How can MakeMyTrip balance offering competitive pricing for flights against maintaining healthy profit margins?

Introduction

Balancing competitive pricing for flights against maintaining healthy profit margins is a critical challenge for MakeMyTrip. This trade-off directly impacts our ability to attract and retain customers while ensuring the financial sustainability of our business. I'll analyze this problem by examining our pricing strategy, profit structure, and market positioning, considering both short-term gains and long-term viability.

Step 1

Clarifying Questions (3 minutes)

• Context: I'm thinking about our current market position. Could you share our market share compared to major competitors in the flight booking space?

Why it matters: Helps determine pricing flexibility and competitive pressure Expected answer: 20-30% market share Impact on approach: Lower share might necessitate more aggressive pricing

• Business Context: Based on our revenue model, I assume we earn commissions from airlines. What's our typical commission structure?

Why it matters: Affects our pricing flexibility and profit margins Expected answer: 5-10% commission on ticket prices Impact on approach: Lower commissions would limit our ability to offer discounts

• User Impact: I'm curious about our user segments. What percentage of our users are price-sensitive versus those prioritizing convenience or loyalty programs?

Why it matters: Helps tailor pricing strategies to different user groups Expected answer: 60% price-sensitive, 40% convenience/loyalty-focused Impact on approach: Higher price sensitivity would push towards more competitive pricing

• Technical: Considering our pricing engine, how quickly can we implement dynamic pricing adjustments based on real-time demand and competitor data?

Why it matters: Determines our agility in responding to market changes Expected answer: Can adjust prices within 15-30 minutes Impact on approach: Faster adjustments allow for more responsive pricing strategies

• Resource: Regarding our data science team, do we have the capacity to develop and maintain sophisticated pricing algorithms?

Why it matters: Influences our ability to optimize pricing decisions Expected answer: Team of 5-7 data scientists available Impact on approach: Larger team enables more complex pricing models and analysis