--- name: conversion description: "Use this skill when the user needs to improve conversion rates, reduce funnel drop-off, optimize signup flows, or increase trial-to-paid conversion. Covers funnel analysis, friction reduction, behavioral psychology, social proof, and A/B testing strategies." ---

# Conversion Rate Optimization

Every page has one job. If you can't name it, the page is broken. This skill helps you find where users drop off and fix it.

## Core Principles

- Friction is the enemy. Every field, click, and decision point costs conversions. - Don't guess — measure. But don't measure everything — measure what drives revenue. - Social proof is the most underused conversion lever in SaaS. - Speed is a feature. Every 100ms of load time costs ~1% conversion. - The best optimization is often removal, not addition.

---

## Finding Your Biggest Bottleneck

Before optimizing, find where users actually drop off.

### Step 1: Map Your Funnel

``` Typical SaaS funnel: Landing page visit → Signup page viewed → Account created → Onboarding started → Key action completed → Returned next week → Upgrade page viewed → Subscription created ```

### Step 2: Measure Drop-Off

**Tell AI:** ``` Analyze our conversion funnel: - Pull the number of users at each step: [list your funnel steps] - Calculate the drop-off % between each step - Identify the step with the biggest drop-off — that's our priority - Show results in a table: Step | Users | Drop-off % ```

**If you don't have analytics yet:** Set them up first (see analytics-instrumentation skill). In the meantime, track manually: count signups, count activations, count paying customers. Even rough numbers reveal the biggest leak.

### Step 3: Diagnose Why

For the biggest drop-off, evaluate the page/flow using this framework:

1. **CLARITY:** Does the user know what to do and why? 2. **MOTIVATION:** Is the value of completing this step obvious? 3. **FRICTION:** What's making this harder than it needs to be? 4. **ANXIETY:** What fears or objections might stall the user? 5. **DISTRACTION:** What elements compete with the primary action?

---

## Signup & Registration

- Minimize fields. Email + password is ideal. Email-only or SSO is even better. - Defer everything else to onboarding (company name, role, team size). - Show password requirements before the user types, not after they fail. - Social login (Google, GitHub) should be visually prominent if your audience uses them. - Post-signup, go DIRECTLY to value — not a "check your email" dead end.

**Tell AI:** ``` Simplify our signup flow: - Reduce to email + password (or email-only with magic link) - Add Google Sign-In as the most prominent option - After signup, redirect directly to onboarding (not "check your email") - Defer all profile questions (name, company, role) to later ```

---

## Pricing Page Optimization

- Always include a recommended/highlighted tier. - Show annual pricing by default with monthly as a toggle. - Use price anchoring: show the most expensive plan first or feature the mid-tier. - "Free forever" converts better than "free trial" for hesitators. - Add FAQ section: "Can I cancel anytime?", "What happens to my data?", "Is there a setup fee?"

**Tell AI:** ``` Optimize our pricing page: - Highlight the recommended tier with a visual badge ("Most Popular") - Default to annual pricing (show monthly as toggle) - Add a comparison table showing features by tier - Add FAQ section below pricing addressing common objections - Add social proof near the CTA: "[X] teams already use [Product]" ```

---

## Trial-to-Paid Conversion

- **Reverse trial:** Give full access, then downgrade — users feel loss aversion. - Show usage vs. plan limits: "You've used 847 of 1,000 API calls this month." - Trigger upgrade prompts at the moment of value, not on a timer. - Frame limits as growth: "Your team is growing! Upgrade to add unlimited members."

**Tell AI:** ``` Improve trial-to-paid conversion: - Show usage meters on the dashboard: "X of Y [resource] used" - When user hits 80% of a limit, show a gentle prompt: "You're growing! Upgrade for unlimited [resource]" - 3 days before trial ends, show banner: "Your trial ends [date]. Keep everything by upgrading." - After trial ends, downgrade features but keep their data intact ```

---

## Form Optimization

- Multi-step forms convert 20-40% better than single long forms. - Show progress: "Step 2 of 3" - Start with easy/engaging questions (not name/email). - Use smart defaults: pre-select the most common option. - Inline validation on blur. Show checkmarks for completed fields.

**Tell AI:** ``` Convert our [signup/onboarding] form to multi-step: - Step 1: The easiest, most engaging question - Step 2: The information we need to deliver value - Step 3: Account details (email, password) - Add progress indicator ("Step 2 of 3") - Validate inline on blur with green checkmarks - Use appropriate input types (email, tel, number) for mobile keyboards ```

---

