Biggest Airbnb Update EVER - What you need to know

Get Paid For Your Pad
Published: May 28, 2021
Pricing & Profitability

Summary

This article from Get Paid For Your Pad dives into essential strategies for STR revenue management, emphasizing the importance of scheduled routines, data-driven booking reviews, and understanding booking windows. It also covers CEO focus in scaling an STR business, highlighting how to avoid overwhelm and prioritize tasks. Lastly, it contrasts hotel and Airbnb revenue management, discussing the complexities of STR pricing and the impact of the FIFA World Cup on STR demand.

Key Insights

  • Cities hosting FIFA World Cup matches will likely experience varying levels of ADR lift; smaller markets like Kansas City, Boston, Seattle, and Philadelphia may outperform larger cities.
  • Early bookings can indicate underpricing or upcoming events, and consistent routines matter more than any single pricing rule.
  • STR pricing is dramatically harder than hotel pricing due to product uniqueness and operational constraints, making it crucial to stay tightly connected to operations for accurate pricing.

Action Items

  • Prepare for the booking surge from the 2026 FIFA World Cup and understand which cities are positioned for major revenue gains.
    Effort: medium
    Impact: high
  • Review bookings daily and weekly to reveal pricing and demand signals, and adjust pricing accordingly.
    Effort: low
    Impact: medium
  • Identify bottlenecks in your STR business to understand the real problems and avoid chasing "squirrels".
    Effort: medium
    Impact: high

Tools & Resources

  • Freewyld Foundry: Get a Free Revenue Review from Freewyld Foundry(https://www.freewyldfoundry.com/report)
  • Freewyld Foundry: Learn more about Freewyld Foundry(https://www.freewyldfoundry.com/)

Common Mistakes

  • Trying to fix everything at once slows growth in an STR business.
  • Most STR operators underperform not because they lack tools, but because they don’t know what to look at, when to look at it, or how to interpret booking behavior.

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