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July 14, 2026

Virtual Store Trials Delivers Measurable Category Growth and Improved Shelf Performance

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Presented by VST

Challenge

Brands and retailers needed to turn shelf execution and fixture decisions into measurable category growth and improved shopper experience. Specific problems included poor availability, sub‑optimal shelf placement and signage, oversized assortments or SKUs that slowed trips, unclear price/pack trade‑offs - each risked lost spend and lower category sales.

Proprietary solution

VST offered a suite of shopper‑behaviour driven solutions - including Planogram Publisher, Fixture Visualizer and Smarter Shelf Testing - that run controlled virtual and in‑store experiments using shopper behaviour data. The platform identifies shelf errors, tests signage, placement, assortment, price and pack changes, and validates planogram and fixture changes before roll‑out.

Result

Across published case studies VST translated insights into measurable retail outcomes: +12% category growth for Princes after rebuilding an ambient tomato fixture; fixing availability in 30% of stores for a beer brand by spotting a single shelf error; lifting in‑store compliance +7% and growing category sales +5% for Red Bull; driving +15% value growth in chocolate pouches for a confectionery supplier; achieving +7% shopper spend by reducing SKU count in chilled beverages; securing the right shelf placement to drive +2% category growth; and growing the baby food category by +7% with better signage. These outcomes demonstrate tangible increases in shopper spend, improved shelf performance and faster shopping trips.

Presented by:

VST

VST

Software & Technology

Data & Analytics

Quantitative Research

Featured Expert

VST

Software & Technology

Data & Analytics

Quantitative Research

VST is the retail data AI platform bringing shelf, sales and planogram data together so CPG brands turn shelf visibility into category growth

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