What features could OYO Rooms add to its loyalty program to increase customer retention and repeat bookings?

Introduction

To improve OYO Rooms' loyalty program and increase customer retention and repeat bookings, we need to analyze the current program, identify pain points, and develop innovative features that align with user needs and business goals. I'll outline a strategic approach to enhance the loyalty program, focusing on key user segments and their specific requirements.

Step 1

Clarifying Questions (5 mins)

• Looking at OYO's market position, I'm thinking about the competitive landscape. Could you share insights on how our loyalty program compares to those of our main competitors, such as Airbnb or local hotel chains?

Why it matters: Helps identify gaps and opportunities in our offering Expected answer: OYO's program is basic compared to competitors, lacking personalization Impact on approach: Would focus on differentiation and unique value propositions

• Considering user behavior, I'm curious about the current engagement levels with the loyalty program. What percentage of our users are active members, and what's the average frequency of bookings for loyalty program members versus non-members?

Why it matters: Determines the potential impact of improving the loyalty program Expected answer: 30% of users are active members, booking 2x more frequently than non-members Impact on approach: Would prioritize features that drive program adoption and increase booking frequency

• Thinking about OYO's business model, I'm wondering about the balance between acquisition and retention. What's our current customer acquisition cost (CAC) compared to the lifetime value (LTV) of loyalty program members?

Why it matters: Helps determine the investment potential in loyalty features Expected answer: LTV of loyalty members is 3x higher than non-members, with a 20% lower CAC Impact on approach: Would focus on high-value features that significantly impact LTV

• Considering OYO's tech stack, I'm curious about our data capabilities. What kind of user data do we currently collect and analyze to personalize the loyalty program experience?

Why it matters: Determines the feasibility of implementing advanced personalization features Expected answer: Basic booking history and preferences, limited predictive analytics Impact on approach: Would prioritize building a robust data infrastructure alongside new features