This case study represents a composite scenario based on common patterns observed across mid-size destination marketing organizations. It is intended as an illustrative example for practitioners, not a report on a specific organization.

For years, the marketing team at a mid-size Great Lakes convention and visitors bureau ran its paid media the same way: roughly equal budget splits across drive-market digital campaigns, seasonal brand awareness pushes, and cooperative advertising programs with local hotel partners. The formula was comfortable. It kept stakeholders happy. And no one could say with certainty whether it was working.

That changed when the CVB’s new director of marketing pushed the organization to adopt a visitor attribution platform that connected digital ad exposure to verified foot traffic at the destination level. The results did not just inform the next campaign plan — they fundamentally restructured how the organization spent its money.

The Challenge: Budget Allocation Without Evidence

Like many mid-size CVBs operating on annual budgets between $1.5 million and $3 million, this organization faced a familiar tension. Board members wanted proof that marketing dollars were driving visitation. The marketing team had plenty of digital metrics — impressions, click-through rates, website sessions — but none of those numbers answered the question that mattered most: did people actually visit? The trend toward evidence-based measurement is well documented in Sojern’s 2026 State of Destination Marketing report.

The CVB was spending approximately 40% of its paid media budget on broad awareness campaigns targeting a 300-mile drive market radius. Another 35% went to seasonal campaigns promoting summer lakefront activities and fall color tourism. The remaining 25% funded co-op programs with hotel and attraction partners. The splits were based on historical precedent and stakeholder negotiation, not performance data.

The Approach: Layering Attribution Into Existing Campaigns

Rather than overhauling its entire media strategy at once, the CVB layered foot traffic attribution tracking onto its existing campaign structure. This meant tagging all digital campaigns — display, paid social, video, and search — with attribution pixels that could be matched against anonymized mobile location data to identify which ad-exposed audiences subsequently visited the destination. Recent industry partnerships — like the one announced by Causal and Quorum — reflect how this category of measurement is maturing.

The attribution window was set at 30 days post-exposure, with a minimum visit duration threshold to filter out pass-through traffic. The CVB worked with its attribution vendor to establish baseline visitation rates for each target market so that lift could be measured against organic travel patterns.

The initial measurement period covered two full quarters — enough to capture both a peak summer season and an early fall shoulder season. The team committed to making no budget changes during the measurement period, treating it as a diagnostic phase rather than an optimization phase.

What the Data Revealed

The results were not what the team expected. The broad awareness campaigns targeting the full 300-mile drive market — the single largest budget line — showed the lowest cost-per-visit of any channel, but the visits they influenced were heavily concentrated in just three metro areas within that radius. Roughly 70% of attributed visits from the awareness campaigns originated from those three metros, meaning the CVB was effectively paying to reach audiences across dozens of cities while only converting visitors from a handful.

The seasonal campaigns told a different story. Fall color campaigns, which the team had considered a lower priority, showed significantly higher visit-through rates than summer campaigns. Visitors exposed to fall content were visiting at nearly twice the rate of those exposed to summer lakefront messaging — likely because fall represented a less obvious trip occasion that benefited more from marketing influence.

The co-op programs, meanwhile, showed strong performance for attractions but weaker results for hotel partners. Visitors who engaged with attraction-focused co-op content were more likely to make a trip than those who engaged with lodging-focused content, suggesting that the “thing to do” was a stronger trip motivator than the “place to stay” for this destination’s drive-market audience.

The Reallocation

Armed with two quarters of attribution data, the CVB restructured its budget for the following fiscal year. The broad awareness campaigns were narrowed from a 300-mile radius to a focused effort on the three high-converting metro markets, which allowed the same budget to deliver significantly higher frequency to the audiences most likely to convert. The savings from eliminating low-performing markets were redirected to expand the fall shoulder season campaign, which received a 60% budget increase.

The co-op program was restructured to prioritize attraction partners over lodging partners, with hotel co-op shifted toward a retargeting model that served lodging offers to visitors who had already engaged with attraction or activity content. This sequential approach reflected what the data showed: the trip decision came first, the lodging decision followed.

The Results

Over the following year, the CVB reported a measurable increase in attributed visits while spending the same total media budget. The cost per attributed visit declined as spending concentrated on higher-performing channels and markets. Equally important, the CVB’s board conversations shifted from debating impressions to discussing visit volume and cost-per-visit — metrics that connected directly to the economic impact numbers that justified the organization’s funding.

Practitioner Takeaway

The lesson from this scenario is not that every CVB should cut broad awareness campaigns or double down on shoulder season marketing. The lesson is that budget allocation decisions made without attribution data are, at best, educated guesses. And in an era where DMO boards and funding bodies increasingly expect evidence-based strategy, educated guesses are becoming insufficient. Simpleview’s 2026 trends guide reinforces this shift toward data-driven decision-making across the industry.

Mid-size CVBs do not need enterprise-level budgets to implement attribution. Many vendors offer tiered pricing that makes foot traffic measurement accessible at the $2–3 million budget level. The critical first step is committing to a diagnostic period where existing campaigns are measured before any changes are made. The data will almost certainly surface surprises — and those surprises are where the real optimization opportunities live.

Photo by Morgane Perraud on Unsplash.