Why Some Indian eCommerce Brands Are Growing While Thousands Remain Invisible

Part 3 of 3 in the India Commerce Market Intelligence series from Horeb eCommerce.

India now has thousands of online-first brands. One 2026 industry compilation counts more than 10,000 active D2C brands selling primarily online, and Unicommerce puts the D2C market at roughly US$10–12 billion, with FY26 order volumes up about a third. Yet growth is concentrated. Some estimates suggest more than 80% of Indian D2C brands never reach profitability.

Industry commentary points to the same cause. Most D2C models don’t fail for lack of demand. They fail on structure: low repeat purchase, weak differentiation, high acquisition costs and thin unit economics. This final article in the series argues that those structural problems share one root: invisibility, and that it is both more varied and more fixable than most founders assume.

We have already looked at where the demand is moving and who can serve it intelligently. This piece asks who actually gets found, trusted and remembered.

What “Invisible” Actually Means

A brand can be busy and still invisible. Visibility has four layers, and many brands only have the first, rented from someone else.

The Rented Attention Problem

Many brands built early growth on Meta ads, creators and marketplace listings. That was efficient when acquisition was cheap. It becomes fragile when it isn’t.

• Costs rose. One agency analysis reports Meta CPMs up 40–60% since 2023. Indian D2C brands are increasingly judging campaigns on contribution margin, blended CAC, CAC payback and repeat rate, not just platform-reported ROAS.
• Repeat is the lever. Benchmarks vary by category, but one analysis puts typical 90-day repeat purchase in many Indian D2C categories at 20–30%, with consumables needing to exceed about 35%. When repeat is low, acquisition cost never gets paid back.
• Marketplaces hide dependence. The same analysis finds many ₹50 crore brands draw 40–70% of revenue from marketplaces, where fees, ads and discount pressure stack up.
• Other channels aren’t free. Offline retail adds distributor and retailer margins of 20–35%, according to one industry write-up. Quick commerce platforms can contribute 10–25% of urban revenue for scaled brands in some categories, but on someone else’s terms.

None of these figures is a law of nature, and several come from agency or vendor analyses rather than audited data. But the pattern is consistent: brands that depend on one rented source of attention are exposed to whoever sets the price.

How Growing Brands Behave Differently

• They own discovery. They invest in category-level search content, complete product pages and structured data, so demand doesn’t switch off when ad budgets do.
• They build a repeat engine early. WhatsApp, email and app prompts are designed around reorder cycles, not only promotions.
• They manage channel mix deliberately. Marketplaces and quick commerce are used for reach, while the brand site and community carry margin and data.
• They treat logistics as brand. Pincode-level courier rules, COD verification and fast delivery protect trust, especially in Tier-2 and Tier-3 markets.
• They have a data foundation. Clean catalogue and connected customer, order and stock data, the base laid out in our AI readiness article, turn into better decisions every quarter.
• They watch contribution margin daily. Growth is designed around profit after returns, discounts and fees, not revenue alone.

The New Front Door: Being Found by AI

Search is no longer the only place discovery happens. NielsenIQ’s August 2026 study across India’s top eight metros found 92% of consumers had used AI while shopping. Festive-season reporting describes shoppers asking ChatGPT or Gemini to compare products and shortlist options before they open a marketplace. GoKwik and PayU have launched multi-brand D2C shopping inside ChatGPT, and Flipkart, BigBasket, Ajio and FirstCry are building AI storefronts.

What does an AI assistant need from you?

• Complete, consistent product attributes: ingredients, sizes, materials, use cases, certifications.
• Structured data (schema) on product, offer, review and FAQ content, so machines can read it.
• Clear, factual descriptions and answers to the questions shoppers actually ask.
• Reviews and third-party mentions that corroborate your claims.
• Accurate price and stock availability through reliable feeds or APIs.
• A fast, mobile-first site that completes the purchase when the AI hands the shopper over.

Adoption of AI-completed checkout is still low in India, and claims such as one vendor’s statement that AI-sourced traffic converts at least three times better are not independent benchmarks. But the preparation work is the same good practice that helps search, marketplaces and customers. It is a cheap bet.

A Visibility Audit You Can Run This Week

A 90-Day Visibility Plan

• Weeks 1–2, audit. Run the checks above and rank the three biggest gaps by revenue impact.
• Weeks 3–6, fix the foundation. Clean and enrich top-SKU product pages, add structured data, standardise attributes across channels, and set up a reliable feed.
• Weeks 5–8, build the repeat engine. Design reorder reminders, post-purchase flows and WhatsApp updates; segment by purchase cycle.
• Weeks 7–10, own more discovery. Publish category-level content that answers real questions and earns links, rather than only posting for engagement.
• Weeks 10–12, rebalance channels. Set targets for owned share of traffic and contribution margin by channel, and cap the share any single channel can reach.

What the Evidence Can’t Tell You

• Many benchmarks come from agencies, vendors and operator blogs, not audited datasets. Treat ranges as directional.
• Categories differ. A consumable with a natural reorder cycle is a different business from a high-consideration product.
• Some brands thrive on marketplaces. The risk is dependence without alternatives, not the channel itself.
• AI discovery is moving quickly and measurement is immature. Test, don’t assume.
• Brand-building takes time. Expect visibility work to show in months, not weeks.

What to Do First, by Situation

Conclusion: What the Three Articles Add Up To

• Where the demand is: smaller cities now supply most new online orders, with higher complexity.
• Who can serve it: businesses with connected data and focused AI will handle that complexity better.
• Who gets found: brands that own discovery, trust, repeat and margin will be visible to people, search engines and AI assistants alike.

Visibility is not a marketing trick. It is the visible edge of how well a business is built: its data, its operations and its relationship with customers. Brands that invest there will not need to shout.

Frequently Asked Questions

Why do most Indian D2C brands struggle to grow profitably?

Commentary and industry analyses point to structural issues rather than weak demand: rising acquisition costs, low repeat purchase, limited differentiation, marketplace dependence and thin unit economics.

What does it mean for an eCommerce brand to be invisible?

It means the brand isn’t found without paid clicks, isn’t trusted enough to convert without heavy incentives, isn’t remembered after the first order, or isn’t profitable after returns and fees.

How do I reduce dependence on marketplaces?

Build owned channels in parallel: a fast brand site, category-level content, email and WhatsApp for repeat orders, and a first-party customer database. Set targets for the share of revenue and traffic you own.

How can my products appear in ChatGPT or Gemini recommendations?

Provide complete, consistent product data, structured markup, clear factual descriptions, reviews and accurate price and stock feeds. No one can guarantee placement, but machine-readable data improves your chances.

What is a good repeat purchase rate for D2C in India?

It varies by category. One analysis puts 90-day repeat at 20–30% for many categories and above 35% for consumables, but measure your own cohorts and compare with your category.

Is it better to sell on marketplaces or my own site?

Most growing brands use both. Marketplaces give reach, while your own site gives margin and customer data. The risk is relying on a single channel for most of your revenue.

Sources and notes: Unicommerce FY26 D2C analysis; Inc42 reporting on D2C economics; exchange4media on CAC and profitability metrics; NielsenIQ Agentic Commerce India 2026; agency and vendor benchmarks (including CPM, repeat and marketplace-share ranges) as published in 2026. Benchmarks differ by category and source and are directional.