quantilope's shelf optimization research uses quantitative methods for brands & retailers to identify what types of products consumers are most likely to purchase in-store or online.
Use automated shelf optimization research to
Get your products on retailers' shelves
What are consumers most likely to buy?
Use a shelf space optimization model to identify which types of products your category consumers are most likely to purchase from retailers, and curate your product line accordingly.
Understand how consumers make product decisions
How are consumers making product decisions in-store or online?
Understand the shopper's journey to learn how your consumers make product decisions that helps convince retailers to shelve your products.
Streamline your product SKUs
Which current products are your high-performers, which should you phase out, and which go well together on the shelf?
Learn how to maximize shelf space so you're not wasting space on product SKUs that don’t generate a strong return, don't reach the right audience, or risk cannibalization in a certain territory.
Strengthen retailer relationships
How does your consumer data benefit retail decision-makers?
Grow retailer partnerships with shelf level retail solutions that provide valuable insights into what consumers are most likely to purchase from shelves and what an optimal shelf lineup looks like.
Make product shelving decisions faster through market research automation
Determine shelf space allocation optimization with high-quality, advanced method findings
Use data-backed insights to make better-informed shelving decisions
Lean on support from quantilope’s classically-trained research consulting team.
"[With quantilope] we’ve done a lot of TURF analysis to cut our SKUs in half, we use MaxDiff methods to screen early innovations at the idea level, and much more."
-Andy Smith, VP of Consumer Insights at Flowers Foods
Frequently Asked Questions:
What is shelf optimization in market research?
Shelf optimization is a data-driven approach to maximizing retail space efficiency and sales performance through strategic product placement and assortment.
It combines consumer behavior analysis, sales data, and advanced research methodologies to determine the most effective use of shelf space for both in-store and digital retail environments.
quantilope's automated platform enables brands and retailers to gather these insights systematically, using advanced research methodologies like TURF analysis and A/B testing to identify optimal product arrangements that drive consumer engagement and sales performance.
How do online vs. in-store shelf optimization strategies differ?
Online and in-store shelf optimization require distinct approaches due to fundamental differences in how consumers interact with products in each environment.
In-store optimization focuses on physical factors like eye-level placement, product adjacencies, and shelf facings, while digital optimization prioritizes search functionality, filtering options, and recommendation algorithms.
quantilope's research platform enables brands to test both physical and digital shelf arrangements through automated A/B testing and consumer journey analysis, helping identify the most effective strategies for each channel while maintaining brand consistency across all touchpoints.
What data is needed to optimize shelf space?
Effective shelf optimization requires a combination of quantitative and qualitative data points, including sales performance metrics, consumer purchase patterns, shopper behavior insights, and category-level trends.
Advanced research methods like TURF analysis help determine optimal product combinations, while eye-tracking studies and in-store behavioral research reveal how consumers actually interact with products.
quantilope's platform automates the collection and analysis of these various data points, enabling brands and retailers to make data-driven decisions about shelf space allocation and product placement strategies.
Which research methods are most effective for shelf optimization studies?
The most effective shelf optimization research combines multiple methodologies, including TURF analysis for optimal product assortment, A/B testing for layout comparisons, and advanced behavioral research through tools like quantilope's qualitative video solution, inColor. This multi-method approach provides a comprehensive view of shelf performance opportunities.
quantilope's platform offers 15 automated, advanced methods, allowing brands to run sophisticated research studies without needing to rely on a behavioral science team or other third-party vendor.
How can shelf availability be improved?
Shelf availability improvements stem from a deep understanding of consumer demand patterns, purchase behaviors, market trends, and category insights. Through automated research methods, brands can identify optimal stock levels, predict seasonal variations, and understand how different shelf arrangements impact product visibility and selection.
quantilope's Consumer Intelligence Platform helps brands monitor these factors continuously, enabling quick adjustments to shelf strategies based on real-time consumer insights and market changes.
What role does consumer behavior research play in shelf optimization?
Consumer behavior research is fundamental to effective shelf optimization, revealing how shoppers make decisions, navigate store layouts, and interact with products.
Analyzing consumer behavior through data helps brands understand the psychological and practical factors influencing purchase decisions, from initial product discovery to final product selection.
Using quantilope's automated platform, brands can continuously gather behavioral insights using advanced quantitative methods and/or qualitative video analytics with sentiment analysis. Brands can use this data to ensure their shelf strategies remain aligned with evolving consumer preferences and shopping patterns.
How often should shelf optimization research be conducted?
Shelf optimization research should be conducted quarterly for most categories, with additional studies during significant market changes, new product launches, or seasonal peaks. This regular cadence allows brands to maintain a competitive advantage by responding to shifting consumer preferences and market dynamics.
quantilope's automated tracking research platform makes frequent optimization studies more feasible by streamlining the research process, allowing brands to maintain consistent tracking waves while reducing the time/monetary investment typically required from traditional research agencies.
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