Does Carteia put tracking cookies in the menu?

No. Menu statistics are cookie-free: we measure anonymous, aggregated events. No aggressive banner for your customers, and no consent required to see your own data in the dashboard.

How much does the AI brief cost?

You get 2 free briefs per month from the Ristorante plan onward. Each additional brief costs 5 credits. Briefs already generated remain available to read for free.

What is 'revenue per seat hour'?

It is how much you earn on average from each seat while it is occupied (revenue divided by the actual covers for the duration of the sitting). It is the cousin of the restaurant industry's RevPASH. We explain it thoroughly in the dedicated guide.

Where do the customer searches come from?

From the search bar of your public menu. We record the searched text anonymously, including searches that find nothing: that is 'unmet demand'.

Insights and statistics: from the menu to the dining room

In brief

The Statistics page (/dashboard/analytics) is where you understand, with numbers in hand, what is happening in your venue: how many people open the menu, which dishes they look at and which they actually order, where bookings come from, and how much each seat in the dining room earns. The higher your plan, the finer the reading becomes — all the way to forecasts for the coming days.

We tell the story of every statistic in two ways: a quick reading for those who have two minutes in the kitchen, and a deeper reading for those who like to reason about numbers. You do not need to be a data expert: we tell you what to look at and what to do with it.

Everything is anonymous and aggregated: no cookies in the public menu, no consent to see your own data in the dashboard.

Statistics page of Trattoria Demo: title, period selector (7D/30D/90D/1Y/All), section index, and the main KPIs (visits, dish impressions, clicks, CTR). — The Statistics page: the period and the index at the top; the KPIs below. The sections unlock as you move up in plan.

What is measured

When someone opens your page or your menu, Carteia records an anonymous event: which page they opened, in which language, where they came from. From here come the numbers you see:

Visits — how many times the menu was opened.
Impressions — how many times dishes appeared before the customer's eyes.
Clicks — how many times a dish was tapped to open it.
Detail views and favorites — genuine interest in a dish.

From the Bistro plan onward, signals from the public pages also come into play (what customers search for, which filters they use, which QR they arrive from) and, from Ristorante, the data generated by service (table orders, sittings in the dining room, bookings, event requests). Robots and scrapers are filtered out, so your numbers stay clean.

What you see, plan by plan

Basic snapshot — Assaggio and Osteria

On Assaggio and Osteria you see a snapshot of the last 7 days with the 3 numbers that matter: menu visits, dishes viewed, clicks. It helps you understand whether it is worth moving up to a plan that unlocks everything else. You see the other sections as a preview, with an invitation to unlock them.

Full statistics — from Bistro

From Bistro, the menu's operational panel opens up:

Period of your choice: 7, 30, 90, 365 days, or all.
Comparison with the previous period: every number tells you whether you are growing or declining.
Day-by-day trend of visits, with a chart.
Top dishes by clicks, views, and favorites.
Customer languages, as a percentage: it tells you if you have more tourists than you think.
Automatic suggestions (e.g. "this dish is viewed a lot but clicked little: change the photo").
Menu operational health: a score on photos, descriptions, allergens, and hours, with the actions to improve it.

Funnel by category with impressions, clicks, and views, and the interactive dish heatmap. — Funnel by category and dish heatmap: where eyes and taps concentrate.

When a customer uses the search bar of your public menu, we record what they typed. Two lists come from this: the most searched and — the most valuable part — unmet demand, that is, the searches that found nothing.

Menu searches section: on the left, the list of the most frequent searches with the count; on the right, 'unmet demand' with the zero-result searches. — On the left, the most frequent searches; on the right, the ones that came up 'empty': here customers tell you what they would want and cannot find.

It is the only data point in which the customer explicitly states what they want. Available from Bistro onward.

Three counters that tell how customers use the menu:

Allergen filters most activated (for example "gluten", "lactose").
Language switches: which languages customers shift the menu to.
QR sources: which physical material the scans come from (table, window, flyer, receipt, social…).