## Behavioral Triggers

| Trigger | How to Use It | |---------|--------------| | **Loss aversion** | "Your free trial ends in 3 days" > "Upgrade now" | | **Social proof** | "4,200 teams signed up this month" | | **Anchoring** | Show the "before" (manual, slow) vs. "after" (with your product) | | **Commitment/consistency** | Small yes → big yes. Free tool → signup → paid. | | **Scarcity (use honestly)** | "3 spots left in this cohort" (only if true) |

**Tell AI:** ``` Add social proof and behavioral triggers to our [signup/pricing/landing] page: - Add a live counter or recent activity: "[X] teams signed up this month" - Add testimonial quotes near the CTA - Add trust badges near payment forms (SSL, money-back guarantee) - Frame the CTA as low-commitment: "Start free — no credit card required" ```

---

## A/B Testing (Simple Version)

You don't need complex testing infrastructure. Here's the bootstrapped founder approach:

### When to A/B Test

- You have at least 100 users/week going through the flow - You have a specific hypothesis, not just "let's try something different" - The change is significant enough to matter (button color doesn't matter; headline copy does)

### How to Run a Test

**Tell AI:** ``` Set up a simple A/B test: - Create a feature flag that splits users 50/50 - Variant A: [current version] - Variant B: [proposed change] - Track [conversion event] for both variants - Run until we have 100+ users per variant (or 2 weeks, whichever is longer) - Show me the conversion rate for each variant ```

### Reading Results

- **>20% difference:** Likely real. Ship the winner. - **5-20% difference:** Might be real. Run longer or test with more users. - **<5% difference:** Probably noise. Either change doesn't matter or your test needs more volume.

**Rule:** Don't peek at results daily and stop early. Set a duration and stick to it.

---

## What to Measure

| Metric | What It Tells You | |--------|------------------| | Signup rate (visitor → account) | Is your landing page compelling? | | Activation rate (account → key action) | Is your onboarding working? | | Trial-to-paid conversion | Is your product delivering enough value? | | Time to value | How fast do users reach "aha"? | | Expansion revenue triggers | What behavior precedes upgrades? |

---

## Common Mistakes

| Mistake | Fix | |---------|-----| | Optimizing low-traffic pages | Focus on your highest-traffic funnel step | | A/B testing button colors | Test headlines, CTAs, and page structure instead | | Adding more fields "for data" | Every field costs conversions. Defer to later. | | Ignoring mobile | 50%+ of traffic is mobile. Test there first. | | Complex testing tools at small scale | Feature flags are enough until 1,000+ users/week |

---

## Related Skills

- **growth** — PLG strategy, activation, and viral loops - **landing-page** — Build and optimize the pages driving conversions - **pricing** — Pricing page optimization and tier design - **analytics** — Track funnel metrics and measure experiments - **copywriting** — Write CTAs and headlines that convert

--- name: conversion description: "Use this skill when the user needs to improve conversion rates, reduce funnel drop-off, optimize signup flows, or increase trial-to-paid conversion. Covers funnel analysis, friction reduction, behavioral psychology, social proof, and A/B testing strategies." ---

# Conversion Rate Optimization

Every page has one job. If you can't name it, the page is broken. This skill helps you find where users drop off and fix it.

## Core Principles

- Friction is the enemy. Every field, click, and decision point costs conversions. - Don't guess — measure. But don't measure everything — measure what drives revenue. - Social proof is the most underused conversion lever in SaaS. - Speed is a feature. Every 100ms of load time costs ~1% conversion. - The best optimization is often removal, not addition.

---

## Finding Your Biggest Bottleneck

Before optimizing, find where users actually drop off.

### Step 1: Map Your Funnel

``` Typical SaaS funnel: Landing page visit → Signup page viewed → Account created → Onboarding started → Key action completed → Returned next week → Upgrade page viewed → Subscription created ```

### Step 2: Measure Drop-Off

**Tell AI:** ``` Analyze our conversion funnel: - Pull the number of users at each step: [list your funnel steps] - Calculate the drop-off % between each step - Identify the step with the biggest drop-off — that's our priority - Show results in a table: Step | Users | Drop-off % ```

**If you don't have analytics yet:** Set them up first (see analytics-instrumentation skill). In the meantime, track manually: count signups, count activations, count paying customers. Even rough numbers reveal the biggest leak.

