Learn how anchoring, psychology, and quick tests make your tiers shine. 🌌

— Anchoring, A/B tests, and psychology—simplified into prompts you can use today.

Estimated Reading Time: 5 Minutes. — Wednesday, August 27th, 2025.

Hello again, Morphoicers!

You’ve built your course. You’ve shaped your tiered offers. Now comes the question that can make or break your launch: what should you charge?

This week in Tools of the Trade, we’re unpacking how to use AI prompts to test, validate, and fine-tune your pricing strategy.

Because pricing isn’t just about covering costs—it’s about signaling value, sparking upgrades, and making your offer the one students can’t resist.

Let‘s get started!

Today’s Tool: Pricing Validation Prompts

Tool Type: AI Prompt Templates for Course Pricing.
Key Benefit: Quickly create and test pricing models grounded in psychology, not guesswork.

Why It Works

Pricing is equal parts math and mind games. The way you present numbers can:

• Anchor how students perceive value

• Nudge learners toward higher-tier packages

• Boost confidence in your course’s worth

With the right prompts, you can brainstorm price points, run lightweight tests, and refine based on results—without stalling your launch.

Prompt 1: Anchored Pricing Models

Purpose: To create three anchored pricing models for a tiered AI-driven course offer (Basic, Pro, Premium), using psychological pricing to position Pro as the best-value choice and Premium as the high-value benchmark for e-commerce businesses.Prompt.

Title: AI-Generated Anchored Pricing Models for Tiered AI-Driven Course Offer.

Refined AI Prompt Template – Anchored Pricing Models

Prompt Title: Generate Three Anchored Pricing Models for Tiered AI-Driven Course Offer (Basic / Pro / Premium)

1. Role & Expertise Definition
You are a pricing strategist and conversion copy expert specializing in tiered offer psychology and anchoring tactics for AI-driven courses. You excel at crafting pricing models that position the Pro tier as the best-value choice for [niche/audience] in [industry/niche], with Premium as the aspirational benchmark.

2. Goal
Generate three anchored pricing models for a tiered (Basic, Pro, Premium) [topic] course for [niche/audience]. Each model should include price points in [currency], perceived value, and positioning guidance, formatted as sales page pricing table drafts.

3. Context / Background
Anchored pricing leverages contrast to influence buyer decisions in [industry/niche]. A high Premium price makes the Pro tier the “value sweet spot,” driving conversions for [niche/audience]. The outputs will serve as drafts for sales pages or upsell comparison charts, addressing [pain points] and [aspirations].

4. Constraints
- Provide three distinct pricing models.
- Include price points for Basic, Pro, and Premium in [currency].
- Describe perceived value for each tier (≤ 30 words per tier).
- Include positioning guidance for sales page presentation.
- Ensure Pro is highlighted as the best-value option.
- Keep models deliverable and aligned with [delivery style].
- Avoid overly complex tier descriptions.

5. Input Variables
- [topic] → e.g., AI-driven customer support
- [niche/audience] → e.g., e-commerce store owners
- [currency] → e.g., EUR
- [delivery style] → e.g., self-paced, hybrid
- [positioning emphasis] → e.g., Pro as best value, Premium as aspirational
- [industry/niche] → e.g., e-commerce
- [pain points] → e.g., technical overwhelm, low tech adoption
- [aspirations] → e.g., streamlined operations, increased sales

6. Step-by-Step Instructions
- Define price points for Basic, Pro, and Premium in Model 1 (balanced).
- Create Model 2 with a high Premium price to anchor Pro as best value.
- Create Model 3 with close Basic/Pro pricing to drive upgrades.
- Describe perceived value for each tier (≤ 30 words).
- Provide positioning notes for sales page (e.g., highlight Pro as “Most Popular”).
- Suggest a visual aid for pricing table design.

7. Core Prompt
You are a pricing strategist. Generate three anchored pricing models for a tiered (Basic, Pro, Premium) [topic] course for [niche/audience] in [industry/niche]. Suggest price points in [currency], describe perceived value (≤ 30 words per tier), and include positioning notes for sales page presentation. Ensure Pro is the best-value choice and Premium is aspirational, aligned with [delivery style]. Format as sales page pricing table drafts. Suggest a visual aid and [tracking metrics].

