Hotel Data

Background

The hotel industry serves as a cornerstone of global travel and tourism, making hotel data essential for understanding demand patterns, pricing trends, and customer preferences. Comprehensive datasets covering occupancy rates, revenue insights, and customer sentiment empower financial analysts, travel platforms, and marketers to forecast trends, optimize pricing strategies, and adapt to shifting consumer behavior. This data is in high demand as stakeholders strive to make informed decisions in a highly competitive and dynamic market.

Why It’s Valuable

• Revenue Optimization: Dynamic pricing and ADR trends help hotels maximize revenue.

• Consumer Insights: Occupancy, booking preferences, and sentiment data reveal key customer behavior.

• Competitive Edge: Market share and competitor analysis enable informed strategic decisions.

• Economic Indicators: Hotel performance provides a lens into broader economic and travel trends.

Requested Data

The specific data types, insights, and signals requested by the buyer. As a data vendor, you only need to supply the raw data for one or more. You can use Tiki to create and deliver the requested insights and signals from your raw data.

• Demand and Booking Trends

  • Occupancy rates for specific hotels, regions, or market segments.

  • Booking windows showing how far in advance customers book.

  • Patterns of cancellations and rebookings, along with room type preferences by segment.

• Pricing and Revenue Insights

  • Average Daily Rate (ADR) and Revenue per Available Room (RevPAR) trends.

  • Real-time dynamic pricing data based on demand, events, or seasons.

  • Insights into discounts and packages and their impact on demand.

• Geographic and Competitive Market Insights

  • Hotel market share data and performance segmented by region.

  • Real-time and historical competitor pricing analysis.

• Customer Behavior and Sentiment

  • Guest demographics such as age, nationality, and income level.

  • Sentiment analysis from reviews and social media mentions.

  • Brand loyalty and customer retention trends, including loyalty program usage.

• External Event Correlations

  • Event-driven bookings and correlations with major conferences, concerts, and sports events.

  • Impacts of macro events like pandemics or economic shifts on travel behavior.

• Channel and Marketing Insights

  • Data on booking sources (e.g., OTAs, direct bookings, corporate channels).

  • Marketing campaign effectiveness and their influence on bookings.

• Long-Term Trends and Indicators

  • Construction and development data on new hotel openings.

  • Sustainability metrics and ESG practices in the hotel industry.

  • Alternative accommodation trends, such as the effect of platforms like Airbnb.

Buyer Interest

The types of data buyers who have expressed interest to Tiki and their respective use cases for this data. If you have the data required for this request, Tiki will introduce you to the buyer(s).

• Hedge Funds and Quant Firms: Using hotel data as an indicator of economic health and market performance.

• Hospitality and Travel Platforms: Optimizing pricing strategies, improving customer retention, and staying competitive.

• Event Organizers and Tourism Boards: Understanding hotel demand patterns driven by events and regional travel trends.