Скачать или смотреть Why Most SaaS AI Pricing Models Are Broken And How to Fix Yours

Most SaaS companies are pricing their AI features completely wrong and it’s creating massive retention risks. After reading a recent academic paper on the limitations of AI in search and recommendation systems, pricing strategist Akhil from Monetizely realized what the industry keeps ignoring: AI is not perfect and pricing it like it is, sets you up for churn.

In this sharp breakdown, Akhil explains why charging a flat $500/month for an AI assistant that only works 70% of the time creates a value delivery mismatch. Instead, he shares a better approach: outcome-based pricing, usage-based models with performance tiers, and transparent AI metrics. The insight? Customers don’t leave because of AI’s limits they leave because of unmet expectations. If your pricing matches reality, not hype, you'll drive both trust and retention.

If you're adding AI features to your SaaS product, this is required viewing. Drop a comment with the AI pricing mistakes you’re seeing in your industry and Akhil may break them down in an upcoming video.

At Monetizely, we believe pricing isn’t just about numbers : it’s about strengthening relationships and aligning with your customers’ evolving needs. Hit subscribe for more pricing content for high-growth SaaS companies, and drop your questions in the comments : we’re here to help.

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