ph-conversion-tracking

Product Hunt Conversion Tracking

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Install skill "ph-conversion-tracking" with this command: npx skills add yoanbernabeu/producthunt-skills/yoanbernabeu-producthunt-skills-ph-conversion-tracking

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 Customers

Key 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

  1. 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() })

  1. 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=jan2024

Referrer 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 visitor

Funnel 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:

  • High Drop-Off? → Investigate why

  • Identify Pattern → What's different about converters?

  • Hypothesis → What change might help?

  • Test → A/B test the change

  • Measure → Did conversion improve?

ROI Calculation

Basic ROI Formula

Launch ROI = (Revenue Generated - Costs) / Costs × 100

Comprehensive ROI Analysis

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%

Customer Acquisition Cost

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

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]

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