We Build Your Pricing Architecture — and Stay to Run It.
Pricing experts who work exclusively in B2B software. We build the architecture from your data and stay to run it through LevelSetter.
Led by Chris Mele — ranked #1 on OpenView’s list of B2B SaaS pricing experts. Former B2B software CEO.
Our clients have been acquired by

When Companies Come to SPP
Every engagement starts with a moment — a deal that exposed how fragile the pricing is, a competitor that moved, or a product that outgrew its packaging.
First Product
Getting the pricing architecture right from the start.
New Product Line
Packaging a new capability without cannibalizing what works.
Competitive Threat
A competitor moved their pricing and your response was to guess.
M&A / PE
Pricing due diligence before close, or transformation after acquisition.
Inflection Point
Growth exposed the cracks — discounting is out of control.
What the Architecture Produces
Pricing architecture designed to survive PE-level due diligence. Acquired by AVEVA (Schneider Electric) five years post-engagement.
Two years after the pricing engagement, Flexera acquired BDNA at a 20% premium attributed to the pricing architecture.
Restructured licensing, packaging, and pricing architecture that held as the sales team scaled and deal complexity increased.
Go Deeper on the Topics That Matter
The definitive guides to B2B software pricing.
How We Work
Three phases. Every engagement, every industry.
Build the architecture from your data
Transaction analysis, customer conversations, competitive intelligence, and simulation — before anything changes.
Implement alongside your team
Sales enablement on real deals, go-to-market rollout, discount governance, and CRM integration through LevelSetter.
Compound the capability every quarter
Strategic reviews, competitive response, and ongoing monitoring — so your team gets better at this, not more dependent on us.
Frequently Asked Questions
Your pricing architecture should compound — not age on a shelf.
If your team is discounting without guardrails, losing deals they can’t explain, or navigating an AI pricing decision with no framework — that’s the conversation.