Summary: Most growth is borrowed, not invented. Across 15+ Indian brand contrasts mapped in August 2026, from broking to edtech to eyewear, the companies that reached durable outcomes re-engineered roughly 90% of their playbook from proven patterns and held 1 or 2 structural bets their category refused to make. The brands that copied 100% of the playbook ended up renting growth through ad spend. This article lays out the evidence, the failures, and a working framework for choosing your 10%.
In FY25, Kapiva spent Rs 188 crore on advertising to generate Rs 342 crore of revenue. That is 55 paise of ads for every rupee of sales, and the company still closed the year with a Rs 69 crore net loss (Entrackr, RoC filings).
Same category. Same decade. Wildly different endings.
Here is the uncomfortable part. None of the three invented anything. Kapiva borrowed the funded D2C playbook, including mechanics lifted from Ritual and Hims & Hers. Forest Essentials borrowed premium retail from luxury beauty. Innovist borrowed the house-of-brands structure. Innovation did not separate them. One decision did: the 2 brands that got acquired each held a single structural bet the rest of the category refused to make, while shamelessly copying everything else.
At upGrowth Digital we run growth for fintech, healthcare, and D2C companies, and this pattern matches what we see inside engagements. When we grew Lendingkart’s lead volume 5.7x and Vance’s revenue 287%, the wins came from re-engineering proven mechanics faster than competitors, not from inventing new ones. So in August 2026 we stress-tested the idea properly: 15+ brand contrasts across 5 industries, with a deliberate hunt for cases that break the thesis. The pattern held, with 2 refinements that matter more than the thesis itself.
What Is Re-Engineered Growth?
Re-engineered growth is the practice of building a company’s growth engine from mechanics already proven in your category or an adjacent one, rather than inventing new ones. As of 2026, it describes how most scaled Indian consumer and SaaS brands actually grew: Zerodha imported discount broking from the US, Physics Wallah adapted the Kota coaching model to YouTube, and Kapiva assembled its playbook from American wellness brands.
There is nothing wrong with this. Borrowed mechanics are cheaper, faster, and lower-risk than invention. The problem starts when a company borrows 100% of its playbook, because borrowed tactics decay. Influencer marketing was a differentiator in Indian D2C around 2019. By 2022 it was table stakes. Celebrity brand ambassadors, “science-backed” claims, quiz-led onboarding, all of it followed the same curve from edge to industry standard within 2 to 3 years.
When everything you do is what everyone does, the only lever left is spending more. That is rented growth: revenue that exists only as long as the ad budget does. Kapiva’s 55% ad-to-revenue ratio is what rented growth looks like on a P&L.
3 Ayurveda Brands, 3 Different Endings
The pattern shows cleanest in the category where we first spotted it.
Kapiva borrowed the full funded-D2C stack: convenient formats, influencer campaigns, a celebrity investor, omnichannel expansion. Competent execution, and revenue grew 50% in FY25. But every mechanic it uses is now standard across Indian D2C wellness, so growth has to be purchased. Ad spend rose 53% year on year to hold that growth rate.
Forest Essentials borrowed premium positioning and retail theatre from global luxury beauty. Its structural bet: near-zero paid advertising for close to a decade, with owned stores and hotel partnerships doing the marketing. The store was the ad. That bet compounded into pricing power no performance budget can buy, and an 18-year investor relationship with Estee Lauder ended in a full acquisition announced March 2026.
Innovist borrowed D2C distribution and the house-of-brands structure. Its structural bet: building an in-house R&D lab and manufacturing facility in Manesar before scaling the brand, while nearly every peer used contract manufacturers. That is why its clinical claims were defensible and competitors’ were copy. When L’Oreal announced its majority acquisition in June 2026, its press release named the in-house R&D and manufacturing capability as the reason.
Both acquirers cited the structural bet. Neither cited the marketing.
Zerodha vs CRED: What a Rs 976 Crore Marketing Bill Buys
Fintech runs the same experiment at larger numbers.
