// 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.
Set up analytics tracking for your Product Hunt launch. Use this skill to configure tracking tools, create dashboards, and ensure you capture all important launch metrics.
Strategy for Product Hunt Golden Kitty Awards. Use this skill to understand award categories, prepare nominations, and maximize your chances of winning annual recognition.
Get featured in Product Hunt newsletters. Use this skill to understand newsletter criteria, craft effective pitches, and maximize visibility through PH editorial coverage.
Understand how the Product Hunt ranking algorithm works. Use this skill to optimize your launch strategy based on known algorithm factors and behaviors.
Avoid shadow bans and penalties on Product Hunt. Use this skill to understand platform rules, identify risky behaviors, and ensure your launch practices are fully compliant.
Write Product Hunt compliant messages and requests. Use this skill to craft outreach, social posts, and supporter communications that follow community guidelines and avoid penalties.
| 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]