Case Drills: 5 Marketing Cases You Can Solve in Interviews
A marketing case is not a creativity contest. The candidate who wins is usually not the one with the flashiest campaign idea, but the one who calmly finds the business problem, sizes the lever, and then recommends a marketing move that makes economic sense.
- Start every marketing case with the objective: growth, profitability, awareness, retention, launch, or repositioning.
- Diagnose before solving: break the issue into customer, company, competition, channel, and economics.
- Use STP before 4Ps: segment, target, and position first; then decide product, price, place, and promotion.
- Every recommendation needs a metric: CAC, conversion rate, repeat purchase rate, contribution margin, NPS, or market share.
- Good case answers are hypothesis-led: state what you think is happening, test it, then adjust.
- Never give only advertising ideas: marketing cases often need pricing, distribution, product, or retention fixes.
- End with risks and next steps: pilot, measure, scale, and keep a fallback option ready.
The simplest mental model: a marketing case is a loop, not a straight line. You diagnose, choose a lever, test the lever, read the data, and refine. Interviewers are checking whether you can think like a marketer who owns outcomes, not just campaigns.
The Core Way to Solve Any Marketing Case
Before the five drills, lock this structure. Almost every marketing case can be handled with one spine: objective - diagnosis - strategy - execution - metrics. If you use this consistently, your answer sounds senior even when the case is unfamiliar.
Definitions You Should Be Able to Say Cleanly
American Marketing Association: “Marketing is the activity, set of institutions, and processes for creating, communicating, delivering, and exchanging offerings that have value for customers, clients, partners, and society at large.”
Marketing case solving: a structured way to diagnose a market problem and recommend measurable marketing action under business constraints.
Metrics to Use in Marketing Case Answers
Metrics turn a “nice idea” into a business recommendation. Use these as interview-safe sanity checks, while always saying that benchmarks vary by category, price point, and channel.
Five Practice Marketing Cases with Full Solutions
Use each case in three passes: first solve it yourself in 6-8 minutes, then compare with the solution, then practise saying the final recommendation in 60 seconds.
Case 1 - D2C Coffee Brand Has Rising CAC
Prompt: An Indian D2C coffee brand sells online through its website and marketplaces. Sales are growing, but customer acquisition cost is rising and repeat purchase is not improving. What should the brand do?
Clarify: Is the objective growth or profitable growth? Assume the objective is to improve profitable growth over the next two quarters.
Diagnosis: This is not only a promotion problem. Check traffic source mix, first-order discounting, repeat purchase by cohort, subscription adoption, marketplace dependence, and product satisfaction. If CAC is rising while repeat purchase is flat, the brand may be overbuying paid traffic without building retention.
Recommended solution:
60-second answer: “I would not solve this only by changing ads. I would first split customers into cohorts and compare CAC with second-purchase behaviour. If paid social brings cheap first orders but weak repeats, I would reduce that spend and build retention through subscriptions, replenishment nudges, personalized packs, and brewing content. The metric is not just CAC; it is CAC payback and CLV:CAC by channel.”
Case 2 - FMCG Brand Wants to Launch a Rural Shampoo Pack
Prompt: A mid-sized FMCG company wants to launch shampoo in rural India. How should it design the go-to-market plan?
Clarify: Is the goal trial, penetration, or premiumization? Assume the goal is to drive trial and build repeat purchase in rural markets.
Diagnosis: Rural launch success depends on affordability, availability, habit formation, and retailer push. The biggest risk is designing a product for urban shoppers and merely distributing it in rural outlets.
Recommended solution:
60-second answer: “For rural shampoo, I would optimize for trial and repeat. The product should be in affordable small packs with a clear benefit. Distribution is critical: kirana reach, rural wholesalers, and retailer incentives matter as much as advertising. I would support this with local activation and measure numeric distribution, offtake per outlet, and repeat purchase.”
Case 3 - Premium Smartphone Brand Is Losing Gen Z Relevance
Prompt: A premium smartphone brand has strong awareness among older professionals but is losing relevance among Gen Z buyers. What should it do?
Clarify: Is the issue awareness, consideration, affordability, or brand meaning? Assume awareness is high, but consideration among Gen Z is declining.
Diagnosis: Gen Z may see the brand as reliable but not expressive. The issue may be positioning, creator relevance, camera/gaming features, financing, or retail experience. A discount-only response could damage premium equity.
Recommended solution: Reposition around use cases that matter to Gen Z - camera, creators, gaming, battery, design, and self-expression - without abandoning premium trust. Use campus creator programs, experiential retail, student financing, trade-in offers, and short-form content that demonstrates the product in real use.