### Step 3: Diagnose Why

For the biggest drop-off, evaluate the page/flow using this framework:

1. **CLARITY:** Does the user know what to do and why? 2. **MOTIVATION:** Is the value of completing this step obvious? 3. **FRICTION:** What's making this harder than it needs to be? 4. **ANXIETY:** What fears or objections might stall the user? 5. **DISTRACTION:** What elements compete with the primary action?

---

## Signup & Registration

- Minimize fields. Email + password is ideal. Email-only or SSO is even better. - Defer everything else to onboarding (company name, role, team size). - Show password requirements before the user types, not after they fail. - Social login (Google, GitHub) should be visually prominent if your audience uses them. - Post-signup, go DIRECTLY to value — not a "check your email" dead end.

**Tell AI:** ``` Simplify our signup flow: - Reduce to email + password (or email-only with magic link) - Add Google Sign-In as the most prominent option - After signup, redirect directly to onboarding (not "check your email") - Defer all profile questions (name, company, role) to later ```

---

## Pricing Page Optimization

- Always include a recommended/highlighted tier. - Show annual pricing by default with monthly as a toggle. - Use price anchoring: show the most expensive plan first or feature the mid-tier. - "Free forever" converts better than "free trial" for hesitators. - Add FAQ section: "Can I cancel anytime?", "What happens to my data?", "Is there a setup fee?"

**Tell AI:** ``` Optimize our pricing page: - Highlight the recommended tier with a visual badge ("Most Popular") - Default to annual pricing (show monthly as toggle) - Add a comparison table showing features by tier - Add FAQ section below pricing addressing common objections - Add social proof near the CTA: "[X] teams already use [Product]" ```

---

## Trial-to-Paid Conversion

- **Reverse trial:** Give full access, then downgrade — users feel loss aversion. - Show usage vs. plan limits: "You've used 847 of 1,000 API calls this month." - Trigger upgrade prompts at the moment of value, not on a timer. - Frame limits as growth: "Your team is growing! Upgrade to add unlimited members."

**Tell AI:** ``` Improve trial-to-paid conversion: - Show usage meters on the dashboard: "X of Y [resource] used" - When user hits 80% of a limit, show a gentle prompt: "You're growing! Upgrade for unlimited [resource]" - 3 days before trial ends, show banner: "Your trial ends [date]. Keep everything by upgrading." - After trial ends, downgrade features but keep their data intact ```

---

## Form Optimization

- Multi-step forms convert 20-40% better than single long forms. - Show progress: "Step 2 of 3" - Start with easy/engaging questions (not name/email). - Use smart defaults: pre-select the most common option. - Inline validation on blur. Show checkmarks for completed fields.

**Tell AI:** ``` Convert our [signup/onboarding] form to multi-step: - Step 1: The easiest, most engaging question - Step 2: The information we need to deliver value - Step 3: Account details (email, password) - Add progress indicator ("Step 2 of 3") - Validate inline on blur with green checkmarks - Use appropriate input types (email, tel, number) for mobile keyboards ```

---

## Behavioral Triggers

| Trigger | How to Use It | |---------|--------------| | **Loss aversion** | "Your free trial ends in 3 days" > "Upgrade now" | | **Social proof** | "4,200 teams signed up this month" | | **Anchoring** | Show the "before" (manual, slow) vs. "after" (with your product) | | **Commitment/consistency** | Small yes → big yes. Free tool → signup → paid. | | **Scarcity (use honestly)** | "3 spots left in this cohort" (only if true) |

**Tell AI:** ``` Add social proof and behavioral triggers to our [signup/pricing/landing] page: - Add a live counter or recent activity: "[X] teams signed up this month" - Add testimonial quotes near the CTA - Add trust badges near payment forms (SSL, money-back guarantee) - Frame the CTA as low-commitment: "Start free — no credit card required" ```