Engagement on the public menu section with three columns: most used allergen filters, language switches, and QR sources, each with the count. — Allergen filters, requested languages, and QR sources: three concrete signals about who your customers are.

Available from Bistro onward. The source of each QR is set in the QR studio and is available on all plans.

Advanced insights — from Ristorante

Everything in Bistro, plus tools for real management.

Weekly AI brief Senza costo aggiuntivo

A summary written by the AI on the real data of your venue: it flags trends, unusual things, and proposes 3 concrete moves. You get 2 free briefs per month; each additional brief costs 5 credits. Those already generated stay there, to reread for free.

When customers arrive (day × hour)

A 7-day × 24-hour grid that shows when scans concentrate: useful for organizing shifts, choosing when to hold an event, or when to launch a promo.

Dish matrix

It places each dish in 4 boxes by cross-referencing popularity (clicks) and margin (from food cost): Star (popular and profitable), Workhorse (popular but low margin), Puzzle (profitable but rarely clicked), Dog (little loved and unprofitable). If you have not yet entered recipes in Food Cost, the matrix uses popularity alone.

Menu engineering matrix: table of dishes with clicks, margin, and quadrant (Star, Workhorse, Puzzle, Dog). — Each dish classified by popularity and margin, with the detailed list.

This is the metric that menu engineering was missing: it cross-references, dish by dish, how much a dish is viewed on the digital menu (impressions, clicks, opened cards) with how much it is actually ordered from table orders. It calculates the click → order conversion rate and flags two cases on its own:

«Viewed, not ordered» — lots of interest, few sales: a problem of price, photo, or description.
«Sold without a showcase» — it sells even without online visibility: it deserves a better position in the menu.

'From the viewed menu to the sold menu' table: for each dish, impressions, clicks, cards, quantity sold, revenue, and conversion percentage, with the 'Viewed, not ordered' badge on some dishes. — For each dish: how much it is viewed, how much it is sold, and the conversion. The red badge flags the dishes that are viewed a lot but ordered little.

Available from Ristorante onward with the QR table orders add-on active: both sources are needed (menu interest and real sales). The extended order analytics (service times, payment mix, tips, ticket by origin, revenue per table, kitchen load) and the 6-sheet Excel export live in the Analytics page of the orders module.

Most clicked combos

The pairs of dishes opened in the same visit (within 30 minutes). Ideas for a tasting menu or for the server's recommendations.

Booking intelligence

The booking numbers laid bare: confirmation and no-show rate (with a warning if it exceeds 10%), average covers, average lead time, and the fill rate for each time slot set in Rooms and Tables.

Booking channels

Compare the channels bookings come from — Vetrina Carteia, Widget sito (the widget on your website), Inserite a mano, Import — with volumes, outcomes, and no-show rate per channel.

Available from Ristorante onward. The no-show risk score of the individual booking (a badge on the board, with the reasons in the tooltip) lives instead on the Bookings board: see Advanced Booking.

Private events: from contact to contract

It turns event requests (birthdays, corporate events, ceremonies…) into numbers by type: conversion rate, average value of the requests won, lead time of the request, and time to first contact.

Private events table: for each event type, requests, won, lost, win percentage, average value, lead time in days, and average time to first contact. — For each type of event: how many you win, how much they are worth, and how long you take to reply to the first request.

Available from Ristorante onward. To manage requests and quotes, see Events and Event quotes.

Dining room: occupancy, revenue, and waitlist

Three views built on the real sittings from the LIVE table service:

Occupancy heatmap (day × hour): guests seated, from the real table sessions.
Turnover per room: sittings, average duration, covers, linked revenue, and revenue per seat hour (how much each seat earns while it is occupied).
Waitlist KPIs: real wait vs promised, queue→table conversion, lost covers.

Dining room section: occupancy heatmap by day and hour, turnover table per room with the 'Resa posto-ora' column, and the waitlist KPIs (in queue, seated, real wait, promised wait, lost covers). — At the top, occupancy by day and hour; in the middle, revenue per room; at the bottom, the waitlist, with the comparison between real and promised wait.

