Frida Bahja

Frida Bahja came into tourism through environmental engineering, which means she never learned to see a destination as just a product. She sees it as a system , one with feedback loops, pressure points, and failure modes that don’t announce themselves until something breaks. Now Director of Research at Experience Kissimmee and a researcher with SETTRA, she’s spent her career studying why travelers make the decisions they do, what makes destinations fragile, and what it actually takes to make tourism work for the communities that host it not just the visitors passing through. Her work has been published in Tourism Management and the International Journal of Tourism Research, and she’s done the rare thing of taking academic findings and putting them to use inside a real DMO. She’s one of the more honest voices in the industry about the gap between what research reveals and what organizations are actually willing to do about it.

Most destinations don’t struggle to collect data. They struggle to use it.

Inside most organizations, the pattern is predictable: dashboards grow, reports multiply, and insights get buried. The issue isn’t access—it’s translation.

In conversation with Frida Bahja, the breakthrough isn’t technical. It’s structural. Teams that act on data involve marketing early—before the research is complete, not after.

Because the failure point is always the same:
research optimizes for completeness, while marketing needs clarity.

That mismatch produces insights that are accurate—but unusable.

The fix is to anchor everything to a decision.

Not: “What does the data say?”
But: “What decision are we trying to make?”

That shift compresses the process:

• research becomes directional
• insights become usable
• teams move faster

And in an environment where AI is accelerating how decisions get made, translation speed matters more than data volume.

FAQ

Why do most marketing teams struggle with data?
Because insights are delivered without clear decisions attached, making them difficult to act on.

What makes data actionable?
Clear alignment between the question being asked and the decision being made.

How should teams improve data usage?
Involve stakeholders early and define the decision before collecting or analyzing data.