CRED borrowed rewards psychology from US credit card programs and brand-building from consumer internet. In FY22 it spent Rs 976 crore on marketing against Rs 394 crore of revenue. That is Rs 2.48 of marketing per rupee earned. By FY24, revenue had grown to Rs 2,473 crore but the net loss stood at Rs 1,644 crore, and the operating loss narrowed 41% only after CRED cut marketing spend 36% and CAC 40%. Seven years in, accumulated losses crossed Rs 5,200 crore. The differentiation was a marketing layer, and marketing layers decay. CRED is now retrofitting structure through lending, which is the expensive order of operations.
Zerodha borrowed the discount broking model wholesale from the US. Its structural bets: zero paid marketing in its entire history, and zero external capital. Near-zero CAC compounds in a way no funded competitor can copy without firing their own growth team. Result: roughly Rs 4,700 crore of net profit on Rs 8,320 crore of revenue in FY24, a 56% margin, in a category where funded rivals burned capital for share.
Two honest caveats, because the data forces them. First, Groww overtook Zerodha on active clients using a largely re-engineered playbook plus one quiet structural choice, targeting first-time investors in smaller cities instead of fighting for Zerodha’s traders. Execution can win share. Zerodha still wins profit by a multiple. Second, Zerodha’s own bet carries concentration risk: SEBI’s F&O curbs dented its FY25 revenue about 15%. A structural bet is a moat, not immunity.
Why Did BYJU’S Collapse While Physics Wallah IPO’d?
Edtech gave the hypothesis its most brutal test, and its cleanest confirmation.
BYJU’S spent Rs 8,029 crore on advertising between FY16 and FY22, which was 69% of its operating revenue in that window. Shah Rukh Khan, Messi, FIFA, the Indian cricket team jersey. Underneath the spend sat a borrowed freemium model and an aggressive inside-sales machine, with 17 acquisitions bolted on. No structural bet, just scale. When the capital stopped, the growth stopped with it. By mid-2024 the company was in insolvency proceedings, and Prosus wrote its 9.6% stake, once carried at $493 million, down to zero.
Physics Wallah borrowed almost everything BYJU’S used: online test prep, YouTube distribution, and eventually offline centres, which is the 60-year-old Kota model. Its structural bets: a price point so low the funded playbook could not follow it down, made possible by a creator-led model where the founder-teacher is the acquisition channel. Marketing stayed under 10% of revenue throughout, and actually fell 70.8% to Rs 19.56 crore in FY24 while revenue grew 2.6x. In November 2025, PW listed roughly 44% above its issue price at about a $5 billion valuation, and posted a Rs 69.7 crore net profit in Q2 FY26.
Same category, same years, same borrowed mechanics. The difference was 1 bet on cost structure versus 1 bet on ad volume.
Lenskart vs boAt: The Difference Between a Brand and a Moat
D2C hardware and eyewear show what happens 5 to 7 years after the playbook gets copied.
Lenskart borrowed omnichannel D2C. Its structural bet was backward integration: in-house manufacturing at Bhiwadi with automation that cut lens and frame costs an estimated 35 to 40% below industry, feeding 2,000+ owned stores. The bet suppressed margins for years, then flipped. FY25: Rs 6,652 crore revenue, Rs 297 crore net profit, product margins near 69%, and a 2025 IPO. Every new store now rides a cheaper owned supply chain. That is what compounding looks like.
boAt and Noise built genuinely strong brands on a re-engineered stack: ODM-sourced products from Chinese manufacturers, influencer and celebrity marketing, marketplace distribution. Neither owns its supply chain. So when rivals flooded the market with cheaper smartwatches, there was no structural floor. boAt’s FY24 revenue fell about 5% to Rs 3,122 crore with a Rs 79.7 crore loss before cost cuts restored a thin profit. Noise slipped to a Rs 20 crore loss while spending Rs 286 crore on ads, about 20% of revenue. Distribution and brand bought them the category. Nothing they own defends it.
