Why Alcohol Pricing Models Need Data Scraping for Accuracy

Summary

Introduction

In today’s fast-changing, competitive, and highly regulated alcohol industry, pricing is both an art and a science. The risks are enormous if brands, distributors, retailers, and bars do not price correctly; the global premium alcoholic beverage industry is set to grow from $467.4 billion in 2025 to $1,115.6 billion in 2035 at a CAGR rate of 9.1%. There is only so much profit to be made, and companies must price in a way that maximizes their profit while remaining compliant and maintaining or growing their market share.

However, with every changing variable, fluctuating input costs, regional pricing, tax changes, and dynamic online and offline competitors, the techniques used to set prices operationally are falling behind the pace of change. With the introduction of data scraping, meaning extracting real-time data about how alcoholic beverages are priced digitally and systematically automating that data, we have much better opportunities to create dynamic, competitively relevant, data-driven pricing models for the alcohol sector.

This blog will highlight the importance of data scraping in modern alcohol pricing, presenting key statistics to support this, and demonstrating how companies are now utilizing data scraping to inform their pricing strategies.

The Complexity of Alcohol Pricing

Multiple Pricing Drivers

Supply Chain Costs: The sector is working through usual supply constraints, but input costs are soaring: barley costs are up 33% in a year; aluminum costs have doubled since 2020; and many suppliers have massive logistical and freight cost increases (80% in 12 months).
Inflation: Alcohol producers worldwide, particularly in countries like India, are facing historic inflation levels that now exceed 15.1%. At the same time, state price control remains unchanged, so producers can’t pass on costs to consumers, which is significantly squeezing their margins.
Regulatory Cost: Alcohol taxes typically consist of excise taxes and sales taxes, which add approximately 50% to the retail price, vary significantly, and are dependent on the state or regional level.
Competitive Landscape: Bars and stores compete for consumers, who have become increasingly price-sensitive due to the rapid growth of e-commerce and marketplaces, which has occurred virtually overnight.

Price Elasticity and Consumer Behavior

Alcohol is sensitive to price. A systematic review found that the price elasticity of demand is -0.5 for beer, -0.79 for wine, and -0.80 for spirits, indicating that a 1% price increase results in a consumption reduction of 0.5-0.8%.
While alcohol is 70% cheaper than it was in 1980, like tobacco, the number of people drinking alcohol harmfully has vastly expanded. It has created pressure from public health lobbies to use taxes to raise prices.

Regional Price Variability

In India, state laws regulate the price of alcohol; therefore, you can find differences in pricing within the country. Differences are becoming more pronounced in international prices as well, as online and offline pricing models enable promotional pricing to transition into dynamic pricing.

The Traditional Approach: Its Shortcomings

Static Price Books: Many retailers and wholesalers still use price books that require manual updates, which are generally obsolete in rapidly changing markets.
Manual Competitor Research: The business will review a select small handful of competitor pricing in the wild and may occasionally incorporate infrequent “mystery shopping,” which has fallen behind daily and hourly online pricing and price changes from competitors online.
Old Tax/Costs Data: When an organization is waiting for reports on changes in excise, outgoing costs, and competitor pricing, the reports are typically not available on the same day and in the same hour an opportunity presents itself; every day lost is an erosion of potential margins.

For example, in most bars and restaurants, the average pour cost (which benchmarks the ratio of ingredient costs to sales price) is recommended to target an average cost of 20% to maintain margins. The organization has no way of knowing about changes that would affect its price point and competitive pricing. They could easily price themselves out of business by pricing themselves too low or driving consumers away by pricing themselves too high.

The Data Scraping Revolution

What Is Data Scraping?

Data scraping is conducted using automated software (bots) to extract curated, live information from websites, e-commerce sites, databases, and other sources. About the alcohol industry, business data is comprised of:

Competitor pricing for e-commerce sites
Promotion, discount codes, flash sales
Stock availability, regional assortment
Tax and regulatory information
Consumer reviews and demand trends

The Increasing Data Scraping

The global web scraping services market was valued at $2.3 billion in 2020 and is forecasted to reach $12.7 billion by 2030, as nearly 60% of data practitioners are expected to have used a web scraping service at least once for price intelligence. For financial professionals, 45% of all use web scraping to support pricing decisions.