A major travel operator asked Marketways to improve guest value across a journey owned by several departments and partners. The guest experienced one journey, while failures, recovery and loyalty decisions were fragmented internally. We connected experience evidence with operational reliability and the moments most likely to shape trust and repeat behaviour.
The engagement objective
Through the initial discovery, Marketways defined the objective: coordinate experience, service recovery, loyalty and operational reliability.
How Marketways translated the problem
We began with a practical question: Where does the experience break across booking, arrival, stay, travel and recovery? The first analysis used journey events, feedback, complaints, recovery, loyalty and operations.
That evidence could not be read in isolation. Partners and departments own different stages, while the guest experiences one journey. Frequent use, high spend and true incremental loyalty are not equivalent.
An overall satisfaction score would have averaged away the moments where trust was won or lost. We connected experience evidence to the operating event and recovery decision that the organisation could change.
We did not judge each component by its isolated KPI. We examined how people, assets, decisions and constraints affected one another, then used the evidence to test whether an apparent improvement would strengthen the complete system or merely move cost, pressure or risk elsewhere.
How the engagement developed
The initial work on end-to-end guest journey exposed dependencies with loyalty and ancillary-value design, airport, hotel and attraction asset reliability. Treating them as separate recommendations would have left the operating trade-offs unresolved.
- End-to-end guest journey: Focus improvement on moments that shape trust and repeat behaviour.
- Loyalty and ancillary-value design: Develop relevant propositions for distinct traveller and guest needs.
- Airport, hotel and attraction asset reliability: Prioritise maintenance around operational consequence.
Evidence we examined
- Journey events, feedback, complaints, recovery, loyalty and operations.
- Bookings, stays, trips, ancillaries, redemptions, experience and treatments.
- Condition, alarms, work orders, utilisation, incidents and service impact.
Industry conditions we accounted for
- Partners and departments own different stages, while the guest experiences one journey.
- Frequent use, high spend and true incremental loyalty are not equivalent.
- Failure consequence changes with occupancy, flight waves, redundancy and access windows.
How our engagement contributed to business impact
We connected every method to a decision and a business measure. The organisation could assess the engagement through operating results as well as model performance.
- End-to-end guest journey
- Method: Market, Customer & Behavioural Analytics, Process, Workflow & Systems.
- Evidence: Journey events, feedback, complaints, recovery, loyalty and operations.
- Decision supported: Focus improvement on moments that shape trust and repeat behaviour.
- Impact measure: Effort, resolution, repeat intent and failure recurrence.
- Loyalty and ancillary-value design
- Method: Market, Customer & Behavioural Analytics, Statistics & Econometrics.
- Evidence: Bookings, stays, trips, ancillaries, redemptions, experience and treatments.
- Decision supported: Develop relevant propositions for distinct traveller and guest needs.
- Impact measure: Incremental value, adoption, repeat and proposition clarity.
- Airport, hotel and attraction asset reliability
- Method: Machine Learning & Predictive Analytics, Forecasting, Risk & Optimisation.
- Evidence: Condition, alarms, work orders, utilisation, incidents and service impact.
- Decision supported: Prioritise maintenance around operational consequence.
- Impact measure: Availability, service disruption, maintenance efficiency and safety.
Implementation
The engagement was structured as journey diagnostic and targeted pilots. We connected the analysis to the decisions, operating constraints and measures that the organisation would continue to use.
How success was assessed
The overall assessment considered repeat value, fewer failures and dependable service. The supporting measures included:
- Effort, resolution, repeat intent and failure recurrence.
- Incremental value, adoption, repeat and proposition clarity.
- Availability, service disruption, maintenance efficiency and safety.
Services and methods used
Services: Customer Satisfaction & Experience Research, Process & Workflow Analysis & Redesign, Product & Concept Testing, Opportunity Discovery, Predictive Maintenance & Reliability, Risk Detection.
Methods: Market, Customer & Behavioural Analytics, Process, Workflow & Systems, Statistics & Econometrics, Machine Learning & Predictive Analytics, Forecasting, Risk & Optimisation.