---

## A/B Testing (Simple Version)

You don't need complex testing infrastructure. Here's the bootstrapped founder approach:

### When to A/B Test

- You have at least 100 users/week going through the flow - You have a specific hypothesis, not just "let's try something different" - The change is significant enough to matter (button color doesn't matter; headline copy does)

### How to Run a Test

**Tell AI:** ``` Set up a simple A/B test: - Create a feature flag that splits users 50/50 - Variant A: [current version] - Variant B: [proposed change] - Track [conversion event] for both variants - Run until we have 100+ users per variant (or 2 weeks, whichever is longer) - Show me the conversion rate for each variant ```

### Reading Results

- **>20% difference:** Likely real. Ship the winner. - **5-20% difference:** Might be real. Run longer or test with more users. - **<5% difference:** Probably noise. Either change doesn't matter or your test needs more volume.

**Rule:** Don't peek at results daily and stop early. Set a duration and stick to it.

---

## What to Measure

| Metric | What It Tells You | |--------|------------------| | Signup rate (visitor → account) | Is your landing page compelling? | | Activation rate (account → key action) | Is your onboarding working? | | Trial-to-paid conversion | Is your product delivering enough value? | | Time to value | How fast do users reach "aha"? | | Expansion revenue triggers | What behavior precedes upgrades? |

---

## Common Mistakes

| Mistake | Fix | |---------|-----| | Optimizing low-traffic pages | Focus on your highest-traffic funnel step | | A/B testing button colors | Test headlines, CTAs, and page structure instead | | Adding more fields "for data" | Every field costs conversions. Defer to later. | | Ignoring mobile | 50%+ of traffic is mobile. Test there first. | | Complex testing tools at small scale | Feature flags are enough until 1,000+ users/week |

---

## Related Skills

- **growth** — PLG strategy, activation, and viral loops - **landing-page** — Build and optimize the pages driving conversions - **pricing** — Pricing page optimization and tier design - **analytics** — Track funnel metrics and measure experiments - **copywriting** — Write CTAs and headlines that convert

--- name: conversion description: "Use this skill when the user needs to improve conversion rates, reduce funnel drop-off, optimize signup flows, or increase trial-to-paid conversion. Covers funnel analysis, friction reduction, behavioral psychology, social proof, and A/B testing strategies." ---

# Conversion Rate Optimization

Every page has one job. If you can't name it, the page is broken. This skill helps you find where users drop off and fix it.

## Core Principles

- Friction is the enemy. Every field, click, and decision point costs conversions. - Don't guess — measure. But don't measure everything — measure what drives revenue. - Social proof is the most underused conversion lever in SaaS. - Speed is a feature. Every 100ms of load time costs ~1% conversion. - The best optimization is often removal, not addition.

---

## Finding Your Biggest Bottleneck

Before optimizing, find where users actually drop off.

