How To Build a B2B Margin Analytics & Optimization Platform (in under 90 days)

A 1% Net Price realization drives, on average, a +11% improvement in our Operating Profits, which makes Pricing the most critical business lever we can impact.

To do it right, we need robust Margin Analytics & Optimization capabilities that help us:

1. Better control our Price Discounts and Profit leakage

2. Reduce the high variability of our Customer and Product Margin Profiles

3. Reduce the high variability of Sales Team pricing actions

4. Enable Pricing Scenario Analyses to understand Revenue and Gross Profit impacts

5. Pinpoint specific Customer-Product level drivers of our Revenue or Gross Profit performance

6. Empower our sales team members with rapid pricing insights into their business, including how much value they generate through Price Realization, Volume Growth, and Mix Management.

There's a misconception that we need heavy investment, long lead times, and specialized enterprise software to build impactful Margin Analytics & Optimization capabilities in our organizations.

Fortunately, open-source (e.g., R and Python) and self-serve BI tools (e.g., Tableau and Power BI) have come a long way since their inception. Popular tools like these enable flexibility and industry/domain customization that most turnkey software simply can't.

Using simple methods and a popular tech stack that's already part of most organizations, we'll show you how to build a best-in-class Margin Analytics & Optimization platform, from Concept & Design alignment with Stakeholders to full launch and user training.

Through an interactive case study, we'll show you how to bring your Sales, Finance, Pricing, and Merchandising team along the development journey to ensure maximum adoption and impact.

Attendees will also receive access to a copy of my Miro board with a complete blueprint and outline, along with a sample B2B Margin Analytics Dashboard (built with Tableau) that they can deploy in their organizations in just one day.