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.
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.
How are your consumers making product decisions in-store or online?
Understand the shopper's journey to learn how your consumers make product decisions, what they look for, which needs they look to solve, and anything else that helps convince retailers to shelve your products.
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.
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.
“[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
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.
