Experiment ℜ05 — Pricing

Stop undercharging when
demand is high.

"I charge the same price regardless of demand and I’m leaving money on the table."

Flat pricing is the default for most SMBs — one price, all the time, regardless of what demand is doing. But demand isn’t flat. It peaks, dips, surges, and drops in predictable patterns that are already visible in your data. Demand Pricing Scan reads those patterns and builds a tiered pricing model from them — peak rates, off-peak rates, and surge windows — so you charge what the market will bear when it’s bearing it, and incentivize bookings when it isn’t.

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Demand Pricing Scan™
Price$500 one-time
Delivery3–5 business days
VerticalAll verticals
OutputCCL Lab Results™
CCL Lab Results™ — ℜ05

What you receive.

Every Demand Pricing Scan™ engagement delivers a CCL Lab Results™ document — the intelligence brief containing every finding, score, and recommended action from the StratEdge Intelligence™ run.

Deliverable 01
Demand Curve Analysis

Demand mapped by day of week, hour, and season. Shows exactly when your market is willing to pay more and when it needs incentivizing.

Deliverable 02
Tiered Pricing Model

Peak, standard, and off-peak rate recommendations built from your actual demand data — not industry averages or competitor rates.

Deliverable 03
Surge Window Calendar

Specific dates, days, and hours where premium pricing is supported by demand signals. Ready to implement.

Deliverable 04
Bundle Price Recommendations

Package pricing structured to convert off-peak windows — bundles that protect margin while increasing occupancy.

What we need from you

Your data.
Our analysis.

StratEdge Intelligence™ requires the following data to run Demand Pricing Scan™. All data is submitted via the CCL intake form at the time of purchase.

Required
Booking and revenue data
  • Date, time, revenue per booking, and booking lead time
  • Minimum 90 days — 6 months preferred
  • Any format — CSV, Excel, PDF
  • Current pricing structure — all rates, packages, and tiers
Recommended
Occupancy and capacity data
  • Actual vs. available slots per session
  • Occupancy rate by period
  • Cancellation and no-show rates
  • Booking source breakdown if tracked
If applicable
Seasonal and competitive context
  • Known high-demand events, holidays, or recurring patterns
  • Historical promotions and their impact
  • Competitor pricing if tracked
  • Any notes on demand outliers

Not sure if you have enough? CCL works with what is available and notes any data gaps in the CCL Lab Results™. Six months is ideal. Submit what you have and flag the time range.

Common questions

You probably have
questions.

“Our customers expect consistent pricing.”+
Demand-based pricing is now the standard across hospitality, entertainment, and experience businesses. Guests understand that Friday night costs more than Tuesday afternoon. The experiment tells you exactly how much more — and where the threshold is.
“We’re worried about losing customers with higher prices.”+
The model doesn’t recommend raising prices everywhere — it identifies the specific windows where demand signals support a premium and the windows where a lower rate drives more volume. You protect both ends.
“We already discount during slow periods.”+
Discounting without demand data is guesswork. This experiment tells you which windows respond to price incentives and which ones have a structural problem that discounting won’t fix.

Build a pricing model
from your actual
demand data.

Demand Pricing Scan delivers a demand curve analysis, a tiered pricing model, a surge window calendar, and bundle price recommendations — all built from what your data is already telling you.

Price$500 one-time
Delivery3–5 business days
Powered byStratEdge Intelligence™
Start this experiment →

Questions? Email admin@cognitivecraftlabs.com