Customer & WTP Research
Design and run willingness-to-pay studies, interview ICPs and customers, analyze buying behavior, and identify what different segments value.
Pricing & Monetization Advisory
We help software and AI companies find the right price, package for value, and uncover opportunities to grow ARR—using customer, market, financial, and GTM data to make pricing an ongoing discipline, not an arbitrary decision.
Leverage our technology. The SolverMoat Pricing Engine platform triangulates customer, market, and financial signals to find the right price and uncover opportunities.
Design and run willingness-to-pay studies, interview ICPs and customers, analyze buying behavior, and identify what different segments value.
Evaluate subscription, seat-based, usage, hybrid, enterprise, and other commercial models; define packages, value metrics, price points, discount guardrails, and validation plans.
Review CRM, contracts, billing, product usage, win/loss, renewals, costs, and competitive signals to identify underpricing, leakage, expansion opportunities, and pricing changes that can improve ARR.
An engagement can start as a focused pricing project and continue as an ongoing advisory relationship. As the company grows, analytics and software-enabled monitoring can help surface changes in customer behavior, costs, usage, discounting, and market conditions so pricing can be revisited before it becomes a growth problem.