See what shoppers notice, what gets overlooked, and how your pack stands out against competitors.
See what shoppers notice on shelf before your pack goes to print
Dragonfly AI finds the pack design that wins with shoppers, in seconds. Outperform your competitors, cut testing costs, de-risk your launches and walk into retailer meetings with proof your design works.
A better pack can lift sales volume by up to 5.5%*.
Test all packs, not just the hero
Test more
will notice
“Now with Dragonfly we have a solution to test with the consumer, and it takes minutes instead of weeks.”
Global CPG Brand
Spend less
experiments
“Dragonfly AI has paid for itself within 3 months.”
Grow faster
new hero images
Know what gets noticed before it launches
Clear actionable recommendations
Dragonfly AI provides actionable recommendations to help you improve your designs to win at the shelf
Beat your competitors on shelf
See how your pack stacks up on shelf, in-store and online against your competitors, and benchmark against the best in your category.
Decide with Confidence
Our patented algorithm works in every market and measures attention, emotion and memory, so you can back the right design for every shelf and walk into every meeting with proof.
*NielsenIQ Bases
Trusted by the brands that
fight hardest for the shelf
Used for pack testing by global brands
Birds Eye won
the freezer aisle
Greater share of attention than competitors
Increase year on year volume growth on £700m brand
Mike Sowerby | Marketing Director, Birds Eye UK & Ireland
How does it compare with traditional pack testing
|
Eye-tracking / Shelf study |
Consumer panel / Survey |
|
| Time to results | About 45 seconds | Weeks | Weeks |
| Cost per test | £60–£120 per design | £22,000–£37,000 | £11,000–£37,000 |
| Designs you can test | Every option, every SKU | A shortlist | A shortlist |
| Shelf context | Your pack next to real competitors and own label | Depends on the study set-up | Usually the pack on its own |
| Sample bias | None: models how the human eye responds, in any market | Limited by who is recruited | Limited by who is recruited, and by what people say vs do |
| Accuracy | 89% as accurate as professional eye tracking | The benchmark | Self-reported, not measured |
| In store after launch | Yes, with the mobile app | No | No |
How AI pack testing works
Upload your designs
Priority alignment
Brand consistency & memory
Competitive benchmarking
Personalised recommendations
Get noticed and be remembered
Test your pack on shelf
Use Scene Study to analyse how your pack performs in a real or simulated environment alongside your competitors and own-label brands, either in-store or on the digital shelf.
Get your competitors scores, side by side with our competitor shelf benchmarking.
Go live and test in real-time
Check it in store and on the digital shelf. Once your pack is on shelf, use the Dragonfly AI mobile app for an instant attention heatmap, or photograph the shelf and test in context against your competitors.
If you’re not seen, you won’t sell
Attention matters
The premise is simple: if your customer doesn’t notice your product, they’re not going to buy it.
Reckitt used Dragonfly AI to improve its hero images on Amazon, gaining 16% more share of attention, and an A/B test confirmed 20 - 30% more conversion. Birds Eye’s redesign, tested with Dragonfly AI, delivered 1.9% year-on-year volume growth.
Built on how shoppers’ eyes really work
Dragonfly AI is built on more than ten years of research with Queen Mary University of London. Our patented algorithm predicts what shoppers will notice with 89% of the accuracy of professional eye tracking.
Measured against eye-tracking data on the MIT300 and CAT 2000 benchmarks. Patented in the UK, US and EU.
After launch, keep winning the shelf
The digital shelf
Discover what captures attention, memory and emotion online and optimise your product listings to drive better performance.
Drive stronger
commercial results
Discover how Dragonfly AI has helped other packaging leaders
Turning hero images into revenue drivers
Improve consumer attention at the digital shelf to increase conversion rates.
Driving e-comm sales through hero image optimization
Increase conversion rates in eCom during ‘two-for-£4’ promotional campaigns.
7% growth in client toothpaste
A leading global consumer healthcare company that prefers to remain anonymous for competitive reasons. They are responsible for developing and marketing some of the world’s best loved brands and products. This particular company is also one of the world’s largest suppliers of specialist oral health.
Optimizing packaging to drive visibility and sales
A leading online shopping and retail tech agency, Optopus helps brands increase their sales by using an arsenal of tools such as eContent optimizations, eConsulting and analytics. Optopus has a singular mission; to help brands optimize their digital shelves for enhanced sales performance. They have done this for leading brands.
Data drives faster decision making
Beiersdorf Health Care began in a small pharmacy in Hamburg and now competes globally. Built on the core values of care, simplicity, courage and trust, Beiersdorf employs more than 20,000 employees worldwide and generates an annual revenue of $9 billion in total.
How Birds Eye won the freezer aisle with AI pack testing
As part of its largest design overhaul in over a decade, Birds Eye set out to optimize packaging across its portfolio. The goal was to make products easier for shoppers to locate in the freezer aisle, increase on-shelf stand-out and attract more shoppers to the category.
Trusted by industry leaders
“At Optopus we use a Dragonfly AI tool during the creation process of mobile-ready hero images. This tool emulates the behaviour of the human brain; to analyze e-Content in the way a person browsing a website would.
Thanks to MRHI, brands that have placed their trust in Optopus have managed to increase sales by up to 40%.”
CEO & Creative Project Lead
Pack testing articles
How AI and IoT Are Transforming Packaging Testing & Design
Shaping the Future of CPG Brands with Innovative Packaging Design
Using Predictive AI to Craft Winning A+ Content and Hero Images
Pack testing FAQs
Unlike focus groups or surveys that rely on subjective feedback and sample sizes, Dragonfly AI uses a scientifically validated algorithm to predict human visual attention. This provides instant, objective insights without the need for live testing or lengthy fieldwork.
Yes. Dragonfly AI allows you to upload and compare multiple pack designs in a single session, making it easy to evaluate visual impact, clarity, and stand out across different variations.
The platform uses universal principles of human visual cognition, so its insights apply across audiences and markets. It’s ideal for global brands needing to balance consistency with local variations.
You can test anything visible in the design such as logos, imagery, colors, layout. You can set parameters such as brand consistency or visual hierarchy so you focus on the elements that you want to focus on. The platform can also show you how your pack will perform in context on an in-store shelf or in a digital listing, giving you confidence in your creative before launch.
Yes. It delivers clear, quantifiable performance metrics that show exactly how much attention each element of your packaging receives. This goes far beyond basic visual mapping, helping you make more strategic design decisions.
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