Dynamic pricing for holiday parks: a practical getting-started guide

Most holiday parks price by instinct — high season is expensive, low season is discounted, school holidays are at maximum. That's a form of pricing strategy. But it's a coarse one that leaves yield on the table at both ends: overpriced in weeks where demand is softer than expected, underpriced in weeks that book out weeks before arrival.

Dynamic pricing is the practice of adjusting rates in response to demand signals. It doesn't require an algorithm or a revenue manager. It requires a process, data, and willingness to act on what you see.

What dynamic pricing is (and isn't)

Dynamic pricing is adjusting your rates based on demand — typically: - Raising rates when occupancy is tracking ahead of the equivalent period last year - Lowering rates (or extending promotions) when occupancy is tracking below - Setting event-based premiums for weekends with local festivals or events - Last-minute rate adjustments to fill gaps in the booking calendar

Dynamic pricing is not: - Misleading guests about prices (always show the correct, current rate) - Drastic daily swings that confuse repeat customers - Copying whatever your nearest competitor charges (their situation is different from yours)

The data you need to start

You don't need sophisticated software. You need:

Historical occupancy by week: What did the same week look like last year? The year before? Build a simple spreadsheet — week number, year, occupancy percentage, average nightly rate achieved.

Forward booking pace: How does your current booking curve for each coming week compare to the same point last year? If week 32 is already at 80% occupancy in mid-June and it was only at 50% at this point last year, week 32 has strong demand — price accordingly.

Rate history: What rates did you charge in each week? What was the final occupancy? This is your yield baseline.

If you don't have this data, start collecting it now. This season's data is next season's intelligence.

The three signals to watch

### 1. Booking pace vs baseline

The most actionable signal. If a specific week is booking faster than the same week last year, it's in higher demand — raise rates now. If it's behind pace with 8+ weeks to go, consider a targeted promotion.

Check booking pace weekly during your planning horizon (typically 16 weeks out for school holiday periods).

### 2. Remaining availability

As you approach the arrival date, rate sensitivity decreases. Guests who book the week before a bank holiday weekend are primarily motivated by availability — they're less likely to price-compare. A 10–20% rate premium on last-minute availability often sticks.

Conversely, if you have significant availability with 6–8 weeks to go and the pace suggests it won't fill organically, a targeted promotion now is more profitable than discounting at 10 days to arrival when the volume has largely moved elsewhere.

### 3. Local events

School holidays, bank holidays, and local events (festivals, sporting events, air shows, regatta weekends) drive step-changes in demand that your baseline won't capture fully. Build a calendar of events that affect your catchment area and build rate premiums in proactively — don't wait until you see the bookings arrive.

Practical implementation without specialist software

### Step 1: Build your baseline

For each week of the upcoming season, establish: - Last year's final occupancy - Last year's average rate achieved (total pitch revenue ÷ pitches occupied) - This year's current occupancy at today's date

A simple spreadsheet with weekly rows and these three columns is sufficient to start.

### Step 2: Set pricing tiers

Establish three or four rate bands for each pitch type: - Standard rate: Your default pricing for that week - High demand rate: 10–15% above standard, applied when current occupancy exceeds last year's equivalent by >10 percentage points - Promotion rate: 5–10% below standard, applied when occupancy is 10+ points below last year's equivalent with 8+ weeks to go - Last-minute rate: 10–20% above standard, applied at 14 days to arrival for remaining availability

### Step 3: Create a weekly review habit

Set a recurring calendar event — Monday morning, 20 minutes — to review booking pace for your top 8 weeks by revenue. Adjust rates for any weeks where the trigger conditions are met.

This is the critical habit. Dynamic pricing done annually in a spreadsheet isn't dynamic pricing — it's just planning. The value comes from the weekly adjustment cadence.

### Step 4: Update rates consistently across all channels

If you sell through Pitchup, your own website, and phone/walk-in, all three need to reflect the same rate at any given point. Inconsistency between channels erodes trust and creates customer service problems when guests discover they paid more than someone who booked through a different channel.

What to expect

A basic weekly review process is aimed at improving revenue per available pitch-night over a full season. As an illustration of the kind of gain parks target: - A single-digit to low-double-digit percentage improvement in revenue per available pitch-night is a realistic goal — your result depends on your starting point and market - Better spread of bookings across the season as promotions pull forward demand from shoulder weeks - Less pressure to discount peak weeks at the last minute

The gains are larger in year two, when you have a full season of pace data against which to calibrate.

Pitfalls to avoid

Don't change rates in response to competitor prices alone. Your site has different pitch types, facilities, reviews, and catchment. What your neighbour charges is interesting information but not a pricing signal you should blindly follow.

Don't discount too early. Running a 15% discount from January on school holiday weeks trains your audience to wait for discounts. If demand is strong, hold rates.

Don't set and forget. The entire value of dynamic pricing is the weekly response to actual demand data. A dynamic pricing strategy reviewed once per month isn't dynamic.

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Parksphere's booking management tools give you the occupancy and pace data you need to run this process without manual data extraction. See the dashboard features or speak to us about your setup.