### Step 1: Map Your Funnel

``` Typical SaaS funnel: Landing page visit → Signup page viewed → Account created → Onboarding started → Key action completed → Returned next week → Upgrade page viewed → Subscription created ```

### Step 2: Measure Drop-Off

**Tell AI:** ``` Analyze our conversion funnel: - Pull the number of users at each step: [list your funnel steps] - Calculate the drop-off % between each step - Identify the step with the biggest drop-off — that's our priority - Show results in a table: Step | Users | Drop-off % ```

**If you don't have analytics yet:** Set them up first (see analytics-instrumentation skill). In the meantime, track manually: count signups, count activations, count paying customers. Even rough numbers reveal the biggest leak.

### Step 3: Diagnose Why

For the biggest drop-off, evaluate the page/flow using this framework:

1. **CLARITY:** Does the user know what to do and why? 2. **MOTIVATION:** Is the value of completing this step obvious? 3. **FRICTION:** What's making this harder than it needs to be? 4. **ANXIETY:** What fears or objections might stall the user? 5. **DISTRACTION:** What elements compete with the primary action?

---

## Signup & Registration

- Minimize fields. Email + password is ideal. Email-only or SSO is even better. - Defer everything else to onboarding (company name, role, team size). - Show password requirements before the user types, not after they fail. - Social login (Google, GitHub) should be visually prominent if your audience uses them. - Post-signup, go DIRECTLY to value — not a "check your email" dead end.

**Tell AI:** ``` Simplify our signup flow: - Reduce to email + password (or email-only with magic link) - Add Google Sign-In as the most prominent option - After signup, redirect directly to onboarding (not "check your email") - Defer all profile questions (name, company, role) to later ```

---

## Pricing Page Optimization

- Always include a recommended/highlighted tier. - Show annual pricing by default with monthly as a toggle. - Use price anchoring: show the most expensive plan first or feature the mid-tier. - "Free forever" converts better than "free trial" for hesitators. - Add FAQ section: "Can I cancel anytime?", "What happens to my data?", "Is there a setup fee?"

**Tell AI:** ``` Optimize our pricing page: - Highlight the recommended tier with a visual badge ("Most Popular") - Default to annual pricing (show monthly as toggle) - Add a comparison table showing features by tier - Add FAQ section below pricing addressing common objections - Add social proof near the CTA: "[X] teams already use [Product]" ```

---

## Trial-to-Paid Conversion

- **Reverse trial:** Give full access, then downgrade — users feel loss aversion. - Show usage vs. plan limits: "You've used 847 of 1,000 API calls this month." - Trigger upgrade prompts at the moment of value, not on a timer. - Frame limits as growth: "Your team is growing! Upgrade to add unlimited members."

**Tell AI:** ``` Improve trial-to-paid conversion: - Show usage meters on the dashboard: "X of Y [resource] used" - When user hits 80% of a limit, show a gentle prompt: "You're growing! Upgrade for unlimited [resource]" - 3 days before trial ends, show banner: "Your trial ends [date]. Keep everything by upgrading." - After trial ends, downgrade features but keep their data intact ```

---

## Form Optimization

- Multi-step forms convert 20-40% better than single long forms. - Show progress: "Step 2 of 3" - Start with easy/engaging questions (not name/email). - Use smart defaults: pre-select the most common option. - Inline validation on blur. Show checkmarks for completed fields.

**Tell AI:** ``` Convert our [signup/onboarding] form to multi-step: - Step 1: The easiest, most engaging question - Step 2: The information we need to deliver value - Step 3: Account details (email, password) - Add progress indicator ("Step 2 of 3") - Validate inline on blur with green checkmarks - Use appropriate input types (email, tel, number) for mobile keyboards ```

---

## Behavioral Triggers

| Trigger | How to Use It | |---------|--------------| | **Loss aversion** | "Your free trial ends in 3 days" > "Upgrade now" | | **Social proof** | "4,200 teams signed up this month" | | **Anchoring** | Show the "before" (manual, slow) vs. "after" (with your product) | | **Commitment/consistency** | Small yes → big yes. Free tool → signup → paid. | | **Scarcity (use honestly)** | "3 spots left in this cohort" (only if true) |

**Tell AI:** ``` Add social proof and behavioral triggers to our [signup/pricing/landing] page: - Add a live counter or recent activity: "[X] teams signed up this month" - Add testimonial quotes near the CTA - Add trust badges near payment forms (SSL, money-back guarantee) - Frame the CTA as low-commitment: "Start free — no credit card required" ```

---

## A/B Testing (Simple Version)

You don't need complex testing infrastructure. Here's the bootstrapped founder approach:

### When to A/B Test

- You have at least 100 users/week going through the flow - You have a specific hypothesis, not just "let's try something different" - The change is significant enough to matter (button color doesn't matter; headline copy does)

### How to Run a Test

**Tell AI:** ``` Set up a simple A/B test: - Create a feature flag that splits users 50/50 - Variant A: [current version] - Variant B: [proposed change] - Track [conversion event] for both variants - Run until we have 100+ users per variant (or 2 weeks, whichever is longer) - Show me the conversion rate for each variant ```

### Reading Results

- **>20% difference:** Likely real. Ship the winner. - **5-20% difference:** Might be real. Run longer or test with more users. - **<5% difference:** Probably noise. Either change doesn't matter or your test needs more volume.

**Rule:** Don't peek at results daily and stop early. Set a duration and stick to it.

---

## What to Measure

| Metric | What It Tells You | |--------|------------------| | Signup rate (visitor → account) | Is your landing page compelling? | | Activation rate (account → key action) | Is your onboarding working? | | Trial-to-paid conversion | Is your product delivering enough value? | | Time to value | How fast do users reach "aha"? | | Expansion revenue triggers | What behavior precedes upgrades? |

---

## Common Mistakes

| Mistake | Fix | |---------|-----| | Optimizing low-traffic pages | Focus on your highest-traffic funnel step | | A/B testing button colors | Test headlines, CTAs, and page structure instead | | Adding more fields "for data" | Every field costs conversions. Defer to later. | | Ignoring mobile | 50%+ of traffic is mobile. Test there first. | | Complex testing tools at small scale | Feature flags are enough until 1,000+ users/week |

---

## Related Skills

- **growth** — PLG strategy, activation, and viral loops - **landing-page** — Build and optimize the pages driving conversions - **pricing** — Pricing page optimization and tier design - **analytics** — Track funnel metrics and measure experiments - **copywriting** — Write CTAs and headlines that convert

--- name: conversion description: "Use this skill when the user needs to improve conversion rates, reduce funnel drop-off, optimize signup flows, or increase trial-to-paid conversion. Covers funnel analysis, friction reduction, behavioral psychology, social proof, and A/B testing strategies." ---

# Conversion Rate Optimization

Every page has one job. If you can't name it, the page is broken. This skill helps you find where users drop off and fix it.

## Core Principles

- Friction is the enemy. Every field, click, and decision point costs conversions. - Don't guess — measure. But don't measure everything — measure what drives revenue. - Social proof is the most underused conversion lever in SaaS. - Speed is a feature. Every 100ms of load time costs ~1% conversion. - The best optimization is often removal, not addition.

---

## Finding Your Biggest Bottleneck

Before optimizing, find where users actually drop off.

### Step 1: Map Your Funnel

