Most tourism campaigns are measured the wrong way. Here is how to fix that, and what proof actually looks like when a board takes it seriously.

TL;DR

• Boards don't trust impressions. They trust economic numbers: ad-influenced visits, visitor spending, and return on investment tied to lodging tax data.
• The most common measurement failure in destination marketing is confusing campaign performance (clicks, reach, engagement) with economic impact (visits, spend, ROI).
• The fix is a methodology called attribution modeling — designing measurement before the campaign runs, not retrofitting a story after it ends.
• Idea Peddler's work for New Mexico True generated $122:1 ROI and $2.2 billion in ad-influenced spending. That number held up in front of a legislature. Here is how we built the proof.

There is a meeting that every DMO director eventually dreads.

The campaign performed well by every metric you track. Impressions were up. Engagement was strong. The creative won an award. And then someone on the board asks the question: "What did we actually get for the money?"

You pause. You have the impressions deck. You have the click-through rates. What you don't have is a number that sounds like what the board is actually asking — something in dollars, something tied to the visitor economy, something they can read out loud at a public meeting without cringing.

That gap — between campaign performance and economic proof — is the central measurement problem in destination marketing. It costs DMOs credibility, and sometimes it costs them their budget.

Here is the framework for closing it.

Why Impressions Don't Work in a Board Meeting

Impressions measure eyeballs. Boards care about room nights, lodging tax revenue, and economic impact. These are not the same thing, and no amount of slide design will make them feel equivalent to a council member who is asking whether the marketing spend justified itself.

This is not a new problem. But it has gotten worse. In a single year, awareness-first campaign priorities collapsed from 59% to 25% among DMOs nationally. The reason: boards and legislatures have gotten more sophisticated. They have seen too many "great impression" campaigns that did not move the visitor economy needle. They are not going to fund another one.

The response from most agencies has been to add more data — more charts, more channels, more metrics. This almost always makes the problem worse. A board that does not believe impressions is not going to be convinced by a longer list of metrics they also do not believe.

The solution is fewer numbers, better numbers — and a clear chain from ad exposure to economic outcome.

What Boards Actually Believe

After a decade of presenting tourism ROI to public boards, city councils, and legislative appropriations committees, we have learned what holds up and what gets picked apart.

What holds up:

• Ad-influenced visits: the number of trips that can be attributed to your campaign, using a defensible methodology
• Ad-influenced spending: total visitor dollars generated by those trips
• Return on ad spend (ROAS): for every dollar spent on advertising, how many dollars in visitor spending were generated
• Return on investment (ROI): the full economic multiplier when you factor in the economic impact of visitor spending on local businesses, tax revenue, and employment

What gets picked apart:

• Reach and impressions: boards have no frame of reference for what a "good" impression count looks like
• Click-through rates: they do not translate to economic outcomes in a way a non-marketer can evaluate
• Social engagement: likes and shares do not show up in lodging tax revenue
• Unaided brand awareness: important for long-term destination health, but hard to defend as a budget line in isolation

None of this means awareness metrics are worthless. It means they cannot carry the ROI argument on their own. The proof that holds up in a public meeting is the proof that speaks the board's language: economic impact.

The Attribution Problem — and What It Actually Means

Attribution is the technical answer to a very simple question: how do you know the campaign caused the visit?

This is the question that sinks most DMO measurement programs. If a traveler books a trip to your destination, you need a defensible way to connect that booking to your advertising — specifically, to show that the trip was influenced by an ad rather than something else (a travel article, a friend's recommendation, an organic search).

There is no perfect answer to this question. Anyone who tells you they have one is selling something. What you can have is a rigorous, consistent, defensible methodology. The key word is defensible — meaning you can explain the logic to a skeptical board member and have it hold up.

The methodology we use is built on three layers:

Layer 1 — Exposed vs. unexposed comparison
People who saw your ads are compared against a control group of similar travelers who did not. The difference in trip behavior between the two groups isolates the campaign's effect. This is the core of incrementality testing, and it is the most defensible approach because it accounts for what would have happened anyway.

Layer 2 — Foot traffic and visitation data
Tools like Zartico and Placer.ai give you actual visit data — where travelers came from, when they arrived, how long they stayed, and how their behavior compared to non-exposed travelers. This is not self-reported survey data. It is device-level location intelligence, cross-referenced with lodging data and point-of-sale information. A board can look at this and understand: these are real people who made real trips.

Layer 3 — Economic multipliers from trusted sources
The final step is converting visits to economic impact, using multiplier data from a source the board trusts — typically a state or regional economic impact study, or data from the US Travel Association. This is what allows you to say: each of these 1.1 million ad-influenced visits generated approximately $X in visitor spending, which produced $X in state GDP.