8. Execution Steps (AI Output Structure)
- Overview: Purpose and strategy of the anchored pricing models.
- Model 1 (Balanced): Price points, perceived value, and positioning for Basic, Pro, Premium.
- Model 2 (High Anchor): High Premium price to emphasize Pro’s value.
- Model 3 (Upgrade Push): Close Basic/Pro pricing to drive upgrades.
- Visual Suggestion: Recommend a pricing table design (e.g., Canva).
- Tracking Metrics: Suggest metrics (e.g., conversion rate, tier selection rate).

9. Workflow Link
Connect to Workflow: [Sales → Offer Creation → Pricing Table Development]
- Define [topic] and [niche/audience] needs.
- Generate pricing models addressing [pain points] and [aspirations].
- Design sales page table with Pro as “Most Popular.”
- Track [tracking metrics] to optimize conversions.

10. Example Output
Topic: AI-Driven Customer Support
Niche/Audience: E-commerce store owners
Currency: EUR
Delivery Style: Self-paced
Positioning Emphasis: Pro as best value, Premium as aspirational
Industry/Niche: E-commerce
Pain Points: Technical overwhelm, low tech adoption
Aspirations: Streamlined operations, increased sales
Tracking Metrics: Conversion rate, tier selection rate

Overview: These pricing models for the AI-Driven Customer Support Course position Pro as the best-value choice for e-commerce store owners, addressing technical overwhelm and driving streamlined operations.

Model 1 (Balanced):
- Basic: €149 → Core lessons, ideal for beginners tackling technical overwhelm.
  - Positioning: Entry-level, affordable start for small stores.
- Pro: €349 → Best value, includes templates, community, and Q&A for growth.
  - Positioning: Highlight as “Most Popular” for high ROI.
- Premium: €799 → Aspirational, with coaching and AI tools for scaling.
  - Positioning: High-touch, exclusive for ambitious owners.

Model 2 (High Anchor):
- Basic: €199 → Starter access, solves basic technical issues.
  - Positioning: Budget-friendly, limited features.
- Pro: €399 → Sweet spot, templates and community for efficiency.
  - Positioning: Emphasize value, “Most Popular” badge.
- Premium: €1,499 → Elite coaching, makes Pro feel affordable.
  - Positioning: Aspirational anchor for serious players.

Model 3 (Upgrade Push):
- Basic: €249 → Limited lessons, feels restrictive for growth.
  - Positioning: Basic, pushes upgrades.
- Pro: €349 → Just €100 more, full access for automation.
  - Positioning: Highlight as best deal, “Recommended.”
- Premium: €999 → Exclusive tools and coaching for scale.
  - Positioning: Premium, aspirational credibility.

Visual Suggestion: Canva pricing table with Pro highlighted in bold colors, “Most Popular” badge.
Tracking Metrics: Monitor conversion rate and tier selection rate via Thinkific analytics.

11. Optional Enhancements
- Add branded tier names (e.g., Starter, Growth, Elite).
- Include a limited-time discount for Pro to boost urgency.
- Suggest a comparison chart showing feature differences.
- Offer a testimonial per tier for social proof.

12. Common Mistakes to Avoid
- Pricing tiers too close, reducing upgrade incentives.
- Setting Premium too high to be deliverable.
- Failing to highlight Pro as the best-value option.
- Overloading value descriptions with jargon.

13. Additional Premium Enhancements
- Customization Options:
  - Users can specify [pain points], [aspirations], or [delivery style].
  - Adjust price points for [niche/audience] budgets (e.g., small vs. enterprise).
  - Include specific [core transformation] outcomes for relevance.
- Advanced Variations:
  - Variation 1: Tailor for [niche/audience] segments (e.g., beginners vs. advanced).
  - Variation 2: Focus on [delivery style] (e.g., hybrid with live Q&A).
  - Variation 3: Include a subscription-based pricing option.
- Visual/Structural Guides:
  - Suggest a Canva pricing table with feature comparison.
  - Include a funnel diagram for sales page conversion flow.

