Wine Menu Analytics: What Your Guests’ Wine Choices Can Tell You
What guests view, save, rate, and click on your digital wine list, and how to turn it into better decisions.
Most restaurants know what wines sell. But that is only one part of the picture.
A digital wine menu can show you what guests are actually exploring before they make a decision: which wines they open, which ones they save, which wines receive ratings, which categories attract attention, and where guests are coming from. That information can reveal patterns that are difficult to see from a printed wine list alone.
This is where wine menu analytics becomes useful. Instead of treating your wine list as a static menu, you can use the behavior around it to understand what guests are curious about, what they respond to, and where your wine program may need adjustment.
What Is Wine Menu Analytics?
Wine menu analytics is the process of using data from your digital wine list to understand how guests interact with your wine selection. Depending on the platform, that can include:
• Wine list visits
• Individual wine views
• Ratings
• Saves and favorites
• Tasting notes
• Buy-link clicks
• Most-viewed wines
• Highest-rated wines
• Guest location or traffic source
• Interest by grape, region, style, or price point
The important distinction is that these are signals of guest behavior, not necessarily proof of purchase. For restaurants, that makes the data useful for asking better questions.
Which wines are getting attention? Which sections are being explored? Which bottles are being saved? Which wines generate ratings or comments? And what does that tell you about how guests are experiencing your wine list?
The Wine Menu Metrics Worth Watching
Not every metric needs to become a weekly KPI. A small group of signals can tell you a lot.
1. Wine Views
A wine view tells you that a guest opened a specific wine to see more information. Across a digital list, comparing views can help identify which wines attract the most attention. If one wine is consistently among the most-viewed selections, it may be worth asking why.
Is the wine in a prominent position? Is it from a familiar region? Does the name stand out? Is the price attractive? Or is the description answering a question guests have?
A view does not automatically mean a guest will order the wine. But it is a useful signal that the wine earned enough attention to be explored.
2. Ratings
Ratings can add another layer to simple viewing behavior. A wine that receives ratings may be generating enough guest interaction for people to actively respond to it. Ratings should still be interpreted carefully, especially when the number of ratings is small. But over time, they can help identify wines that consistently generate positive guest reactions.
3. Saves and Favorites
Saves and favorites can be particularly interesting because they indicate that a guest wanted to keep track of a wine. That can be useful beyond the restaurant visit.
A saved wine could become a future purchase, a bottle someone wants to remember, or a wine they want to look for again. For restaurants and wineries alike, saves can therefore provide a useful signal of continued interest.
4. Buy-Link Clicks
Some wine experiences include links to wineries or retailers. When guests click those links, the restaurant can see that interest continued beyond simply viewing the wine. This can be especially useful for understanding which wines generate curiosity beyond the restaurant experience.
5. Tasting Notes
Guest-written tasting notes, or “Tasteimonials,” can reveal how people actually describe a wine in their own words. That can provide useful qualitative feedback.
Guests may focus on fruit, texture, acidity, aroma, food pairing, or simply whether the wine was memorable. Those comments can help your team understand which characteristics resonate with guests, and potentially inform how wines are described on the menu.
What Your Wine Menu Data Can Tell You
The value of analytics is not the numbers themselves.
It is what you do with them.
Guests May Be More Curious About Certain Categories
Your menu can reveal which grapes, regions, styles, or categories receive the most attention. For example, an analysis of 271 by-the-glass lists hosted on ShareVino, containing roughly 5,000 wines, found that whites represented 47% of pours and reds 37%. France and Italy together accounted for 57% of the wines on those lists.
The same lists also showed Chardonnay, Sauvignon Blanc, Pinot Noir, and Cabernet Sauvignon among the most common grapes. These numbers describe the lists themselves rather than guest behavior, but combining menu composition with interaction data can help restaurants understand whether the selection they offer is also attracting attention.
Your Price Structure Can Become Easier to Understand
Menu analytics become even more useful when combined with the structure of your wine list. Across the same ShareVino lists, approximately 4,560 priced by-the-glass pours had a median glass price of $17, with the middle half between $15 and $21.
That does not mean every restaurant should price around those numbers. Location, concept, wine cost, and guest expectations all matter. But having a benchmark can help a restaurant understand where its pricing sits relative to those lists.
Analytics can then add another question: Which price points are attracting attention? If guests consistently explore wines within a particular range, that may be useful when deciding how to structure future selections.
How to Read Wine Menu Data Without Misreading It
Wine menu data is easy to collect and easy to over-interpret. A few habits keep the signals honest.
Separate Curiosity From Preference
Views measure curiosity. Ratings and saves measure a stronger response.
