What It Actually Means When a Marketing Program Bets Its Revenue on Your Placement

The best decisions in any business – in marketing, in hiring, in education – tend to come from people who have something real to lose if they get it wrong.

Not their reputation. Their money.

This is an old idea. Nassim Taleb calls it “skin in the game.” Warren Buffett calls it “eating your own cooking.” In marketing, Varun Satia – who spent years building brands at Nestle across KitKat, Maggie Sauces, and Maggie Noodles – calls it the difference between advice that costs nothing and advice that costs something.

When Varun & Eshu built Kraftshala, they applied this principle to career education: if a student completes the program and doesn’t get placed above a minimum salary, Kraftshala refunds 60% of the fee.

That single decision changed everything about how the institution operates – and why it produces the outcomes it does.

The Structural Problem with Most Career Education

Most education businesses are built around one incentive: enroll more students.

Revenue is tied to admissions. Once the fee is collected, the institution has been paid. Whether the student gets a job at ₹3 LPA or ₹8 LPA – or doesn’t get one at all – doesn’t change the revenue equation.

This isn’t incompetence. It’s a structural misalignment. When the institution’s income is secured at enrollment, there’s no financial reason to optimise for outcomes. The result is what’s visible across Indian EdTech: certificates that don’t convert to jobs, placement rates that include ₹1.8 LPA internships, and courses taught in what Varun calls “a fluff and gaseous way” – theory-heavy, practice-light, and completely disconnected from what employers actually want.

90% of freshers in digital marketing are stuck at ₹2-3 LPA despite having certifications. The credentials exist. The career growth doesn’t follow. The system was never designed to make it follow.

What Changes When the Institution Has Financial Skin in the Game

When Kraftshala built a 60% fee refund into the business model – triggered whenever a student doesn’t get placed above the salary floor – the incentive structure inverted.

Every unplaced student now costs Kraftshala real money. Which means every decision that affects placements becomes a financial decision.

Admissions: Kraftshala accepts 1 in 3 candidates for MLP and 1 in 6-8 for the PGP in AI-Led Sales, Marketing and Business. The selectivity isn’t about prestige – it’s because admitting students who aren’t likely to be placed above the floor is a direct cost. The screening test exists to protect the placement rate, which protects the business.

Curriculum: Eshu built Kraftshala’s “Real Play” methodology – live campaigns on real brands, not simulations. The reasoning matters more now than ever: most programs teach marketing through case studies and hypotheticals. In an AI world, that’s a problem – because AI can now generate hypothetical strategies, write campaign briefs, and answer theoretical frameworks faster than any student can. What AI cannot replicate is judgment built from real execution. Kraftshala’s response isn’t to ignore AI – it’s to integrate it directly into Real Play. Students use AI tools as part of live campaigns, learning where AI accelerates execution and where human judgment is still the deciding factor. A candidate who has run a real brand campaign with AI in the workflow walks into an interview with the experience of actually running ads – having used AI to build the execution and human judgement to optimise for the best outcome. That’s the experience of real decisions with real consequences. Not something a case study or a prompt can teach. As Eshu puts it, “Prompts alone can’t generate excellent work – you need the brilliant basics.” Real Play is where both come together.

Hiring partnerships: Kraftshala is the largest talent provider to Publicis globally – and to every major marketing agency operating in India: GroupM, Dentsu, Performix, HiveMind. When Nescafe’s India team recently won an industry award, all three people on that team had graduated from Kraftshala – different batches, different years, not placed there by design. These aren’t logos acquired for a landing page – they’re active pipelines built because 96% placements require consistent, reliable employer relationships, not one-off connections.

Every one of these structural choices traces back to the same root: when the institution loses money if students don’t get placed, the institution finds ways to make sure students get placed. 

The Placement Data That Results from This Model

The outcomes are worth examining concretely.

Marketing Launchpad (MLP):

• 3,000+ students placed since 2020
• Placement rate: 94%
• Average CTC: ₹5.5 LPA
• Highest CTC: ₹10.05 LPA
• Monthly placement pace: ~95 students

PGP in AI-Led Sales, Marketing and Business:

• Placement rate: 100%
• Average CTC: ₹10.3 LPA
• Highest CTC: ₹22 LPA (at Rippling)

These aren’t numbers pulled from best-case batches. They’re the output of a system where admissions, curriculum, and hiring pipelines are all built around one constraint: getting students placed above a real salary floor. The 94% placement rate on MLP is what happens when that constraint is applied consistently across 3,000+ students and 36+ batches.

For the PGP, the floor is higher – ₹7.5 LPA – and so is the outcome. The 100% placement rate reflects both the selectivity of the program and the accountability on Kraftshala’s side: higher minimum salary, same refund policy, higher stakes for everyone involved.

Why This Matters When Evaluating Any Marketing Program

The most important question to ask any career program isn’t “what’s your placement rate?”

It’s: “What do you lose if I don’t get placed?”

If the answer is nothing – if the program collected its fee at enrollment and the rest is “support” – then the placement rate is a claim built on no accountability. The institution has already been paid. The incentive to deliver is entirely reputational, not financial.

If the answer involves a real financial consequence – a refund tied to a specific salary floor, not a vague promise of “continued assistance” – then the incentive is aligned. The institution has a direct financial reason to care about whether you get placed, at what salary, and in what kind of role.

That alignment is not a small thing. In a market where the default is to optimise for enrollments, a refund policy with a real CTC floor is a structural commitment – not a marketing line.

The Standard the Industry Should Be Held To

Career education in India has a trust problem. It’s earned. Years of overpromised placement rates, undefined guarantees, and graduates stuck at ₹2-3 LPA despite completing paid programs have made skepticism the rational default.

The solution isn’t better marketing. It’s accountability – the kind that costs something when it fails.

When an institution’s revenue depends on getting students placed above a real salary floor, the institution builds programs that actually place students. When it doesn’t, it builds programs that look like they do.

That’s the distinction. And it’s the only one that matters when you’re deciding where to invest your time, your fee, and the next stage of your career.

Who This Model Is Designed For

The fee refund model works only if the institution is genuinely selective – which means it works best for students who are ready to put in the work required to clear the screening process.

Kraftshala’s MLP screening isn’t designed to filter out weak candidates arbitrarily. It’s designed to identify students the program can genuinely place above ₹4.5 LPA – because admitting students it can’t place is a financial cost the institution bears directly.

If you clear the test, you’re being told something specific: Kraftshala is confident enough in your placement to take the financial risk. If you don’t, that’s information too – and it’s more useful to know before paying a fee than after completing a program.

Kraftshala’s Marketing Launchpad has placed 3,000+ students with a 94% placement rate and a 60% fee refund if you don’t land a role above ₹4.5 LPA. The screening test is free. Apply here!