Know what they charge.
And when they moved.
Nightly rate signals from your competitive set — current position, price history, booking-window strategy, and supply gaps — surfaced inside the platform you already use for your own data.
Your morning routine compresses. No more five Booking tabs, no more spreadsheet of yesterday's screenshots. The market lands where you make decisions.
The morning routine, compressed.
Most properties run rate-shopping as a manual ritual: one person, five Booking.com tabs, a screenshot, an Excel sheet, twenty minutes. The output is a snapshot, stale by lunch, lost by Friday.
We replaced that ritual. Every night, the rate-monitoring pipeline scrapes your competitive set from the channels they're listed on. By morning, their rates, their movements, their booking-window patterns, and their supply gaps are visible in the same screens where you make your own pricing decisions. No tab-hopping. No screenshots. No stale Friday data.
- Nightly scrape from publicly visible rates only — Booking.com, Szállás.hu, the hotels' own sites
- Up to 5 competitors tracked per property · 120 days of history retained
- Source-attributed — every rate links to the OTA page it came from (your trust signal)
- Read-only by default — we only watch what's publicly visible
- Available with the Growth tier or as an add-on on Core
Position. History. Pattern. Supply.
Each answers a different question about the competitive set. Together they cover the full rate picture — current state, past movement, structural strategy, and the supply decisions hiding behind the price.
"Where do I stand today?" — own rate vs competitive average across the next 30 days, with a gap chart and a matrix table.
"Who moved, and when?" — multi-line scrape-date chart showing rate movements across the last 30 / 60 / 90 days.
"What strategy do I actually run?" — 7 booking-window bins, automatic classification (early mover · capacity-filler · etc.).
"Where do they restrict — and where don't they?" — price-delta timeline + 3-state availability matrix.
Where you stand today. Across the next 30 days.
Your rate, the competitive average, and the gap between them — visible day by day for the next month. The 'where am I in the market this morning?' question gets a single chart and a KPI strip. Trend over the last week and your one-day movement land beside it.
- Spread chart — own price line and competitor-average line with a coloured area between them (green when you're below, red when above)
- Matrix table — every hotel as a column, every day as a row, heatmap-coloured cells, own row highlighted
- Per-cell history — hover any cell for a 30-day price-trace sparkline, last-seen timestamp, channel, meal type, rate type, source URL
- Multi-dimensional filtering — currency, nights, adults, meal type, rate type, channel, room type
Who moved. When.
Most rate-shopping tools show today's prices. This one shows when a competitor changed theirs — the scrape-date is the X-axis, not the stay-date. The 'first mover' on weekend pricing, the late-mover who dropped in the final week, the property that hasn't touched a rate in three months — all visible in one chart.
- Multi-line history — one line per competitor across the last 30 / 60 / 90 days of scrapes
- Mode toggle — average view or per-hotel view; legend lets you focus on one competitor at a time
- First-vs-last delta — every line carries an arrow and percentage showing the net move across the window
- Built for the revenue meeting — who moved, in what direction, with what timing
Are you an early mover, or a capacity-filler?
Seven fixed booking-window bins from 60+ days out down to 0–3 days. Every bin is a relative percentage versus the 60+ baseline. The platform classifies you against the market: are you the conventional pricer, the early mover, the capacity-filler dropping rates inside two weeks, or the late mover with last-minute markups? Self-knowledge at the strategy level, not the daily-decision level.
- 4 strategy categories — Capacity-filler, Early mover, Conventional, Late mover
- 5 market-position labels — Most aggressive · Aggressive · Average · Restrained · Mildest
- X-axis inverted — left edge = "booked early", right edge = "check-in close", reading like the booking window itself
- Mode toggle — average or per-hotel; lookback selectable (90 / 180 / 365 days)
Where they restrict — and where they don't.
A two-layer report: a price-delta timeline (e.g. your direct-booking discount vs the market) and a three-state availability matrix beneath it. The matrix shows which channels are open, restricted, or quietly closed for each day — because the gap is itself a supply decision (a min-LOS rule, a closed channel, a stop-sell). Choose the dimension: channel discounting, length-of-stay discounting, or room-type spread.
- Three dimensions — Channel · Length-of-stay · Room type
- Three-state cells — available · restricted · no-data (the third state matters: empty slots get pruned, not flagged as 100% closed)
- Unit toggle — view the delta in currency or as a percentage
- Cell popovers — same per-cell detail as Market position, with 1-day and 7-day price-change deltas + sparkline
The filter panel. The AI agent. The popover.
Three controls show up on every report. Together they're why the four reports feel like one tool, not four.
Currency, nights, adults, meal type, rate type, channel, room type — seven dimensions to scope the competitive set on every chart.
"What changed overnight in my compset?" or "Who moved on the weekend?" — the AI agent reads the report data natively and answers in plain language.
Every cell has a hover popover: last-seen timestamp, channel, meal type, rate type, room, 30-day sparkline, and a link to the source OTA page.
€59/month add-on. 5 competitors, 120 days history — extend as needed.
Competitor Rate Intelligence is an add-on module — included with the Growth tier or available à la carte on top of BI Core at €59/month for 5 competitors × 120 days. Each additional competitor is +€5/month; extend the history window to 180 days (+25%) or 365 days (+40%). Setup is free: we identify your competitive set during onboarding, configure the scraping filters, and verify rate-match accuracy in the first week.
See all bundles →See the compset surface live.
In our 45–60 minute walkthrough, we run Peaqplus on our live demo environment — a simulated property with rate data that moves day to day — and walk through the spread chart, the price-history timeline, the booking-window classification, and the supply matrix, all populated, all live.
No setup fee. Opt-in add-on.