60-second answer: “I would first confirm whether Gen Z rejection is due to price, features, or brand meaning. If awareness is high but consideration is weak, the brand likely needs relevance, not awareness. I would reposition around creator and entertainment use cases, support it with experiential retail and financing, and measure consideration lift, store trials, conversion rate, and social share of voice.”
Case 4 - Quick-Commerce App Wants to Improve Basket Size
Prompt: A quick-commerce app gets frequent orders, but average order value is low. How can it increase basket size without hurting customer experience?
Clarify: Is the goal higher revenue, better contribution margin, or lower delivery cost per order? Assume the goal is to improve contribution per order.
Diagnosis: Low basket size can come from mission-based ordering, poor discovery, weak bundling, low trust in fresh categories, or overuse of small-ticket convenience orders. The solution must not add friction to a speed-led proposition.
Recommended solution:
60-second answer: “I would not push random upsells because that can hurt speed and trust. I would identify order missions, then create bundles and personalized add-ons around those missions. The goal is not just higher AOV; it is higher contribution per order without worsening conversion or delivery SLA.”
Case 5 - Legacy Apparel Retailer Is Losing Young Customers
Prompt: A legacy Indian apparel retailer has good store presence but weak traction among young urban customers. What should it do?
Clarify: Is the decline due to fashion relevance, price, channel, experience, or brand perception? Assume footfall from younger customers is falling, while older customers remain loyal.
Diagnosis: The brand may be stuck in a “trusted but not exciting” position. Young customers discover fashion on Instagram, marketplaces, creators, and peer groups before they visit stores. A store-only fix will be incomplete.
Recommended solution:
60-second answer: “I would solve this as a relevance and channel problem. The retailer should not abandon loyal older customers, but create youth-facing capsules, omnichannel discovery, creator-led styling, and store experiences that make the brand feel current. I would track youth footfall, sell-through, online-to-store conversion, and repeat purchase.”
Case Study - Wakefit: From Mattress Seller to Sleep-and-Home Brand
Wakefit shows how a D2C brand can move beyond performance marketing by building a broader category position around sleep, comfort, and home solutions.
Situation: Mattress buying in India was traditionally offline, touch-and-feel driven, and dealer influenced. A D2C sleep brand had to solve trust, trial, delivery, returns, and product education - not merely run ads.
The move: Wakefit built its proposition around better sleep and value, supported by online discovery, customer reviews, easy comparison, delivery convenience, and category expansion into home and furniture. The primary driver was a sharper value proposition in an under-modernized category. Supporting drivers included D2C distribution, product education, customer feedback loops, and expanding beyond a single product into adjacent home needs.
Outcome or lesson: The strategic lesson is that a marketing case answer should identify the real adoption barrier. For mattresses, the barrier was not awareness alone; it was trust, trial risk, convenience, and proof. A complete answer would therefore combine positioning, channel, product experience, and post-purchase reassurance.
So what: In marketing cases, do not stop at “increase digital marketing.” Ask what is blocking adoption, then design the marketing mix to remove that block.
How AI Changes Marketing Case Drills
AI changes how you prepare for marketing cases, and it also changes the marketing levers inside the case.
- Sharper customer diagnosis: AI tools can synthesize reviews, Reddit threads, app-store comments, and social listening data to detect pain points, language, and objections. In a case, this helps you move from generic “customer insight” to specific hypotheses.
- Faster creative and channel testing: Marketers increasingly use AI to generate ad variants, landing-page copy, email subject lines, and product-page tests. The case implication: recommend test cells and success metrics, not one final campaign.
- Personalization at scale: AI improves recommendations, churn prediction, next-best offers, and customer segmentation. The risk is over-personalization, privacy concerns, and biased targeting, so mention governance when relevant.
Use ChatGPT or Claude as a case sparring partner: paste one of the prompts above, ask it to play interviewer, answer aloud, then ask for feedback on structure, missed metrics, and business realism. For company-specific prep, load the company website, annual report, and recent news into NotebookLM and ask: “Generate five marketing case questions this recruiter could ask and the data I should clarify first.”
Interview Relevance
“A D2C personal care brand has high website traffic but poor conversion and low repeat purchase. Diagnose the problem and recommend a marketing plan.”
Say your structure before diving in: “I’ll first diagnose whether this is a traffic, conversion, retention, or economics issue, then I’ll recommend levers and metrics.” That one sentence makes your answer sound controlled.
Common Mistake
Jumping straight to campaigns. Candidates often say “run influencer marketing” or “increase Instagram ads” before identifying the business problem. It costs them because the interviewer hears tactics without judgment. Fix: diagnose the funnel and economics first, then recommend the channel only if it solves the diagnosed bottleneck.
What to Revise Next
Next, revise Case Study: Solving a Marketing Case End-to-End. That is where you take one complete marketing problem, move from clarification to diagnosis to recommendation, and practise delivering a boardroom-ready answer under interview pressure.