Understanding the Visitor Economy: How DMOs Measure and Communicate Economic Impact

Tourism's economic impact is both the DMO's strongest argument for funding and one of the hardest things to measure accurately. Unlike a factory that reports output or a retailer that counts transactions, the visitor economy distributes spending across hundreds of independent businesses — hotels, restaurants, attractions, shops, transport providers — making aggregation complex.

Yet economic impact measurement is essential. Without it, DMOs cannot justify their budgets, government cannot assess tourism policy, and communities cannot evaluate whether tourism's benefits outweigh its costs.

The Visitor Economy Explained

Direct, Indirect, and Induced Impact

Tourism's economic contribution operates at three levels:

The multiplier effect: WTTC analysis shows that for every £1 spent directly by a visitor, an additional £0.50-£0.80 circulates through the local economy via indirect and induced effects. This multiplier varies by destination — areas with strong local supply chains retain more spending; areas dependent on imported goods and external employees retain less.

Key Economic Indicators

Measuring Economic Impact

Data Sources

The STEAM Model

STEAM (Scarborough Tourism Economic Activity Monitor) is the most widely used economic impact model for UK destinations. It estimates:

• Total visitor numbers (day and staying visitors)
• Total visitor spending (accommodation, food, shopping, transport, entertainment)
• Employment supported (direct and indirect FTEs)
• Economic impact (GVA contribution)

STEAM takes inputs from accommodation data, visitor surveys, transport data, and national statistics to produce standardised output that allows comparison between destinations and tracking over time.

Alternative Models

• Cambridge Model: Used by VisitBritain for national-level analysis
• Tourism satellite accounts: UNWTO methodology for comprehensive economic measurement
• Input-output modelling: Detailed supply chain analysis for large-scale impact assessment
• Bespoke surveys: DMO-designed visitor surveys for specific measurement needs

Communicating Economic Impact

To Local Government

Frame: Tourism as an economic development tool that generates tax revenue, creates jobs, and supports local businesses.

Key messages:

• "Tourism generated £[X] million in visitor spending last year — equivalent to [comparison]"
• "Tourism directly supports [X] jobs in the area — [Y]% of local employment"
• "Every £1 invested in destination marketing generated £[Z] in visitor spending"
• "[X]% of tourism spending stays in the local economy through local supply chains"

Evidence: Annual economic impact report using standardised methodology (STEAM or equivalent). Year-on-year comparisons showing growth trend. Comparison with regional and national benchmarks.

To Industry Stakeholders

Frame: Tourism marketing creates the demand that fills their businesses.

Key messages:

• "Accommodation occupancy reached [X]% — [Y] points above the regional average"
• "[X]% of visitors cited DMO marketing materials as an influence on their visit decision"
• "Trained agents generated [X] bookings worth £[Y] million"
• "Off-season campaigns drove [X]% increase in shoulder-month occupancy"

Evidence: Quarterly analytics reports connecting marketing activity to business performance metrics.

To Communities

Frame: Tourism benefits the community through jobs, services, and cultural vitality — while being managed responsibly.

Key messages:

• "Tourism supports [X] local jobs — including [Y]% that are year-round"
• "Visitor spending supports [Z] local businesses"
• "Tourism revenue funds [community benefit] — park maintenance, cultural events, public services"
• "We're managing tourism sustainably — [specific sustainability commitment]"

Evidence: Community impact report with resident survey data showing community attitudes toward tourism.

To National Tourism Bodies

Frame: The destination is an effective investment for national tourism strategy.

Key messages:

• "Our visitor growth of [X]% exceeded the national average of [Y]%"
• "International visitors generated £[Z] million in export earnings"
• "Seasonality improvement reduced peak-month concentration by [X]%"

Evidence: Performance against national KPIs using standardised methodology.

The ROI Narrative

DMO Return on Investment

The most powerful economic impact metric for DMOs is return on marketing investment:

DMO Marketing ROI = Incremental visitor spending attributed to DMO marketing ÷ DMO marketing budget

Example calculation:

• DMO marketing budget: £500,000
• Total destination visitor spend: £125 million
• Attributed to DMO marketing (survey-based): 8% = £10 million
• ROI: £10 million ÷ £500,000 = 20:1

Even with conservative attribution (5%), the ROI is compelling: £6.25 million ÷ £500,000 = 12.5:1.

This calculation is imperfect — attribution is always estimated — but it provides a narrative that resonates with funders. "Every £1 you invest in destination marketing generates £12-£20 in visitor spending in the local economy."

Strengthening Attribution

The attribution estimate becomes more credible with multiple evidence sources:

• Visitor surveys: "Did DMO marketing influence your decision to visit?"
• Campaign tracking: Website visits, enquiries, and bookings from marketing campaigns
• Trade channel attribution: Bookings through trained agents directly attributable to DMO trade programme
• Year-on-year correlation: Marketing investment changes correlated with visitor number changes
• Control group comparison: Destinations without DMO marketing vs. those with

Include economic impact reporting in the DMO analytics dashboard and stakeholder reporting as the highest-level validation of DMO value.

Measure and communicate your destination impact with TravAI →

This article is part of our DMO Marketing series. Related reading:

• DMO Analytics Dashboards: Turning Visitor Data into Decisions
• DMO Stakeholder Management: Reporting Marketing Impact
• DMO Marketing: The Complete Guide to Destination Promotion