
Ph Conversion Tracking
- 35 installs
- 15 repo stars
- Updated January 30, 2026
- yoanbernabeu/producthunt-skills
Helps with ai & agent building tasks during AI-assisted development.
About
ph-conversion-tracking is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.
- ph-conversion-tracking
- AI & Agent Building
- AI-coding skill
Ph Conversion Tracking by the numbers
- 35 all-time installs (skills.sh)
- +2 installs in the week ending Jul 28, 2026 (Skillselion tracking)
- Ranked #8,740 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Jul 28, 2026 (Skillselion catalog sync)
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| Installs | 35 |
|---|---|
| repo stars | ★ 15 |
| Last updated | January 30, 2026 |
| Repository | yoanbernabeu/producthunt-skills ↗ |
What it does
Helps with ai & agent building tasks during AI-assisted development.
Files
Product Hunt Conversion Tracking
This skill helps you measure the real business impact of your Product Hunt launch through conversion tracking and ROI analysis.
When to Use This Skill
- Setting up conversion measurement
- Tracking launch day conversions
- Analyzing funnel performance
- Calculating launch ROI
- Comparing to other acquisition channels
The Conversion Funnel
Standard PH Conversion Path
PRODUCT HUNT
│
├─── Impressions (people who see your listing)
│ │
│ ▼ [View Rate]
├─── Page Views (people who click)
│ │
│ ▼ [Click-through Rate]
├─── Website Visitors
│ │
│ ▼ [Engagement Rate]
├─── Engaged Visitors (>30s, 2+ pages)
│ │
│ ▼ [Signup Rate]
├─── Signups / Trials
│ │
│ ▼ [Activation Rate]
├─── Activated Users (reached value)
│ │
│ ▼ [Conversion Rate]
└─── Paying CustomersKey Conversion Points
| Stage | Typical Rate | What It Measures |
|---|---|---|
| View → Click | 15-30% | Listing appeal |
| Click → Visit | 70-90% | Page load, relevance |
| Visit → Signup | 5-15% | Landing page effectiveness |
| Signup → Activation | 30-60% | Onboarding quality |
| Activation → Paid | 10-30% | Product-market fit |
Setting Up Conversion Tracking
1. Define Your Conversions
Primary Conversion (Pick One):
- Signup completed
- Trial started
- Purchase made
- App installed
Secondary Conversions:
- Email collected
- Demo booked
- Free tier activated
- Feature used
2. Technical Implementation
Google Analytics 4 Events:
// Signup conversion
gtag('event', 'generate_lead', {
'event_category': 'signup',
'event_label': 'producthunt',
'value': 0
});
// Purchase conversion
gtag('event', 'purchase', {
'transaction_id': 'T_12345',
'value': 99.00,
'currency': 'USD',
'items': [{
'item_name': 'Pro Plan',
'price': 99.00
}]
});Server-Side Tracking:
# When signup occurs
def track_signup(user, source):
analytics.track(user.id, 'Signed Up', {
'source': source, # 'producthunt'
'plan': user.plan,
'timestamp': datetime.now()
})3. Attribution Setup
First-Touch Attribution:
- Capture source on first visit
- Store in cookie/database
- Associate with eventual conversion
UTM Tracking:
https://yoursite.com?utm_source=producthunt&utm_medium=launch&utm_campaign=jan2024Referrer Tracking:
// Capture referrer on page load
if (document.referrer.includes('producthunt.com')) {
localStorage.setItem('acquisition_source', 'producthunt');
}Measuring Conversions
Real-Time Tracking (Launch Day)
Hourly Log Template:
| Hour | PH Visitors | Signups | Conv Rate | Revenue |
|---|---|---|---|---|
| 00:00 | 45 | 3 | 6.7% | $0 |
| 01:00 | 89 | 7 | 7.9% | $99 |
| 02:00 | 67 | 5 | 7.5% | $0 |
| ... | ||||
| Total |
Conversion Rate Calculations
Visitor to Signup Rate:
Signup Rate = (Signups / PH Visitors) × 100
Example: 156 signups / 1,234 visitors = 12.6%Trial to Paid Rate:
Conversion Rate = (Paid / Trials) × 100
Example: 23 paid / 156 trials = 14.7%Revenue per Visitor:
RPV = Total Revenue / Total Visitors
Example: $2,277 / 1,234 = $1.85 per visitorFunnel Analysis
Identifying Drop-Offs
Funnel Visualization:
PH Page Views: 2,500 (100%)
│
▼ 49% continue
Website Visits: 1,234 (49%)
│
▼ 38% continue
Engaged (>30s): 469 (19%)
│
▼ 33% continue
Signup Started: 156 (6.2%)
│
▼ 90% complete
Signup Done: 140 (5.6%)
│
▼ 16% convert
Paid: 23 (0.9%)Drop-Off Analysis:
- PH → Site: 51% drop → Is listing compelling?
- Site → Engaged: 62% drop → Is landing page relevant?
- Engaged → Signup: 67% drop → Is CTA clear?
- Signup → Complete: 10% drop → Is form too long?
- Complete → Paid: 84% drop → Is value delivered?
