Crescendo Partners

Case Study · Application Software

Launching an AI product without bleeding margin to LLM costs.

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

A 20% increase in conversion post-trial, without runaway costs.

Capabilities used

  • Willingness-to-pay research
  • Price elasticity analysis
  • Packaging & bundling design
  • Revenue forecasts

Read more on our approach to value-based pricing and commercialization.