Skip to main contentSkip to navigation
Gotopico
Pricing and packaging
Set price ranges and compare complete offers
Product and concepts
Prioritize roadmaps and validate concepts
Messaging and market fit
Test claims, audiences, and win-loss hypotheses
Experience and tracking
Run repeatable customer and brand programs
Expert and qualitative
Choose depth, judgment, and evidence sources
Research operations
Protect quality and deliver reviewed evidence
All decisions ->Solutions by role ->Solutions by industry ->
MethodsExpertiseTemplatesDevelopersPricing
Tools and resources
Choose a method, plan a brief, and estimate your sample
Study evidence
Inspect synthetic study views, provenance, and limitations
Product overview
Survey, analytics, reporting, and integration capabilities
Examples
Illustrative product views and sample research results
Research Guides
Practical guides to MaxDiff, conjoint, Van Westendorp, and more
Compare
Evaluate workflow, method, and governance fit
Trust Center
Review privacy, security, and data handling
FAQ
Answers to common questions
Survey health checker
Review study preparation gaps before fielding
Log inGet Started
Decision-grade methods
Privacy-aware reporting
Base-size honest charts
Gotopico

Gotopico helps teams design, launch, and learn from surveys, expert panels, and live research workflows.

[email protected]
New York, NY

Gotopico

  • Product
  • Templates
  • Public results
  • Expert panels
  • Pricing
  • Sign in
  • Compare solutions

Use Cases

  • Market research
  • Product validation
  • Brand tracking
  • Customer feedback
  • Expert interviews
  • Academic surveys

Resources

  • Survey templates
  • Research guides
  • Question types
  • API docs
  • Launch checklist
  • Research methods
  • Examples

Company

  • About
  • Contact
  • Privacy
  • Terms
  • Security
  • Status
  • FAQ

Choose your path

Start from the way your team makes decisions.

Browse every use case
For foundersValidate ICP, pricing, and traction claims before the next investor or launch conversation.For product teamsPrioritize roadmap bets, product bundles, and launch decisions with defensible research methods.For consultantsPackage client-ready survey evidence with transparent caveats, exports, and reports.For researchersRun concept, usability, and mixed-method follow-up studies without losing study rigor.

Stay Updated

Get the latest market insights and platform updates delivered to your inbox.

Contact salesAPI docsSystem status

This opens your email application so you can confirm the request directly.

© 2026 Gotopico. All rights reserved.
Privacy PolicyTerms of ServiceCookie PolicyTrust CenterAccessibility
    All Features
    Advanced Research Method

    Conjoint Analysis

    Understand how customers make trade-offs between features, price, and quality. Build product and pricing scenarios from structured trade-off evidence.

    Available on Professional and Enterprise plans

    Try Conjoint FreeView Pricing
    Clay product profiles on a comparison stage showing trade-offs between features.

    What is Conjoint Analysis?

    Conjoint analysis reveals how customers value different product attributes by showing them realistic product profiles and asking which option they would choose. It is a common method for understanding trade-offs and informing product design.

    Example: Which plan would you choose?

    Option A

    • Price:Mid price
    • Storage:50GB
    • Support:Chat + Email
    • API:Read-only

    Option B
    Selected

    • Price:Higher price
    • Storage:100GB
    • Support:Phone + Chat
    • API:Full API

    Option C

    • Price:Lower price
    • Storage:10GB
    • Support:Email only
    • API:No API

    How Conjoint Analysis Works

    1

    Define Attributes & Levels

    List your product attributes (features, price, support) and their possible levels

    2

    Respondents Compare

    Respondents see product profiles and choose their preferred option from each set

    3

    Calculate Utilities

    Our algorithm calculates part-worth utilities for each attribute level

    4

    Simulate Scenarios

    Use the simulator to compare configurations and document assumptions

    What Can You Learn?

    Product Configuration

    Understand how customers trade off between features, quality levels, and price points

    Example: Would customers prefer faster delivery at higher price or slower delivery at lower price?

    Pricing Research

    Estimate willingness-to-pay tradeoffs for specific features and packages

    Example: How much more would customers pay for premium support vs. standard support?

    Bundle Design

    Create winning product bundles by understanding feature value combinations

    Example: Which features should go in Basic vs. Pro vs. Enterprise tiers?

    Market Simulation

    Simulate market share for different product configurations vs. competitors

    Example: If we add Feature X and raise price by 10%, how does our market share change?

    Built-in Market Simulator

    Compare documented what-if scenarios with an interactive simulator

    Simulate: add phone support and raise price by $20
    34%
    Your Market Share
    Directional lift in sample scenario
    41%
    Competitor A Share
    Directional decline in sample scenario
    25%
    Competitor B Share
    Directional decline in sample scenario

    Why Choose Conjoint

    Understand Trade-offs

    Estimate how respondents value each feature relative to price and other features.

    Model Market Scenarios

    Compare how different product configurations may perform under stated assumptions.

    Explore Revenue Scenarios

    Estimate revenue implications without treating simulated outcomes as guarantees.

    Segment Insights

    Discover how different customer segments value features differently.

    Scenario Workflow

    Limit Attributes

    Keep tasks manageable so respondents can make realistic tradeoffs.

    Document Assumptions

    Treat simulator outputs as scenario estimates, not forecasts.

    Validate Segments

    Check sample size before presenting segment-level differences.

    Frequently Asked Questions

    What type of conjoint does Gotopico support?

    We support Choice-Based Conjoint (CBC), the most widely used and robust conjoint method. Respondents see complete product profiles and choose their preferred option, mimicking real purchase decisions. We use hierarchical Bayes estimation for individual-level utilities.

    How many attributes and levels can I include?

    We recommend 4-7 attributes with 3-5 levels each for optimal results. Too many attributes increases cognitive load and reduces data quality. Our design algorithm automatically creates an efficient choice task design that covers all important combinations.

    How many respondents do I need for conjoint?

    For reliable aggregate results, aim for 200-300 respondents. For segment-level analysis, you'll want 150-200 per segment. The platform provides sample-size guidance and warns if results may be unreliable.

    Can I include a 'none' option?

    Yes! Including a 'none of these' option makes results more realistic by accounting for respondents who wouldn't buy any option. This is especially important for pricing research where you want to understand purchase likelihood.

    Go Deeper

    Guide

    Conjoint Analysis Explained

    Attribute design, choice-task setup, and how to move from utilities to strategy.

    Read the guide
    Suite

    Pricing Research Suite

    Conjoint pairs with Van Westendorp and MaxDiff in one pricing research workflow.

    Explore the suiteBrowse all research methods
    Who uses this

    Product Managers

    How product teams use conjoint for packaging, tier design, and feature trade-offs.

    See how PMs use itAlso: CPG & consumer goods teams

    Ready to Model Product Tradeoffs?

    Start your first conjoint study and discover what customers truly value.

    Start FreeTalk to an Expert