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Retail Analytics Case Study 

Retail Analytics Case Study 

Unlocking Consumer Preferences and Driving Sales Growth for an Alcoholic Beverage Company 

Introduction

A leading alcoholic beverage company, with brands across beer, wine, whiskey, brandy, and rum, sought to understand consumer preferences and optimize marketing, product development, and retail execution. We conducted integrated retail and consumer surveys to gain actionable insights for growth.

Key Challenges
  • Fragmented Consumer Understanding – Lack of insights into preferences, purchasing habits, and brand perceptions.

  • Inefficient Marketing Strategies – Difficulty in segmenting and targeting consumers effectively.

  • Suboptimal Product Offerings – Limited data on unmet consumer needs.

  • Disconnected Data Sources – No link between consumer behaviour and retail performance.

A leading alcoholic beverage company, with brands across beer, wine, whiskey, brandy, and

Our Approach

Retail Survey

  • Conducted six survey cycles across 1,000 multi-brand alcohol retail outlets over a year.

  • Collected data on shelf space allocation, pricing, promotions, brand placement, and inventory levels.

Consumer Survey

  • Surveyed a representative sample of alcoholic beverage consumers to assess demographics, preferences, and purchasing habits.

  • Used conjoint analysis to understand product attribute preferences (e.g., flavour, price, packaging).

Data Integration & Analysis

  • Merged retail and consumer survey data into a unified database.

  • Applied regression and cluster analysis to identify correlations between consumer preferences and retail performance.

  • Built consumer segmentation models and interactive dashboards for real-time insights.

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Strategic Recommendations

  • Developed targeted marketing strategies for distinct consumer segments.

  • Recommended product innovation, optimized pricing, and packaging strategies.

  • Improved shelf space allocation, brand positioning, and in-store promotions.

  • Designed a data-driven marketing mix framework to maximize ROI.

Results Achieved

  • 15% Increase in Marketing ROI – More effective, data-driven campaigns.

  • 10% Sales Growth from Retail Optimization – Better shelf placement & targeted promotions.

  • 7% Overall Revenue Growth – Stronger consumer engagement & improved brand positioning.

  • Enhanced Product Development – New product innovations based on real consumer insights.

Get in Touch

Combination of advanced analytics capabilities and marketing expertise, and our cross-functional approach integrates insights from market research, customer behavior analysis, and performance metrics to create a marketing solution.

 

Contact us today and discover how to revolutionize your approach to data-driven decision-making.

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