Mamaearth’s parent Honasa is the listed version of the same lesson: Rs 744 crore of marketing in FY25, 36% of revenue, with net profit falling 34%. Its most interesting current move is its first genuinely structural one, Project Neev, which rips out super-stockists in favour of direct distribution. The transition briefly crushed EBITDA, which is exactly what a real structural bet feels like in year 1.
The Compounding Test: Structural Bet or Fixed-Cost Trap?
Here is where the original thesis broke and had to be repaired. Making a bold, non-consensus structural bet is not enough, because 2 of the boldest bets in Indian consumer internet failed outright.
Dunzo bet on capital-heavy dark stores before quick commerce was consensus. Genuinely structural, genuinely early. FY23: Rs 226 crore of revenue against a Rs 1,801 crore loss, roughly Rs 230 burned per order. Reliance wrote off its entire investment of about Rs 1,645 crore, and Dunzo shut in January 2025.
Rebel Foods bet on delivery-only cloud kitchens, a real structural inversion of restaurant economics. 14 years later it is still loss-making: Rs 337 crore of losses on Rs 1,617 crore of revenue in FY25.
The repaired rule: a structural bet only counts if it lowers unit cost or raises switching cost as the business scales. Lenskart’s factory makes each incremental frame cheaper. Zoho’s owned datacenters make each incremental user cheaper. Costco’s markup cap makes each incremental member more loyal. Dunzo’s dark stores made each incremental order more expensive until density arrived, and density never arrived. A bet that only raises fixed costs is not a moat. It is a countdown.
Scan the winners across every category we mapped and one bet repeats far more than any other. Not building something. Refusing something.
Zerodha refused marketing. Zoho refused venture capital for 29 years and crossed Rs 12,300 crore of FY25 revenue as a bootstrapped company, against Freshworks, which followed the funded playbook to a NASDAQ listing and spent years posting GAAP losses with sales and marketing at over half of operating expenses. DMart refused rentals, buying its real estate outright, and posted about Rs 2,929 crore of profit on Rs 59,358 crore of FY25 revenue. Costco refuses to mark up merchandise beyond roughly 14%, routing profit through membership instead. Forest Essentials, iD Fresh, and Physics Wallah all refused the ad-spend arms race, holding marketing under 10% of revenue.
The pattern deserves its own name: the structural refusal. Ask which line item your entire category treats as mandatory, then design the business so you can refuse it permanently. A refusal is cheaper and safer than a build, and competitors funded to spend cannot copy it without breaking their own model.
One honesty check before you canonise any of these founders. Several famous “bets” started as constraints. Mira Kulkarni had no money for advertising in 2002. Zoho could not raise on friendly terms in its early years. The strategy was not the constraint itself. The strategy was keeping the constraint alive after they could afford to drop it, at the exact moment every advisor said to drop it. And survivorship bias is real: for every Zerodha there are bootstrapped brokers nobody remembers. The framework improves odds. It guarantees nothing.
The 90/10 Rule: How to Choose Your Bets
Everything above compresses into a working method. We now use this internally before any growth engagement.
1. Re-engineer 90% shamelessly. Onboarding, pricing display, content engines, influencer mechanics, marketplace playbooks, subscription structure. Copy what is proven in your category or an adjacent one. Originality here is wasted motion, because these tactics decay into industry standard within 2 to 3 years anyway.
2. Run every structural-bet candidate through the compounding test. Does it lower unit cost as you scale, or raise switching cost? If neither, it is a fixed-cost trap wearing a strategy costume. Dunzo passed the boldness test and failed the compounding test.
3. If unsure, pick a structural refusal. The single most repeated winning bet in our dataset was refusing a spend the category treats as mandatory. It requires no capex and cannot be copied by competitors whose investors expect the spend.
4. Watch the decay clock on your ad-to-revenue ratio. If marketing runs above 30 to 40% of revenue and must stay there to hold growth, you have rented growth: Kapiva at 55%, Mamaearth at 36%, BYJU’S at 69% before the end. If a structural bet is working, the ratio falls while growth holds: Physics Wallah under 10%, iD Fresh near 8%, Zerodha at zero.
