
Late-Stage Growth
Series D+, $100M-$250M Revenue
In the Late-Stage Growth phase, the focus sharpens to monetization efficiency, increasing net dollar retention (NDR), and preparing for a potential IPO or strategic exit. Continued expansion into new markets and the formation of strategic partnerships remain key priorities for driving growth. Your pricing strategy needs to be finely tuned to enable scalable growth while maximizing revenue capture from your existing customer base and new logos. The goal is to build a highly predictable and efficient revenue engine.
This stage is characterized by the optimization of sophisticated pricing strategies. Companies are often refining land-and-expand models to drive significant expansion revenue and implementing advanced hybrid models that may combine subscriptions with usage-based components, particularly for enterprise-grade, GenAI-powered products like copilots, content generation, or workflow automation. As AI capabilities become central to value delivery, pricing leaders face growing pressure to determine how these features should be packaged, priced, and positioned across segments.
Companies frequently move from being single product-line providers to platforms or product suites, requiring different packaging to facilitate the new positioning as well as customer choices, and potentially multiple price metrics to monetize different use cases.
Monetization Focus for Late-Stage Growth
Optimizing land-and-expand pricing models to drive expansion revenue
Implementing hybrid models (subscription + usage-based pricing)
Establishing more advanced packaging frameworks for suite or platform positioning
Monetizing varied use cases
Introducing region-based pricing to capture global opportunities
Strengthening renewal pricing strategies to control churn
Establishing sophisticated discounting protocols to reduce revenue leakage

Key Pricing Questions
How do we maximize expansion revenue from existing customers?
Should we introduce new usage-based or premium add-ons?
What’s the best way to adjust pricing for different geographies?
What can we build a more monetizing price structure without it becoming unmanageably complex?
How do we increase pricing without losing customers?
How do we ensure pricing consistency across different markets?
Are our discounting practices helping or hurting margins?
How should we monetize GenAI-enabled features within our existing pricing structure?

Engagements
6-15 weeks long, full-time staffed projects, focused on major transformations and capability building
Sprints
2-4 weeks long, full-time staffed short projects, focused on tightly scoped specific questions
Workshops
Half to full day workshops to make progress on problem-solving specific questions, and/or gaining direction

