How should The Co-operators balance offering lower auto insurance premiums to attract new customers versus maintaining profitability on existing policies?

Introduction

The Co-operators faces a critical trade-off between offering lower auto insurance premiums to attract new customers and maintaining profitability on existing policies. This scenario presents a classic product strategy challenge that requires careful consideration of short-term growth versus long-term sustainability.

In addressing this trade-off, I'll analyze the key aspects of The Co-operators' auto insurance product, evaluate potential impacts on various stakeholders, and propose a data-driven approach to find the optimal balance. My response will cover clarifying questions, product understanding, hypothesis formulation, metrics identification, experiment design, data analysis, decision framework, and final recommendations.

Step 1

Clarifying Questions (3 minutes)

• Based on the competitive landscape, I'm thinking this trade-off might be driven by market pressure. Could you provide more context on The Co-operators' current market position and any recent shifts in the auto insurance industry?

Why it matters: Helps understand the urgency and strategic importance of this decision. Expected answer: Increased competition from digital-first insurers is putting pressure on traditional players. Impact on approach: Would influence the aggressiveness of our pricing strategy and the need for digital transformation.

• Considering our business model, I assume we're looking at a mix of direct and broker-sold policies. What's the current split between these channels, and how might this trade-off impact each differently?

Why it matters: Different acquisition channels may have varying price sensitivities and customer lifetime values. Expected answer: 60% broker-sold, 40% direct, with direct growing faster. Impact on approach: Would tailor pricing strategies and customer retention efforts by channel.

• From a user perspective, I'm curious about our customer segments. Can you share insights on which segments are most price-sensitive versus those who prioritize coverage or service?

Why it matters: Helps target lower premiums to segments where it will have the most impact. Expected answer: Younger drivers and urban residents are more price-sensitive. Impact on approach: Would consider segment-specific pricing and marketing strategies.

• Regarding technical feasibility, does our current pricing engine allow for dynamic, personalized pricing? How granular can we get with our premium adjustments?

Why it matters: Determines the level of sophistication possible in our pricing strategy. Expected answer: Current system allows for some personalization, but there are limitations. Impact on approach: Might need to factor in technical upgrades or workarounds in our solution.

• Looking at resources, what's our current capacity for customer acquisition and onboarding? How would a significant influx of new customers impact our operations?

Why it matters: Ensures we can handle the potential growth without compromising service quality. Expected answer: Some capacity constraints in customer service during peak periods. Impact on approach: Would need to balance growth with operational capabilities and potentially include operational scaling in our plan.