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Pricing Strategy

Pricing models, elasticity, and margin optimisation

Commission Based Pricing Month by Month: The Worked Example

The transparency page shows the prices and the playground lets you model a commission deal. This is the piece in between: one fictional but realistic shop, 1.8 million a year, walked through twelve months of a results based engagement. What is agreed before the start, what the invoice says each month, what the commission is calculated on, how it is measured and who can see it, what happens in a slow quarter, what happens when you want out, what is not in the price, and what the same year would cost on the phased packages, with an agency, or with a hire. A worked example, not a promise, and I say so all the way through.

Growth HackingPricing Strategy

Migrating from Shopify or Magento to Solidus: The Five Year Total Cost of Ownership

A worked five year cost model for owners who are paying more every month for a shop they do not own. What Shopify and Magento actually cost once apps, agency retainers, payment surcharges and forced upgrades are counted, what a Solidus build plus hosting and maintenance costs against that, and then the part nobody writes down: what a migration really involves, from the catalogue and the customer accounts you cannot move to the redirects, the payment tokens, the cutover and the rollback plan.

eCommercePricing Strategy

Dynamic Pricing and Algorithmic Marketing: The Complete Technical Playbook

A deeply technical guide to building dynamic pricing systems that integrate competitor intelligence, margin-aware advertising budget allocation, and profit maximisation algorithms. Covers the economics of price discrimination, why static pricing leaves money everywhere, how to crawl competitors and respond in real time, how to automatically reallocate ad spend based on product margins and inventory levels, and complete Ruby on Rails Solidus implementation code with working examples. Includes mathematical formulas for price elasticity, optimal markup, and budget allocation, plus system architecture diagrams. Written for developers and growth engineers who actually build these systems.

Data ScienceeCommerceGrowth HackingMachine LearningMarketing AutomationPricing StrategySaaS

Pricing Psychology: The Science of Making Your Prices Irresistible

A comprehensive deep dive into the psychology of pricing. From anchoring to prospect theory, learn the cognitive biases that shape how customers perceive value. Includes when each strategy works (and when it backfires), how to measure effectiveness with data science, and Python code for A/B testing your pricing experiments.

Consumer PsychologyData ScienceeCommerceGrowth HackingPricing Strategy

Dynamic Pricing With AI: A Growth Hacker's Guide

The dynamic pricing software market is projected to grow from $6.16 billion in 2025 to $41.43 billion by 2033, and 55% of retailers plan to implement AI pricing in 2026. Amazon changes prices 2.5 million times a day. You don't need to be Amazon. This post breaks down how ML-driven dynamic pricing actually works - price elasticity estimation, demand signals, competitor monitoring, and margin guardrails - with practical Solidus/Rails code and Python scripts you can run today.

AIData ScienceeCommerceGrowth HackingMachine LearningPricing StrategySaaS
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