A wine that receives many views but relatively few ratings, saves, or other interactions is worth investigating. That does not prove that guests rejected the wine. There could be many explanations. The description may not provide enough information. The wine could be unfamiliar. The price may create hesitation. Or guests may simply be browsing.
The opposite pattern matters too. A wine with modest views but a high share of saves may be a quiet favorite with the guests who find it.
Account for Position
Wines near the top of a list, or in the first section guests open, naturally collect more views. Before calling a wine a favorite, compare it with wines in similar positions rather than with the whole list.
Give Small Numbers Time
A handful of ratings can swing a wine’s average. Let data build over several weeks of regular service, and treat any wine with only a few ratings or saves as an early signal rather than a conclusion.
Compare Like With Like
A Saturday in December and a Tuesday in March describe different guests. Compare similar days and seasons, and remember that a new food menu or a sold-out bottle can shift attention on its own.
Know Who Is Looking
Audience data, such as where visitors are coming from and whether they are trade or consumer, adds context. A wine that draws out-of-town visitors may play a different role from one that local regulars keep saving.
Once a pattern holds up, the next step is acting on it. ShareVino’s restaurant wine sales playbook covers that side: placement, tags, and short weekly tests.
Don't Look at Wine Menu Data in Isolation
Analytics should support, not replace, the expertise of your wine team. A wine director may keep a wine because it has an important producer relationship, an unusual origin, excellent food-pairing potential, or a role in the identity of the restaurant. Those decisions cannot always be reduced to clicks and views.
The strongest approach combines three things:
Guest behavior + wine expertise + business context
Your analytics can show you where to look. Your team can determine what the pattern means. And your wine program can decide what to do next.
A More Intelligent Wine Program Starts With Better Information
A wine list used to be mostly a printed record of what was available. Today, it can be much more. A digital wine menu can become a source of insight into how guests discover and interact with your wine program.
ShareVino tracks interactions including visits, wine views, ratings, saves and favorites, buy-link clicks, tasting notes, guest sources, and top wines by views and ratings. That gives restaurants another way to understand their wine list, not just as a menu, but as an ongoing source of guest insight.
And when you combine those signals with your team's knowledge, you can make more informed decisions about descriptions, placement, pricing, categories, and the wines you choose to feature.
The goal isn't to let analytics run your wine program. It's to give your wine team better information to work with.
Make Your Wine List More Intelligent
ShareVino helps restaurants turn the wine list into a connected digital experience, making it easier for guests to explore wines while giving teams useful insight into how their lists are being used.
ShareVino also allows venues and events to create a community of guests and follow up with them about future events or tastings. Guests can follow your venue, rate, and save wines, and with their consent, venues can send campaigns and follow up with their audience.
Explore ShareVino for Restaurants & Wine Bars and see what your digital wine list can tell you.
FAQ
What is wine menu analytics
Wine menu analytics uses data from a digital wine list, such as wine views, ratings, saves, buy-link clicks, and guest tasting notes, to understand how guests explore a restaurant’s wine selection and which wines attract attention.
What wine list metrics should restaurants track
Start with a small set: list visits, individual wine views, ratings, saves and favorites, buy-link clicks, and guest tasting notes. Together they show which wines draw attention, which generate a reaction, and which guests want to remember.
Does a wine view mean the guest ordered the wine
No. A view shows that a guest opened a wine to learn more, not that they ordered it. Views are best read alongside ratings and saves, which show a stronger response than curiosity alone.
How long should you collect wine menu data before drawing conclusions
Long enough for a pattern to hold. Several weeks of regular service is a sensible minimum, and wines with only a handful of ratings or saves should be treated as early signals. Compare similar days and seasons rather than a busy weekend with a quiet weekday.
Does ShareVino provide wine list analytics
Yes. ShareVino reports views, scans, ratings, saves, clicks, and engagement, along with audience insights such as geography. The Pro plan adds an advanced analytics dashboard.
Key Takeaway
Sales show what guests ordered. Wine menu analytics shows what they explored, saved, rated, and clicked on the way to that decision. Read those signals carefully. Account for position, sample size, timing, and audience, and combine them with your team’s expertise and business context before deciding what the data means.
Research Cited
The figures below are used as directional evidence. They describe the lists in the dataset and do not predict the performance of any individual wine, venue, or wine program.
• Platform analytics: Digital Wine Lists, ShareVino. Current description of the views, scans, ratings, saves, clicks, engagement, and audience data ShareVino reports.
• By-the-glass benchmarks: ShareVino platform data. 271 by-the-glass lists hosted on ShareVino, with approximately 5,000 wines and 4,560 priced pours; used for list composition and glass-price benchmarks.