14. Review and Refinement Criteria
After completing the output, review for:
- Relevance: Do models address [pain points] and [aspirations]?
- Positioning: Is Pro clearly the best-value choice?
- Feasibility: Are price points deliverable for [delivery style]?
- Clarity: Are value descriptions concise and compelling?
- Impact: Do [tracking metrics] align with conversion goals?
Refine to ensure models are professional, persuasive, and actionable.

15. Implementation Guide
Use models to design a sales page pricing table on [delivery platform, e.g., Thinkific]. Highlight Pro with visual cues. Test models with [niche/audience] and track [tracking metrics] for optimization.

16. Final Notes
This prompt ensures three anchored pricing models for [course/program name], driving conversions for [niche/audience] in [industry/niche] by positioning Pro as the optimal choice.

Indications of Use – Anchored Pricing Models Prompt

Placeholders and Their Meaning

1. [topic]

   • Defines the course subject (e.g., “AI-driven customer support”).

   • Guides the pricing context and language.

2. [niche/audience]

   • The target buyers (e.g., “e-commerce store owners”).

   • Ensures messaging matches the buyer’s reality.

3. [currency]

   • The price unit (e.g., EUR, USD).

   • Critical to localize pricing credibility.

4. [delivery style]

   • The format (e.g., self-paced, hybrid, live cohort).

   • Shapes how perceived value is described.

5. [positioning emphasis]

   • Strategy focus (e.g., “Pro as best value, Premium as aspirational”).

   • Instructs AI how to frame comparisons.

6. [industry/niche]

   • Sector context (e.g., e-commerce, SaaS, coaching).

   • Keeps pricing logic aligned with norms.

7. [pain points]

   • Key struggles of the target audience (e.g., “technical overwhelm, low adoption”).

   • Makes perceived value relevant and persuasive.

8. [aspirations]

   • Desired outcomes (e.g., “streamlined operations, increased sales”).

   • Positions higher tiers as solutions to ambitions.

9. [tracking metrics]

   • What will be measured (e.g., conversion rate, tier selection).

   • Ensures data-driven pricing optimization.

10. [course/program name]

• Optional name of the product (e.g., “AI Growth Mastery”).

• Makes outputs look professional and publish-ready.

11. [delivery platform]

• Where the pricing table will live (e.g., Thinkific, Kajabi).

• Helps the AI suggest realistic visual or structural cues.

Notes on Usage

• Must Always Change:

  • [topic]

  • [niche/audience]

  • [currency]

  • [industry/niche]

• Optional (but improves results):

  • [pain points] and [aspirations] → sharper value descriptions.

  • [delivery style] → makes tiers feel tailored.

  • [positioning emphasis] → clarifies anchoring intent.

  • [tracking metrics] → helps AI output actionable success criteria.

  • [course/program name] → adds polish but not essential.

  • [delivery platform] → improves visual aid suggestions.

Example Output:

Prompt 2: Price Psychology Options

Purpose: To generate three price psychology prompts for an AI-driven course, leveraging tactics like anchoring, decoy effect, and charm pricing to boost conversions while maintaining perceived value.

Title: AI-Generated Price Psychology Prompts for AI-Driven Course Conversions.

AI Prompt Template: Generate Price Psychology Prompts

1. Role and Context
You are a behavioral economics strategist specializing in price psychology for AI-driven online courses. You design prompts that apply anchoring, decoy tiers, charm pricing, and urgency triggers to maximize conversions for [niche audience] in [industry/niche], ensuring ethical and persuasive pricing strategies.

2. Goal and Deliverable
Generate three prompts that explore price psychology tactics for a [offer type] on [topic] targeting [niche audience]. Each prompt should:
- Suggest 3–5 psychology-based tactics.
- Explain why each tactic works.
- Provide examples tailored to [offer type] pricing.
- Highlight expected impact on conversions or perceived value.

3. Output Structure
Each prompt response should include:
- Tactic Name (e.g., Anchoring, Decoy Effect)
- How It Works (1–2 sentences)
- Application to [offer type] (practical example)
- Expected Impact (e.g., increased conversions, higher perceived value)

4. Tone and Style
- Action-oriented, clear, and concise.
- Use simple terms, avoiding heavy economics jargon.
- Persuasive but ethical, avoiding manipulative framing.
- Professional yet accessible for [niche audience].

