// Track and optimize conversions from your Product Hunt launch. Use this skill to measure signup rates, identify drop-offs, and calculate the true ROI of your launch.
| name | ph-conversion-tracking |
| description | Track and optimize conversions from your Product Hunt launch. Use this skill to measure signup rates, identify drop-offs, and calculate the true ROI of your launch. |
This skill helps you measure the real business impact of your Product Hunt launch through conversion tracking and ROI analysis.
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 Customers
| 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 |
Primary Conversion (Pick One):
Secondary Conversions:
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()
})
First-Touch Attribution:
UTM Tracking:
https://yoursite.com?utm_source=producthunt&utm_medium=launch&utm_campaign=jan2024
Referrer Tracking:
// Capture referrer on page load
if (document.referrer.includes('producthunt.com')) {
localStorage.setItem('acquisition_source', 'producthunt');
}
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 |
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 visitor
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:
For each drop-off point:
Launch ROI = (Revenue Generated - Costs) / Costs × 100
Revenue Side:
Immediate Revenue:
- Direct purchases: $2,277
Projected Revenue (LTV-based):
- 23 customers × $480 LTV = $11,040
Total Value: $13,317
Cost 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: $7,300
ROI Calculation:
ROI = ($13,317 - $7,300) / $7,300 × 100 = 82.4%
CAC from PH = Total Launch Costs / Customers Acquired
= $7,300 / 23
= $317.39 per customer
Compare to Other Channels:
| Channel | CAC | Quality |
|---|---|---|
| Product Hunt | $317 | High |
| Google Ads | $150 | Medium |
| Content Marketing | $200 | High |
| Cold Outreach | $500 | Low |
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 |
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+ |
PRE-LAUNCH CONVERSION GOALS
Visitors (from PH): [Target]
↓ [Target]% conversion
Signups: [Target]
↓ [Target]% conversion
Trials: [Target]
↓ [Target]% conversion
Paid: [Target]
↓ $[Avg Price]
Revenue: $[Target]
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 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]
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