How to sell more wine on the floor with data: from intuition to system
Wine sells better when the team has data, not just good intentions. Learn how to use real information to increase wine sales in your restaurant.
The problem: selling wine blind
Most restaurants sell wine without data. The team recommends what they know (or what they like), prices are set with a generic multiplier, and nobody really knows what works until the quarterly inventory arrives. This is not negligence — it is the industry standard. But the standard creates an enormous opportunity cost. What selling with data means Selling with data does not mean eliminating intuition or turning the waiter into an analyst. It means giving the team actionable information so that every recommendation is more relevant and every wine list decision is backed up. > Definition: Data-driven wine sales is the use of sales, margin, rotation and customer behaviour information to optimise what is offered, how it is recommended and at what price.
The 4 data points that transform wine sales
1. What actually sells (not what you think sells) The team's perception is usually different from reality. Without sales data, it is common to overestimate popular wines and underestimate those that actually generate the most margin. What to measure: - Units sold per reference per week - Revenue per reference - Margin per reference - Trend (growing, stable, declining) Practical action: review this data weekly. Move references that have not sold in 15 days. Promote those that sell well but are not being recommended. 2. Where the real margin is Not all wines that sell well generate good margin. And not all high-margin wines sell. Key analysis: cross sales volume with margin per unit. You will find 4 quadrants: - High volume + high margin: your stars. Protect and recommend them. - High volume + low margin: they sell but leave little. Review pricing or position. - Low volume + high margin: hidden opportunity. Train the team to recommend them. - Low volume + low margin: candidates for removal from the list. 3. When wine is sold (and when it is not) Wine consumption follows patterns. Knowing them allows you to adapt the offering. Typical patterns: - Lunches sell more wine by the glass; dinners sell more bottles. - Weekends have higher average spend on wine. - Certain pairings with the menu drive specific wine sales. - Seasonal changes affect which styles sell best. Practical action: if you know that Friday dinner sells 40% more red wine, make sure the team has the best reds prepared and positioned. 4. How the team sells The difference between a team that recommends and one that does not can be 30-50% in wine sales. But you can only improve what you measure. What to measure: - Wine sales per waiter (total and per cover) - Average price of wine sold per waiter - By-the-glass vs bottle ratio per waiter - Conversion: tables that order wine vs tables that do not Practical action: share the data with the team without judging. Set collective goals. Celebrate progress.
How to implement it without overwhelm
Phase 1: Measure (week 1-2) Start recording basic sales by reference. Just knowing what sells and what does not is a leap forward. Phase 2: Analyse (week 3-4) Cross data with margins. Identify the 4 quadrants. Make one decision: remove one wine and promote another. Phase 3: Communicate (month 2) Share key data with the team. Not spreadsheets — actionable phrases: "this wine has 65% margin and customers who try it reorder 40% of the time". Phase 4: Systematise (month 3 onwards) Automate data collection. Review weekly. Make decisions based on evidence, not habit.
Common mistakes
1. Collecting data but not acting on it. Data without action is just noise. 2. Overloading the team with numbers. They need 2-3 key facts per wine, not a spreadsheet. 3. Changing everything at once. Make one change, measure the impact, then the next. 4. Ignoring the team's experience. Data complements intuition — it does not replace it. 5. Not reviewing regularly. Monthly at minimum, weekly ideal.
Frequently asked questions
Do I need special software? Not necessarily. You can start with a simple spreadsheet. But a specialised tool like Winerim automates data collection and generates actionable insights without manual work. How long until I see results? The first changes (removing underperformers, repositioning hidden gems) can show impact in 2-3 weeks. Systematic improvement takes 2-3 months. Does this work for small restaurants? Yes. In fact, in small restaurants each decision has proportionally more impact. Even tracking your top 10 references is a game changer. --- [Analyse your wine sales →](/herramientas/diagnostico-vino-por-copa) [Request a demo →](/demo)