About

Pricing is one of the most powerful – and most overlooked – growth levers in B2B companies.

Many companies invest heavily in sales, marketing, and product development, yet pricing decisions are often based on legacy structures, competitor benchmarking, or intuition rather than data.

I work at the intersection of pricing strategy, revenue optimization, and data analytics.

My focus is helping companies use data to make better pricing decisions — decisions that directly improve revenue, margins, and commercial performance.

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What I Do

I help B2B and SaaS companies improve their pricing through:

Pricing strategy and price structure design
Pricing analytics and price performance measurement
Willingness-to-pay and price sensitivity analysis
Pricing segmentation and packaging
Revenue and margin optimization

The goal is simple: identify where pricing is leaving money on the table and build a better pricing model.

Background

My background combines commercial pricing ownership and advanced analytics.

I have worked in revenue management roles where pricing decisions directly impact business performance, including demand forecasting, pricing strategy, and revenue optimization.

Before focusing on pricing, I worked extensively in data analytics, data modeling, and business intelligence, building analytical systems and reporting tools that support data-driven decision-making.

This combination of commercial understanding and analytical capability allows me to approach pricing problems both strategically and quantitatively.

How I Work

My approach to pricing is analytical but pragmatic.

A typical pricing engagement includes:

Pricing performance analysis
Identification of revenue opportunities
Development of pricing models and frameworks
Implementation support and analytics

The objective is not analysis for its own sake, but better pricing decisions that drive measurable business outcomes.

Typical Clients

The companies that benefit most from structured pricing tend to be:

SaaS companies scaling their pricing model
B2B service companies with complex pricing structures
Growth-stage companies professionalizing their pricing
Companies moving toward data-driven pricing decisions

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