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Pricing
Product Management Trade-off Question: Personalized recommendations versus bulk pricing negotiations for travel bookings

Is it better for Traveloka to invest in personalized recommendations or focus on reducing prices through bulk negotiations with suppliers?

Product Trade-Off Hard Member-only
Strategic Decision Making Data Analysis Experimentation Design Travel E-commerce Technology
User Experience Product Strategy Personalization Travel Tech Pricing Optimization

Introduction

The trade-off between investing in personalized recommendations or focusing on reducing prices through bulk negotiations with suppliers is a critical decision for Traveloka. This scenario involves balancing user experience enhancement against cost reduction strategies. I'll analyze this trade-off by examining the product context, potential impacts, key metrics, and experimental approaches to inform a strategic recommendation.

Analysis Approach

I'd like to outline my approach to ensure we're aligned on the key areas I'll be covering in my analysis.

Step 1

Clarifying Questions (3 minutes)

  • Business Context: I'm thinking Traveloka's current revenue model might influence this decision. Could you share how our revenue is split between commissions and direct bookings?

Why it matters: Helps determine which strategy aligns better with our primary revenue streams. Expected answer: Majority from commissions, with growing direct bookings. Impact on approach: Higher commission reliance might favor personalization for increased bookings.

  • User Impact: Based on user behavior, I'm assuming we have distinct user segments. Can you confirm if we've identified clear user personas with different price sensitivities?

Why it matters: Informs whether a one-size-fits-all approach or targeted strategies are more appropriate. Expected answer: Yes, we have 3-4 main user personas with varying price sensitivities. Impact on approach: Multiple personas would suggest a need for both personalization and competitive pricing.

  • Technical Feasibility: Considering our current tech stack, I'm curious about our recommendation engine's maturity. How advanced is our current personalization technology?

Why it matters: Determines the level of investment needed for effective personalization. Expected answer: Basic recommendation system in place, but significant room for improvement. Impact on approach: Less mature system might require higher initial investment but could yield substantial long-term benefits.

  • Resource Allocation: Given the potential scale of either initiative, I'm wondering about our team structure. How are our product and engineering teams currently organized?

Why it matters: Helps assess our capacity to execute on either strategy effectively. Expected answer: Cross-functional teams with some specialization in pricing and user experience. Impact on approach: Balanced team structure might allow for parallel pursuit of both strategies to some degree.

  • Timeline and Urgency: Considering market dynamics, I'm thinking about competitive pressures. How urgent is the need to implement one of these strategies?

Why it matters: Influences the prioritization and potential phasing of the chosen approach. Expected answer: Increasing competition necessitates action within the next 6-12 months. Impact on approach: Short timeline might favor focusing on one strategy initially, with plans to incorporate the other later.

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