Put these three layers together, and you have a chain of proof that holds up. It can be audited. It can be replicated. It can be defended in a legislative hearing.

How We Built the Proof for New Mexico True

New Mexico True is the official state tourism brand of New Mexico. We have been their agency of record for over a decade. In that time, the campaign has generated:

• 52X return on ad spend
• $122:1 return on investment
• 108% lift in intent to visit among exposed travelers versus the control group
• 1.1 million ad-influenced visits
• $2.2 billion in ad-influenced spending

These numbers have been presented to the New Mexico legislature. They have been scrutinized, questioned, and verified. They have held up every time.

Here is how they were built.

The measurement program was designed before the campaign launched — not retrofitted after. We defined the attribution methodology, identified the data sources, established the control group methodology, and agreed on the economic multiplier approach before a dollar of media was spent. This is the most important step most agencies skip.

During the campaign, we tracked exposed travelers using device-level data through Zartico, cross-referenced with lodging and visitor spending data. This gave us the visit count and the spending behavior — not just "people who saw our ad" but "people who saw our ad and then arrived in New Mexico and spent money."

After the campaign, we applied the state's accepted economic multipliers to convert visit counts into economic impact. The result was a number the legislature could trace: here is what we spent, here is what it generated, here is the methodology, here is the source for every assumption.

$122 in economic impact for every $1 of advertising. That number is not a projection. It is a measured outcome built on three layers of data.

The lesson is not that 52X ROAS is a universal benchmark. It reflects New Mexico's specific conditions: a strong destination brand, consistent messaging over ten years, and a data infrastructure built specifically to measure what a board needs to see. The lesson is that this level of proof is achievable — but only if the measurement architecture is built into the campaign from the beginning.

The Framework: Destination Velocity

We call this approach Destination Velocity.

The name reflects the goal: not just movement, but directional momentum that can be measured and defended. A destination with strong velocity is generating real visits, real spending, and real ROI that builds year over year. The opposite — a destination stuck in the awareness game, measuring impressions and hoping boards stay patient — is not velocity. It is drift.

Destination Velocity has three requirements:

1. Measurement design precedes media planning.
You define what you are trying to prove before the campaign runs. What does success look like? What data sources will you use? What is your attribution methodology? These decisions get made in the strategy phase, not the reporting phase.

2. Economic impact, not campaign metrics, is the headline number.
Your summary slide says: for every dollar we spent, visitors generated $X in economic impact. Everything else — impressions, clicks, engagement — goes in the appendix. The board does not lead with those numbers. You should not either.

3. Data infrastructure is treated as a campaign requirement, not an add-on.
Zartico, Placer.ai, lodging data feeds, co-op partner tracking — these are not premium extras. They are the instruments you need to produce the proof. Build them into the budget and the plan.

Destination Velocity is what happens when a campaign earns economic proof, not just creative recognition. It is the measurement model that makes a DMO's budget defensible in public, year after year.

What to Do Before Your Next Board Meeting

If you are heading into a budget conversation without the proof you need, here is the short version:

Stop presenting impressions as the headline. Move them to the appendix. Your board is not counting eyeballs — they are counting tax revenue.

Ask your current agency what the attribution methodology is. If they cannot explain how they are connecting ad exposure to visits and visitor spending, you do not have an attribution methodology. You have a reporting deck.

Design measurement into the next campaign before it launches. Define the control group, the data sources, and the economic multiplier source before media is planned. This is the single most important operational change a DMO can make to its measurement program.

Build a data infrastructure that speaks your board's language. Zartico and Placer.ai give you the visitation layer. State economic impact studies give you the multiplier. Your own lodging tax data gives you the revenue layer. The combination is a complete proof stack.

Present year-over-year trends, not single-year snapshots. One year of 52X ROAS is a good number. Ten years of consistent, compounding results is an argument for institutional investment. The most powerful proof in a board meeting is: we have delivered measurable ROI every year for a decade, and here is the trend line.

The Question Worth Asking Your Agency

Before your next campaign brief, ask this:

"If I have to defend this campaign's ROI to our board in a public meeting nine months from now, what will we be able to prove — specifically, in dollars?"

If the answer involves impressions, reach, or engagement, you have your answer about what to fix first.

Economic proof is not a reporting problem. It is a design problem. And it is completely solvable — if you build the measurement architecture before the campaign launches, partner with an agency that understands the attribution methodology, and agree on what success looks like before a dollar is spent.

That is the argument your board will believe. And it is the argument that keeps your budget intact.

Idea Peddler is a destination marketing agency in Austin, TX and Santa Fe, NM. We have been measuring and defending tourism ROI for public boards and state legislatures for over a decade. If you want to talk about how to build a defensible measurement program for your destination, start a conversation.