Larry catches up with Cristal Rodriguez, Director of Marketing at Tempe Tourism and a recent Marketer of the Year, for a conversation that covers solo travel, a rooftop renaissance, a 13-years-in-the-making rebrand, and the slightly terrifying reality of competing with ChatGPT for "best pizza in Tempe" searches. Cristal makes a strong case that Tempe isn't trying to out-Scottsdale Scottsdale or out-Phoenix Phoenix — it's carving its own lane as the more elevated, walkable, slower-paced cousin in the metro, and that positioning is finally clicking with the solo-traveler segment they've leaned hard into.

The meatier marketing conversation is about life after the big rebrand reveal. Cristal is candid that plenty of DMOs nail the launch and then coast — she's deep in phase two/three, asking what comes after awareness. She and Larry get into the intangibility problem unique to destination marketing (you can't hold the product, attribution windows are a guessing game), the AI search hit on paid performance, and why the DMO community calling each other "colleagues, not competitors" is becoming a real survival strategy. Also: tequila, jalapeño margaritas, and a half-serious threat to push Larry into a Tempe pool live on Aqua Talks.

• Solo travel is a serious lane, not a fringe trend. Tempe is intentionally building around what solo travelers actually want — safety, walkability, centrality, strong food and bar scenes — including dedicated solo-influencer partnerships and itinerary content built specifically for the audience.
• The rebrand was a two-year, all-hands-on-deck operation — and social led the launch. After 13 years untouched, the new Tempe brand kicked off on social channels first, with ads and the website rolling out in sequence. The shift in tone was POV-driven: less "things to try" and more "here's what we think you should try, and here's why."
• Phase two is the harder phase. Cristal flagged a pattern of DMOs nailing the rebrand reveal and then losing momentum. Tempe's current focus is sustaining post-launch energy and moving past awareness into deeper engagement — modeled in part on Visit Philly and LA, who keep pushing forward.
• The Canada case study Cristal can't stop watching. Canada's destination work that leans into the faults (yes, it's cold; yes, sometimes there's nothing to do) is, in her view, one of the smartest contrarian plays in destination marketing right now — and the metrics back it up.
• Positioning by contrast, not competition. Tempe sits intentionally between Scottsdale (luxury/spa/golf) and Phoenix (urban/fast-paced) and leans into being neither — slower, more elevated, off the beaten path. The DMOs in metro Phoenix actively collaborate rather than compete, sharing tactical intel as the AI-search landscape shifts under them.
• AI is rewriting the paid playbook in real time. Tempe's paid search took a hit last year as more travel research moves to ChatGPT and similar tools. Cristal's response: tighter cross-DMO collaboration to share what's working, faster pivoting, and accepting that the rules are getting rewritten week to week.
• Destination marketing's measurement problem is real. With no physical product to point at and attribution windows that can stretch six months, DMOs are forced to lean harder on data and analytics than almost any other marketing discipline — while accepting they'll never quite know which billboard sealed the deal.
• The ASU narrative is a gift and a curse. Tempe Tourism is actively working to reframe outsider perception of Tempe as a "college town" — particularly intra-state, where Phoenix, Tucson, and Flagstaff residents may not have visited since their own ASU days. The city has matured. The marketing is working to catch the audience up.

Larry sits down with Daniel Horsch, Senior Sales Director at Azira, for a wide-ranging conversation about what data can actually do for destination marketers when you stop chasing impressions and start asking better questions. Daniel describes Azira as "the Swiss" of the data world — neutral, flexible, and plugged in across channel partners, agencies, and direct clients — with geolocation data that's universal enough to translate across verticals but laser-focused on travel and hospitality.

The bigger thread here is intentionality. Daniel makes the case that DMOs are getting pulled past the old "heads in beds" scoreboard and into harder questions: Are visitors actually shopping? Eating? Staying longer? Coming back? He shares a sharp example from his pre-Azira days running marketing for a DFW destination, where data showed a nearby high-affinity market was only staying 1.5 days — prompting a budget reallocation to longer-stay markets that drove real economic lift. He and Larry also riff on the realities of AI as a "coworker, not a captain," the death of analysis paralysis, and why no Zoom call will ever replace a real conversation at an event.

