Commerce media boom is minting new metrics. But who is counting what matters?
As retail media spend races toward Rs 30,360 cr in 2026, brands are discovering that the most dangerous number in advertising is not the one you cannot measure — it is the one you are measuring wrong
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Published: May 27, 2026 9:47 AM | 9 min read
- India's commerce media sector is experiencing rapid growth, with retail media spending projected to reach Rs 30,360 crore by 2026, driven by the convergence of retail media, quick commerce, and social commerce.
- Despite the optimism, concerns are emerging regarding the accountability of the advertising ecosystem, as brands shift budgets from long-term brand-building to conversion-focused strategies without robust measurement frameworks.
- The industry faces a measurement crisis, with multiple fragmented systems leading to potential misallocation of budgets, as platforms report performance using inconsistent methodologies.
- Experts advocate for a balanced approach that combines performance marketing with sustained brand investment, emphasizing the need for standardized measurement to accurately assess the impact of commerce media on long-term brand equity.
There is a particular kind of optimism that grips an industry mid-gold rush. Everyone is moving fast, numbers are climbing, and the story writes itself. India's commerce media boom has that energy right now. Retail media, quick commerce advertising, and social commerce are collectively the fastest-growing segment in the country's media economy. Brands from legacy FMCG giants to freshly minted D2C challengers are reallocating budgets at a pace that would have seemed improbable just three years ago. The promise is straightforward. Spend where consumers buy, measure what they do, and the results will follow.
But underneath that optimism, a more uncomfortable question is surfacing in boardrooms and agency planning meetings across the country. Is India's commerce media boom genuinely building a more accountable advertising ecosystem, or is it simply transferring power from traditional media owners to closed-platform commerce giants while leaving the industry's most fundamental problems like fragmented measurement, attribution bias, and the slow erosion of long-term brand equity, entirely unresolved?
The answer, as the industry is beginning to discover, is more complicated than the growth numbers suggest.
The Rs 30,360 Crore Question
The scale of the opportunity is not in dispute. According to the latest WPP TYNY report, the retail media spend in India is projected to reach Rs 30,360 crore in 2026. This reflects a 24.2 percent growth rate for commerce-led advertising, driven by the convergence of retail media, quick commerce, and social commerce. Brands are responding logically to an environment where discovery, consideration, and purchase are collapsing into a single digital interaction. If a consumer can go from encountering a product to buying it in under five minutes on a quick commerce platform, the argument for being present at that precise moment is commercially obvious.
The problem is that this commercial logic is masking a structural fragility. Brands are progressively reallocating budgets away from long-term brand-building initiatives toward conversion-focused investments across D2C, ecommerce, and quick-commerce channels. The driving force behind this reallocation is not simply consumer behaviour but the absence of robust unified measurement and attribution frameworks. Most marketers continue to rely on fragmented platform-specific metrics that optimise for immediate outcomes but fail to provide a holistic understanding of incremental growth, cross-channel impact, or long-term brand equity creation. The platforms are growing faster than the tools needed to evaluate them honestly.
What makes this particularly consequential is the nature of the platforms absorbing these budgets. Amazon and Flipkart operate mature, search-and-intent-led advertising stacks built over years of consumer data. Blinkit, Zepto, and Swiggy Instamart are constructing their ad infrastructure in real time, optimised around impulse and proximity rather than deliberate search. These are fundamentally different consumer contexts, yet brands routinely compare performance metrics across them as though they were equivalent. As Anupam Asthana, Executive Director and Creative Assessment Lead at Ipsos India, puts it, "Comparing a ROAS figure from a marketplace to a conversion metric on a quick commerce platform is like comparing apples to mangoes."
When Platforms Grade Their Own Homework
The measurement crisis at the heart of India's commerce media boom is not new, but it is intensifying. Indian marketers currently navigate at least six distinct measurement systems: BARC for television, walled gardens operated by Meta and Google, fragmented OTT and CTV currencies, unstandardized influencer metrics, retail media dashboards, and quick commerce attribution tools. Each system operates according to its own logic, reporting methodology, and definition of success.
Only 32 percent of marketers globally currently measure traditional and digital media holistically, according to Nielsen's 2025 Annual Marketing Report. In India, where the platform ecosystem is more fragmented and the commerce media segment is growing faster, the challenge is arguably more acute. The result is not merely operational inconvenience but systematic capital misallocation. When every platform reports its own performance using its own methodology, budgets naturally flow toward environments that are easiest to report on, rather than those delivering the strongest business outcomes. Walled gardens with stronger first-party data and reporting infrastructure become easier to justify in media plans, regardless of whether they are actually delivering superior outcomes for the brand.
