Retail Readiness (IHUT)
Develop powerful in-context data to arm sales teams with evidence that drives sell-in and expansion across channels and retailers.
Getting onto retailer shelves — or staying there — requires more than a great product. It requires a powerful narrative backed by real consumer data. Highlight can help sales teams walk into retailer conversations armed with the quantitative confidence and qualitative consumer voice they need to win. Using a hybrid quant + qual approach grounded in the physical product experience, Highlight builds the sell-in story from the ground up.
Key Questions Addressed
- We have an upcoming meeting with a major retailer and we need consumer data to support our story — can you help?
- Flexible qual + quant to support retailer sell-in story.
Common Outcomes
- Quantitative data visualizations
- Qualitative video response downloads & AI generated showreels
Note: Participants will be shoppers of the retailers of interest.
Methodology Guide
Quick Hits
- Hybrid Quant + Qual
- N=100+ Quant // N=30+ video subset
- Close-ended + Open-ended + Video & Image Upload
- ~3 weeks turnaround (ship to results)
Typical audience: shoppers of the specific retailer(s) of interest
For more information on designing your audience and sample size, see here.
Standard Inputs (Highlight Blueprint)
- Overall Liking
- Purchase Intent
- Key product attribute ratings (retailer-relevant)
- Open-ended on product experience (likes, dislikes, usage occasions)
- Recommended add-on: Video & image upload prompts (for qual subset)
+ Can add from any of our available / recommended questions and/or write your own
Stimuli: physical product samples sent to participants who shop at target retailer(s)
Standard Outputs
- Quantitative data visualizations (scorecard + charts)
- Qualitative video response downloads & AI generated showreels
- Summary of key themes from open-ended questions
- Crosstabs with customizable banners + statistical significance testing
Reach out to your Customer Enablement rep if you have any questions about leveraging Highlight for this use case!