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Key Takeaways
- Market evaluation should precede property-specific underwriting โ a great park in a bad market is a hard investment; a mediocre park in a great market can still perform
- The 25-mile competitive radius is the most useful starting frame for mapping direct competition
- Calling existing park owners is the most time-efficient way to gather real occupancy and rate data โ most will share general information with a polite, direct approach
- Tourism infrastructure (national parks, attractions, highway access, seasonal events) drives demand sustainability better than any single metric
- Use RVSpot's Market Opportunity Score tool as a first-pass screening framework before committing time to deep research
This guide is for informational and research purposes. Not investment advice โ consult qualified advisors before making investment decisions.
Step 1: Define the Market Radius
Start with the 25-mile radius around a target location. This is the competitive zone most RV travelers will use when choosing between parks. Beyond 25 miles, traveler behavior shifts โ parks become less direct substitutes and more complements in a route itinerary.
Within your 25-mile radius, map: (1) all existing RV parks by site count and class (resort vs. independent vs. public), (2) major demand generators (national parks, attractions, cities, events), (3) highway access points, and (4) population centers within 3-hour drive (the weekend-trip feeder market).
Browse parks on RVSpot โ contact parks directly, no commission.
Browse RV Parks โUse RVSpot's search to build a directory view of parks in the target market, then cross-reference with Google Maps for parks not yet in RVSpot's database.
Step 2: Assess Demand Generators
Sustainable RV park demand comes from multiple overlapping traveler types โ not a single source. Markets that depend on one generator (a single national park, one major event) face concentrated risk if that generator changes. Multi-driver markets are more resilient.
The demand driver checklist
- National Park or monument within 30 miles: One of the most reliable demand drivers in RV travel. NPS visitation data is public โ check annual visitor counts and 5-year trends.
- Major highway intersection (I-xx): Interstate-adjacent parks capture pass-through overnight traffic even when destination demand is low. Location near two intersecting interstates doubles the catch radius.
- Urban proximity (major city within 60 minutes): Feeds weekend-trip campers who don't need a major attraction โ just a pleasant overnight experience.
- Seasonal events (racing, festivals, air shows, state fairs): Creates predictable demand spikes but shouldn't be the primary occupancy driver.
- Snowbird corridor (Sun Belt winter migration routes): I-10, I-75, and US-1 are major snowbird arteries โ parks near these routes benefit from winter migration traffic regardless of local attractions.
Step 3: Map the Competition
Competitive mapping answers three questions: How many alternatives do travelers have? What price and quality level do those alternatives offer? Is there a gap your park can fill?
Research approach
- List all parks within 25 miles using RVSpot, Google Maps, and Campendium. Note: site count, hookup types, amenities, nightly rate range, and any notable reviews.
- Identify quality tiers: Are existing parks resort-class (pool, clubhouse, activity programs) or basic (utilities only)? A quality gap at either end is a positioning opportunity.
- Call 3โ5 competitor parks during shoulder season: Ask about availability for next month. Parks that are "fully booked" in May are well-positioned markets. Parks with "lots of availability" signal softer demand.
- Check online review recency: Parks with reviews from the last 90 days are actively sought-after. Parks with their last review 18+ months ago may be declining.
Use RVSpot's Competition Scanner tool for a structured competitive analysis framework.
Step 4: Establish Rate Benchmarks
Pricing research determines your revenue ceiling โ the maximum nightly, weekly, and monthly rate the market will bear. This sets the top of your NOI model before operating expenses.
Data sources for rate research
- RVSpot park pages: Many parks publish their nightly and monthly rates โ use RVSpot to look up comparable parks and check which ones list their pricing
- Reserve America / Recreation.gov: Public land camping rates (sets the public-land floor for private park pricing in adjacent areas)
- Direct competitor websites: Most parks publish rate sheets โ document them systematically
- Peak vs. shoulder vs. off-season rates: If a park charges $65/night in summer and $35/night in winter, your market model needs to reflect both
Step 5: Assess Regulatory Environment
Local zoning, state environmental regulations, and county permitting processes can significantly affect both acquisition timelines and operating costs. Research before making an offer:
- Is the park operating under a valid conditional use permit / special use permit?
- Are there occupancy limits that cap your growth?
- Is expansion feasible under current zoning โ or would a site-count increase require a public hearing?
- Are there septic / sewer constraints that limit density?
- What's the state's RV park licensing renewal process and compliance history?
Step 6: Run a First-Pass Opportunity Score
Once you have demand, competition, rate, and regulatory data, use RVSpot's Market Opportunity Score tool to get a structured first-pass view of how the market scores across demand, competition intensity, and pricing power dimensions. This doesn't replace professional analysis but helps prioritize which markets deserve deeper research.
FAQ
How long should market research take before making an offer?
Thorough market research for a first-time buyer: 2โ4 weeks minimum. This includes competitive mapping, rate benchmarking, 3โ5 competitor calls, demand driver assessment, and a basic regulatory review. Don't shorten this step โ it's the cheapest due diligence you'll do.
What's the biggest market research mistake RV park investors make?
Modeling occupancy based on peak-season rates and summer crowds without accounting for the true seasonal distribution. A park that fills in July and August can still underperform if winter occupancy is 20%. Always model 12-month occupancy with monthly granularity.
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