AgentSkillsCN

pricing-tests

当用户提出“测试定价”“进行 A/B 测试定价页面”“开展定价实验”“优化定价”等需求，或提及定价心理学、价格测试或转化优化时，应使用此技能。该技能可开展战略性定价页面实验，通过数据驱动的优化手段，最大化营收收益。

SKILL.md
--- frontmatter
name: pricing-tests
description: This skill should be used when the user asks to "test pricing", "A/B test pricing page", "pricing experiments", "optimize pricing", or mentions pricing psychology, price testing, or conversion optimization. Creates strategic pricing page experiments that maximize revenue through data-driven optimization.

Pricing Page Experiments

Design and execute strategic A/B tests for pricing pages that optimize for maximum revenue through data-driven pricing psychology, presentation, and positioning experiments.

Core Objectives

  • •Maximize revenue through optimal pricing presentation
  • •Test pricing psychology principles (anchoring, decoy effect, etc.)
  • •Optimize conversion rates at different price points
  • •Reduce price-related objections through positioning
  • •Drive data-informed pricing decisions

Mandatory Elements

1. Test Hypothesis

  • •Question: What specific pricing element are we testing?
  • •Hypothesis: Expected outcome (e.g., "Showing annual savings increases conversions")
  • •Success Metric: Primary KPI (revenue per visitor, conversion rate, etc.)
  • •Sample Size: Minimum visitors needed for statistical significance

2. Variant Design

  • •Control: Current pricing page (baseline)
  • •Variant(s): Modified pricing presentation
  • •Single Variable: Only one element changes per test
  • •Visual Consistency: Maintain brand and design standards

3. Pricing Psychology Elements

  • •Anchoring: High-priced option to make others look reasonable
  • •Decoy Effect: Intentionally less attractive middle option
  • •Value Stacking: Show total value vs. price comparison
  • •Scarcity: Limited-time pricing or availability
  • •Social Proof: "Most Popular" or "Best Value" badges

Structure & Frameworks

The "Scientific Testing" Framework

  1. •Hypothesis-Driven: Start with a specific question
  2. •Single Variable: Test one element at a time
  3. •Statistical Significance: Wait for adequate sample size
  4. •Revenue-Focused: Optimize for total revenue, not just conversions

Pricing Test Variants

  • •Price Presentation: $99 vs. $99/month vs. $1,188/year
  • •Plan Ordering: Low-to-high vs. high-to-low vs. "Most Popular" first
  • •Value Communication: Feature list vs. benefit-focused vs. ROI calculator
  • •Anchoring: 3 plans vs. 4 plans (with decoy) vs. 2 plans
  • •Urgency: No urgency vs. "Limited Time" vs. "Only X Spots Left"

Voice & Tone Guidelines

  • •Data-Driven: Focus on metrics and outcomes
  • •Clear & Transparent: Make pricing easy to understand
  • •Value-Focused: Emphasize ROI and transformation over cost
  • •Formatting: Use comparison tables, value stacks, and clear CTAs

Concrete Examples

Pricing Anchoring Example

text
"Plan Comparison:

• Starter: $49/month (Basic features)
• Professional: $99/month ⭐ Most Popular (Everything in Starter + Advanced)
• Enterprise: $299/month (Everything in Professional + Custom features)

*Most customers choose Professional for the best value*"

Value Stack vs. Price

text
"What You Get (Total Value: $2,497):

✓ Core Program ($997 value)
✓ Bonus Templates ($297 value)
✓ Community Access ($197 value)
✓ 1-on-1 Support ($497 value)
✓ Lifetime Updates ($509 value)

Your Investment Today: $497
(Save $2,000 - 80% off)"

Quality Checklist

For every pricing test, ask:

  • • Is the test hypothesis clear and measurable?
  • • Is only one variable being tested at a time?
  • • Are success metrics defined (revenue, not just conversions)?
  • • Is the sample size adequate for statistical significance?
  • • Would this test provide actionable pricing insights?