EY Consultant Builds a Framework for a Pricing Consulting Case Question #shorts

Why It Matters

Understanding this structured framework helps revenue managers quickly identify and address pricing or occupancy issues, protecting profitability in volatile seasonal markets.

Key Takeaways

• Assess current and projected revenue to determine target miss.
• Diagnose revenue gaps via pricing elasticity and occupancy constraints.
• Examine room mix, price thresholds, and seasonal demand factors.
• Evaluate channel visibility and booking‑curve monitoring for occupancy issues.
• Implement automated pricing tools and adjust targets for future seasons.

Summary

The video presents an EY consultant’s three‑step framework for a pricing‑case interview, centered on a hotel’s February revenue target. First, the analyst quantifies revenue to date, bookings for the final week, and remaining room inventory to gauge whether the target will be missed.

If a shortfall appears, the diagnosis splits into pricing and occupancy drivers. Pricing considerations include elasticity, price thresholds, and room‑type mix, while occupancy factors cover construction‑related room loss, seasonal demand, and channel visibility on booking platforms.

The consultant illustrates the approach with concrete examples: “prices may be held too high, causing elasticity loss,” and “dropping off the first search page can dramatically reduce bookings.” He also references personal experience in the Czech Republic to underscore channel importance.

Implications for practitioners are clear: monitor booking curves closely, leverage automated revenue‑management tools, and adjust targets for seasonal fluctuations. By systematically testing hypotheses and refining pricing or distribution tactics, hotels can mitigate future revenue gaps.

Original Description

#consulting #mckinsey #bcg #bain #pricingstrategy #pricing