5. Sequence the bet before the scale. Innovist built the lab before the brand. iD Fresh built the cold chain first. Lenskart built the factory while still loss-making. Scaling on rented growth and retrofitting a moat later is the most expensive path in the dataset. It is the one CRED and Mamaearth are paying for now.
A: Re-engineered growth is building your growth engine from mechanics already proven in your category or an adjacent industry, rather than inventing new ones. Most scaled Indian brands grew this way. It works, but only when paired with 1 or 2 structural bets the category refuses to make, because borrowed tactics decay into industry standard within 2 to 3 years.
Q: Is copying a competitor’s growth strategy a bad idea?
A: No. Roughly 90% of your playbook should be borrowed from proven patterns, because it is cheaper and lower-risk than invention. The failure mode is copying 100%. When every mechanic you run is category-standard, the only differentiator left is budget, and growth becomes something you rent through ad spend rather than own.
Q: How do I know if my growth is rented?
A: Check your advertising-to-revenue ratio and its direction. If marketing runs above 30 to 40% of revenue and cannot come down without growth stalling, the growth is rented. Kapiva ran at 55% in FY25 and still posted a Rs 69 crore loss. Brands with working structural bets show the opposite curve: the ratio falls while growth holds.
Q: What counts as a structural bet?
A: A non-consensus choice about how the business is built, not how it is marketed, that lowers unit cost or raises switching cost as you scale. Examples: Lenskart’s in-house manufacturing, Zoho’s owned datacenters, Zerodha’s zero-marketing model, Costco’s markup cap. A bold move that only raises fixed costs, like Dunzo’s dark stores, does not qualify.
Q: Did every successful brand make a structural bet?
A: Almost, but not cleanly. DMart and Groww got far on disciplined execution, though DMart’s owned-real-estate model and Groww’s segment choice arguably count as quiet structural bets. The honest version: execution keeps you alive, a compounding bet decides whether you keep buying customers forever or eventually own them. And survivorship bias inflates every retrospective, including this one.
Q: How does upGrowth apply this framework in client work?
A: We separate the 90% from the 10% before spending a rupee. For Lendingkart, re-engineering proven acquisition mechanics grew lead volume 5.7x. For Vance, the same discipline produced 287% revenue growth. The framework’s job is to stop clients from either over-inventing the 90% or under-investing in the 10%.
Your Next Move: Find Your 10%
Run the 2-number check today. Pull your marketing-to-revenue ratio for the last 4 quarters and plot the direction. Then write down your structural bet in 1 sentence. If the ratio is above 30% and rising, or if the sentence describes a marketing tactic rather than how your business is built, you are renting growth in a market where the rent only goes up. Meta and Google CPCs in India rose 30 to 100% across categories in the last cycle, which means rented growth gets more expensive every year you delay the fix.
This is the diagnostic we run at the start of every engagement, across paid, organic, and AI search visibility, because the same decay logic now applies to how AI engines cite brands. The output is a straight answer on which 90% to copy faster and which 10% to own.
About the Author: I’m Amol Ghemud, Chief Growth Officer at upGrowth Digital. We help SaaS, fintech, and D2C companies shift from traditional SEO to Generative Engine Optimization. This shift has generated 5.7x lead volume increases for clients like Lendingkart and 287% revenue growth for Vance.
For Curious Minds
Re-engineered growth involves systematically adapting proven market mechanics, not just mimicking them. It is a deliberate strategy of borrowing about 90% of a playbook from successful precedents while layering on a unique, hard-to-copy structural bet.
This approach avoids the common pitfall of "rented growth," where revenue is entirely dependent on ad spend. The key difference is the 10% structural bet, a core decision the rest of the market refuses to make. For instance, while Kapiva replicated the standard D2C playbook, leading to a 55% ad-to-revenue ratio, Forest Essentials borrowed from luxury retail but made a structural bet on using its owned stores as the primary marketing channel. This distinction is what separates temporary, bought-in revenue from durable, owned market positioning. Discover how to identify the right 10% for your brand by exploring the full analysis.
