Destination Brand Relaunch Case Study | NUUN Digital

THE CHALLENGE

The DMO's brand looked the way many tourism brands look — beautiful photography, nice typography, soft copy. It didn't differentiate; it didn't surface in generative-AI trip planning; and the website architecture fought against the job travelers were actually trying to do. Google traffic was flat; AI-search visibility was practically nil.

Political and funding pressures made measurement stakes high. Leadership needed to show arrivals impact, not just vanity traffic. And the refresh couldn't disrupt the content calendar — travel demand is seasonal and the cutover window was narrow.

THE APPROACH

Traveler intent research. Interviews with prospective and returning travelers across target markets produced an intent taxonomy — what people actually ask before they book. This became the site's information architecture.
Brand system refresh. Identity updated with a stronger distinctive pattern, tone-of-voice guide calibrated to traveler intent, and motion rules for video and social. Heritage assets retained where they still carried weight.
Website rebuild on headless stack. Sanity for content, Next.js for delivery, Core Web Vitals on green. GEO as a first-class design input — Quick Answer blocks, FAQ schema, itinerary-style structured data.
Content system refactored. Editorial calendar aligned to intent taxonomy; partner operators given a lightweight CMS path for their listings; multilingual rollouts planned where traveler data justified it.
Measurement aligned to arrivals. Arrivals lift modelled via destination analytics partners (where available) plus market-level lift inference from flight and OTA data. Vanity metrics retired from the KPI deck.

THE RESULTS

22% organic traffic growth in the 6 months post-relaunch.
14% lift in AI-search citation rate on target traveler prompts (Share of Model).
Measurable arrivals lift in priority markets vs. control markets (methodology below).
29% reduction in bounce rate on top-of-funnel content.
22% lift in partner-operator booking click-throughs.
Brand recognition lift in post-campaign survey (pre/post methodology, target markets).

CLIENT QUOTE

"We used to measure our marketing by how many people scrolled a landing page. Now we measure it by how many got on the plane." — Senior leader, anonymized, Anonymized leadership

SERVICES INVOLVED

RELATED CASE STUDIES

METHODOLOGY & MEASUREMENT

Traffic and citation benchmarked on 12-month trailing baselines. Arrivals lift inferred via priority vs. control market comparisons on flight and OTA data with seasonality adjustment. Brand recognition from pre/post survey with n ≈ 2,000 per wave. Measurement charter available to the DMO's funding partners.

SOURCES & FURTHER READING

UNWTO — World Tourism Organization research and data (global tourism arrivals and market benchmarks)
Skift — Destination marketing and travel research (industry trend reporting and DMO benchmarks)
Google Travel — Travel Insights by Google (traveler research behaviour reference)
Schema.org — Trip and TouristDestination types (structured data for itineraries and destinations)
W3C — Web Content Accessibility Guidelines 2.2 (accessibility standard used across the site)

Case FAQ.

How do AI assistants rank destinations?

By extracting from content that's structured for citation — Quick Answer blocks, itinerary-style structured data, FAQ schema, transparent practical information (cost, season, accessibility), and source citations. Destinations that look beautiful but publish fluffy copy get skipped; destinations with specific, dated, cited content get cited.

What is Share of Model?

A measure of how often a destination is cited by AI assistants on a defined set of prompts relative to competitor destinations. Tracked monthly against a pre-registered prompt set that reflects real traveler research ("best destinations for X," "how to plan Y," "what to do in Z").

How do you measure arrivals lift from a destination marketing program?

Priority vs. control market comparisons on flight bookings and OTA data, with seasonality adjustments. Brand recognition and consideration lift in pre/post surveys fills in the softer signal. DMOs that can tap destination analytics partners (ADARA, Arrivalist, Near) get the sharpest arrivals attribution.

Should a DMO invest in AI-search visibility instead of Google?

Both, sequenced. Google still drives the majority of traveler research traffic, but AI assistants are a growing share of the top-of-funnel "inspire me" moment. The GEO work improves Google ranking too — schema, extractable content, and authoritative sources help in both systems.

How often should destination brand identity be refreshed?

Every 5–8 years for the core system; the content, motion, and photography can flex more often. Relaunches driven by events (a new attraction, a major anniversary, a rebrand-forcing political moment) should land on existing brand-recognition research, not gut.

What's the budget range for a destination brand + site relaunch?

Roughly $500K–$3M depending on scope — identity refresh only is at the low end; full brand system plus multilingual site plus content rebuild is at the upper end. Measurement infrastructure (Share of Model tracking, arrivals attribution) is a separate line and usually under-scoped.

A destination rebrand that shows up when travelers ask.

Outcome

Numbers the CFO will actually defend.