The Journey Behind the Journey: Customer Journey Mapping in Travel

Planning a trip is often a mix of anticipation, excitement, and occasionally frustration. Companies looking to remove friction and pain points during a customer’s interactions with them during the travel process can turn to customer journey mapping. I recently became CX-PRO certified and one of the classes’ activities centered around multiple teams each creating a journey map for taking a trip, starting from researching vacation locations to boarding the plane. The similarities in the planning process were striking; however, it was clear to see how disparate each part of the process was, in addition to the added complication of what persona was traveling—business traveler, friends weekend participant, family vacation, etc. And this did not even consider the technologies that were potentially “touched” during this planning process. I recently traveled to my preferred airport and mapped out just that slice of my planning process—transport and arrival at the airport for a personal trip with a child.

Source: Dash Research

There is nothing too dramatic in this mini process within a larger journey, but it does demonstrate the many touchpoints along the way during a seemingly simple activity. Multiple CX technologies were in play, mainly digital channels, such as websites, apps, and push notifications, but reputation management also was tapped into when looking at review sites, as well as social media. There were areas of friction (parking lot website), but also areas of unexpected ease (changing a flight in 5 minutes with no charge). By employing CX technology, such as journey mapping, some pain points could have been identified and potentially eliminated for myself, as well as future customers. Traveling during the uncertainty of the COVID-19 pandemic will continue to be stressful, and customer journey mapping will be a critical tool for travel-related companies to employ as travelers seek to smooth out their CX.

Author Information

As a detail-oriented researcher, Sherril is expert at discovering, gathering and compiling industry and market data to create clear, actionable market and competitive intelligence. With deep experience in market analysis and segmentation she is a consummate collaborator with strong communication skills adept at supporting and forming relationships with cross-functional teams in all levels of organizations.

Sherril holds a Master of Business Administration in Marketing from University of Colorado, Boulder and a Bachelor of Arts in Psychology from Rutgers University.

Latest Insights:
Will Edison International’s Board Refresh Accelerate Its AI and Digital Ambitions?
April 25, 2026

Will Edison International’s Board Refresh Accelerate Its AI and Digital Ambitions?

Edison International appoints M. Susan Hardwick as independent director, strengthening the utility's leadership as it confronts mounting pressure to modernize operations and leverage AI-driven infrastructure solutions....
Will GPT-5.5 Redefine Enterprise AI, or Hit the Limits of Trust and Control?
April 25, 2026

Will GPT-5.5 Redefine Enterprise AI, or Hit the Limits of Trust and Control?

OpenAI's GPT-5.5 launches as a transformative enterprise AI platform, yet adoption barriers around trust, reliability, and data privacy remain critical concerns for 78% of organizations planning AI budget increases....
GPT-5.5 Raises the Stakes: Can OpenAI Maintain Its Lead as Enterprise AI Matures?
April 25, 2026

GPT-5.5 Raises the Stakes: Can OpenAI Maintain Its Lead as Enterprise AI Matures?

OpenAI's GPT-5.5 launch marks a critical moment in enterprise AI adoption. With 68% of organizations at advanced GenAI stages, competition from Microsoft and Google intensifies as buyers prioritize reliability and business value....
Can IBM's RITS Platform and vLLM Reset the Bar for Enterprise AI Access?
April 25, 2026

Can IBM’s RITS Platform and vLLM Reset the Bar for Enterprise AI Access?

IBM Research's RITS Platform uses vLLM to centralize large language model access across enterprise teams, signaling a shift toward scalable, governed AI infrastructure that balances innovation, cost, and control....
Latest Research:
Closing the AI Confidence Gap: Cloud-Native Security as a Key to Agentic AI Adoption
April 23, 2026

Closing the AI Confidence Gap: Cloud-Native Security as a Key to Agentic AI Adoption

In our latest market report, Closing the AI Confidence Gap: Cloud-Native Security as a Key to Agentic AI Adoption, completed in partnership with Google Cloud, Futurum Research explores how enterprises...
Gemini Enterprise: Governing and Scaling the Agentic Enterprise
April 23, 2026

Gemini Enterprise: Governing and Scaling the Agentic Enterprise

In our latest market report, Gemini Enterprise: Governing and Scaling the Agentic Enterprise, completed in partnership with Google Cloud, Futurum Research examines the operational, governance, and lifecycle requirements for scaling...
Data Fitness for AI-Driven Operations
April 20, 2026
Research
Research

Data Fitness for AI-Driven Operations

In our latest market brief, Data Fitness for AI-Driven Operations, completed in partnership with NETSCOUT, Futurum Research explores why observability alone is insufficient as AI moves toward autonomous execution, and...

Book a Demo

Newsletter Sign-up Form

Get important insights straight to your inbox, receive first looks at eBooks, exclusive event invitations, custom content, and more. We promise not to spam you or sell your name to anyone. You can always unsubscribe at any time.

All fields are required






Thank you, we received your request, a member of our team will be in contact with you.