How a B2B SaaS company optimized their pricing strategy using advanced conjoint analysis, revealing a potential 42% revenue increase opportunity and improved customer satisfaction while expanding their market reach.
A fast-growing B2B SaaS platform was experiencing pricing pressure and customer churn. Their original pricing model was no longer optimal for their diverse customer base and expanding feature set.
We conducted a comprehensive conjoint analysis to understand customer preferences and willingness to pay across different feature bundles, pricing models, and service levels.
Analyzed 15 key features across 4 pricing dimensions
Determined optimal price points for each customer segment
Quantified relative importance and monetary value of features
Analyzed positioning vs. 6 key competitors
Core features for small groups, simplified onboarding
Advanced analytics, integrations, priority support
Full feature suite, custom integrations, dedicated CSM
Tailored solutions for enterprise requirements
42% increase in revenue through optimized pricing tiers
Reduced potential churn by 47% with better value alignment
Strengthened competitive position with clear differentiation
Discover how conjoint analysis can help you find the optimal price points and maximize revenue while improving customer satisfaction.