Digital Hospitality Management Training Course

Participants can map a target guest journey and prioritise digital experience improvements.

• Persona development using stay purpose, booking behaviour and service expectations
• Journey mapping across search, booking, pre-arrival, stay and post-stay touchpoints
• Moments of truth identified through guest feedback and operational observations
• Service blueprinting connects guest actions, staff tasks and supporting systems
• Friction audit identifies abandonment, waiting, repetition and unclear information
• Prioritisation matrix scores journey improvements by impact, effort and operational risk

Participants can define responsible guest-data practices for marketing and service operations.

• Guest data inventory covering identity, preference, transaction and behavioural records
• GDPR lawful bases distinguished for marketing, service fulfilment and analytics
• Consent capture design for email, SMS, cookies and preference centres
• Data minimisation applied to registration, loyalty and pre-arrival forms
• Master guest profile matching rules reduce duplicate and fragmented records
• Retention schedules assign deletion, anonymisation and access-review responsibilities

Participants can assess distribution architecture and define channel-control rules for a property.

• Distribution map connects PMS, CRS, GDS, OTAs and booking engine
• Channel manager configuration controls availability, restrictions and room-content updates
• Rate plans structured by market segment, cancellation terms and inclusions
• Inventory allocation rules protect direct demand during compression periods
• Rate parity monitoring distinguishes justified differences from configuration errors
• Channel governance assigns approval rights for promotions, content and connectivity changes

Participants can choose distribution actions using demand contribution and acquisition-cost analysis.

• Channel cost calculation includes commission, payment fees, discounts and technology charges
• Net RevPAR compares channel contribution after variable distribution costs
• Market segmentation separates transient, group, corporate and wholesale demand
• Channel mix targets set by demand period, property type and strategy
• Displacement analysis compares lower-rated demand against forecasted higher-value bookings
• Wholesaler and OTA contracts reviewed for allotments, clauses and parity obligations

Participants can apply revenue-management controls to online demand and booking patterns.

• ADR, occupancy, RevPAR and GOPPAR calculated from property performance data
• Booking pace analysis compares current pickup against historical booking curves
• Length-of-stay controls use minimum stay, closed arrival and closed departure
• Forecast assumptions incorporate events, seasonality, cancellations and competitor pricing
• Rate fences protect value through conditions, packages and advance-purchase rules
• Revenue meeting cadence aligns forecast, pricing, inventory and campaign decisions

Participants can create guest segments and lifecycle communications from usable CRM data.

• RFM analysis classifies guests by recency, frequency and monetary value
• Segment rules combine stay history, preference, source market and consent
• Lifecycle messaging covers confirmation, pre-arrival, in-stay, post-stay and win-back
• Triggered communications respond to booking, cancellation, arrival and loyalty events
• Suppression rules prevent duplicate messages, unsuitable offers and consent breaches
• Guest lifetime value estimates inform retention investment and service prioritisation

Participants can diagnose booking-funnel losses and specify improvements to direct booking paths.

• Booking funnel analysis measures search, availability, selection, payment and confirmation stages
• Conversion rate calculation distinguishes sessions, booking starts and completed reservations
• Landing-page hierarchy aligns guest intent, offer detail and booking call-to-action
• Mobile usability checks assess loading speed, forms, navigation and payment friction
• A/B test hypotheses define audience, variable, success metric and decision rule
• Abandoned-booking recovery messages apply timing, consent and rate-integrity controls

Participants can plan content that supports property positioning, demand periods and guest information needs.

• Content pillars connect property experiences, local demand drivers and audience segments
• Editorial calendar schedules seasonal offers, events, restaurant promotions and guest stories
• User-generated content permissions managed through documented consent and attribution procedures
• Visual content briefs specify audience, message, format, asset and approval route
• Social listening identifies recurring questions, sentiment shifts and competitor activity
• Community management standards define response tone, escalation and response-time targets

Participants can manage review performance and respond to public service failures appropriately.

• Review-platform monitoring captures volume, rating, themes and response-time performance
• Sentiment coding categorises feedback by room, food, staff, cleanliness and value
• Service recovery model uses acknowledge, apologise, act, assure and document
• Public review responses protect privacy while addressing specific service concerns
• Root-cause analysis links recurring complaints to process, training and supplier issues
• Reputation dashboard tracks rating trends, response compliance and issue closure

Participants can plan and evaluate paid digital campaigns against booking and revenue objectives.