Available from Ristorante onward (requires the Table Manager, which generates the sitting data).

Anomalies

When a number moves in an anomalous way compared to the average (e.g. "Clicks on Starters −28% compared to the average"), you find it here. The calculation runs every night.

Insights for chains — from Insegna

Everything in Ristorante, plus the tools for multiple locations and the forecasts.

Customer segments

Carteia divides your customers into 6 groups based on when they last came, how often, and how much they spend: Champions, Loyal, Promising, New, At risk, Lost. It updates on its own every night.

14-day forecasts

An estimate of visits and bookings for the next 14 days, based on the trend by day of the week.

Comparison with similar venues (anonymous)

You compare yourself with venues of the same cuisine, city, and price range. It is only if you consent and stays anonymous: if there are fewer than 20 venues in the group, we show nothing.

Comparison between your locations

If you manage multiple venues, a table compares them: visits, CTR, bookings.

Loyalty program engagement

In the Loyalty page you find the pulse of the program over the last 30 days: active members, dormant ones (points on balance but inactive for 60 days), points accumulated and redeemed, redemption rate, and average time to redemption. It is included from Insegna onward (the plans with loyalty).

Costs in credits

Almost everything is included in the plan and free to consult. The only pay-as-you-go item on this page is the AI brief when you exceed the 2 free ones for the month.

Feature	Included in plans	Credit cost per extra generation
7-day snapshot	All plans	0
Menu searches / public engagement	Bistro onward	0
Period comparison / top dishes / languages	Bistro onward	0
Dish matrix / combos	Ristorante onward	0
View → order conversion	Ristorante onward (+ orders add-on)	0
Booking channels / event funnel	Ristorante onward	0
Dining room: occupancy / revenue per seat hour / waitlist	Ristorante onward	0
Weekly AI brief	Ristorante onward (2 free/month)	5
Customer segments / forecasts / comparisons	Insegna onward	0

In the dashboard there are three places with numbers. This guide covers the first one:

Statistics (/dashboard/analytics) — what this guide is about: menu, orders, bookings, dining room, forecasts.
Marketing AI Insights (in Marketing) — advice written by the AI on your campaigns. They unlock from Insegna onward, and each consultation, beyond the free ones for the month, costs Senza costo aggiuntivo. Details in the Marketing guide.
Campaign statistics (in Marketing) — the results of the emails and messages sent. These too from Insegna onward.

Menu statistics are cookie-free: we measure anonymous, aggregated events, without identifying the individual person. The new public page signals (searches, filters, QR scans) are anonymous too: the search text is normalized and truncated, the session identifier is volatile (per browser tab), and no IP or user-agent ends up in the database. So:

In line with GDPR and ePrivacy, without asking for consent for your own numbers.
No annoying banner that disturbs the customer while looking at the menu.
It works even with the cookie blockers of Safari and Chrome.

The most sensitive data (customer segments, anomalies, briefs) stays yours alone: each venue sees its own. The comparison with similar venues always passes through the 20-venue threshold.

Where the public page data comes from

Many of the new statistics come from what customers do on their phones, on your page and on your menu: they search for a dish, activate an allergen filter, switch language, scan a QR. It is the customer side that feeds, anonymously, the engagement cards.

Public page of Trattoria Demo on a smartphone, with the Book a table and Open the menu buttons and the language selector. — The customer side: from the showcase (booking, language switch) and from the menu (search, allergen filters) come the signals you read in the statistics.

Public menu on a smartphone with the search bar 'Search dish, ingredient…', the filters button, and the categories. — The customer side: from the showcase (booking, language switch) and from the menu (search, allergen filters) come the signals you read in the statistics.

Next steps

Revenue per seat hour (RevPOSH) — the deep dive on the most important KPI of the dining room.
Table management — the LIVE service that generates the occupancy and revenue data.
QR table orders — unlocks the view→order conversion and the extended order analytics.
Food cost — to have the dish matrix complete on margin too.
Plans and credits — the details on credits and limits.