website_skill

Overview

This skill designs and executes pricing-page experiments to maximize revenue through data-driven pricing psychology and presentation. It creates clear hypotheses, single-variable variants, and statistically valid test plans that focus on revenue per visitor and conversion quality. Use it to turn pricing theory—anchoring, decoys, value stacks—into measurable revenue lifts.

How this skill works

I start by translating your business question into a measurable hypothesis with a primary KPI and required sample size. I then generate control and variant designs that change a single pricing element (presentation, order, copy, urgency, etc.) and map each to metrics, tracking requirements, and success thresholds. Finally I produce an execution plan: variant assets, traffic split, duration, and an analysis checklist for statistical significance and revenue impact.

When to use it

• You want to A/B test a pricing page or pricing structure
• You need revenue-focused experiments, not just conversion rate tests
• You’re validating pricing psychology tactics (anchoring, decoy, scarcity)
• You plan to change plan order, copy, or display format on pricing pages
• You need a repeatable framework to scale pricing experiments

Best practices

• Start with a single, measurable hypothesis and one variable per test
• Optimize for revenue per visitor or revenue per session, not only conversion rate
• Keep visual and brand consistency across variants to isolate the price element
• Calculate and wait for adequate sample size before declaring winners
• Use value stacking and clear ROI messaging when testing perceived value
• Document results and learnings to inform future pricing decisions

Example use cases

• Compare monthly vs annual pricing presentation to measure revenue per visitor
• Test a three-plan layout with an anchored high price vs a two-plan simplified layout
• Introduce a decoy middle plan to shift customers to a target tier
• Swap plan order (high-to-low vs low-to-high) to measure choice framing effects
• Add a ‘Most Popular’ badge and scarcity messaging to evaluate lift in average order value