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Tourism Intelligence: Using Data and Analytics to Grow Destinations MTA
Practical methods for visitor analytics, forecasting, and performance dashboards
2nd Edition

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About this book:

Tourism Intelligence: Using Data and Analytics to Grow Destinations *Tourism Intelligence: Using Data and Analytics to Grow Destinations* provides a strategic and technical roadmap for Destination Marketing and Management Organizations (DMOs) to transition from intuitive decision-making to data-driven governance. The book argues that modern tourism is a data-rich but decision-poor industry, requiring a "Tourism Intelligence" framework that synthesizes disparate signals—such as mobile location pings, booking feeds, and social listening—into actionable insights. By establishing a robust data architecture and adhering to "privacy by design" principles, DMOs can effectively balance economic growth with environmental sustainability and community wellbeing.

The text details specific methodologies for analyzing various facets of the visitor journey. It explores the use of mobile network data for spatial analytics and capacity management, alongside transactional data from hotels and point-of-sale systems to build a "demand backbone." The book also emphasizes the importance of advanced modeling techniques, including time-series forecasting (SARIMAX) and marketing analytics (attribution and incrementality). These tools allow DMOs to quantify the impact of exogenous variables like weather, exchange rates, and major events, enabling proactive scenario planning and the establishment of early-warning systems for destination management.

Beyond technical implementation, the book stresses the necessity of a collaborative operating model. Since DMOs rarely own the data they need, they must act as "data brokers," creating value-exchange partnerships with hotels, OTAs, and local businesses. This ecosystem-wide approach is supported by the design of tiered KPI dashboards that translate complex analytics into simple visualizations for different stakeholders. By aligning these insights with a performance management cadence of OKRs and regular reviews, DMOs can optimize their marketing spend, enhance visitor experiences, and maintain their social license to operate.

Ultimately, the book positions Tourism Intelligence as an essential discipline for the "new tourism" era, where destinations must compete for high-yield visitors while protecting local resources. It provides a comprehensive guide to building a multidisciplinary team—comprising data engineers, scientists, and storytellers—to foster an organizational culture of accountability and continuous learning. By turning raw data into strategic foresight, DMOs can move from reactive marketing to proactive destination stewardship, ensuring long-term resilience and prosperity for both travelers and host communities.

What You'll Find Inside:
  • Practical methods for building a destination data strategy, including stakeholder engagement, data acquisition, and creating unified data pipelines from disparate sources
  • Comprehensive guidance on tourism-specific forecasting techniques, scenario planning, and early warning systems that incorporate exogenous variables like events, weather, and macroeconomic factors
  • Detailed approaches to visitor segmentation, persona development, and spatial analytics for understanding visitor flows, hotspots, and capacity management
  • Marketing analytics frameworks covering attribution modeling, marketing mix modeling, and incrementality testing to prove marketing ROI and optimize spend
  • Implementation guidance for privacy-by-design data governance, ethics frameworks, and sustainable tourism metrics that balance economic growth with community wellbeing
Who's It For:

This book is specifically designed for Destination Marketing and Management Organization (DMO) professionals, tourism board executives, and destination managers who need to leverage data analytics for strategic decision-making. It will be most valuable for those responsible for developing data strategies, managing partnerships with hotels/OTAs/attractions, creating performance dashboards, and implementing data-driven marketing campaigns. The content is tailored for professionals seeking to transform their organizations from data-rich but decision-poor entities into intelligent, proactive destination management organizations that can attract the right visitors, enhance experiences, and grow sustainably.

Author:

Walter Dixon

Published By:

MixCache.com


Date Published:

February 4, 2026

Word Count:

49,775 words

Reading Time:

3 hours 29 minutes

Sample:

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