``` Typical SaaS funnel: Landing page visit → Signup page viewed → Account created → Onboarding started → Key action completed → Returned next week → Upgrade page viewed → Subscription created ```

### Step 2: Measure Drop-Off

**Tell AI:** ``` Analyze our conversion funnel: - Pull the number of users at each step: [list your funnel steps] - Calculate the drop-off % between each step - Identify the step with the biggest drop-off — that's our priority - Show results in a table: Step | Users | Drop-off % ```

**If you don't have analytics yet:** Set them up first (see analytics-instrumentation skill). In the meantime, track manually: count signups, count activations, count paying customers. Even rough numbers reveal the biggest leak.

### Step 3: Diagnose Why

For the biggest drop-off, evaluate the page/flow using this framework:

1. **CLARITY:** Does the user know what to do and why? 2. **MOTIVATION:** Is the value of completing this step obvious? 3. **FRICTION:** What's making this harder than it needs to be? 4. **ANXIETY:** What fears or objections might stall the user? 5. **DISTRACTION:** What elements compete with the primary action?

---

## Signup & Registration

- Minimize fields. Email + password is ideal. Email-only or SSO is even better. - Defer everything else to onboarding (company name, role, team size). - Show password requirements before the user types, not after they fail. - Social login (Google, GitHub) should be visually prominent if your audience uses them. - Post-signup, go DIRECTLY to value — not a "check your email" dead end.

**Tell AI:** ``` Simplify our signup flow: - Reduce to email + password (or email-only with magic link) - Add Google Sign-In as the most prominent option - After signup, redirect directly to onboarding (not "check your email") - Defer all profile questions (name, company, role) to later ```

---

## Pricing Page Optimization

- Always include a recommended/highlighted tier. - Show annual pricing by default with monthly as a toggle. - Use price anchoring: show the most expensive plan first or feature the mid-tier. - "Free forever" converts better than "free trial" for hesitators. - Add FAQ section: "Can I cancel anytime?", "What happens to my data?", "Is there a setup fee?"

