Prospective customers encountering the offer for the first time
Ground the study in customer evidence relevant to this decision.
Find out what they hear.
A headline has one job. Make sure your audience gets it. Compare messages, explore what sounds credible and find the questions your copy still leaves unanswered.
Use audience reactions to guide the edit, whether you are writing a landing-page proposition, a campaign headline or a product message.
Compare message concepts to see which benefit your audience understands and which wording introduces ambiguity.
Explore concept testingUse depth interviews to explore concerns, expectations and the language your audience uses.
Explore depth interviewsUse ad testing to examine how the copy and visual work together before a campaign goes live.
Explore ad testingBring a real question. We’ll scope the audience, evidence and study together.
Ground the study in customer evidence relevant to this decision.
Headline alternatives
Offer and context
Customer language
Keep the question, the evidence and the next action connected.
Does ‘always protected’ communicate the benefit, or leave people unsure what is covered?
Examine what the audience thinks the promise includes. Look for missing context, doubtful claims and language that needs explanation.
Write a more specific version, compare reactions and take the strongest candidate into a live test.
Illustrative research brief. This is an example of how to use findings, not a completed customer study or a product screenshot.
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.
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.
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.