5. Constraints and Specifications
- Provide three distinct prompts, each with 3–5 tactics.
- Ensure examples fit [offer type] (e.g., online course, membership).
- Include placeholders: [topic], [offer type], [price point], [niche audience], [industry/niche], [pain points], [aspirations].
- Keep each tactic explanation under 100 words.
- Align with [delivery style] (e.g., self-paced, hybrid).

6. Input Variables
- [topic] → e.g., AI-driven customer support
- [offer type] → e.g., online course
- [price point] → e.g., €499
- [niche audience] → e.g., e-commerce store owners
- [industry/niche] → e.g., e-commerce
- [pain points] → e.g., technical overwhelm, low tech adoption
- [aspirations] → e.g., streamlined operations, increased sales
- [delivery style] → e.g., self-paced
- [tracking metrics] → e.g., conversion rate, average cart value

7. Core Prompt
You are a behavioral economics strategist. Generate three price psychology prompts for a [offer type] on [topic] at [price point] targeting [niche audience] in [industry/niche]. Each prompt should suggest 3–5 tactics (e.g., anchoring, decoy effect, charm pricing), explain why they work, provide examples for [offer type], and highlight expected impact. Align with [delivery style], address [pain points] and [aspirations], and keep explanations under 100 words per tactic. Use a professional, action-oriented tone. Suggest a visual aid (e.g., pricing table) and recommend [tracking metrics].

8. Execution Steps (AI Output Structure)
- Overview: Purpose and strategy of the price psychology prompts.
- Prompt 1: 3–5 tactics with explanations, examples, and impact for [offer type].
- Prompt 2: 3–5 tactics with variations for broader appeal or urgency.
- Prompt 3: 3–5 tactics tailored for high-ticket or specific [niche audience] needs.
- Visual Suggestion: Recommend a visual (e.g., Canva pricing table).
- Tracking Metrics: Suggest [tracking metrics] for performance.

9. Workflow Link
Pairs with:
- Generate B2B Pricing Strategy Prompts (macro pricing models).
- Generate Offer Bundling Prompts (frame bundles attractively).
- Generate Sales Page Copy Prompts (weave pricing tactics into copy).
Steps: Define [topic] and [niche audience] → generate prompts → apply tactics to sales page → track [tracking metrics].

10. Example Output
Topic: AI-Driven Customer Support
Offer Type: Online course
Price Point: €499
Niche Audience: E-commerce store owners
Industry/Niche: E-commerce
Pain Points: Technical overwhelm, low tech adoption
Aspirations: Streamlined operations, increased sales
Delivery Style: Self-paced
Tracking Metrics: Conversion rate, average cart value

Overview: These prompts apply price psychology to boost conversions for a €499 AI-Driven Customer Support Course, addressing technical overwhelm and driving streamlined operations for e-commerce store owners.

Prompt 1: Basic Conversion Boost
- Tactic: Charm Pricing
  - How It Works: Prices ending in 9 feel lower than rounded numbers, increasing perceived affordability.
  - Application: Price course at €499 instead of €500; label as “Starter Plan.”
  - Expected Impact: Increases conversions by making price feel more accessible.
- Tactic: Anchoring
  - How It Works: A higher reference price makes the actual price seem like a deal.
  - Application: Show “Valued at €1,000, yours for €499” on sales page.
  - Expected Impact: Enhances perceived value, driving sales.
- Tactic: Scarcity
  - How It Works: Limited availability creates urgency, prompting faster purchases.
  - Application: Add “Only 50 spots at €499” to sales page.
  - Expected Impact: Boosts conversions by encouraging immediate action.