• Campaign objectives distinguish awareness, qualified traffic, bookings and remarketing outcomes
• Keyword structure separates branded, generic, destination and competitor-search intent
• Metasearch bidding decisions compare visibility, cost per booking and net revenue
• UTM naming convention standardises source, medium, campaign and content reporting
• Attribution models compare last-click, first-click and assisted-conversion interpretations
• Budget pacing adjusts spend using booking windows, demand signals and conversion data

Participants can design automation workflows that improve service consistency without removing human judgement.

• Pre-arrival automation collects arrival time, preferences and transport requirements
• Chatbot triage routes routine questions, urgent requests and complex service cases
• Knowledge-base articles standardise answers for amenities, policies and local recommendations
• Workflow triggers create tasks for housekeeping, maintenance, concierge and front office
• Escalation thresholds define when automation transfers conversations to named staff
• Service quality checks test accuracy, tone, timeliness and exception handling

Participants can evaluate mobile and contactless service options against guest and operational needs.

• Mobile check-in workflow maps identity checks, payment authorisation and key issuance
• Digital key controls address device compatibility, access expiry and incident logging
• QR-code service journeys balance convenience, accessibility and information accuracy
• In-stay messaging prioritises response ownership, handovers and service-level targets
• Contactless payment requirements reviewed against PCI DSS responsibilities and guest trust
• Technology adoption criteria compare guest value, integration effort, cost and support

Participants can define decision-ready KPIs from hospitality commercial and operational data.

• KPI tree links business goals with demand, conversion, revenue and service measures
• Data dictionary defines metric formula, source, owner, frequency and limitations
• GA4 events configured conceptually for search, booking start, purchase and errors
• PMS and CRS extracts reconciled against booking-engine and channel-manager records
• Cohort analysis compares repeat behaviour by acquisition period and guest segment
• Variance analysis explains performance against budget, forecast, prior year and target

Participants can produce concise digital performance reports that support management decisions.

• Executive dashboard design prioritises exceptions, trends, actions and accountable owners
• Daily trading report combines pickup, cancellations, channel mix and rate movements
• Weekly digital review connects campaign results, conversion, reputation and service issues
• Funnel visualisation highlights drop-off patterns by device, market and traffic source
• Narrative reporting distinguishes observation, interpretation, recommendation and decision requested
• Management meeting pack assigns actions, deadlines, assumptions and follow-up measures

Participants can identify priority digital risks and assign practical hospitality control measures.

• PCI DSS responsibilities mapped across booking, payment gateway and property systems
• Phishing controls cover staff awareness, verification procedures and incident reporting
• Role-based access limits PMS, CRM and channel-management permissions by job need
• Vendor risk assessment reviews data processing, uptime, support and breach notification
• Incident response plan defines containment, guest communication, evidence and recovery
• Business continuity procedures address reservation outages, payment failure and network loss

Participants can prepare a realistic implementation plan for digital process and system changes.

• Stakeholder analysis identifies sponsors, users, resisters, decision makers and affected teams
• Process mapping documents current state, failure points, controls and handoffs
• Future-state design specifies policy changes, system requirements and service standards
• Change impact assessment covers roles, skills, workload, incentives and communications
• Training matrix assigns role-specific capability, format, timing and proficiency evidence
• Implementation governance uses milestones, risk register, issue log and benefits tracking

Participants can prioritise digital initiatives and justify investment with measurable commercial benefits.

• Opportunity backlog captures conversion, revenue, service, data and risk improvements
• Impact-effort matrix ranks initiatives by expected value, complexity and dependencies
• Business case quantifies incremental bookings, margin, costs, risks and assumptions
• Baseline measurement establishes current conversion, channel cost and guest-service performance
• Test-and-learn cycle defines hypothesis, intervention, measurement period and decision criteria
• Ninety-day roadmap sequences quick wins, foundational work and longer-term investments

Participants can build, review and present a complete digital hospitality operating plan for a selected business.

• Business brief defines property context, target guests, objectives and operating constraints
• Guest journey map identifies priority friction points and service improvement actions
• Distribution and revenue plan specifies channel rules, pricing controls and targets
• CRM and campaign plan defines segments, messages, budget and measurement
• KPI dashboard presents baseline, targets, reporting cadence and accountable owners
• Risk and governance checklist covers privacy, payments, access and supplier controls
• Ninety-day roadmap sequences actions, dependencies, resources, milestones and decision gates
• Executive presentation communicates recommendations, expected benefits, risks and implementation priorities