AI Pricing Optimization Platform for SaaS Companies
SaaS companies set prices once during launch and rarely revisit them, leaving 15-30% of potential revenue on the table. Corrily uses AI to continuously test and optimize pricing through geographic segmentation, plan structure experiments, and willingness-to-pay analysis, enabling data-driven pricing decisions without the risk of large-scale pricing mistakes.
Problem Statement
A SaaS company charges $29/month globally but loses conversions in Southeast Asia where purchasing power is lower and leaves money on the table in enterprise markets where buyers expect and accept higher pricing. They want to test geographic pricing but fear negative customer reactions from inconsistent pricing. The pricing page has not been updated in 18 months because no one owns the pricing decision.
The Idea
An AI pricing optimization platform that continuously tests pricing strategies through geographic segmentation, plan experiments, and willingness-to-pay analysis for SaaS companies.
Why Now
SaaS pricing complexity increased as companies expand globally with different purchasing power expectations. Subscription fatigue drives buyers to scrutinize pricing more carefully. AI A/B testing capabilities in 2026 enable safe, controlled pricing experiments that reduce the risk of pricing mistakes. Most SaaS companies still use spreadsheet-based pricing decisions.
Target User
Growth leaders, product managers, and heads of monetization at SaaS companies with $1M-50M ARR
Target Market
B2B and B2C SaaS companies selling subscription products in multiple markets
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- Step-by-step validation plan
- Score rationale across 11 dimensions
- Monetization model & pricing angle
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