See whether your guest score supports your rate.
And where the market is pulling ahead.
Compare your Booking.com score, 10 guest-experience categories, score movement and review volume with a named competitive set — then place rate and score on one price-value map.
A score gap is a signal, not a diagnosis. Peaqplus shows where to investigate so revenue, operations and marketing can decide whether the next move belongs in price, service or positioning.
Turn reputation into commercial context.
The same source-linked comparison helps the revenue manager defend the rate, management prioritize the next operational question, and marketing verify what the hotel can credibly promise.
See whether a competitor wins with rate, guest score or both before matching a price that may not address the real difference.
Start with the category where the hotel trails the compset, then investigate the review text and operation behind it.
Use a relative strength as a messaging hypothesis, confirm it in guest language, then measure whether the rate can hold.
An 8.7 means little without the market, trend and rate.
Two hotels can publish the same rate and compete from very different guest-score positions. A rate comparison alone cannot show whether the gap is price, perceived value or both.
Peaqplus stores nightly, source-linked snapshots of the published Booking.com total and category scores for your named competitive set. The result is a traceable position and history, not a quarterly screenshot.
The module does not collect or respond to reviews, and a score gap does not reveal its own root cause. It tells the team where to read, ask and investigate next.
- Same named competitive set as Rate Intelligence — 5 competitors in the standard bundle
- 11 Booking.com dimensions — total score plus 10 guest-experience categories
- 90 / 180 / 365-day score history and review-volume pace
- 30-review reliability threshold — small samples are dimmed
- Timestamp and source link retained with the observed score
Position. Evolution. Strengths. Map. Volume.
Each answers a different question about the published score side of the competitive set. The price-value map is the only report that crosses rate and score; the other four keep the guest-score signal separate.
"Where do I stand today, every category?" — 11-row matrix.
"Who's rising, who's slipping?" — stairs-pattern timeline.
"What supports the promise; what needs attention?" — relative score gaps.
"Does the score support the rate?" — 2D scatter, 4 relative positions.
"How much recent activity sits behind the score?" — new-review pace over time.
Where you stand. Every category.
A source-linked snapshot of the Booking.com total score plus 10 sub-categories such as cleanliness, staff, value for money and comfort. See your position beside the named competitive set instead of judging the score in isolation.
- Matrix table — 11 rows × your competitors as columns, own row highlighted
- Per-cell history — hover for a 90-day score sparkline and a 1-week / 1-month / 3-month delta
- 30-review reliability threshold — small-sample categories (e.g. paid wifi) are dimmed so they don't skew the "top strength / top weakness" call
- Top KPI strip — your score, market average, position label, strongest and weakest category, your total review count
Who's rising. Who's slipping.
A score line for each competitor, plus yours, across the last 90 / 180 / 365 days. The line moves in steps when the source's published score changes. Switch between the 11 categories to separate a stable market from a relative position that is quietly eroding.
- Stairs pattern — changes in the published score appear as observed steps
- Per-competitor or average view
- Category selector — switch among the 11 dimensions; default is the overall total
- KPI strip surfaces the biggest improver, the biggest slipper, and your own review-pace (new reviews per month)
What supports the promise. What needs attention.
For every category, a horizontal bar shows the gap between your score and the competitive average. Use the relative strengths as messaging hypotheses to verify, and the gaps as questions for operations — not as proof of the root cause.
- Bars view — one bar per category, dynamic scale, instantly readable
- Matrix view — competitors sorted ascending; the closest competitors surface at the top ("who am I actually competing with on this dimension?")
- Dominance count — KPI shows how many categories you're above market in, and how many you're #1 in
- Commercial handoff — verify a relative strength in the review text before turning it into a campaign claim
Is the rate premium supported?
Price sits on the X-axis and guest score on the Y-axis, with every property as a dot. Market averages divide four relative positions: value lead, supported premium, price-led and exposed premium. The map shows whether rate and score tell the same competitive story; it does not claim to prove why a guest booked.
- 2D scatter — X = average rate · Y = total Booking score · the more reviews, the bigger the bubble
- 4 colour-coded positions — value lead · supported premium · price-led · exposed premium
- Your dot highlighted — white outline + "YOU" label, never lost in the cloud
- Verbal label — the KPI strip turns the relative position into meeting-ready language without presenting it as a causal verdict
How much recent volume sits behind the score?
The same score can rest on very different review volumes. This report sets the score aside and compares the pace of new reviews per day, week or month, so you can judge recency and share of review activity beside the headline number.
- Line chart — one line per competitor showing the new-review pace
- Granularity adjusts itself — 90 days → daily · 180 → weekly · 365 → monthly · keeps the chart readable
- KPI strip — your new-review count, market average, your rank by velocity, fair-share comparison (colour-coded above/below)
- Pairs with score position — the headline score and the activity behind it in separate views
Read the sample, source and module boundary.
The numerical comparison works without AI. Pulse AI can add plain-language analysis when that separate module is active.
Categories with fewer than 30 reviews are dimmed, so a thin sample cannot quietly become the hotel’s “strongest” or “weakest” claim.
Open the 90-day sparkline, 1-week / 1-month / 3-month change, observed time and public source behind the score.
Ask who improved in Cleanliness or how the price-value position changed, then follow the answer back to the underlying report.
Competitor Rate & Review Intelligence: both layers for €59/month.
The purchasable add-on includes Competitor Rate Intelligence and Competitor Reviews Intelligence together. It is included in Growth or available on top of BI Core for €59/month per property, with 5 competitors in the standard scope. The one-time €135 setup includes compset configuration, data verification and 1 hour of team training. BI Core subscription and setup still apply; prices are net of VAT and yearly billing receives a 10% discount.
Compare plans and add-ons →Know what the module measures — and what it does not.
Source, refresh timing, review-management boundary, Pulse AI and the Rate + Reviews bundle, in plain terms.
Hotel review analytics turns published guest scores into comparable positions and trends. Peaqplus compares your Booking.com total score and 10 guest-experience categories with a named competitive set, then adds score history, review-volume pace and a price-value map so the score can inform a commercial decision.
No. Competitor Reviews Intelligence is the competitive and revenue-analysis layer: it monitors publicly displayed scores and volume, but does not send surveys, manage a review inbox or publish responses. A category gap shows where to investigate; understanding the root cause still requires reading the reviews and checking the operation.
The category view uses the Booking.com total score plus 10 guest-experience categories for your hotel and the named competitive set. Peaqplus records nightly, timestamped, source-linked snapshots and keeps 90 / 180 / 365-day views. Categories with fewer than 30 reviews are dimmed so a small sample remains visible as a small sample.
Competitor Reviews Intelligence is sold together with Competitor Rate Intelligence as one €59/month per-property add-on on top of BI Core and is included in Growth. The standard scope covers 5 competitors; the one-time €135 setup includes configuration, data verification and 1 hour of team training. The numerical reports work without Pulse AI; plain-language analysis requires the separate Pulse AI module. Prices are net of VAT, with a 10% discount for yearly billing.
Bring one score gap your team cannot explain.
In a 45–60 minute walkthrough, we use a simulated hotel to compare the guest-score position with a named compset, inspect the category and volume history, and place rate and score on the same map without treating correlation as a verdict.
The demo is free and does not require PMS access. We reply within 1 business day.