Does it provide guidance on A/B testing?

Yes, it includes a prioritized testing framework that categorizes tactics by risk and impact, helping you decide which pricing variables to isolate first.

Can I use this for SaaS pricing models?

Absolutely. The skill includes specific patterns for 3-plan SaaS structures, 'Most Popular' plan positioning, and center-stage effects optimized for subscription models.

Is the advice based on academic research?

Yes, many tactics include academic citations from peer-reviewed studies by renowned researchers such as Tversky, Kahneman, and Ariely.

How does this skill help with pricing decisions?

It applies proven behavioral economics principles like anchoring and the decoy effect to help you structure pricing tiers for higher conversions based on psychological research.

Evidence-Based Pricing

Name: Evidence-Based Pricing
Author: seedprod

byseedprod

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마케팅 자동화

Optimizes pricing strategies using behavioral economics and peer-reviewed academic research to maximize conversion rates and revenue.

소개

This skill integrates core principles of behavioral economics—such as anchoring, the decoy effect, and charm pricing—to help you design, audit, and optimize pricing structures for digital products. It provides actionable frameworks backed by academic citations from researchers like Kahneman and Ariely, allowing developers and marketers to move beyond guesswork and implement testable hypotheses. Whether you are building a SaaS pricing page from scratch or planning complex A/B tests, this skill offers a scientific approach to identifying high-impact tactics while mitigating psychological risks like choice overload.

주요 기능

Pre-built implementation patterns for 3-plan structures and decoy pricing.
3 GitHub stars
Pricing page audit system to identify psychological gaps and growth opportunities.
Guidelines to avoid common anti-patterns like decision paralysis and fake scarcity.
Risk-assessed testing priorities for data-driven A/B experiment planning.
Behavioral economics framework with peer-reviewed academic citations.

사용 사례

Auditing existing checkout flows to reduce abandonment through loss aversion and charm pricing.
Designing high-converting SaaS pricing tiers using center-stage and social proof effects.
Planning evidence-backed pricing experiments with clear success metrics and risk assessments.

소개

주요 기능

Pre-built implementation patterns for 3-plan structures and decoy pricing.
3 GitHub stars
Pricing page audit system to identify psychological gaps and growth opportunities.
Guidelines to avoid common anti-patterns like decision paralysis and fake scarcity.
Risk-assessed testing priorities for data-driven A/B experiment planning.
Behavioral economics framework with peer-reviewed academic citations.

사용 사례

Auditing existing checkout flows to reduce abandonment through loss aversion and charm pricing.
Designing high-converting SaaS pricing tiers using center-stage and social proof effects.
Planning evidence-backed pricing experiments with clear success metrics and risk assessments.