41% of your customers
would've paid more.

We build an AI pricing model on your data and show each visitor the highest price they'll actually say yes to — and a lower one when that's what wins the sale.

See how it works ↓
Your data, not a template Lift proven in dollars Live in weeks

How it works

Every visitor is scored the moment they land, then priced to the person — not the average. Watch it read four real visitors below.

Scored in 38ms · inside your floor & ceiling SCORING VISITOR
SK
Same product · their price
List price $240
$240
+$0 captured
Floor $200List $240Ceiling $300

Same weekend break. Different visitor. Different price. The engine does this on every session — inside the floor and ceiling you set.

Why this is free money

You already earned this revenue. Stop wasting it.

A flat price charges your most eager buyer the same as your most reluctant one. Everyone above the line paid less than they would have — that gap is close to pure profit. No ads, no stock, no staff to capture it.

$4B+
spent on dynamic-pricing software last year. The world's biggest companies stopped using one price long ago
+86%
more profit than they made at the flat price they charged before — same product, same traffic
+19%
extra profit from personalization — beyond even the single best price A/B testing can find

Market size from industry research (2025). The +86% and +19% profit figures come from a peer-reviewed field experiment: Dubé & Misra, Journal of Political Economy (2023). Directional, not a promise — your audit measures your own number.

Why it works

The perfect single price still leaves money behind.

Each bar below is one customer and the most they'd happily pay. Set one price for all of them and look what it costs you.

your one price they'd have paid more ↑ you collect too pricey — they walk every customer · most willing → least
1
One price, two losses. Raise it and bargain-hunters walk; lower it and everyone happy to pay full price underpays. One number can't win both ends.
2
A/B testing tops out. It only finds the best single price — which still captures about half the profit of pricing each customer to what they'd pay.
3
We price each customer. Higher for those who'd gladly pay it, lower to win those who'd walk — money one price can never reach.

This isn't fringe

The most valuable companies don't use one price. Neither should you.

From Amazon to Delta to Marriott, the companies that win price dynamically — matching the price to the moment and the customer. It used to take a data-science team. PriceMaxxing does it for you.

Reprices items every ~10 minutes.

$638B in 2024 sales

AI fares that move with live demand.

$61.6B record 2024 revenue

Fares shift in real time with demand.

$193B in bookings, 2025

Room rates reprice daily by demand.

World's largest hotel company

In-demand seats priced to the market.

Record 2025 results

Dynamic pricing across millions of stays.

~$23.7B in 2024 revenue

Delivery fees flex with demand.

+24% revenue growth, 2024

"Smart Pricing" tunes each rate.

$11.1B record 2024 revenue

All product names, logos and brands are the property of their respective owners. PriceMaxxing is an independent service and is not affiliated with, endorsed by, sponsored by, or a vendor to any company referenced above. Names are used solely to factually illustrate industry-standard dynamic-pricing practices.

Powered by 60+ real-time data points · under 40ms

It knows who's about to overpay — and who's about to leave.

Four dimensions, scored the moment a visitor lands. A representative slice below.

Who they are

Location & regionIncome bandDevice & OS tierWork vs. personal emailCorporate vs. home network

How they got here

Branded-search intentCoupon / comparisonPaid vs. organicUTM & campaignNew vs. returning

How badly they want it

Visit countTime on page & scrollCart valuePrior abandonmentCheckout urgency

What's scarce right now

Time of day & weekdayDemand vs. supplyInventory leftTime to expiryLocal events, weather & season

…and 40+ more, weighted live per visitor.

What we actually do

We don't hand you a widget. We build your pricing engine.

PriceMaxxing is a managed partnership. We go deep into your business and your data, build the model, integrate it, set the guardrails with you, and prove the lift — then run it for you.

We learn your business first

Discovery into how you price today, your margins, and your limits. We build on your reality — not a template.

We build the model on your data

Your history, live per-visitor signals, and demand forecast become a willingness-to-pay model tuned to you — past, present and future.

We integrate into your stack

Real integration into your checkout, booking or pricing systems so the engine sets the shown price. Scoped per system — this is built in, not bolted on.

Guardrails, not gouging

Every price sits between a floor and ceiling you set. When a visitor is price-sensitive, it drops the price to win a sale you'd have lost.

If we don't pay for ourselves, you don't keep paying.

Simple, flat pricing: one build fee and a flat monthly — no revenue-share, no attribution games. Your engine runs against a live holdout of your old price and we report the lift in dollars. If it hasn't paid for itself within 90 days of go-live, you don't pay another cent — we refund your last month and keep working for free until it does. We can promise that because we only take clients where the ROI is a landslide.

The math, in ten seconds

How much are you giving away a year?

A rough, conservative estimate of the profit walking out the door today — money you already earned.

Across the products you'd price dynamically.
$
More volume means more data to price on — so a higher modeled uplift, up to a conservative cap.
/ mo
Estimated extra profit, per year
$3.5M
Almost pure profit — from customers who'd have paid it anyway.

Every month$290k
Modeled price uplift7.0%

An estimate, not a quote. Your audit replaces this with real numbers from your data.

The pricing leak audit

Find out what you're
leaving on the table.

A free teardown of where your pricing leaks money today and what the engine would recover — in dollars, on a call, before you commit to anything. And if we don't pay for ourselves, you don't keep paying.

No engine goes live until you've seen exactly what it would recover.

Straight answers

FAQ

Real-time pricing is already normal — airlines, hotels and rideshare reprice openly every day. The engine only moves inside floors and ceilings you set, and where a jurisdiction requires disclosure it shows one. Most customers never see a price above what they'd have happily paid — and price-sensitive ones see a lower one.

No — it's charging each person their number. When a visitor is price-sensitive, the engine drops the price to win a sale you'd otherwise lose. Flat pricing loses the high end and the low end at once; this captures both.

A randomized slice of your traffic keeps your old flat price as a control. We measure against it, strip out seasonality and demand swings, and report the lift in dollars on a schedule — so the number is measured, not claimed. It's also what backs the guarantee.

Honestly, no — and that's the point. We go deep: discovery, building the model on your data, and integrating into your pricing systems. That upfront investment is exactly why it works when plugins don't. We do the heavy lifting; we need your data, system access, and a few decisions from you.

Simple, flat pricing — one build fee and a flat monthly, sized to your business. No revenue-share and no attribution games: you keep every dollar of lift above the fee. And it's guaranteed — if the live holdout doesn't show we've paid for ourselves within 90 days of go-live, you stop paying and we keep working for free until it does. We share exact numbers on your audit call.

Because you shouldn't need an accountant to read your invoice. A flat fee means no monthly argument about what counts as "lift," no revenue-share eating your upside forever, and no penalty for succeeding. We still run a live holdout and report the lift in dollars — that's how the guarantee is backed — we just don't bill off it. You get the proof without the meter.

Dynamic pricing is widely used and lawful. Personalized pricing is a newer, evolving area, so we configure it conservatively — disclosure and compliance settings per jurisdiction, guardrails you control, and never pricing on protected characteristics. We keep you on the right side of the rules as they develop.