Your guests tell you
what they'd pay.
Shadow Mode reads your direct booking traffic and shows you where the money is — which segments would pay more, which won't convert, and where you're leaving revenue on the table.
Free for early operators. No pricing changes. No risk.
Your pricing tools optimize for dates and comp sets. They treat every guest the same. Shadow Mode sees the difference — so you can act on it.
Leon Freier, Founder
How it works
Watch before you act.
Shadow Mode installs in 5 minutes and immediately starts reading guest behavior. It doesn't change a single price. It shows you what you've been missing.
Install the snippet
One line of JavaScript in your site header. Works with any direct booking site. No PMS integration required.
Shadow Mode observes
Scroll patterns, search behavior, time on page, device signals, return visits — 147 behavioral signals mapped to willingness-to-pay.
You see the truth
Real-time alerts show which segments would pay more, where demand is surging, and where you're bleeding margin. You decide what to do.
Intelligence in real time
See the pattern.
Make the call.
Shadow Mode maps willingness-to-pay against booking intent across your entire portfolio — and tells you exactly when to hold, raise, or push.
Premium demand is present
54% of this week's traffic shows high willingness to pay. Hold or raise rates — discounting now leaves money on the table. Potential impact: $48K in unrealized revenue this month.
High-value browsers not converting
131 sessions in the high-WTP, low-intent quadrant. These visitors would pay premium — but they're leaving. Retarget now before they book elsewhere.
High-WTP share spiking
High-WTP share jumped to 60% over the last 3 days — unusual for this period. You're priced below what the market will bear. Raise rates now or lose the margin.
The blind spot
Your tools know the market.
They don't know your guests.
PriceLabs, Wheelhouse, Beyond — they optimize for dates, seasonality, and comp sets. But they treat every guest the same.
revenue_blind_spots.csv
High-value guests undercharged
Some guests would pay 20-30% more. Your tools show them the same rate.
Discounts wasted on wrong people
You discount to fill gaps — but some of those guests would have booked at full price.
Decisions made blind
Revenue decisions based on market averages, not individual intent.
Where this goes
Shadow Mode is step one.
Start with visibility. Move to automation when you trust what you see. Your floor rate is always protected.
Now
Shadow Mode
Your pricing cockpit. WTP × intent matrix, automated alerts, session-level drill-down. Log every decision against the data.
Next
Rules Engine
Set your own guardrails. "If high-intent guest, allow up to +15%." You control the boundaries.
Then
Guest-Level Pricing
Every guest gets a price matched to their intent. Fully automatic. Floor rate always protected.