Prompt 2: Mid-Tier Appeal
- Tactic: Decoy Effect
  - How It Works: A less attractive mid-tier makes the Pro tier seem like the best value.
  - Application: Offer Basic (€299, limited), Pro (€499, full access), and Premium (€999).
  - Expected Impact: Drives Pro tier sales as the sweet spot.
- Tactic: Social Proof
  - How It Works: Testimonials validate quality, reducing purchase hesitation.
  - Application: Include “1,000+ store owners trained” next to €499 price.
  - Expected Impact: Increases trust and conversions.
- Tactic: Urgency Trigger
  - How It Works: Time-limited offers spur action to avoid missing out.
  - Application: Add “Price rises to €599 after 72 hours” countdown.
  - Expected Impact: Accelerates purchase decisions.

Prompt 3: High-Ticket Positioning
- Tactic: Bundle Framing
  - How It Works: Bundling extras increases perceived value without lowering price.
  - Application: Offer €499 course + free AI tool templates (valued at €200).
  - Expected Impact: Enhances perceived value, justifying €499 price.
- Tactic: Tiered Anchoring
  - How It Works: High Premium price makes Pro seem affordable and practical.
  - Application: Basic (€199), Pro (€499), Premium (€1,499 with coaching).
  - Expected Impact: Shifts sales toward Pro tier.
- Tactic: Loss Aversion
  - How It Works: Highlighting potential losses (e.g., missed efficiency) drives action.
  - Application: Note “Don’t lose sales to slow support – join for €499.”
  - Expected Impact: Increases conversions by emphasizing risk of inaction.

Visual Suggestion: Canva pricing table with Pro tier highlighted as “Most Popular” and testimonials.
Tracking Metrics: Monitor conversion rate and average cart value via Thinkific analytics.

11. Optional Enhancements
- Add a limited-time bonus for early sign-ups.
- Include a FAQ section addressing price objections.
- Suggest A/B testing for charm pricing vs. rounded prices.
- Offer a visual comparison chart for tiered offers.

12. Common Mistakes to Avoid
- Overusing scarcity, reducing credibility.
- Making decoy tiers too similar to Pro, confusing buyers.
- Ignoring [pain points] in tactic applications.
- Overcomplicating examples, reducing clarity for [niche audience].

13. Additional Premium Enhancements
- Customization Options:
  - Users can specify [pain points], [aspirations], or [delivery style].
  - Adjust tactics for [niche audience] budgets (e.g., small vs. enterprise).
  - Include specific [core transformation] outcomes for relevance.
- Advanced Variations:
  - Variation 1: Tailor for [niche audience] segments (e.g., beginners vs. advanced).
  - Variation 2: Focus on high-ticket [offer type] (e.g., coaching).
  - Variation 3: Include subscription-based pricing tactics.
- Visual/Structural Guides:
  - Suggest a Canva pricing table with highlighted Pro tier.
  - Include a funnel diagram for pricing-to-conversion flow.

14. Review and Refinement Criteria
After completing the output, review for:
- Relevance: Do tactics address [pain points] and [aspirations]?
- Clarity: Are examples practical for [offer type] and [delivery style]?
- Ethics: Are tactics persuasive without being manipulative?
- Impact: Do [tracking metrics] align with conversion goals?
- Usability: Are prompts actionable for [niche audience]?
Refine to ensure prompts are professional, clear, and conversion-focused.

15. Implementation Guide
Use prompts to craft pricing strategies for [offer type] on [delivery platform, e.g., Thinkific]. Apply tactics to sales page copy and test with [niche audience]. Track [tracking metrics] to optimize conversions.

16. Final Notes
These prompts ensure ethical, psychology-driven pricing strategies for [offer type] on [topic], maximizing conversions for [niche audience] in [industry/niche] while maintaining high perceived value.

Indications of Use – Price Psychology Options Prompt

Placeholders and Their Meaning

1. [topic]

   • Defines the subject of the course (e.g., “AI-driven customer support”).

   • Keeps tactics relevant to the product itself.

2. [offer type]

   • The product format (e.g., online course, membership, coaching program).

   • Shapes how tactics like bundles or tiers are applied.

3. [price point]

   • The actual selling price (e.g., €499).

   • Used in examples to make tactics feel real.

4. [niche audience]

   • The group being targeted (e.g., e-commerce store owners).

   • Ensures tactics are written in terms that resonate with them.

5. [industry/niche]

   • The market sector (e.g., e-commerce, SaaS, coaching).