Key Takeaways

• Geolocation data goes way beyond "did they see the ad." Azira's value sits in tying media exposure to actual in-market behavior — restaurants, shops, attractions, length of stay — which is exactly the proof point stakeholders are demanding from DMOs right now.
• Set the attribution expectation up front. A 30–60 day window for awareness campaigns vs. an immediate-return event-ticketing campaign are wildly different conversations. Daniel's first move with any partner is aligning on what "success" actually means before the first dollar runs.
• Polygon-and-pivot for fly markets. For destinations served by multiple airports, Azira polygons each airport to surface the real visitor makeup, then layers in where those flyers also travel — which surfaces both lookalike opportunities and net-new visitor pools competitors are already winning.
• Reallocate against length-of-stay, not just affinity. Daniel's DFW war story is a great reminder: a market that loves you but only stays 1.5 days may be costing you more than it's worth. Move that budget to 2–3 night markets and the downstream economic impact compounds.
• AI's biggest unlock for non-analysts is prompt-driven sense-making. Daniel is candid that he's "not a data analyst," but using AI to interrogate raw data sets has killed his analysis paralysis and given him real confidence walking into partner conversations. (Bonus: he and Larry agree AI is a coworker, not the boss.)
• The standout case study — turn a red-eye observation into 2,000+ visits. On a late arrival into Chicago, Daniel skipped the Uber, took the Metro, and spotted Fort Worth out-of-home placements (an existing Azira partner). He pitched a geofence layered on top of the existing OOH buy — capturing Metro riders at the station, then re-engaging them at work and home. The result: 2,000+ measured Chicago-origin visits to Fort Worth from a strategy that complemented (rather than replaced) what was already running.
• Relationships are still the platform. Both agreed: events like Etourism and Destinations International aren't networking nice-to-haves — they're where the real partnerships actually start, and where AI-era trust gets built face-to-face

Larry catches up with Ladona Weathers from Visit Table Rock Lake — a marketing department of one running point for an 800-mile shoreline tucked into southwest Missouri (yes, more shoreline than California, and no, you can't drive around it). Ladona makes the case that small DMOs don't have to play small: her org consistently posts top-in-the-state ROI by leaning hard into partnerships, especially co-op work with Silver Dollar City, the wildly popular 1880s theme park right next door.

The bigger conversation is about how authenticity is winning right now. With AI flooding travel research, Ladona argues storytelling from real owners and real visitors is what actually moves the needle — and that goes for influencer strategy too, where micro-influencers and unpolished voices are outperforming the trying-too-hard crowd. She also gets candid about the challenges nobody's talking about, like aging post-COVID resort inventory and the tricky dance of measured growth in a destination that exploded during the pandemic.

In This Episode

• 00:06 - Introduction to Aqua Talks
• 04:03 - Exploring Table Rock Lake and Silver Dollar City
• 08:19 - Exploring Missouri's Caves
• 11:01 - Influencer Marketing and Authenticity in Destination Marketing
• 17:00 - Challenges in Tourism: Aging Resorts and Visitor Expectations

Key Takeaways:

• Partnerships are the small-DMO superpower. Ladona's co-op with Silver Dollar City matched a surprise state tourism allocation and unlocked tactics (like podcast advertising) the budget couldn't normally support — driving measurable lift in county tax revenue.
• One org, three hats. Visit Table Rock Lake operates as the chamber, the DMO, and the economic development arm — a structure that makes stakeholder alignment dramatically easier than the typical siloed setup.
• Authenticity beats polish in influencer marketing. For a Midwestern drive-to market, audiences sniff out "trying to be an influencer" instantly. A single micro-influencer from Omaha pushed that city into their top 10 visitation markets within six months.
• AI is making real storytelling more valuable, not less. As travel planners get more LLM-generated content, firsthand voices from local operators and mom-and-pops cut through harder than ever.
• Sports-adjacent is a real positioning lane. Bass fishing, wake surfing, and lake sports don't fit traditional sports marketing, but partnering northward with Springfield (Cardinals minor league, indoor arena football) creates legit cross-promotion plays.
• The challenge nobody's discussing: aging lodging stock. Resorts built around the 1950s damming of the White River are turning over post-COVID, and today's visitor wants experience or a touch of luxury — not just "cheapest place on the lake."
• Measured growth > viral growth. After a COVID-era explosion, Table Rock is intentionally pacing itself to protect the environment that makes the destination work in the first place.