**Tell AI:** ``` Optimize our pricing page: - Highlight the recommended tier with a visual badge ("Most Popular") - Default to annual pricing (show monthly as toggle) - Add a comparison table showing features by tier - Add FAQ section below pricing addressing common objections - Add social proof near the CTA: "[X] teams already use [Product]" ```

---

## Trial-to-Paid Conversion

- **Reverse trial:** Give full access, then downgrade — users feel loss aversion. - Show usage vs. plan limits: "You've used 847 of 1,000 API calls this month." - Trigger upgrade prompts at the moment of value, not on a timer. - Frame limits as growth: "Your team is growing! Upgrade to add unlimited members."

**Tell AI:** ``` Improve trial-to-paid conversion: - Show usage meters on the dashboard: "X of Y [resource] used" - When user hits 80% of a limit, show a gentle prompt: "You're growing! Upgrade for unlimited [resource]" - 3 days before trial ends, show banner: "Your trial ends [date]. Keep everything by upgrading." - After trial ends, downgrade features but keep their data intact ```

---

## Form Optimization

- Multi-step forms convert 20-40% better than single long forms. - Show progress: "Step 2 of 3" - Start with easy/engaging questions (not name/email). - Use smart defaults: pre-select the most common option. - Inline validation on blur. Show checkmarks for completed fields.

**Tell AI:** ``` Convert our [signup/onboarding] form to multi-step: - Step 1: The easiest, most engaging question - Step 2: The information we need to deliver value - Step 3: Account details (email, password) - Add progress indicator ("Step 2 of 3") - Validate inline on blur with green checkmarks - Use appropriate input types (email, tel, number) for mobile keyboards ```

---

## Behavioral Triggers

| Trigger | How to Use It | |---------|--------------| | **Loss aversion** | "Your free trial ends in 3 days" > "Upgrade now" | | **Social proof** | "4,200 teams signed up this month" | | **Anchoring** | Show the "before" (manual, slow) vs. "after" (with your product) | | **Commitment/consistency** | Small yes → big yes. Free tool → signup → paid. | | **Scarcity (use honestly)** | "3 spots left in this cohort" (only if true) |

**Tell AI:** ``` Add social proof and behavioral triggers to our [signup/pricing/landing] page: - Add a live counter or recent activity: "[X] teams signed up this month" - Add testimonial quotes near the CTA - Add trust badges near payment forms (SSL, money-back guarantee) - Frame the CTA as low-commitment: "Start free — no credit card required" ```

---

## A/B Testing (Simple Version)

You don't need complex testing infrastructure. Here's the bootstrapped founder approach:

### When to A/B Test

- You have at least 100 users/week going through the flow - You have a specific hypothesis, not just "let's try something different" - The change is significant enough to matter (button color doesn't matter; headline copy does)

### How to Run a Test

**Tell AI:** ``` Set up a simple A/B test: - Create a feature flag that splits users 50/50 - Variant A: [current version] - Variant B: [proposed change] - Track [conversion event] for both variants - Run until we have 100+ users per variant (or 2 weeks, whichever is longer) - Show me the conversion rate for each variant ```

### Reading Results

- **>20% difference:** Likely real. Ship the winner. - **5-20% difference:** Might be real. Run longer or test with more users. - **<5% difference:** Probably noise. Either change doesn't matter or your test needs more volume.

**Rule:** Don't peek at results daily and stop early. Set a duration and stick to it.

---

## What to Measure

| Metric | What It Tells You | |--------|------------------| | Signup rate (visitor → account) | Is your landing page compelling? | | Activation rate (account → key action) | Is your onboarding working? | | Trial-to-paid conversion | Is your product delivering enough value? | | Time to value | How fast do users reach "aha"? | | Expansion revenue triggers | What behavior precedes upgrades? |

---

## Common Mistakes

| Mistake | Fix | |---------|-----| | Optimizing low-traffic pages | Focus on your highest-traffic funnel step | | A/B testing button colors | Test headlines, CTAs, and page structure instead | | Adding more fields "for data" | Every field costs conversions. Defer to later. | | Ignoring mobile | 50%+ of traffic is mobile. Test there first. | | Complex testing tools at small scale | Feature flags are enough until 1,000+ users/week |

---

## Related Skills

- **growth** — PLG strategy, activation, and viral loops - **landing-page** — Build and optimize the pages driving conversions - **pricing** — Pricing page optimization and tier design - **analytics** — Track funnel metrics and measure experiments - **copywriting** — Write CTAs and headlines that convert