As AI disrupts traditional SaaS pricing frameworks, Willingness to Pay has become a go-to expert for B2B and AI companies seeking to reshape their revenue models for today's complex market. Their data-driven, customer-value-centric approach addresses the pitfalls many teams face when abandoning legacy per-seat pricing.
- Traditional SaaS pricing no longer fits AI product economics
- Willingness to Pay builds price models around customer value, not features
- Pricing changes sequenced to minimize risk and protect renewals
What happened
Willingness to Pay, a pricing consultancy founded by Ulrik Lehrskov-Schmidt, has emerged as a critical partner for B2B and AI SaaS companies shifting away from legacy per-seat pricing models. Businesses are struggling to implement usage-, credit-, or outcome-based pricing, which better reflect AI service consumption but also complicate billing and sales processes. WTP has designed and rolled out over 200 pricing restructures tailored to actual customer value perceptions and competitor alternatives.
The firm’s approach goes beyond setting price points; it focuses on the underlying packaging metrics and tier structures that unlock significant revenue growth. By validating new models with internal teams, customers, and sales channels before full deployment, WTP ensures a smooth transition that preserves customer trust and renewals, even for strategic accounts with multimillion-dollar ARR.
Why it matters
The 15-year era of largely solved B2B SaaS pricing is over due to AI-driven product changes that disrupt old commercial assumptions. Companies that fail to adapt risk leaving substantial revenue on the table or alienating customers by incorrectly structuring usage charges. Effective pricing is now the highest-leverage lever for accelerating growth and improving profitability in AI SaaS, often delivering bottom-line impact within a single quarter.
Willingness to Pay’s methodology of pricing customers based on their willingness to pay and carefully architecting pricing metrics enables businesses to fine-tune their monetization models. Their results include driving 325% monthly recurring revenue growth in 6 months for one client, doubling average contract value and increasing ARR during renewal by adding usage-based elements on a solid package foundation, and halving enterprise deal closing times by reducing friction in the sales process.
What to watch next
The shift to AI-oriented pricing models will accelerate as more B2B SaaS firms realize the shortcomings of per-seat and tier-based schemes. Expect greater adoption of credit and usage pricing, with consultancies like Willingness to Pay playing a pivotal role in guiding strategy and mitigating risks inherent in changing pricing systems. Their emphasis on risk-sequenced rollout and flat-fee engagements is likely to become best practice in the space.
Additionally, the ongoing evolution of AI product economics and customer consumption patterns will require persistent iteration on pricing structures. Willingness to Pay’s involvement with PricingSaaS and their large pricing community positions them well to influence industry standards and innovations. Operators, founders, and investors should closely monitor how pricing impacts growth trajectories as 2026 unfolds.