Hemant Kewalya, Executive Director and Head of Sales at Nielsen India, articulates the risk plainly. "The biggest risk is not simply inefficiency, but misallocation. When platforms measure themselves differently, budgets tend to flow toward environments that are easiest to report on rather than necessarily those delivering the strongest business outcomes." The solution Asthana advocates involves independent, off-platform modelling using methodologies like Marketing Mix Modelling that can isolate the true incremental lift of each channel. This requires investment, patience, and a willingness to accept that platform-reported numbers may be flattering the picture considerably.
Consumer intent, session behaviour, attribution windows, and basket sizes can vary significantly between a marketplace search ad and a quick commerce placement. The intensity, scope, and period of a consumer visit on each platform are meaningfully different, and yet most brands are applying uniform KPIs across fundamentally non-uniform environments. The industry is increasingly aware that standardised measurement across platforms is not just desirable but necessary for any honest comparison of media effectiveness.
The Equity Erosion Nobody Is Billing For
Perhaps the most consequential dimension of India's commerce media gold rush is the one that will only become visible in hindsight. Brand equity, the accumulated consumer trust, emotional salience, and pricing power that a brand builds over years of consistent communication — does not appear on a retail media dashboard. It does not generate an ROAS figure. It is not optimised by an algorithm. And it is quietly being depleted as brands chase the measurable at the expense of the meaningful.
The longer-term risk is structural. Excessive focus on lower-funnel efficiency can gradually increase acquisition costs, weaken differentiation, and reduce pricing power over time. When brands stop investing in upper-funnel awareness and consideration, they create a dangerous dependency on performance marketing to sustain sales momentum. The cycle becomes self-reinforcing: each quarter of underinvestment in brand building makes the next quarter's performance targets harder to hit without increasing lower-funnel spend. Over time, organic consumer preference weakens, brand salience fades, and the cost of converting a customer rises steadily.
Upali Nag, President of Strategy at WPP Media South Asia, has observed this pattern closely. "A lot of brands when they are doing a lot of bottom-funnel or performance marketing, they are seeing brand equity eroding. Therefore, it is important to balance. You still need to build brands. End of the day, brands connect with humans, and therefore you have to tell the story." The MMA India and WPP Media Modern Marketing Reckoner 2026 captures this tension through what it describes as the Lighthouse and Speedboat model — the idea that brands must simultaneously operate as unwavering beacons of long-term trust while deploying fast, experimental teams to capture real-time consumer attention. The risk the report identifies is that India's commerce media boom is producing a lot of speedboats and not enough lighthouses.
Preyal Daru, Vice President of Digital Media at Cheil India, identifies the commercial trap this creates. "This creates an overdependence on performance marketing to generate sales, leading to a cycle where brands must continuously increase lower-funnel spending to maintain growth. Over time, the lack of sustained brand investment weakens organic consumer preference and brand salience, making acquisition increasingly expensive."
Redefining the Rules of Engagement
The path forward being sketched by strategists and measurement experts is not a retreat from commerce media. The channel is too large, too fast-growing, and too structurally important to the consumer purchase journey to be sidelined. The argument, rather, is for a fundamental reorientation in how brands deploy it and how they measure its true contribution to business outcomes.
Nag's research has surfaced a finding that complicates conventional attribution thinking. Offline media is driving conversions on commerce platforms, while commerce platform advertising is simultaneously influencing purchases made in physical retail stores. The consumer journey is not a straight line from digital ad to digital purchase. It is a circuit, and brands that measure only the final click are missing most of what is actually happening. Advanced multi-touch attribution models and data clean rooms — privacy-compliant environments where disparate data sources can be analysed together, are emerging as the tools most likely to make sense of this complexity at scale.
For brands looking to navigate the current landscape responsibly, the counsel from measurement specialists is methodical. Building operational foundations like product availability, strong listings, ratings and reviews, pricing consistency, and basic attribution visibility, matters more than chasing scale prematurely. Sponsored product placements, which account for roughly 40 percent of retail media budgets globally according to Nielsen's 2025 retail media analysis, remain the most reliable entry point because they align with active purchase behaviour rather than manufactured impulse.
Asthana's prescription for retail media reframes the creative brief entirely. "When a consumer scrolls through a quick-commerce app, your ad should not just say 'Buy Now with 10% Off.' It must deploy your brand's core visual and emotional assets." In this view, the commerce media touchpoint is not a departure from brand building. It is brand building, if the creative strategy treats it as such.
The larger industry question is whether India will develop a unified cross-platform measurement framework before the fragmentation becomes irreversible, which remains genuinely open. The India advertising market is projected to grow 9.7 percent in 2026, with digital commanding close to 70 percent of total spend. Within that digital bucket, retail media is among the fastest-growing segments. The stakes of getting measurement right have never been higher, and the cost of getting it wrong will compound quietly until it becomes impossible to ignore.
India's commerce media gold rush is real, and the growth is real. What remains to be settled is whether the industry builds the infrastructure to count what actually matters, or spends the next decade optimising for numbers that were never measuring the right thing in the first place.
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