This case study shows how MaxDiff analysis helps brands choose the right marketing message by revealing which slogans resonate with specific consumer segments, rather than betting on one message for everyone.
A startup generated multiple slogan ideas using AI - but had no clear way to decide which messages would truly resonate with consumers.
To find the winning messages, the startup ran a MaxDiff analysis (Maximum Difference Scaling) with 300+ consumers across 3 age groups (18–35, 36–50, 51–65). The study was conducted with MaxDiffPro, the AXYZ Analytics platform for MaxDiff studies. Respondents chose the most and least compelling slogan in repeated sets, producing a robust preference ranking by segment.
Pure, organic ingredients for your body's wellness clearly emerged as the strongest message overall.
Messaging preferences varied sharply by age: age:
Instead of guessing, the brand identified which messages to use, for whom, and why - enabling targeted campaigns aligned with real consumer priorities.
By activating the right mix of slogans across audiences, the startup improved message relevance and contributed to a +30% increase in sales.
Score Ranking:
Bubble Chart Data: This visualization maps consumer messaging preferences across two key dimensions: Health & Wellness vs. Innovation & Experience (horizontal axis) and Immediate Physical Impact vs. Holistic & Lifestyle Impact (vertical axis). Bubble size represents relative consumer preference intensity.
Recommended mix: "Pure organic ingredients", "Energize your life", "Social moments", and "Harmonize mind & body" to maximize message resonance across audience segments.
This case study was derived from a real study conducted by MaxDiffPro. It has been anonymized for confidentiality: the tested options and results shown here do not correspond exactly to reality. The actual study had the following characteristics:
The timeline depends on the complexity of the study and the target audience.
MaxDiff analysis produces a statistically robust preference ranking across any number of slogans, impossible to achieve reliably with focus groups. Respondents are forced to choose the best and worst in each set, eliminating rating scale bias and revealing genuine message priorities. For AI-generated slogan pools (10–20+ options), MaxDiff is the only method that discriminates reliably at scale.
We can design a focused MaxDiff study around your category, audience, and decision.
Typical study: 15–25 items tested · 150–300 respondents · Results in 3–5 days
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