49% of DMOs Can't Prove Tourism ROI. Here Is What Is Actually Broken.

TL;DR

According to Sojern's 2026 State of Destination Marketing Report, 49% of DMOs globally now say tracking and attribution is their top barrier to managing full-funnel marketing. That is up from 37% the year before. You are not alone in this, and the problem is not getting easier.

Your board is not asking for more impressions. They are asking for proof that someone actually showed up.

And right now, most DMOs cannot deliver that. Not because the marketing is not working. Because the measurement infrastructure does not exist to connect a campaign to a visit.

I have spent 15 years building technology for tourism destinations and talking to DMO leaders across North America. The attribution problem comes up in almost every conversation. And the version I hear most often is not "we do not track anything." It is: "We know our marketing is working. We just cannot prove it."

That gap between knowing and proving is where the proving tourism ROI problem actually lives.

What Your Board Wants vs. What DMO Metrics Can Deliver

The industry shifted hard in 2026. According to Sojern's research, 72% of DMOs now prioritize conversion and economic impact as their primary reporting benchmarks. Awareness-focused campaigns dropped from 59% of primary focus in 2025 to 42% in 2026.

The era of leading with impressions is over.

But here is the gap: DMOs shifted their priorities before their data infrastructure could keep up. Most are still reporting on the metrics that were available (pageviews, social reach, click-through rates) while being judged against a new standard they were not built to meet.

The result is a conversation that plays out in boardrooms across the industry:

Marketing team: "Our campaign reached 2.3 million people."

Board member: "Did any of them come?"

Marketing team: "We have 47,000 website sessions and 6,200 clicked through to the tourism guide."

Board member: "Did any of them come?"

There is no answer to that question if the data infrastructure to track what happens after the click does not exist.

Why Proving Tourism ROI Is a Structural Problem, Not Just a Hard One

Most attribution advice treats this as a technical problem: add UTM parameters, install better analytics, connect your CRM. That helps at the margins. But the tourism attribution problem is structural. Standard digital measurement tools were built for e-commerce, where a click becomes a cart and a cart becomes a checkout, all in the same session. Tourism does not work that way.

Three reasons it is different:

The timeline outlasts the tools. The inspiration-to-visit window for most travelers is 60 to 120 days. That is longer than most attribution cookie windows. A visitor who saw your ad in March and came to your destination in May looks like an unattributed arrival. Your campaign gets no credit for the visit it inspired.

The final conversion happens somewhere you cannot see. The visitor does not book on your website. They book on Booking.com, Airbnb, or a hotel's direct site. They reserve a table through OpenTable. They buy attraction tickets on a third-party platform. These transactions happen on platforms you do not own and do not have data access to. You influenced the decision. You will never see the receipt.

Every platform counts it differently. Google, Meta, and TikTok each use their own attribution windows and counting methodologies. The same visitor gets counted multiple times across systems, and each platform's report makes your campaign look more successful than the others. Your ad spend dashboard says everything is working. Your hotel occupancy data says maybe.

What standard analytics shows you	What you actually need to prove ROI
Sessions on your website	Visitors who arrived in your destination
Click-through rate on your campaign	Which campaign source influenced the visit
Time on page / bounce rate	Which operators the visitor spent money with
Social reach and impressions	Whether they returned for a second visit
CTA clicks ("Plan Your Trip")	Whether a plan was built and followed through

You can see the click. You cannot see the check-in.

This is why "get better analytics" does not solve the ROI problem. The data you need does not exist in your analytics platform. It exists in the physical world, in the moment someone decides to visit, books a stay, or tells a friend the trip was worth it.

The Part That Actually Drives Decisions (And Why It Is Invisible to Analytics)

Something I have come to believe firmly after 100-plus customer discovery conversations with DMO leaders: real people's experiences carry more weight in travel decision-making than any marketing channel.

Travelers use AI tools like ChatGPT for inspiration. They use Google Maps to get oriented. They cobble together plans across Wanderlog, travel blogs, and a dozen other tabs. But when it comes to actually choosing a destination and committing to it, they trust someone who has been there. A friend who went. A review that feels specific and real. A story from a real person about what the morning farmers market is actually like, or whether the hiking trail is worth the drive.

AI surfaces your destination. Real people choose it.

DMOs have always known this intuitively. Word of mouth has always mattered. The difference in 2026 is that we finally have the infrastructure to begin capturing the signal from real visits, if we build for it.

Right now, most DMOs have no systematic way to measure which marketing touchpoint influenced a visitor's decision, which visitors actually arrived rather than just clicking, what those visitors did in-destination, or whether they came back. This is not a data strategy failure. It is a data infrastructure gap.

What First-Party Visitor Journey Data Actually Fixes

Standard web analytics gives you a view of your website. First-party visitor journey data gives you a view of what happened after your website worked.

When a visitor uses a trip planning tool embedded on your DMO site, they tell you something no ad pixel can capture: intent. They are not browsing. They are building a plan. They are deciding which neighborhoods to explore, which operators to visit, which experiences to book. That signal is the closest proxy to purchase intent that tourism has.

And it is data you own. Not rented from Google or Meta. Not dependent on a platform's attribution model. Yours.

It is worth noting that fewer than 10% of DMO websites currently have a trip planner embedded on their site, and even fewer offer visitors a way to book directly from the DMO's own pages. That means the planning intent signal, the richest data point in the visitor journey, is being lost at nearly every destination before it can be captured.

When the companion app follows the visitor into the destination, the picture extends further: which itinerary they planned, which stops they actually made, which operators were visited, which bookings completed in-app.

You can prove a journey you can see. You could not before.

For the first time, the board question gets an answer: "Our campaign reached 2.3 million people. Here is how many of them built a trip plan. Here is how many arrived. Here is the direct booking impact for these specific operators."

That is not an impression report. That is attribution.

A Practical Path to Building the Infrastructure

You do not have to solve the whole attribution problem at once. Here is what a first-party data approach looks like in stages:

Stage 1: Capture planning intent. Embed a real trip planning tool on your site. Not a blog archive or a Google Map. A tool where visitors build itineraries, save stops, and organize their trip. Every session is a data point.

Stage 2: Follow the journey. Offer a companion mobile app. When visitors use it in-destination, you get behavioral data from the real world, not just the digital touchpoint.

Stage 3: Connect it back. Tie planning data to campaign sources (UTM-tracked entry points), booking data, and return visit data. This is the attribution loop that closes.

Stage 4: Report it honestly. Show the board what you can prove and what you are still building toward. Defensible partial data is more credible than inflated full attribution.

A smaller true number beats a bigger estimated one every time.

What to Do Next

If you are heading into a 2027 budget conversation and you do not have the data infrastructure to answer "did anyone actually come," you have two options: report on what you have and manage expectations, or start building now so next year's conversation is different.

The infrastructure question is not "should we spend on this." It is "what does 2028 look like if we do not."

If you want to see what first-party visitor journey data looks like for a destination your size, I am happy to talk through what we are building with our early adopter pilots. No deck, no demo script. Just a real conversation about what we are seeing.

Travel safe, Shelley