   • Keeps examples realistic within that industry’s pricing norms.

6. [pain points]

   • Key struggles buyers face (e.g., “technical overwhelm, low adoption”).

   • Makes tactics persuasive because they connect with buyer challenges.

7. [aspirations]

   • Desired outcomes (e.g., “streamlined operations, increased sales”).

   • Helps tie higher perceived value to what the audience wants.

8. [delivery style]

   • Format of the course (e.g., self-paced, hybrid, live).

   • Ensures examples align with the experience offered.

9. [tracking metrics]

   • What to measure (e.g., conversion rate, average cart value).

   • Allows results of tactics to be tested and optimized.

10. [delivery platform] (optional)

• The platform (e.g., Thinkific, Kajabi).

• Improves realism when suggesting visuals or testing methods.

Notes on Usage

• Must Always Change:

  • [topic]

  • [offer type]

  • [price point]

  • [niche audience]

  • [industry/niche]

• Optional (but improves results):

  • [pain points] and [aspirations] → create sharper, more persuasive tactic examples.

  • [delivery style] → ensures tactics feel tailored to how the course is delivered.

  • [tracking metrics] → makes outputs more actionable.

  • [delivery platform] → improves visual and testing suggestions.

Example Output:

Prompt 3: Split-Test Setup

Purpose: To generate three split-test pricing prompts for an AI-driven course, enabling course creators to validate price points with data-driven A/B or multivariate tests to optimize conversions and revenue for e-commerce businesses.

Title: AI-Generated Split-Test Pricing Prompts for AI-Driven Course Offer.

AI Prompt Template: Generate Split-Test Pricing Prompts

1. Role and Context
You are a conversion optimization strategist specializing in online education, with expertise in designing A/B and multivariate test plans for course pricing. You create prompts that guide AI to produce actionable split-test plans for [offer type], ensuring [niche audience] in [industry/niche] can validate pricing with real data.

2. Goal and Deliverable
Generate three prompts that help course creators design split-test plans for pricing variations of a [offer type] on [topic]. Each prompt should output:
- Two or more test price points.
- Test duration and sample size guidelines.
- Metrics to track (conversion, refunds, upgrades, revenue).
- Clear decision rules for selecting the winner.

3. Output Structure
Each test plan should include:
- Test Name (e.g., €297 vs. €397 Pro Tier Test)
- Price Points Compared
- Test Length & Traffic Source
- Key Metrics (conversions, refunds, upgrades, revenue)
- Decision Criteria (e.g., “Adopt higher price if revenue increases >10%”)

4. Tone and Style
Practical, data-driven, and clear. Write for non-technical [niche audience], avoiding statistical jargon and focusing on actionable steps and results.

5. Constraints and Specifications
- Keep test plans simple (2–3 price points max).
- Always include conversion and revenue as primary metrics.
- Use placeholders: [topic], [offer type], [audience size], [traffic source], [industry/niche], [pain points], [aspirations], [delivery style].
- Ensure decision criteria are concrete and measurable.
- Limit each test plan description to 150 words.

6. Input Variables
- [topic] → e.g., AI-driven customer support
- [offer type] → e.g., online course
- [audience size] → e.g., 1,000 monthly visitors
- [traffic source] → e.g., email list, X ads
- [industry/niche] → e.g., e-commerce
- [pain points] → e.g., technical overwhelm, low tech adoption
- [aspirations] → e.g., streamlined operations, increased sales
- [delivery style] → e.g., self-paced
- [tracking metrics] → e.g., conversion rate, revenue per visitor

7. Core Prompt
You are a conversion optimization strategist. Generate three split-test pricing prompts for a [offer type] on [topic] targeting [niche audience] with [audience size] via [traffic source] in [industry/niche]. Each prompt should suggest 2–3 price points, test duration, sample size, [tracking metrics], and decision criteria. Align with [delivery style], address [pain points] and [aspirations], and keep plans simple. Use a practical, data-driven tone. Suggest a visual aid (e.g., test dashboard) and recommend [tracking metrics].

