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Pricing Strategy

SaaS Platform Pricing Strategy Optimization

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.

Project Details

Duration: 16 weeks
Market: Global B2B
Sample: SaaS app decision makers
Pricing Tiers: 4 optimized

Key Results

42%
Revenue Increase Potential
15%
Potential Customer Satisfaction Boost
$2.3M
Potential New ARR

The Challenge

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.

  • High customer acquisition costs with low conversion
  • Increasing churn rate due to pricing misalignment
  • Unclear value perception across different segments
  • Competitive pressure from new market entrants

Pre-Optimization Metrics

Monthly Churn Rate8%+
Conversion Rate2.3%
ARPUProprietary
Customer Satisfaction7.2/10

Our Conjoint Analysis Solution

Advanced Pricing Research

We conducted a comprehensive conjoint analysis to understand customer preferences and willingness to pay across different feature bundles, pricing models, and service levels.

Choice-Based Conjoint

Analyzed 15 key features across 4 pricing dimensions

Price Sensitivity Analysis

Determined optimal price points for each customer segment

Feature Valuation

Quantified relative importance and monetary value of features

Competitive Benchmarking

Analyzed positioning vs. 6 key competitors

Optimized Pricing Structure

Beginner (Price A)

Core features for small groups, simplified onboarding

Pro (Price B)

Advanced analytics, integrations, priority support

Enterprise (Price C/month)

Full feature suite, custom integrations, dedicated CSM

Custom (Contact for pricing)

Tailored solutions for enterprise requirements

Implementation & Testing

Phased Rollout Strategy

  • A/B tested new pricing with 20% of traffic
  • Grandfathered existing customers with migration path
  • Updated sales training and materials
  • Implemented value-based messaging framework

Feature Bundling Optimization

  • Reorganized features based on customer value perceptions
  • Created clear upgrade paths between tiers
  • Introduced usage-based add-ons for flexibility
  • Simplified decision-making with clear value props

12-Month Results

Post-Optimization Metrics

Monthly Churn Rate4.2% ↓
Conversion Rate4.8% ↑
ARPUSignificant ↑
Customer Satisfaction8.3/10 ↑

Business Impact

Potential Revenue Growth

42% increase in revenue through optimized pricing tiers

Customer Retention

Reduced potential churn by 47% with better value alignment

Market Position

Strengthened competitive position with clear differentiation

Ready to Optimize Your Pricing Strategy?

Discover how conjoint analysis can help you find the optimal price points and maximize revenue while improving customer satisfaction.