Aggregated data
The analysis works with lists, references, prices, by-the-glass formats, styles, regions and structural signals. Results are grouped by segment when sample size is sufficient.
Living report 2026
Winerim wine list barometer
A public layer of aggregated and anonymised data to understand where wine lists lose margin, which opportunities repeat and how to compare your restaurant with defensible references.
Based on real wine-list analysis, without publishing client names or sensitive data.
Methodology before headlines
The aim is to publish useful data without turning partial figures into absolute promises.
Anonymisation
Restaurant, hotel, group and client names are not published. Country, city or vertical cuts require minimum thresholds before becoming public benchmarks.
Clear levels
The Barometer separates observed facts, operational inferences and commercial hypotheses so data and opinion do not blur together.
Continuous updates
The page works as a living report: first methodology and patterns, then numerical cuts by country, vertical and list type when the data is consolidated.
What Winerim measures in a wine list
These variables connect the wine library, wine-list analysis, margin and purchasing decisions.
Number of references
List size, depth by category and operational complexity for the floor team.
Price ranges
Bottle and glass distribution to detect gaps, overconcentration and missing ticket ladders.
Wine by the glass
Weight, expected rotation, margin, potential waste and fit with high-selling dishes.
Regions and grapes
Real diversity versus repetition, supplier bias and differentiation opportunities.
Styles and pairings
Coverage of whites, reds, sparkling, fortified, sweet wines and useful pairings for service.
Rotation signals
When operational data exists, sales, stock, margin and stalled references are connected.
First patterns we look for
Actionable signals that appear before advanced models are even needed.
1
Invisible margin
Lists that look orderly but do not clearly connect cost, waste, glass pricing and elasticity by range.
2
Large list without purpose
More references do not mean a better experience if the team cannot explain, recommend and rotate each block.
3
Underused by-the-glass
Wine by the glass can lift ticket and discovery, but it can also lose money without rotation and margin rules.
4
Internal cannibalisation
References that are too similar compete with each other and hide more useful gaps in style, region or price.
5
Disconnected library
When the list does not explain grapes, regions, styles and pairings, guests and staff buy with less confidence.
6
No monthly cycle
Wine lists improve when sales, stock, margin, dishes and seasonal changes are reviewed every month.
Next publishable cuts
Maximum-level expansion should move through segments where Winerim can provide own, comparable data.
Segmento
Foco
Salida
Fine dining
Depth, vintages, pairing and high ticket.
Structure and margin benchmark by range.
Hotels
Room service, banquets, restaurant and bar.
Benchmark by consumption point and shared stock.
Restaurant groups
Consistency across locations and centralised purchasing.
Multi-location benchmark and deviations by venue.
No-sommelier restaurants
Recommendation clarity and staff enablement.
Clarity, glass and pairing score.
Data needed to take it to the highest level
To move from methodological report to strong statistical barometer, these are the most valuable fields.
Full list with name, origin, style, format, bottle price and glass price.
Business type, country, city, average ticket and number of venues, always anonymised.
Sales, rotation, stock and margin per reference when the restaurant can share them.
Main dishes or cuisine categories to connect the list, pairings and real demand.
Analysis period and list changes to separate seasonality from one-off decisions.
Turn your wine list into comparable data
Send your list and Winerim analyses it against the same Barometer variables: margin, structure, glass offer, styles, regions, pairings and improvement opportunities.