8. Execution Steps (AI Output Structure)
- Overview: Purpose and strategy of the split-test pricing prompts.
- Prompt 1: Test plan comparing two price points for broad appeal.
- Prompt 2: Test plan with a third price point or bonus variation.
- Prompt 3: Test plan for high-ticket or upsell-focused pricing.
- Visual Suggestion: Recommend a visual (e.g., dashboard for metrics).
- Tracking Metrics: Suggest [tracking metrics] for performance.

9. Workflow Link
Pairs with:
- Generate Price Psychology Prompts (test psychological tactics).
- Generate B2B Pricing Strategy Prompts (test corporate models).
- Generate Analytics & Optimization Prompts (track test outcomes).
Steps: Define [topic] and [niche audience] → generate test plans → implement via [traffic source] → track [tracking metrics] → select winning price.

10. Example Output
Topic: AI-Driven Customer Support
Offer Type: Online course
Audience Size: 1,000 monthly visitors
Traffic Source: Email list, X ads
Industry/Niche: E-commerce
Pain Points: Technical overwhelm, low tech adoption
Aspirations: Streamlined operations, increased sales
Delivery Style: Self-paced
Tracking Metrics: Conversion rate, revenue per visitor

Overview: These split-test pricing prompts validate pricing for a self-paced AI-Driven Customer Support Course, optimizing conversions and revenue for e-commerce store owners by addressing technical overwhelm and driving streamlined operations.

Prompt 1: Pro Tier Price Test
- Test Name: €297 vs. €397 Pro Tier Test
- Price Points: €297 vs. €397
- Test Length & Traffic Source: 3 weeks, split 50/50 across 1,000 email list subscribers
- Key Metrics: Conversion rate, revenue per visitor, refund rate
- Decision Criteria: Adopt higher price if revenue per visitor increases >10% with refund rate <5%
- Description: Test €297 vs. €397 for the Pro tier to maximize revenue while maintaining conversions. Use email campaigns to drive traffic, emphasizing streamlined operations to address technical overwhelm.

Prompt 2: Bonus Variation Test
- Test Name: €397 vs. €397 + Bonus Test
- Price Points: €397 (standard) vs. €397 (includes free AI tool templates valued at €150)
- Test Length & Traffic Source: 2 weeks, 500 visitors per variant via X ads
- Key Metrics: Conversion rate, revenue per visitor, upsell interest
- Decision Criteria: Choose bonus variant if conversions increase >15% without reducing revenue
- Description: Compare standard €397 course with a €397 version including free AI templates. Use X ads to target e-commerce owners, highlighting increased sales potential to boost conversions.

Prompt 3: High-Ticket Tier Test
- Test Name: €697 vs. €897 Premium Tier Test
- Price Points: €697 vs. €897 (Premium tier with coaching)
- Test Length & Traffic Source: 4 weeks, 1,000 email list subscribers
- Key Metrics: Conversion rate, revenue per visitor, refund rate
- Decision Criteria: Adopt €897 if revenue per visitor rises >12% with refunds <3%
- Description: Test Premium tier pricing to find the optimal high-ticket price for e-commerce owners seeking a competitive edge. Use email campaigns to highlight coaching benefits and aspirational value.

Visual Suggestion: Canva dashboard showing conversion rates and revenue per variant.
Tracking Metrics: Monitor conversion rate and revenue per visitor via Thinkific and Google Analytics.

11. Optional Enhancements
- Include a third test variant with a time-limited discount.
- Add a post-test survey to gather buyer feedback.
- Suggest testing payment plans (e.g., €397 vs. 3x €150).
- Offer a spreadsheet template for tracking results.

12. Common Mistakes to Avoid
- Testing too many variables, confusing results.
- Neglecting [pain points] in test messaging.
- Using unrealistic sample sizes for [audience size].
- Setting vague decision criteria, hindering winner selection.

13. Additional Premium Enhancements
- Customization Options:
  - Users can specify [pain points], [aspirations], or [traffic source].
  - Adjust test duration for smaller [audience size] (e.g., <500 visitors).
  - Include specific [delivery style] considerations (e.g., hybrid).
- Advanced Variations:
  - Variation 1: Tailor for [niche audience] segments (e.g., beginners vs. advanced).
  - Variation 2: Focus on subscription-based [offer type] pricing.
  - Variation 3: Include tests for bundled offers (e.g., course + membership).
- Visual/Structural Guides:
  - Suggest a Canva dashboard for visualizing test outcomes.
  - Include a funnel diagram for traffic-to-conversion flow.

