Should Nasdaq prioritize expanding its market data offerings to attract more institutional clients or focus on simplifying data products for retail investors?

Introduction

The trade-off Nasdaq faces is whether to prioritize expanding market data offerings for institutional clients or simplify data products for retail investors. This decision involves balancing the needs of two distinct user segments while considering Nasdaq's strategic goals and market position. I'll analyze this trade-off by examining the product ecosystem, potential impacts, key metrics, and experimental approaches to inform a data-driven recommendation.

Step 1

Clarifying Questions (3 minutes)

• Based on recent market trends, I'm thinking there might be growing demand from retail investors. Could you share any data on the growth rates of institutional vs. retail segments in the past year?

Why it matters: Helps prioritize which segment offers more growth potential Expected answer: Retail segment growing faster but smaller overall volume Impact on approach: Would influence resource allocation between segments

• Considering our revenue model, I assume institutional clients generate significantly more revenue per user. Can you confirm the current revenue split between institutional and retail segments?

Why it matters: Clarifies the financial impact of focusing on each segment Expected answer: Institutional clients account for 80%+ of data product revenue Impact on approach: Would affect the risk assessment of simplifying retail offerings

• Looking at user behavior, I'm curious about the adoption rates of our current data products. What percentage of our total user base actively uses our advanced data offerings versus basic products?

Why it matters: Indicates potential for upselling or need for simplification Expected answer: Low adoption of advanced features among retail users Impact on approach: Could suggest a need for better onboarding or simpler products

• Regarding technical feasibility, I'm wondering about our current data infrastructure. How modular is our data architecture, and could we easily create simplified versions of our institutional products?

Why it matters: Determines the effort required to develop new retail-focused products Expected answer: Moderately flexible architecture with some legacy systems Impact on approach: Would influence timeline and resource requirements for product development

• Considering market competition, I'm thinking about our unique value proposition. How do our data offerings currently differentiate from competitors in both institutional and retail segments?

Why it matters: Helps identify areas of competitive advantage to leverage Expected answer: Strong in institutional depth, weaker in retail user experience Impact on approach: Would guide feature prioritization and marketing strategy