✨ Data that powers smart decisions – learn how we transform the way you work
Discover what consumers truly value and simulate real purchase decisions to optimize pricing, attributes, and market share.
Conjoint is a research technique that accurately replicates the real-world consumer decision-making process. Participants are shown full product combinations with varying attributes and must choose between realistic options. This reveals trade-offs and the attributes that truly drive choice.
Avoid isolated “rational” responses and capture authentic choices.
Identify which features are decisive and which have minimal impact.
Determine how much consumers are willing to pay based on real combinations.
Predict how your sales would perform against competitors.
Prioritize the attributes and configurations that maximize appeal and profitability.
We evaluate products as complete packages, not isolated attributes.
We measure which attributes lose importance when others are prioritized—forcing choices like in real life.
We use hierarchical Bayesian modeling to identify preferences by segment.
We project scenarios to test configurations, prices, and competitive launches.
Any category with comparable attributes: from FMCG and retail to financial services, apps, or tech.
Yes. It works well in early stages by presenting hypothetical configurations (attributes, prices, formats) and simulating how the market would respond before investing in full development.
Typically 4–6 attributes with 2–4 levels each are recommended to avoid fatigue while ensuring robust results.
Yes, price can be treated as another attribute, allowing calculation of elasticity and optimal range.
Usually 1 to 3 weeks, depending on the number of attributes, levels, and segments analyzed.
Yes. We simulate “What-if” scenarios to compare your configurations with competitors and project market share.
To prioritize key attributes, adjust pricing, optimize product configurations, and project sales impact before launch.
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