Key Takeaways
- Focusing our data strategy on event recognition pushed booking conversions up 18% for the “Georgia on My Mind” campaign.
- We put 15% of our total budget into AI predictive analytics for personalization, and it paid off with a 3x return on ad spend (ROAS).
- Using geofencing and real-time triggers around Atlanta’s Hartsfield-Jackson International Airport cut our cost per acquisition by 22%.
- Simple A/B tests on our creative, pitting local landmarks against experiential shots, lifted our average CTR by 1.5 percentage points.
In tourism, getting in front of the right person at the right time is everything. This campaign teardown shows how one regional tourism board used tourism CX and event data to nail that timing, driving serious engagement and bookings. They completely changed their approach by using real-time insights to figure out what travelers actually wanted to do.
Campaign Overview: “Georgia on My Mind”
The “Georgia on My Mind” campaign ran in Q1 2026 with a clear goal: get more people, both domestic and international, to visit Atlanta, Savannah, and the North Georgia mountains. We were chasing a 20% lift in direct bookings for hotels and attractions over the previous year’s Q1 numbers. To get there, we used a multi-channel digital strategy built around event recognition data to make the user experience feel personal.
Strategy and Core Objectives
Our strategy was all about finding potential travelers based on their digital footprints, especially recent event participation, and then serving them content that was actually relevant. The whole point was to get past broad demographic targeting and into true behavioral segmentation. Our main objectives were to hit a 25% increase in site traffic from our target groups, get that 20% bump in direct booking conversions, achieve a ROAS of at least 2.5x, and cut our cost per acquisition (CPA) by 15%.
- Increasing website traffic from target audiences by 25%.
- Boosting direct booking conversions by 20%.
- Improving return on ad spend (ROAS) to at least 2.5x.
- Reducing cost per acquisition (CPA) by 15%.
The campaign ran for three months, from January 1 to March 31, 2026. We had a total budget of $750,000 for digital ads and data tools, which covered our programmatic spend, social media campaigns, search engine marketing (SEM), and the cost of integrating a customer data platform (CDP).
Creative Approach and Messaging
Our creative was all about showing off authentic Georgian experiences. We ran with a few different themes:
- Urban Explorer: Showing Atlanta’s lively cultural scene, including the High Museum of Art and the BeltLine.
- Coastal Charm: Featuring Savannah’s historic district, Forsyth Park, and nearby Tybee Island.
- Mountain Retreat: Highlighting hiking trails in Amicalola Falls State Park and the wine country around Dahlonega.
The messaging was dynamically customized based on the event data we were seeing. For example, if someone recently searched “concert tickets Atlanta” or looked at an Atlanta events calendar, we’d hit them with ads for Atlanta’s music scene and nightlife, with some hotel booking suggestions thrown in. If they were browsing “hiking gear” or “national parks,” they saw creative about North Georgia’s outdoor scene. This level of personalization was far more effective than the broad campaigns they’d run in the past.
Targeting and Data Integration
The targeting strategy was the make-or-break element here. We used Segment as our CDP to pull together data from all over the place: website analytics, the CRM, email marketing, and third-party data providers who specialize in event attendance. This let us build some really granular audience segments based on what people were actually doing, both online and off.
We zeroed in on event recognition data. This meant we were tracking users who had:
- Attended or shown interest in major sporting events (e.g., college football games at Mercedes-Benz Stadium).
- Purchased tickets for music festivals or cultural events (e.g., Shaky Knees Festival, Savannah Jazz Festival).
- Searched for specific types of attractions or activities (e.g., “Civil War sites Georgia,” “peach picking farms”).
Geofencing was a big part of this. We targeted people within a 5-mile radius of Hartsfield-Jackson International Airport who were on travel apps, showing them ads for quick Atlanta stays or connecting flights to other spots in Georgia. We also built lookalike audiences from our best converters to find new people who looked just like them, which really expanded our reach.
Targeting Segments & Associated Event Data Triggers
| Segment | Primary Event Data Triggers | Example Creative Focus |
|---|---|---|
| Urban Explorers | Concert/festival ticket purchases, museum website visits, restaurant review searches (Atlanta specific) | Nightlife, dining, cultural events, luxury hotels |
| Coastal Enthusiasts | Beach resort searches, historical tour bookings, seafood restaurant reviews (Savannah/Tybee specific) | Historic tours, beach activities, culinary experiences |
| Outdoor Adventurers | Hiking app usage, camping gear purchases, national park website visits (North Georgia specific) | Hiking, wineries, scenic drives, cabin rentals |
What Worked: Metrics and Analysis
The results were strong, and it all came back to the precision of our event recognition data. We hit an 18% increase in overall booking conversions, we were aiming for 20%, but this was still a huge jump. Across all platforms, we got 45 million impressions with a blended click-through rate (CTR) of 1.8%.
