Every price,
explained —
never guessed.
MLiQ fits demand curves from your venue's own booking record, not your industry's, then prices each date off that fit and three explicit floors — cost recovery, displacement, and any minimum you set yourself. It shows the confidence band, and it shows its work.
A price is a
decision, not a
list entry.
A price set from last year's sheet and a feeling about the season is a guess made twice. MLiQ treats every date as its own market — lead time, day of week, tentative holds already on the date, comparable won bookings — and returns one number you can hold a conversation about.
Per-date recommendations
Each open date gets a recommended price with an explicit confidence band. Every evaluation returns a band with its point estimate — a recommendation never travels alone.
Lead scoring on your own demand
Inbound is scored on the venue's own weekday and season curves for the date requested, and every score ships with the sentence that explains it — so the team works the top of the list, not the top of the inbox.
Your curve, not the category's
Weekday, season and event-type curves are fitted from the venue's own booking record, on medians so one outsized booking cannot reshape a weekday. A cell with fewer than eight bookings keeps the shipped default and is reported as unfitted, never fitted on noise.
Every number ships with why
Each recommendation carries the inputs behind it — predicted value and band, arrival probability, breakeven and carrying cost — in one sentence. Nobody has to defend a price they can't explain in a room.
Four answers, not one price
Every evaluation lands on TAKE, HOLD, NEGOTIATE or PASS, with the price band and the sentence behind it. The decision is the product; the price is how it is expressed.
Per-day quoting for multi-day events
A three-day booking prices each day on its own weekday and season multipliers. A day you have blocked prices at zero with the reason named, so a quote never averages over a date you cannot sell.
It lives inside your CRM
Salesforce imports closed-deal history — won deals become bookings, lost ones become demand observations — and every evaluation writes back onto the record. HubSpot and Pipedrive connect for lead import.
The operator sets the floors
Date classes, blackouts, a per-date minimum and your venue's own variable and fixed costs feed the floors directly. A tentative hold carries its own expected-value window and conflict check; a what-if is one call.
Sample data Drawn procedurally in your browser — no screenshots, no stock imagery. The figures on it are illustrative, not a customer's.
The pricing lab.
A constant-elasticity demand model, solved in your browser as you move the controls — an illustration of the tradeoff, not the shipped engine. This is the shape of the question MLiQ answers for every open date on a venue's calendar: what does this Saturday cost?
Illustrative revenue curve · constant-elasticity demo
Illustrative model Elasticity above 1 means demand falls faster than price rises — the regime where discipline pays. The lab holds cost constant so the tradeoff stays legible. Every number it prints comes from the demo curve above, not from MLiQ.
Honest about
its own limits.
A pricing model that only ever sounds certain is a liability. MLiQ reports the band, names every cell it could not fit, and downgrades a confident TAKE to NEGOTIATE when there is no comparable history behind the date.
Basis for the backtest: MLiQ's fitted curves replayed against 666 billed reservation-days of one venue's own booking history and scored against the rate card that venue actually used — 56.4% head-to-head, MAE $29,308 vs $32,354, bias −$1,903 vs −$13,445. It is a retrospective, in-sample benchmark, not production traffic, and it measures agreement with the price the customer accepted rather than counterfactual profit. What MLiQ refuses to do: no fabricated metric, no invented delta, and a dash instead of a number when history doesn't exist yet.