per cent. Within that surge, predictive commerce and analytics are no longer the shiny new toys, they are becoming the operating system behind festive budgets.

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Predictive commerce is advertising that pretends to know the future, except it is powered by data rather than crystal balls or garrulous spirits. The idea is to forecast demand before it shows up in search bars, to shift money earlier, and to choreograph campaigns around intent signals.

For Varun Mohan of MiQ, that makes the difference between scrambling at the peak and owning the ramp-up. He points to MiQ’s Shopper Insights 2025 report, which found that 43 per cent of shoppers intend to spend more than ₹20,000 this season.

“That’s confidence-led consumption, and it needs to be targeted early. Predictive systems let us time programmatic video and shoppable formats weeks before Diwali, when CPMs are still reasonable,” says Mohan, adding, “Instead of joining the herd at the peak and paying through the nose, brands can identify micro-cohorts early and nurture them until purchase.”

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Saloni Jain, Cofounder, Plus91Labs says that the industry is seeing a big shift in festive strategy where brands start with who the customer is instead of where the ad will run. For instance, Nykaa uses AI and CRM data to segment festive shoppers into different categories.

"The festive campaigns allocate spends accordingly, as loyal buyers may get hyper-personalised notifications via email, app push, or WhatsApp, while first-time shoppers are targeted through programmatic and influencer-led discovery ads. Next, the predictive commerce tools can flag high-potential new shoppers based on browsing and buying patterns, so brands allocate more spend on programmatic or CTV to reach them," she says, noting the result is not a uniform media mix, but a data-driven allocation that shifts money towards the audiences most likely to convert, across whichever channel they are most active.

Others see it in simpler terms. Russhabh R Thakkar, founder and CEO of Frodoh, compares predictive commerce to a smarter shopkeeper. “Like the mithaiwala who knows kaju katli will run out before gulab jamun, predictive lets you stock up the right media before the rush,” he says. He highlights hyperlocal opportunities: if gifting queries spike in Lucknow before Pune, budgets can be shifted instantly. It may not be magic, but it stretches festive rupees further by catching intent on the upswing rather than chasing it downhill.

Predictive tools also promise discipline in what is usually the most chaotic part of the year. Jacob Joseph, VP Data Science at CleverTap, argues that festive advertising is where budgets face their hardest stress test.

Read more on festive advertising

“Everybody is competing for the same eyeballs and auction prices shoot up. Predictive systems bring sanity by shifting money into environments rich in first-party data and by phasing campaigns earlier so algorithms can seed intent before auctions peak,” observes Joseph.

He warns, though, that efficiency numbers can be deceptive, cautioning, “If predictive campaigns are only retargeting or cannibalising branded search, they may show great ROAS but no true lift. The value comes when predictive is fed richer data, given time to learn, and measured with proper incrementality tests.”

Still, the limitations are real. CPMs can spike by 50 to 70 per cent during the peak because everyone is playing from similar playbooks. ROI gains are often about audience quality rather than cheaper reach. And attribution is a persistent headache, with predictive campaigns influencing conversions that dashboards rarely capture. The risk is that marketers dismiss predictive when they cannot measure it neatly, even if it is doing the job.

The numbers, however, keep pointing only one way. Festive spends are rising in double digits, digital is surging 25 per cent, e-commerce budgets are swelling 30 per cent, and predictive commerce is already absorbing a quarter of FMCG digital allocations. CTV and influencers are taking up to 35 per cent of digital budgets, while print continues to recede into prestige buys.

Luxury brands are seeing the benefits too. Tabby Bhatia, founder of Brune & Bareskin, sells handcrafted shoes and accessories, items which are rarely bought on impulse. For him, predictive targeting is not just about shifting money earlier but about sharpening the aim.

“Our customers plan and compare, so they don’t just click and buy. Predictive helps us anticipate demand, allocate budgets better, and retarget loyalists before search prices explode. We can identify those who bought bespoke boots last Diwali and reach them again at the right moment this year. The outcome is smarter spend, better ROI, and less wastage,” points out Bhatia.

Shradha Agarwal, Co-founder and Global CEO of Grapes Worldwide, calls predictive commerce the end of guesswork. “Festive campaigns today are no longer built on instinct. These tools are helping brands gauge intent more accurately and shape budgets with confidence. The real strength is in moving earlier in the consumer journey. If you win preference in September, you’re not fighting as hard in October. That’s how predictive makes festive money work harder.”

For Gopa Menon, Co-founder and COO of Theblurr, this is less a trend than a structural reallocation. FMCG brands, he says, are now diverting about a quarter of their digital budgets into predictive platforms that can identify micro-moments and consumption triggers. E-commerce players are layering predictive analytics into dynamic pricing and recommendation engines, moving money away from pure awareness into conversion optimization.

Brands using these strategies are seeing CPMs drop by 30 to 40 per cent when targeting predicted audiences before the peak, and conversion rates climb by 15 to 25 per cent. Many are adopting what he calls a predictive sandwich, front-loading around 60 percent of spend three to four weeks before Diwali, keeping 25 percent for the peak, and reserving 15 per cent for retargeting afterwards.

This orchestration matters because the calendar is less forgiving. With Diwali falling earlier this year, the real build-up runs from late September to mid-October, leaving November and December looking like awkward afterthoughts. Predictive systems let marketers smooth that curve rather than blowing everything in one burst.

For an industry long addicted to last-minute fireworks, predictive commerce is redistributing the bet across six to eight weeks and forcing a cultural reset in how campaigns are planned. The rupees are still flowing, but in 2025, smart money is what’s flowing earlier, more quietly, and with far more intent.