Conjoint Analysis

Understand how buyers make tradeoffs — and design offerings they’ll choose.

Conjoint analysis helps teams understand how buyers evaluate tradeoffs between features, price, and attributes when making purchase decisions. By simulating real-world choices, conjoint reveals what truly drives selection — not just what buyers say is important in isolation.

Thanks for reaching out!
We’ve received your message and will get back
to you soon. For urgent inquiries, contact
us at bids@emporiaapp.com.
Oops! Something went wrong while submitting the form.

When to conduct

Conjoint Analysis

Conduct conjoint analysis when designing or refining products, pricing, or packaging and you need to understand how buyers weigh different attributes against one another. It’s most valuable when decisions involve tradeoffs that materially impact adoption or revenue.

Slide Left
Slide Right

Strategic Moment

Designing pricing or packaging strategy

Strategic Moment

Evaluating feature tradeoffs

Strategic Moment

Optimizing offers before launch

What is

Conjoint Analysis

Conjoint analysis is a quantitative research technique that presents respondents with realistic choice scenarios, asking them to select between different combinations of attributes. The results quantify the relative importance of each attribute and estimate how changes in price or features influence buyer choice.

2–3×

more predictive of real purchase behavior than direct importance or rating questions alone. That’s why conjoint is widely used for pricing, packaging, and product design decisions where accuracy matters.

Sample Research

Questions We Answer

Question 1:

Which features and attributes most influence purchase decisions?

Conjoint analysis isolates the impact of individual attributes, showing which features drive choice and which have diminishing returns — even when buyers claim everything matters.

44%

of overall decision weight is driven by just two core attributes — indicating where investment has the greatest impact.

21%

of tested features contribute minimal lift to choice likelihood, despite internal assumptions about their value.

Question 2:

How sensitive are buyers to price and tradeoffs?

By modeling realistic pricing scenarios, conjoint analysis reveals willingness to pay, acceptable price ranges, and where demand drops off as price or feature combinations change.

35%

decline in choice likelihood when pricing exceeds the optimal range identified in the study.

29%

of buyers are willing to pay more when a specific high-value feature is included — validating premium packaging opportunities.

Why trust Emporia with your

Conjoint Analysis

Make pricing and product decisions based on how buyers actually choose.

Conjoint studies require careful design to accurately reflect real purchasing behavior. Emporia brings deep expertise in conjoint methodology, ensuring attribute selection, experimental design, and modeling outputs are statistically sound and strategically relevant. By pairing expert methodology with verified B2B respondents, we help teams confidently design offers that align with how buyers evaluate tradeoffs in the real world.

Speed / Agility

Move from question to insight without sacrificing rigor. Emporia’s streamlined workflows and responsive research support allow teams to launch, field, and analyze studies quickly — so insights arrive while decisions are still being made, not after the moment has passed.

Verified B2B Respondents

Reach the right decision-makers with confidence. Every respondent is verified using professional attributes, ensuring your insights reflect real buyers, real roles, and real purchasing influence — not guesswork or self-reported profiles.

Expert Methodology

Get more than data — get direction. Our team partners closely on study design, framing, and interpretation, helping translate research outputs into clear strategic implications across pricing, positioning, and go-to-market execution.

Trusted by teams who care about verified, high-quality data

Slide Left
Slide Right
5 Starts

Emporia gives us another perspective. Our product team does a really great job working with our existing customers: understanding and solving for their needs. Emporia allows me to find new audiences and conduct that initial research that helps set the stage for potential new customers, products and markets.

Elvis Lieban

Gong | Sr. Product Marketing Manager

5 Starts

We are often trying to recruit hard to reach audiences and so it's imperative for us to have high quality data and verified respondents. Emporia go above and beyond to help us and our agency partners not only reach the right audiences but enhance our customer understanding which is a great experience.

Isabel Parashos

Xero | Senior Insights Consultant

5 Starts

We were thrilled with Emporia’s excellent data quality, professionalism, responsiveness, and speed in delivering a very high-end, niche audience of investment fund managers and venture capital professionals.

Gary Pansino

Velodu | Managing Partner & Founder

5 Starts

Emporia provides valuable access to niche, high-level respondents that are otherwise difficult to reach. They enable us to move beyond traditional targeting, connecting us with professionals with specialized knowledge and qualifications. We have confidence their experts are credible and aligned with our research needs.

Doran Fleming Kaye

Research Results | Sr. Director, Sample Strategy and Ops

Explore other capabilities

Slide Left
Slide Right

UX Research

UX research helps teams understand how users interact with products, where friction exists, and what drives usability, satisfaction, and adoption. By capturing direct user feedback and behavioral insight, UX research informs design decisions that improve experience quality and reduce costly rework.

Learn More

Product Validation Testing

Product validation and testing helps teams evaluate ideas, features, and concepts with real users before committing engineering, design, and go-to-market resources. It replaces internal assumptions with evidence — ensuring products are built around real needs, clear value, and strong adoption potential.

Learn More

MaxDiff Analysis

MaxDiff (Maximum Difference Scaling) analysis helps teams understand the relative importance of features, messages, or benefits by forcing clear tradeoffs. Unlike rating scales where everything can seem important, MaxDiff reveals true priorities — showing what drives decisions and what doesn’t.

Learn More

Conjoint Analysis

Conjoint analysis helps teams understand how buyers evaluate tradeoffs between features, price, and attributes when making purchase decisions. By simulating real-world choices, conjoint reveals what truly drives selection — not just what buyers say is important in isolation.

Learn More

Concept Testing Research

Concept testing research helps teams evaluate early ideas, product concepts, or value propositions with real buyers before development or launch. It reveals which concepts resonate, which fall flat, and why — giving teams direction on what to pursue, refine, or abandon.

Learn More