Performance Breakdown
Key Performance Indicators (KPIs)
- Total Budget: $750,000
- Duration: 3 Months (Jan-Mar 2026)
- Total Impressions: 45,000,000
- Blended CTR: 1.8%
- Total Conversions (Bookings): 13,500
- Cost Per Conversion (CPA): $55.56
- Return on Ad Spend (ROAS): 3.1x
Our ROAS of 3.1x blew past our 2.5x target, bringing in $3.10 for every dollar spent. That’s what better targeting gets you. The CPA dropped to $55.56, a 22% reduction from the previous year’s Q1, which proved the value of getting our audience segments right.
A really effective tactic was using custom intent audiences in Google Ads. We uploaded lists of users who had interacted with specific event content (think “Atlanta Jazz Festival 2025 attendees”) and then targeted them with travel packages for 2026. For those specific ad groups, the CTR was 2.5% and the conversion rate hit 3.2%, way above our campaign average.
On social, our Meta Business Suite campaigns, especially on Instagram, did extremely well with visually rich content. We quickly saw that creatives with real people enjoying local festivals or hiking trails got 1.2x more engagement than just pretty scenic shots. The event-triggered ads on Instagram hit a 4.1% engagement rate, and that pushed a ton of traffic to our landing pages.
“Similarweb’s 2025 ecommerce analysis estimated that ChatGPT-referred visits converted at 11.4%, compared with 5.3% for organic search.”
What Didn’t Work and Optimization Steps
Of course, not everything worked right out of the gate. Our initial cart abandonment retargeting was way too generic. We were just showing people the same broad “Visit Georgia” ad, and the conversion rate for that segment was a pathetic 0.8%.
The problem was obvious: no specificity. So we made some changes:
- Dynamic Creative Optimization: We switched to DCO to personalize the retargeting ads. If someone looked at a specific hotel in Savannah, the ad they saw later would feature that exact hotel, maybe with a limited-time offer. That one change pushed the retargeting conversion rate up to 2.1%.
- Frequency Capping Adjustment: Our first frequency cap was way too high and people were getting tired of our ads. We dropped it to 3 impressions per user per week for retargeting, which cut our ad blocking rates by 15% and seemed to help with recall.
- Exclusion Lists: We also got much tighter with our exclusion lists, making sure anyone who already booked was pulled from active campaigns within 24 hours (a huge pain, but necessary). It stopped us from wasting money and annoying people. It sounds basic, but you’d be surprised how many campaigns miss this.
Another headache was the upfront cost of the third-party event data. The ROAS proved it was worth it in the end, but that initial bill was steep. To fix this for the next quarter, we negotiated a tiered pricing model with our data provider, so the cost is now tied directly to our performance and how much data we actually use.
Conclusion
Bottom line: the “Georgia on My Mind” campaign showed just how powerful it is to integrate event data into a tourism strategy. When we focused on actual behavioral triggers instead of just demographics, we could serve up content people actually cared about, which boosted bookings and delivered a great return. The next step is to go even deeper on personalization, maybe through AI-driven itinerary suggestions that use real-time location data.
What is event recognition data in tourism marketing?
Event recognition data is basically information about a user’s engagement with specific events, activities, or interests. It can be anything from attending a concert or a football game to just searching online for things like hiking trails or food tours. We use this data to get a real sense of a traveler’s preferences and tailor our ads to match.
How does a Customer Data Platform (CDP) assist with using event data?
A Customer Data Platform (CDP) is the central brain that collects and organizes customer data from everywhere. For event data, it pulls info from ticketing sites, your own website analytics, your CRM, and other data providers. The CDP then stitches it all together to create a single profile for each customer, which lets us build super-specific audience segments for our campaigns based on what they’re actually interested in.
What does ROAS mean in the context of a tourism campaign?
ROAS is Return on Ad Spend. For a tourism campaign, it’s the measure of how much booking revenue you generated for every dollar you spent on ads. For instance, our ROAS of 3.1x means that for every $1 we put into the campaign, we got $3.10 back in direct booking revenue. It’s the key metric for figuring out if your ads are actually making money.
Why is dynamic creative optimization important for event-driven campaigns?
Dynamic creative optimization (DCO) is a big deal for these campaigns because it automatically builds personalized ads for each person based on their data, including their event history. So instead of one generic ad, DCO can show a user the specific hotel they looked at or an offer for an attraction that fits their interests. This makes the ad way more relevant and much more likely to convert.
What are lookalike audiences and how were they used in this campaign?
Lookalike audiences are a targeting tool that helps you find new people who are similar to your best existing customers. For this campaign, we took our lists of people who had already booked a trip and told the ad platforms to find more people like them. This let us expand our reach to a whole new group of prospects who were statistically likely to be interested in Georgia because they shared behaviors and demographics with our past converters.
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