A structural bet is a fundamental, long-term strategic choice that is difficult for competitors to replicate and goes against prevailing industry norms. It is not a marketing tactic but a core component of the business model that creates a compounding advantage over time.
This bet helps you escape the "rented growth" cycle by creating a moat that is not dependent on budget. Forest Essentials made a structural bet on premium physical retail and near-zero paid ads, turning its stores into a marketing engine. This built pricing power and brand equity that competitors could not buy. In contrast, brands that copy 100% of the playbook, like Kapiva with its Rs 188 crore ad spend, are left competing only on spending, a battle with diminishing returns. The full article details how to choose a bet that aligns with your company's core strengths.
The two models result in vastly different financial profiles and strategic value. Kapiva's reliance on the standard funded-D2C playbook leads to a "rented growth" model, characterized by high customer acquisition costs and dependency on advertising.
This is reflected in its P&L, where it spent 55 paise on ads for every rupee of sales, culminating in a Rs 69 crore net loss. Conversely, Forest Essentials adopted a luxury retail model with a structural bet on owned physical stores as its marketing channel. This created a durable asset, strong brand equity, and pricing power without massive ad outlays. The outcomes speak for themselves: Kapiva remains in a high-burn growth cycle, while Forest Essentials' profitable, defensible model made it an attractive acquisition for Estee Lauder. Understanding these divergent paths is key to building a brand that lasts.
A high ad-to-revenue ratio is a direct indicator of a "rented growth" model, where sales are bought, not earned. For Kapiva, spending Rs 188 crore on ads to generate Rs 342 crore in revenue shows a heavy dependency on performance marketing to sustain its top line.
This metric signals several underlying weaknesses:
Low Brand Moat: The company lacks a unique value proposition strong enough to attract customers organically.
Poor Unit Economics: With over half of every rupee earned going back into ads, the path to profitability is incredibly challenging.
Vulnerability to Market Shifts: Any increase in ad costs or change in platform algorithms could severely impact revenue.
For investors, this signals a high-risk venture that may struggle to achieve profitability without continuous external funding. The full piece explores how brands with stronger structural foundations present a much more compelling case.
Zerodha and Physics Wallah are prime examples of successfully re-engineering established models for the Indian context. Neither invented a completely new category; instead, they identified a proven playbook and added a unique structural twist.
Zerodha imported the discount broking model, which was already successful in the US, and adapted it for India with a technology-first, low-cost structure. Its structural bet was on a product-led growth model with zero marketing spend, which was unheard of in the Indian financial services space. Similarly, Physics Wallah re-engineered the proven Kota coaching factory model but delivered it at massive scale and low cost via YouTube. Its bet was on extreme affordability and accessibility, a stark contrast to the high-priced, offline incumbents. Both cases show that durable scale comes from smart adaptation, not pure invention.
Forest Essentials created a powerful moat by rejecting the high-spend digital marketing playbook common in its category. Its structural bet was to build the brand through experiential luxury retail and strategic hotel partnerships, making the store itself the primary advertising channel.
This strategy yielded several compounding advantages:
High Perceived Value: The luxury in-store experience justified premium pricing, leading to healthier margins.
Strong Brand Equity: It built an aspirational brand identity that digital ads alone cannot replicate.
Owned Customer Relationships: Physical stores fostered direct connections with customers, reducing reliance on third-party platforms.
This capital-efficient, high-margin model was highly attractive to a global strategic like Estee Lauder, which understood the value of a brand built on owned distribution and pricing power rather than rented ad space. The complete analysis offers more examples of how unconventional bets lead to superior outcomes.
Founders should adopt a structured, three-step process to build a durable growth engine. The goal is to avoid the trap of copying 100% of the playbook, which leads to rented growth like that of Kapiva.
