Pricing Strategy

Pricing models, elasticity, and margin optimisation

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