Spend accountability and the sober-curious consumer — marketing analytics for beer and non-alcoholic brands. The full track, in order:
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The Pie and Donut Chart in Brewing: Use It Sparingly (Three Cases)
The pie chart is overused and often the wrong choice, but it has a few honest beer use cases. Where a pie or donut genuinely works, where a bar chart beats it, and the one rule that keeps it readable.
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The Geographic Map in Brewing: Three Beer Use Cases
When location is the variable, a map beats any table: choropleths, dot maps and catchment views put beer sales on the ground. Three beer use cases (territory performance, distribution coverage, taproom catchment) and the map traps to avoid.
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Reading the Room: NLP on Beer Reviews and Ratings
How NLP on beer reviews and ratings extracts themes, sentiment, and flavour descriptors to track perception and catch product issues early.
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AI for Beer-and-Food Pairing
How AI pairing models and knowledge graphs combine flavour intensity and contrast to suggest beer-and-food matches for menus, taprooms, and apps.
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A Virtual Beer Sommelier: Recommendation Chatbots
How an LLM beer-sommelier chatbot asks preferences and recommends beers in natural language, and why it must be grounded in your real catalogue.
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AI for Beer Logo and Brand Recognition
How computer vision detects beer logos and labels in photos, shelves, and social images for brand monitoring, share-of-shelf, and sponsorship measurement.
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AI for Beer Naming and Trademark Screening
Why LLMs make generating beer names easy but the real value is screening candidates against trademark databases to avoid costly brand conflicts.
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A New-Product Launch Tracker in Tableau
Build a new-product launch tracker in Tableau using LOD calcs, table calculations and Pulse to follow trial, repeat and rate-of-sale per door.
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A Brand and Marketing Performance Dashboard in Tableau
Blend ad spend, sales and social in Tableau to build a brand and marketing dashboard with channel ROI, funnel views and an honest take on attribution.
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Segmenting the Sober-Curious: The Non-Alcoholic Beer Consumer in Data
How to segment the non alcoholic beer consumer using behavioral and attitudinal data: a framework for brewery executives.
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Marketing Mix Modeling: What Really Drives Beer Volume
Marketing mix modeling for beer brands: a framework for understanding which spend drives volume and which is just noise.
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Brand Equity Analytics: Measuring What Your Beer Stands For
A practical framework for brand equity measurement in beer: tracking awareness, relevance, and pricing power with data.
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Personalization in Beverage DTC Without Creeping People Out
How beverage DTC personalization builds loyalty and repeat revenue without triggering the surveillance-marketing backlash that alienates customers.
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Social Listening: Early Signals of the Next Flavor Trend
How social listening for breweries surfaces early flavor trend signals, before they appear in scanner data or trade press.
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Attribution: Connecting Spend to the Tap Handle
Marketing attribution for beverage brands: how to move beyond last-touch models and connect media spend to actual distribution and volume outcomes.
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Launching a Non-Alcoholic Line: A Data-Driven Go-to-Market Playbook
A structured go-to-market playbook for non alcoholic beer launch, from consumer insight through channel sequencing to commercial success metrics.
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AI-Generated Brand Content: Where It Helps and Where It Lies
An honest look at AI marketing content risks for beer brands: where AI adds real value and where hallucination, false specificity, and fake flavor authority undermine trust.
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GenAI Marketing for a Product You Cannot Sell to Minors: Policy-as-Code, a Pre-Publish Classifier and a Red-Team Eval Set
Part 2 of Responsible AI for Beer, Whisky and Wine. How to use generative AI for beer, whisky and wine marketing without breaking the alcohol codes: the Portman Group under-25 rule, the 73.8 and 73.6 percent adult audience standards in the US, India's surrogate advertising rules and the EU AI Act transparency duties. Built as guardrails in code: a policy file, a pre-publish classifier, a red-team eval set, human sign-off and a log.