Series

Building a Pricing Platform: The Series

Thirteen posts on building and evolving a revenue-critical pricing platform — from Strangler Fig migration through rule engines, experimentation, segmentation, models, simulation, and the lifecycle that holds it all together.

13 posts in total

Posts in this series, in order

  1. Before Building a Pricing Platform, We Had to Stop Replacing and Start Growing

    Why our first move toward a new pricing platform was understanding the present, not replacing it.

  2. Fees, Markups, and the Illusion of Simple Pricing

    Why changing a price is rarely just changing a number.

  3. Pricing Is a Team Sport

    Pricing lives in the intersection of product, analytics, engineering, and business.

  4. The Hidden Cost of Hardcoded Pricing Rules

    Hardcoded rules were never the real problem. They were a symptom.

  5. Building Rule Engines for Business Agility

    Technologies change. Business capabilities survive much longer.

  6. Every Pricing Rule Is a Hypothesis

    A pricing rule isn't a decision. It's a prediction. And predictions can be wrong.

  7. The Average Customer Does Not Exist

    The average customer doesn't exist. Optimising for one is optimising for nobody.

  8. Understanding Price Sensitivity

    Price sensitivity isn't a label. It's a relationship.

  9. Pricing Is a Tradeoff

    Pricing isn't the art of finding the highest price. It's the discipline of choosing which tradeoffs matter.

  10. From Price Sensitivity to Pricing Models

    A model isn't smarter than the learning process that produced it. It just makes that learning easier to apply repeatedly.

  11. Every Model Is a Product Decision

    A pricing model is never neutral. Whatever it optimises for is a product decision dressed up as mathematics.

  12. Simulating the Future

    Simulation doesn't reduce uncertainty. It moves uncertainty somewhere the team can argue about it before customers do.

  13. The Lifecycle of a Pricing Rule

    A pricing platform isn't a collection of rules. It's the institutional memory of every decision the business has ever doubled down on or backed away from.