Conjoint Analysis for B2B SaaS Pricing
Conjoint analysis for B2B SaaS pricing and packaging: feature trade-off research, willingness-to-pay, package design, choice-based conjoint methodology.
Trade-off Research That Reveals Real Buyer Choices
Conjoint analysis presents buyers with realistic feature/price bundles and forces choice. Unlike Van Westendorp (which captures stated price preferences), conjoint reveals trade-offs: which features buyers will pay extra for, which they will sacrifice, which packaging combinations maximize willingness-to-pay.
What's Included in Conjoint Analysis for B2B SaaS Pricing
Choice-Based Conjoint
Standard B2B SaaS methodology with 8-12 choice tasks.
Feature Bundle Design
4-6 attributes with 3-4 levels each.
Willingness-to-Pay
WTP calculation per feature for tier design.
Package Optimization
Optimal package mix maximizing revenue.
Segment Analysis
Latent class analysis revealing buyer segments.
Simulator Output
Pricing simulator for what-if package scenarios.
Why Conjoint Analysis for B2B SaaS Pricing Matters
True Trade-Off Insight
Forced choice reveals real buyer preferences.
Optimal Packaging
Identify revenue-maximizing package mix.
Segment Pricing
Latent class segments inform tier strategy.
Simulator Power
What-if simulator enables ongoing decisions.
How We Deliver Conjoint Analysis for B2B SaaS Pricing
Attribute Design
4-6 attribute design with stakeholder workshops.
Panel Recruitment
B2B decision-maker panel, 200-400 respondents.
Analysis
Hierarchical Bayesian or latent class analysis.
Simulator & Decisions
Pricing simulator informs tier and packaging decisions.
Technology Stack
Industries We Serve
Conjoint Analysis for B2B SaaS Pricing FAQs
Conjoint for trade-offs and packaging. Van Westendorp for price ranges. Run both for comprehensive view.
200-400 minimum for choice-based conjoint. Latent class needs 300-500.
75K-200K for full project. Sawtooth or Conjointly DIY: 5-25K.
8-12 weeks: design 2-3 weeks, fielding 3-4 weeks, analysis 3-4 weeks.
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