Vinoffer, wine offer
Wine Analytics platform on retailers and restaurants
Markets    Methodology    Features    Pricing
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Your wine's presence

Analyze your brand visibility and compare to your competitors. Identify your final points-of-sales. Monitor the evolution of your brand visibility year to year.

Pricing strategy

Compare your release price and market price variation to your competitors. Analyze your retail price disparity: average, highest and lowest price.

Analytics for Analysts

Get a complete view of wines in key markets in Asia, in America and in Europe. Main metrics are: numeric distribution, avg. price, share %, and avg. wines.

Analytics for Marketers

Access detailed data (all origins, all brands, all vintages, all varietals, and so). Get a precise understanding of retail prices.

See where we collect wine data


  • We visit 150 to 350 points-of-sales by city in America, Europe and Asia once in a year

  • We visit points-of-sales such as wine shops, restaurants, hypermarkets, supermarkets or department stores.Our field team records wine offer in store (camera) and wine list in restaurants (pictures). The full wine offer is recorded by our cameras. We use image recognition technology on wines that our field team find in stores.

All Wines are collected

  • All the grape-based wines are collected, from all the origins, all categories, all sizes

  • When store-checking we record each front label information of each wine. We also collect materials (bottles...) as well as sizes. As this is a wine audit, we all save regular and promotional prices. So, we collect all categories, all origins, all brands, all varietals, all vintages, all colors, all sizes, all materials.


  • The samples are based on the landscape of outlets selling wine. Since 2009, we have been collecting and regularly updating our database of outlets with thousands of records. Each outlet is codified upon several criteria such as distribution channel, belongs to a group/independent, gourmet/traditional, location, opening date, cuisine and average price per meal, etc. The sampling is done based on those criteria to be as much representative as it can be. Non-standard outlets are excluded to not bias analysis.

  • On-trade: The more mature a market is, the higher the number of high-street restaurants will be in the sample. Hotels: 1 to 2 restaurants selected per major 4 or 5 star-hotel - High-street restaurants based on: Location, Cuisine, Average price per meal - Wine Bars: only few. Online merchants: mix of traffic indicators and size of the wine offer. Speciality channel: - Chain stores: 1 to 3 per major chain (upon the market maturity and therefore the number of chains) - Independent stores: priority to those established for some time and/or the most reviewed by shoppers on the internet (to avoid the turnover of outlets, quite frequent in Chinese cities). Grocery channel: - Chain stores: all the main supermarkets and hypermarkets brands are surveyed. The number of selected stores depends on the number of stores of each retailer per city + the different formats of stores they may have. - Independent stores / CVS: few, depending on the market maturity (not the focus).

Platform - fast and easy

  • Our clients can analyze their wines and the competition by origin, by brand, by varietal, by material, by price brackets... You can extract as an image, as PDF file or export to Excel

  • Our online platform of analysis makes powerful data visualizations using our wine data. Our clients can explore, analyze, and access from anywhere. Get actionable analytics fast. Live visual analytics fuel unlimited data exploration. Interactive dashboards help you uncover hidden insights on the fly. Ask new questions, spot trends, identify opportunities, and make data-driven decisions with confidence.


  • Average items, market share, placement, average price are some metrics available on Vinoffer platform of wine analytics

  • Every report in Vinoffer is made up of dimensions and metrics. Metrics are quantitative measurements. The tables in most reports organize dimension values into rows, and metrics into columns. In most reports, you can change the dimension and/or add a secondary dimension.


  • All label informations are available as dimensions. You can use them as filter or axis. Besides levels of granularity have been added

  • 20 dimensions + levels of granularity. Every report in Vinoffer is made up of dimensions and metrics. Dimensions are attributes of your data. The tables in most analytics reports organize dimension values into rows, and metrics into columns. In most analytics reports, you can change the dimension and/or add a secondary dimension.

Wine Analytics that work the way you think

  • Brands

    Track Competition, balancing your wines portfolio. You can display any dimensions you would like to analyze: brands, wineries, orgins, varietals, retailers.

  • Origins

    What is the market share per countries of origin. Display data upon level of granularity: wine regions, groups of origins, Protected Designations of Origin / GIs.

  • Retailers

    What is the percentage of points-of-sales where your wines can be found in? Choose the distribution channels (on-trade, specialty stores, onlin merchants, grocery)?

  • Presence

    Are your wines available at the right place, at the right time? What do your competitors do, and how can you learn from that and/or differentiate?

  • Price

    What are the average price? Let's compare pruces with your competitors? Which vintages impact the most?

  • Number of Wines

    What is market share of each one? You can know the average number of wines per point-of-sales, as well as the total wines.

  • Extract on Excel

    Extract data to Excel. You can choose the way to export: either as a crosstab or a list of data.

  • Export as Image

    You would like to insert charts in your Powerpoint presentation, export charts as Image format.

  • Download as PDF

    Export as a PDF document. Select either a Portrait or Landscape orientation and a Paper Size

  • Edit

    Change dimensions displayed. Use any filters. Select the level of granularity you want to work on.

  • Save

    You can save your work at anytime while analyzing or interacting with data.

  • Collabore

    Comments let you share a conversation about data discoveries with other users.