Case Study · Application Software
When a mid-sized software company faced a margin spiral on its new AI product, we helped reprice around customer value, not infrastructure cost.
Published September 15, 2024 · Updated May 6, 2026
Problem
A mid-sized software company launching a new AI product. Heavy LLM costs at scale. The team's instinct was cost-plus pricing, anchored on infrastructure, not customer value.
Method
Qualitative research plus a quantitative WTP study. Elasticity by segment. Identified the segments that saw the AI as must-have vs nice-to-have.
Solution
New bundles featuring the AI product. Repriced around customer value, not cost. Equipped the deal-desk team with ROI collateral to defend the new prices.
Impact
One month post-launch: +20% conversion post-trial. Usage stayed in line with forecasts. No margin spiral. The repriced bundles became the primary expansion lever for four quarters.
Outcome
Capabilities used
Read more on our approach to value-based pricing and commercialization.
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