Data-driven segmentation: marketing to locals vs tourists

Most outdoor businesses treat their entire customer base like one audience. They run the same ads, send the same emails, and write the same copy for the person who lives 8 miles away and the one who flew in from Chicago. That’s money left on the table - and it’s fixable with data you already have.

Data-driven segmentation between locals and tourists isn’t a complicated analytics project. It’s a shift in how you read your booking data, and it changes how you spend on ads, what you say in email, and when you say it.

Why the local/tourist split matters more than demographics

Most operators default to demographic segmentation - age, gender, family status. Useful, but incomplete. For outdoor recreation businesses, the most predictive variable for booking behavior isn’t who someone is. It’s where they’re coming from.

A local customer books last-minute. They check the forecast Friday afternoon and book for Saturday. They’ve usually heard of you before. They need reminders, not introductions.

A tourist books weeks out, sometimes months. They’re researching activities alongside hotels and flights. They don’t know your business exists yet. They need to find you in search, trust you fast, and have their logistics questions answered before they’ll commit.

Those two customers need completely different things from you at completely different times. Serving them with the same message means you’re probably serving neither one well.

We’ve seen operators run Google Ads campaigns that perform reasonably for one segment and terribly for the other - but because they’re looking at blended numbers, they never catch it. Splitting by local versus tourist origin is where that kind of waste shows up.

Where to find the data

The segmentation starts in your booking records. Three data points get you most of the way there.

Zip code at checkout. Every major booking platform - FareHarbor, Peek Pro, Xola - captures billing zip codes. Pull a report and plot your customers on a map. You’ll see clusters emerge fast. Customers inside your metro area or within a 90-minute drive radius behave differently from those coming from 300+ miles out. That radius varies by region, but 2-3 hours is a reliable working definition of “local.”

Booking lead time. How far in advance did someone reserve? Locals booking summer kayak trips often commit 3-7 days out. Destination visitors from out of state book 3-6 weeks ahead, sometimes longer for multi-day experiences. Pull this from your booking platform’s date reports and separate it by customer origin zip code. The pattern will be obvious.

Repeat booking rate. Locals come back. Tourists often don’t - at least not in the same season. A customer who’s booked with you three times in two years almost certainly lives nearby. That repeat signal is a proxy for local status even without zip code data.

Google Analytics 4 adds another layer. GA4’s geographic reports show sessions by city and region, and you can create custom segments comparing visitors from your local metro area versus everyone else. This tells you whether your local audience is finding you through different channels than your tourist audience - which they usually are. For a full setup walkthrough, see setting up GA4 for outdoor businesses.

What the data looks like in practice

The Nashville Water Taxi is one of the cleaner examples of this split playing out at an operational level. They ran river tours for families and game-day water taxis for events. Over time, they realized locals and tourists needed not just different messaging - they needed entirely different brands. The business eventually split into two separate entities so each could market to its audience without the other muddying the message.

Most operators won’t go that far. But the principle holds. When a Kicking Horse River rafting operator in British Columbia analyzed their zip code data, they found that local and regional customers were booking 3-7 days out, while customers coming from California and the Pacific Northwest were committing 4-8 weeks ahead. That sounds like a small insight. It wasn’t. They adjusted their Google Ads to run broader geographic campaigns earlier in the season and pull back on distant markets once the booking window closed for those customers. Wasted spend dropped noticeably. The local campaign continued running through the end of the season when out-of-state traffic had largely dried up.

That’s the practical value of the split: it tells you not just who to talk to, but when.

What to do differently for local customers

Locals are a loyalty play. They’re the ones who become regulars, refer friends, and show up in shoulder season when tourists have gone home.

Paid ads for locals work best at tight geographic targeting - zip code level, not just city level. Google Ads lets you target specific zip codes and set bid adjustments by distance from your location. Facebook and Instagram allow radius targeting down to a mile. Most operators set too wide a net. Tighter geography means higher relevance scores and lower cost per click.

Email to locals should feel local. Reference what’s happening nearby - a fishing opener, a trail that just dried out after spring snowmelt, a weekend event in town. It’s the difference between a newsletter and a travel brochure. If you’re writing the same email to a customer who lives in your zip code as you’re sending to someone planning a trip from out of state, you’re writing for neither of them.

Segmented campaigns consistently outperform unsegmented ones. Mailchimp’s industry benchmarks put segmented email open rates about 14% higher than non-segmented sends, and click rates nearly double. That gap closes when your local segment is reading content about their area versus generic trip promotion.

The mechanics of splitting your list are covered in detail at segmenting your email list by locals vs tourists.

Promotions for locals can be modest. A “resident rate” or midweek discount positions you well without needing to match OTA pricing. Locals are price-aware but not purely price-driven - they respond more to familiarity and trust than a coupon.

What to do differently for tourists

Tourists are a search and trust play. They need to find you, then decide fast whether you’re worth booking over the five other operators showing up in the same results.

SEO for tourists means broader keywords - “whitewater rafting Colorado” rather than “rafting [your town].” Your trip pages need to answer the questions a first-time visitor has: what to wear, where to meet, whether it’s appropriate for beginners, how long they should allow for the day. Locals already know this. Tourists don’t. That content gap is where you lose bookings without realizing it. For more on writing content that serves visitors who don’t know the area, see writing for visitors who don’t know your area.

Timing your ad spend to match booking lead times matters here more than anywhere else. Run tourist-targeted campaigns 6-10 weeks before your peak season. Most operators wait too long and miss the planning window entirely.

Tourists also need more trust signals before they’ll commit. Photo quality, verified reviews, response time, clear cancellation policies - these matter more for someone who can’t drive by your shop or ask a neighbor. If your website is calibrated for locals who already trust you, it may be working against you for tourists who don’t.

Building segments from your booking platform data

This doesn’t require a data science background. It requires about two hours and a spreadsheet.

Export your last 12 months of booking records. Add a column for distance between the customer’s zip code and your business zip code - Google Sheets has a formula for this, or you can use a free zip code distance calculator. Bucket customers into groups: under 50 miles, 50-200 miles, over 200 miles. Then run averages by bucket: booking lead time, spend per person, trip type, repeat booking rate.

You’ll see the shape of your customer base in that data. Most operators who do this find that their local customers (under 50 miles) make up 30-50% of total bookings, skew toward shorter trips, book later in the planning window, and return more often. Out-of-state customers typically spend more per head, book longer experiences, and are much harder to re-engage after the first trip.

Those numbers tell you where to invest in loyalty infrastructure versus acquisition marketing. If 40% of your bookings are within 50 miles, that’s a retention opportunity most operators are leaving unmanaged.

Separate campaigns, not just separate audience tags

The operators who get the most out of this work don’t just tag their audiences differently in a CRM. They run separate campaigns.

Separate Google Ads campaigns for local versus tourist geographic targets. Separate email sequences with different cadences and different content. Some social posts written for the person who’s been meaning to come back all summer, others written for the person who’s never visited your region.

This sounds like more work. It is, until you’ve built the templates. After that, it mostly comes down to asking one question before you create any piece of marketing: is this for someone who already knows us, or someone who’s still deciding whether to trust us?

Those are different conversations. Running them separately gets better results than trying to write one message that works for both - which usually means it works for neither.

Start with zip code data from your last season’s bookings before doing anything else. Plot it, bucket it by distance, and look at the lead times by bucket. That 30-minute exercise will show you exactly where your locals are coming from and how far in advance your tourist customers are committing. Every targeted campaign you run afterward should be built on that foundation.

The data is already sitting in your booking platform. The question is whether you’re reading it.