The shoppers this product or campaign is intended for
Ground the study in customer evidence relevant to this decision.
Sunzu for ecommerce and dtc brands
Before the next drop,
test the story that sells it.
A new product, a seasonal campaign or a fresh landing page gives shoppers a reason to look. Explore what makes the offer relevant and what might leave them hesitating.
Used by
- Insights analysts
- Product managers
- UX designers
- Marketing strategists
- Copywriters
- Go-to-market leads
- Growth managers
Trusted by
Backed by
- Microsoft for Startups
- NatWest Accelerator
The work in front of you
Give every launch a clearer audience story.
Bring together product, creative and customer questions before you commit to the next campaign. Start with the decision that matters most this week.
- Concept testing
Compare the product story
Test benefit-led propositions and explore which details make the offer understandable and credible.
Explore concept testing - Ad testing
Review creative before buying traffic
Examine reactions to the advert and use the findings to refine what you take into the campaign.
Explore ad testing - UX testing
Explore likely purchase friction
Review a focused product or purchase experience to identify questions a shopper may still need answered.
Explore ux testing
Your next study
Which product story should lead the launch?
Bring a real question. We’ll scope the audience, evidence and study together.
Start with what you have
Product proposition
Campaign creative
Customer feedback
From research to a decision
A clearer product-launch brief
Keep the question, the evidence and the next action connected.
Ask
Should the product page lead with everyday usefulness, ingredients or the brand story?
Examine
Explore what shoppers understand from each proposition and which details they need before considering the offer.
Act
Refine the product story and creative, then measure actual purchase behaviour in your store.
Illustrative research brief. This is an example of how to use findings, not a completed customer study or a product screenshot.
Internal back-testing
Ad testing. Measured against a human reference.
Sunzuin minutes69%
Human expert with AIin days55%
Research, 500+ humansin months100%
Sunzu internal back-testing. Research, 500+ humans is the reference set to 100%. This is a study-specific comparison, not an overall accuracy score or a guarantee for your study.
From our customers
Relied on by global experts
Director, Consumer Insights & Strategy
In just a couple of months, over 170 of our colleagues have run over 500 studies.
We’re now directly integrating audiences into many of our research, product and marketing workflows.
Director, Global Product and Design UX Research
In a market flooded with AI-generated noise, this was the first platform that genuinely earned our trust.
By grounding its models in research principles, behavioural science, and real customer data, it delivers insights that feel credible, transparent, and actionable.
It changed our perspective on what’s possible with AI in customer research.
A few useful answers
Before your first study.
The research starts with your product, creative, audience evidence and question. A Shopify app or automatic store integration is not required or promised by this workflow.
No. Audience studies can explore appeal, understanding and objections. Sales, conversion and repeat purchase need to be measured with real shoppers.
Sunzu creates audience characters grounded in customer evidence and enriched with a behavioural corpus. They are simulations. Use findings to explore directions and sharpen questions; lived experience, unexpected behaviour and consequential decisions still need research with real people.