14. Review and Refinement Criteria
After completing the output, review for:
- Relevance: Do tests address [pain points] and [aspirations]?
- Simplicity: Are plans limited to 2–3 variables?
- Clarity: Are decision criteria measurable and actionable?
- Usability: Are prompts practical for [niche audience]?
- Impact: Do [tracking metrics] align with revenue goals?
Refine to ensure prompts are data-driven, actionable, and conversion-focused.

15. Implementation Guide
Use prompts to set up tests on [delivery platform, e.g., Thinkific] via [traffic source]. Split traffic evenly, track [tracking metrics], and apply decision criteria to select the winning price.

16. Final Notes
These prompts ensure data-driven split-test plans for [offer type] on [topic], optimizing pricing for [niche audience] in [industry/niche] to maximize conversions and revenue.

Indications of Use – Split-Test Setup Prompt

Placeholders and Their Meaning

1. [topic]

   • Course subject (e.g., “AI-driven customer support”).

   • Defines the focus of the test.

2. [offer type]

   • Format of the product (e.g., online course, membership).

   • Makes test plans specific to the product model.

3. [audience size]

   • Number of potential participants (e.g., “1,000 monthly visitors”).

   • Sets realistic test duration and traffic split.

4. [traffic source]

   • Where test participants come from (e.g., email list, ads).

   • Guides how results will be gathered.

5. [industry/niche]

   • Sector context (e.g., e-commerce).

   • Aligns pricing ranges with industry standards.

6. [pain points]

   • Main struggles of the audience (e.g., “technical overwhelm”).

   • Ensures test messaging connects with real problems.

7. [aspirations]

   • Desired outcomes (e.g., “streamlined operations, increased sales”).

   • Helps frame higher price tiers as aspirational.

8. [delivery style]

   • Format of delivery (e.g., self-paced, hybrid).

   • Shapes how value is positioned during tests.

9. [tracking metrics]

   • Success measures (e.g., conversion rate, revenue per visitor).

   • Ensures decision-making is data-driven.

10. [delivery platform] (optional)

• Platform used (e.g., Thinkific, Kajabi).

• Useful for visual aid or dashboard suggestions.

Notes on Usage

• Must Always Change:

  • [topic]

  • [offer type]

  • [audience size]

  • [traffic source]

  • [industry/niche]

• Optional (but improves results):

  • [pain points] and [aspirations] → make test descriptions more persuasive.

  • [delivery style] → improves alignment with real product format.

  • [tracking metrics] → adds precision and clarity to decision criteria.

  • [delivery platform] → makes output more practical for implementation.

Example Output:

Mini Review: Pros & Cons

Pros:

• Removes guesswork with clear models.

• Reveals pricing “sweet spots”.

• Supports data-driven decisions.

Cons:

• Split-tests need traffic to be valid.

• Too much tinkering can delay your launch.

Final Verdict

Pricing isn’t set-and-forget. With prompts, you can create anchored options, validate them quickly, and keep refining until your offers strike the perfect balance of value and conversion.

Top 5 Industry News

• Teachable rolls out dynamic pricing experiments—A/B test directly in-platform

• Kajabi launches revenue-optimized checkout flows—upsells made easier

• Thinkific adds “value stack visuals”—stronger tiered offer design

• Circle introduces member polling tools—test pricing before launch

• Stripe upgrades analytics dashboards—track conversion data more clearly

Takeaways

• Tip 1: Use anchoring to make mid-tier offers shine

• Tip 2: Leverage psychology for subtle nudges that sell

• Tip 3: Test prices in the wild before scaling big

Until next time, price smart, test fast, and trust the numbers.

— Valentine.
The solopreneur’s favorite AI course creation companion.

P. S. —  Some weeks these Deep Dives will be long, some short — still figuring it out. What do you prefer? Quick wins or detailed breakdowns? Reply and vote.