See who's browsing your properties and what they'd actually pay. Before you set the rate.
Free for early operators. 5-minute install. Nothing changes except what you can see.
Every pricing tool you use treats your traffic as one audience. It's not. Some visitors would pay 30% more. Others won't convert at any price. You just can't see which is which. Until now.
Leon Freier, Founder
How it works
Shadow Mode installs in 5 minutes and immediately starts reading visitor behavior. It doesn't change a single price. It shows you what you've been missing.
One line of JavaScript in your site header. Works with any direct booking site. No PMS integration required.
Scroll patterns, search behavior, time on page, device signals, return visits. 147 behavioral signals that reveal who'd pay more and who's price-shopping.
Real-time alerts with specific actions. "High WTP traffic detected, don't activate your scheduled discount this week." "Premium browsers leaving, send this retargeting email." You decide what to do.
Intelligence in real time
Shadow Mode shows you which visitors would pay more, and which won't convert at any price. Then it tells you exactly what to do about it.
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
PriceLabs, Wheelhouse, Beyond forecast demand from supply-side data. They can't observe it. ApexAlpha watches your actual visitors and tells you what your pricing tools are missing: who's looking and what they'd pay.
revenue_blind_spots.csv
High-value visitors undercharged
Some visitors 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 visitors would have booked at full price.
Decisions made blind
Revenue decisions based on market averages, not individual intent.
Where this goes
Start with demand visibility. See the patterns in your traffic. When you trust what you see, turn on demand scaling and let the system act on it. Your floor rate is always protected.
Now
Demand visibility. See which visitors would pay more before they book. Real-time alerts tell you when to hold rates, skip a discount, or retarget high-value browsers who left.
Next
Set your own guardrails. "If high-intent guest, allow up to +15%." You control the boundaries.
Then
Every guest gets a price matched to their intent. Fully automatic. Floor rate always protected.