Optimization Opportunities
For each drop-off point:
1. High Drop-Off? → Investigate why 2. Identify Pattern → What's different about converters? 3. Hypothesis → What change might help? 4. Test → A/B test the change 5. Measure → Did conversion improve?
ROI Calculation
Basic ROI Formula
Launch ROI = (Revenue Generated - Costs) / Costs × 100Comprehensive ROI Analysis
Revenue Side:
Immediate Revenue:
- Direct purchases: $2,277
Projected Revenue (LTV-based):
- 23 customers × $480 LTV = $11,040
Total Value: $13,317Cost Side:
Time Investment:
- Preparation: 40 hours × $100/hr = $4,000
- Launch day: 16 hours × $100/hr = $1,600
- Follow-up: 8 hours × $100/hr = $800
Direct Costs:
- Design assets: $500
- Tools/subscriptions: $100
- Promotional offer cost: $300
Total Costs: $7,300ROI Calculation:
ROI = ($13,317 - $7,300) / $7,300 × 100 = 82.4%Customer Acquisition Cost
CAC from PH = Total Launch Costs / Customers Acquired
= $7,300 / 23
= $317.39 per customerCompare to Other Channels:
| Channel | CAC | Quality |
|---|---|---|
| Product Hunt | $317 | High |
| Google Ads | $150 | Medium |
| Content Marketing | $200 | High |
| Cold Outreach | $500 | Low |
Cohort Analysis
PH Users vs Other Sources
Track these metrics by acquisition source:
| Metric | PH Users | Organic | Paid Ads |
|---|---|---|---|
| Activation Rate | 45% | 38% | 28% |
| Day 7 Retention | 35% | 32% | 22% |
| Day 30 Retention | 25% | 24% | 15% |
| Upgrade Rate | 18% | 12% | 8% |
| Avg LTV | $520 | $380 | $240 |
What This Tells You
- PH users often higher quality
- Worth the launch investment?
- Should you launch again?
Benchmarks & Goals
Industry Benchmarks
B2B SaaS from PH:
| Metric | Low | Average | High |
|---|---|---|---|
| Visit → Trial | 3% | 8% | 15% |
| Trial → Paid | 10% | 18% | 30% |
| Launch Revenue | $500 | $3,000 | $15,000+ |
Consumer Apps from PH:
| Metric | Low | Average | High |
|---|---|---|---|
| Visit → Signup | 5% | 15% | 30% |
| Signup → Active | 20% | 40% | 60% |
| Launch Downloads | 200 | 1,000 | 5,000+ |
Setting Your Goals
PRE-LAUNCH CONVERSION GOALS
Visitors (from PH): [Target]
↓ [Target]% conversion
Signups: [Target]
↓ [Target]% conversion
Trials: [Target]
↓ [Target]% conversion
Paid: [Target]
↓ $[Avg Price]
Revenue: $[Target]Post-Launch Conversion Analysis
Analysis Template
CONVERSION ANALYSIS: [Product Name]
Launch Date: [Date]
FUNNEL SUMMARY:
PH Views → Site: [X] ([Y]%)
Site → Signup: [X] ([Y]%)
Signup → Paid: [X] ([Y]%)
KEY METRICS:
Total PH Visitors: [X]
Total Signups: [X]
Signup Rate: [X]%
Total Paid: [X]
Conversion Rate: [X]%
REVENUE:
Immediate: $[X]
Projected LTV: $[X]
Total Value: $[X]
COSTS:
Time: $[X]
Direct: $[X]
Total: $[X]
ROI: [X]%
CAC: $[X]
COMPARED TO GOALS:
Visitors: [Actual] vs [Goal] ([Over/Under])
Signups: [Actual] vs [Goal] ([Over/Under])
Revenue: [Actual] vs [Goal] ([Over/Under])
INSIGHTS:
- [Key learning 1]
- [Key learning 2]
- [Key learning 3]
OPTIMIZATION PRIORITIES:
1. [Biggest drop-off to fix]
2. [Second priority]
3. [Third priority]Conversion Tracking Checklist
Setup Phase
- [ ] Primary conversion defined
- [ ] Tracking code implemented
- [ ] Attribution model set
- [ ] Goals configured in analytics
- [ ] Test conversions verified
Launch Day
- [ ] Real-time tracking active
- [ ] Hourly logging in progress
- [ ] Conversion alerts working
- [ ] No tracking issues
Post-Launch
- [ ] All conversions captured
- [ ] Funnel analyzed
- [ ] ROI calculated
- [ ] Cohort analysis done
- [ ] Learnings documented
Output Format
CONVERSION REPORT: [Product Name]
EXECUTIVE SUMMARY:
Launch Date: [Date]
Total Visitors: [X]
Total Conversions: [X]
Conversion Rate: [X]%
Revenue: $[X]
ROI: [X]%
FUNNEL BREAKDOWN:
[Step 1] → [Step 2]: [X]%
[Step 2] → [Step 3]: [X]%
[Step 3] → [Step 4]: [X]%
BIGGEST DROP-OFF: [Step] ([X]% loss)
RECOMMENDATION: [Action to improve]
COMPARISON TO BENCHMARKS:
[Metric]: [Actual] vs [Benchmark] - [Status]
NEXT STEPS:
1. [Priority action]
2. [Secondary action]
3. [Tertiary action]