First, deconstruct the category leaders. Map the top 3-5 competitors' playbooks across product, distribution, marketing, and pricing. Identify the common mechanics that are now table stakes. Second, identify points of refusal. Analyze what these leaders, due to their scale or business model, are unwilling or unable to do. This could be a channel they ignore or a pricing model they avoid. Third, formulate your structural bet within these gaps. This bet should be a long-term commitment, not a short-term tactic. For example, a bet could be on building a community through offline workshops. This framework guides you toward a defensible market position.
Brands must shift their focus from tactical excellence to strategic differentiation. The rapid decay of marketing tactics means that any advantage gained from a new channel or format is temporary and will soon become table stakes for the entire industry.
To build lasting value, your strategic planning should be anchored in a durable, structural bet rather than a portfolio of fleeting tactics. This involves prioritizing investments in areas that are hard for competitors to copy quickly, such as:
Owned Distribution: Like Forest Essentials' retail footprint.
Proprietary Technology: A unique product feature or platform.
Deep Community Building: Creating a loyal user base that transcends transactions.
The future belongs to brands that treat marketing tactics as disposable tools to support a permanent strategic pillar. Read the full article to see how this reorientation protects against the inevitable commoditization of growth channels.
This trend signals a maturing market where acquirers are prioritizing sustainable, profitable business models over growth-at-all-costs narratives. The acquisitions of Forest Essentials and Innovist show that global strategics are looking for brands with defensible moats, not just large revenue figures propped up by ad spend.
For D2C startups, this has significant implications for valuation and exit strategies. Companies that can demonstrate a clear "structural bet" leading to strong brand equity, pricing power, and organic demand will command premium valuations. In contrast, those stuck in the "rented growth" cycle, like Kapiva with its negative P&L despite high revenue, will face skepticism and lower multiples. The future of successful exits in Indian D2C lies in building a business that is fundamentally sound, not just temporarily large. Explore the framework for building this kind of valuable enterprise in the full post.
The core problem of the "rented growth" model is its complete dependence on external platforms and paid channels, creating a business with no durable assets. This approach, exemplified by Kapiva spending 55% of its revenue on ads, mistakes revenue for progress while eroding profitability.
The solution is to pivot from renting audiences to building owned assets. This requires identifying and committing to a structural bet that creates a compounding advantage. A brand can pivot by systematically reallocating a portion of its performance marketing budget towards a long-term initiative. For instance, a brand could shift 20% of its ad budget from paid social into building a robust content platform or an exclusive community program. This moves the focus from short-term transactions to long-term brand equity and organic demand, breaking the cycle of dependency.
Copying a competitor's entire playbook is a losing strategy because you are always playing catch-up on tactics that are already becoming less effective. By the time a tactic like celebrity endorsements becomes obvious enough to copy, its unique advantage has already decayed and it is just the cost of competing.
This leads to a war of attrition where the only differentiator is who can spend more, as seen with brands caught in the "rented growth" trap. The solution offered by the "re-engineered growth" framework is to copy strategically, not completely. The model advocates for borrowing the 90% of the playbook that works. However, the crucial step is to invest your creative energy in developing the 10% that constitutes a unique structural bet, a move your competitors are not making. This is how brands like Zerodha and Forest Essentials built their moats.
A fintech company can accelerate growth by systematically identifying and re-engineering proven mechanics from adjacent B2B sectors, focusing on efficiency over pure spending. The success with Lendingkart, which grew lead volume 5.7x, came from this exact approach.
The first step is to look beyond direct fintech competitors to high-growth SaaS and enterprise software companies. Analyze their demand generation engines: how do they use content marketing, partner ecosystems, or product-led growth loops? Second, select two to three proven mechanics that align with your business model. For example, a B2B lender could adapt the partnership playbook from payment gateways by integrating its service into accounting software platforms. Third, execute with speed and precision, aiming to implement these borrowed mechanics better and faster than anyone in your niche.
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