Back to Basics: How We Work with Wine Businesses

This week I’ve had, very fortunately, opportunities to present Enolytics to a variety of audiences, and describe a bit about what we do.  

As exciting as it is to brainstorm “moonshots” and imagine solutions to highly technical problems, however, my takeaway was this: the fundamentals need to be in order first, and they also need to be understood clearly by the audience.  

That’s the foundation you build on.  

So today I’d like to take a moment to share the fundamentals of what Enolytics does, and how we work with wine businesses of all sizes.

Two things.  

1. We work with the data that a wine business already has. We package and visualize that data so that the intelligence it holds is more easily accessed, and provides insights for strategic and operational opportunities. The business itself determines which data they deliver to us, and in which format.

Some examples:

  • DTC data, in order to truly understand your customer base, wine club membership program and different channels and ultimately increase your DTC revenue stream.
  • On Premise and Off Premise Data, in order to better understand and serve these different channels and increase volumes and financial performance.
  • Operational Data, in order toincrease efficiencies and reduce costs along the entire spectrum of your operations.

2. We work with third party sources, our big data partners, in order to mine wine consumer data records for insights into a particular brand or question. We tap into different partners, depending on which are best positioned to deliver the most direct and relevant responses to the client’s needs.

Some examples:

  • Consumer sentiment and behavior around a particular brand or competitive set, providing valuable insights on how to convert additional consumers.
  • Geographically specific cohorts (typically visualized as heatmaps) of consumer interest in particular varietals or styles, allowing you to accurately pinpoint your marketing and sales efforts.
  • Price point analysis.

Does that make sense? If not, please let me know.

Do any of those examples resonate with you? Please let me know that too, along with your ideas and questions.

Thank you, as always, for taking the time to read Enolytics 101 --

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