PhonePe vs. Google Pay: UPI War - Interactive Case Interview

PhonePe vs. Google Pay: UPI War

RK
Rajesh Kumar
Senior Partner, Digital Strategy

Client Context

Our client is PhonePe, one of India's leading digital payment platforms and a major player in the UPI (Unified Payments Interface) ecosystem. Founded in 2015 and acquired by Flipkart (now part of Walmart), PhonePe has been in an intense competitive battle with Google Pay for market dominance.

Key Business Metrics

Metric PhonePe Google Pay Paytm Others
Market Share (Q4 2024) 48.3% 37.2% 8.5% 6.0%
Monthly Active Users 185M 142M 32M 23M
Avg. Transactions/User/Month 42 38 28 15
Customer Acquisition Cost ₹85 ₹120 ₹150 ₹200

The Challenge

Despite maintaining market leadership, PhonePe faces several strategic challenges:

  • Google Pay's aggressive cashback strategy is attracting price-sensitive users
  • User retention rates have declined from 78% to 71% over the past 6 months
  • The UPI ecosystem's zero MDR (Merchant Discount Rate) policy limits direct revenue opportunities
  • Rising customer acquisition costs are pressuring profitability

The CEO has asked you to develop a comprehensive competitive strategy to maintain market leadership and improve user retention while building sustainable revenue streams.

Select Your Framework

Competitive Dynamics Analysis
Analyze competitive forces, strategic moves, and counter-strategies in the two-player dominant market
Customer Value Proposition
Focus on user needs, pain points, and value creation to drive retention and engagement
Ecosystem Strategy
Explore platform expansion, partnerships, and adjacent services for competitive advantage

Information Gathering

You have the opportunity to ask clarifying questions. Choose wisely - each question will reveal different data and insights.

What are the key user segments and their behavior patterns?
How does PhonePe generate revenue given the zero MDR on UPI?
What's driving the decline in user retention rates?
How do PhonePe's features compare to Google Pay's offerings?
What's the status of merchant adoption and engagement?
Questions remaining: 3

Quantitative Analysis

Analyze the data to identify key insights. Use the calculator for any computations.

Exhibit A: User Cohort Analysis

Cohort Month Users Acquired Month 1 Retention Month 3 Retention Month 6 Retention LTV (₹)
July 2024 2.5M 85% 72% 61% 425
August 2024 2.8M 83% 69% 58% 398
September 2024 3.1M 80% 65% 54% 365
October 2024 3.5M 77% 62% - -

Exhibit B: Revenue Streams Analysis

Exhibit C: Competitive Feature Comparison

Feature/Metric PhonePe Google Pay Gap
Cashback per Transaction ₹2-5 ₹5-20 -75%
Merchant Integrations 25M 18M +39%
Bill Payment Categories 120+ 85+ +41%
Investment Products Yes Limited Advantage
Insurance Products Yes No Advantage

Analysis Calculator

Result will appear here

Key Analysis Questions

1. What is the projected revenue impact of the declining retention rate?

2. What's the ROI of matching Google Pay's cashback strategy?

3. Which revenue streams show the most growth potential?

Qualitative Insights

Based on your analysis, synthesize the key strategic insights and prioritize initiatives.

Insight Synthesis

From your analysis, identify the 3 most critical insights:

Strategic Options

Super App Strategy
Leverage high MAU to cross-sell financial services and become a one-stop financial platform
Merchant Lock-in
Build exclusive merchant partnerships and unique payment experiences
High-Value User Focus
Target premium segments with wealth management and credit products
Engagement Gamification
Build loyalty through rewards, streaks, and social features

Priority Matrix

Rank the strategic options by Impact (High/Medium/Low) and Feasibility (High/Medium/Low)

Final Recommendation

You have 60 seconds to present your recommendation to the CEO. Structure it clearly and support with data.

1. Recommendation Summary

2. Key Actions (3 main initiatives)

3. Expected Impact

4. Implementation Risks & Mitigation

Case Complete!

85
out of 100 points
Structuring
18/20
Information Gathering
12/15
Quantitative Analysis
25/30
Qualitative Insights
17/20
Recommendation
13/15

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