Consumer Psychology

How buying decisions are really made and how to influence them

Onboarding and Habit Formation: The Science of Making Products Stick

A comprehensive deep dive into the psychology and mechanics of user onboarding and habit formation. From finding your product's Aha moment through cohort analysis to Nir Eyal's Hook model, James Clear's habit stacking, the Zeigarnik effect, endowed progress effect, and goal gradient effect. Includes Chamath Palihapitiya's Facebook growth team methodology, research data, Python code for measuring activation, and practical implementation strategies.

Consumer PsychologyData ScienceGrowth HackingMarketing AutomationSaaS

Conversion and UX Psychology: The Science of Why Users Click or Bounce

A comprehensive deep dive into the psychological laws that govern user behaviour and conversion. From Hick's law and Fitts's law to the peak-end rule, serial position effect, Miller's law, cognitive load theory, friction frameworks, and attribute framing. Includes research data, Python code for measuring UX impact, and practical implementation strategies backed by Baymard Institute research.

Consumer PsychologyData ScienceeCommerceGrowth HackingSaaSStatistics

Behavioural Economics Frameworks: The Science of How Customers Actually Decide

A comprehensive deep dive into the behavioural economics frameworks that shape consumer decisions. From Kahneman's dual process theory to Thaler's choice architecture, cognitive biases, hyperbolic discounting, mental accounting, choice overload, and status quo bias. Includes when each framework applies, how to design for real human behaviour, and Python code for measuring effectiveness.

Consumer PsychologyData ScienceeCommerceGrowth HackingSaaS

Referral and Viral Mechanics: Engineering Exponential Growth

A comprehensive deep dive into the mathematics and psychology of referral programmes and viral growth. From K-factor calculations to viral cycle time, two-sided incentives, network effects versus viral effects, referral psychology, Jonah Berger's STEPPS framework, and NPS as a growth predictor. Includes Python code for modelling viral growth and measuring programme effectiveness.

Consumer PsychologyData ScienceeCommerceGrowth HackingGrowth HacksSaaS

Social Proof and Trust: The Psychology of Why We Follow the Crowd

A comprehensive deep dive into the psychology of social proof and trust in marketing and product design. From the six types of social proof to review psychology, authority signals, trust stacking, reciprocity, and herd behaviour. Includes when each strategy works (and when it backfires), research from Spiegel and Baymard Institute, and Python code for measuring effectiveness.

Consumer PsychologyData ScienceeCommerceGrowth HackingGrowth Hacks

Less Well Known but Battle Tested: The Hidden Psychology That Actually Converts

A comprehensive deep dive into 18 lesser-known but highly effective psychology principles for conversion and retention. From goal-gradient acceleration and temporal landmarks to identity-based marketing, implementation intentions, foot-in-the-door, labour illusion, operational transparency, defaults as nudges, status games, sunk cost retention, social comparison, reactance, and risk reversal. Includes research data, Python code for measuring impact, and practical implementation strategies backed by academic literature.

Consumer PsychologyData ScienceeCommerceGrowth HackingGrowth HacksMarketing AutomationSaaS

Scarcity, Urgency, and Loss Aversion: The Psychology of Now or Never

A comprehensive deep dive into the psychology of scarcity, urgency, and loss aversion in marketing and product design. From Cialdini's scarcity principle to the endowment effect and IKEA effect. Includes when each strategy works (and when it destroys trust), how to measure effectiveness with data science, and Python code for experimentation.

Consumer PsychologyData ScienceeCommerceGrowth HackingGrowth Hacks

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