Worth-it.
Or overpriced?
The competitive set on guest score, not on rate. Where you lead, where you lag, who's improving, who's slipping — and how your price-value position lines up against the market on a single map.
Price is one signal. Cleanliness, staff, value-for-money — the dimensions guests rate — is the other. You need both to see the picture.
Score is the other half of the rate.
A property charging €145 with a 9.2 score is in a fundamentally different business from a property charging €145 with a 7.6. The guests booking the first one experience a different value — and the next guest, reading reviews before booking, factors that in.
But most rate-shopping tools pretend the score doesn't exist. They show you what the market charges, and leave you to guess whether those rates are sustainable on the satisfaction side. Reviews Intelligence closes that loop: the same competitive set, scored on guest experience, refreshed nightly from the same public sources as the rates.
- Snapshot + trend — current standing and the 90-day movement, in the same screens
- 11 categories — the Booking total + 10 sub-dimensions (cleanliness, staff, comfort, value-for-money, etc.)
- 30-review reliability threshold — small-sample categories are dimmed, not silently inflating signal
- Source-attributed — every score traceable to its public review-page source
Position. Evolution. Strengths. Map. Volume.
Each answers a different question about the score side of the competitive set. The price-value map (04) is the one that crosses rate and score — the rest are pure satisfaction analytics.
"Where do I stand today, every category?" — 11-row matrix.
"Who's rising, who's slipping?" — stairs-pattern timeline.
"What I lead, what I lag." — delta bars, dynamic scale.
"Worth-it or overpriced?" — 2D scatter, 4 quadrants.
"Hidden gem or viral risk?" — new-review pace per bucket.
Where you stand. Every category.
A snapshot. 11 review categories (the Booking total + 10 sub-categories like cleanliness, staff, value-for-money, comfort) across every competitor as columns. Heat-coloured cells show your delta against each one — green when you lead, red when you lag.
- 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 lines move in steps — a guest score updates the moment a review lands, not smoothly. The 'stairs' shape reflects that. Switch between the 11 categories to see if a competitor lost a half-point on Staff or gained on Cleanliness.
- Stairs pattern — score updates appear as steps, the way they actually behave
- 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 you lead. What you lag.
A horizontal-bar SWOT. For every category, the bar shows the delta between your score and the market average — to the right in green when you lead, to the left in red when you lag. The scale is dynamic: a −1.8 delta is exactly twice as long as a −0.9, so the shape carries information you can read at a glance.
- 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
- Marketing-input ready — pick what to communicate (your leads) and what to invest in (your lags)
Worth-it. Or overpriced?
The hybrid of the set: price on the X-axis, score on the Y-axis, every property a dot. Four quadrants emerge, divided by the market averages: Value King (cheap + great), Premium Satisfied (expensive but loved), Overpriced (cheap but disappointing), Risk Zone (expensive and disappointing). Your dot wears a label and a white outline. The first chart that answers the 'why are guests paying more for that one?' question visually.
- 2D scatter — X = average rate · Y = total Booking score · bubble size = √(review count)
- 4 colour-coded quadrants — divided by market averages on both axes
- Your dot highlighted — white outline + "YOU" label, never lost in the cloud
- Verbal label — KPI strip translates the quadrant into a phrase ("Value King" · "Risk Zone" · etc.) for the revenue meeting
Hidden gem. Or viral risk.
Score-only views miss volume — but volume is half the story. A 9.0 hotel collecting four new reviews a month is invisible; a 7.8 hotel collecting forty is everywhere. This report ignores score and focuses purely on the review-pace: new reviews per bucket (day / week / month, chosen automatically by your lookback).
- Line chart — one line per competitor showing new reviews per bucket
- Bucket-size auto-tunes — 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 "hidden gem vs viral risk" diagnostic
The 30-review threshold. The AI agent. The popover.
The three controls that make five reports feel like one tool, not five.
Categories with fewer than 30 reviews are dimmed across the reports — a small sample shouldn't be the basis of a "top strength" or "top weakness" call.
"Who's improving on Cleanliness?" or "Where am I overpriced?" — the agent reads the score data natively and answers with the actual deltas.
Every matrix cell carries a 90-day score sparkline + 1-week / 1-month / 3-month deltas on hover. Trends and snapshot, same view.
Bundled with Competitor Rate Intelligence.
Reviews Intelligence ships alongside Rate Intelligence — same nightly refresh, same source attribution, same per-property scope. Available on the Growth tier or as an add-on to BI Core.
See all bundles →See the score-to-rate map live.
In our 45–60 minute walkthrough, we run Peaqplus on our live demo environment — a simulated property with data that moves day to day — and walk through the category matrix, the score-evolution timeline, the delta bars, the price-value scatter, and the review-volume lines. Bring a category you suspect is hurting you.
No setup fee. Bundled with Rate Intelligence.