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ph-conversion-trackingph 值转换跟踪

Agent Skill

ph-conversion-tracking 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

490

周安装

20

GitHub Stars

10

下载量

158
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ph-conversion-tracking(ph 值转换跟踪)
来源仓库:https://github.com/yoanbernabeu/producthunt-skills
仓库路径:skills/ph-conversion-tracking
安装命令:
npx skills add https://github.com/yoanbernabeu/producthunt-skills --skill ph-conversion-tracking
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/yoanbernabeu/producthunt-skills --skill ph-conversion-tracking

简介

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合围绕仓库状态、代码变更或协作事项进行整理。
  • 可结合来源仓库、安装命令和原始 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态及是否触发联网或文件读写。
  • 确保操作不越权且不干扰正常协作流程。ph-conversion-tracking 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

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

StageTypical RateWhat It Measures
View → Click15-30%Listing appeal
Click → Visit70-90%Page load, relevance
Visit → Signup5-15%Landing page effectiveness
Signup → Activation30-60%Onboarding quality
Activation → Paid10-30%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=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:

HourPH VisitorsSignupsConv RateRevenue
00:004536.7%$0
01:008977.9%$99
02:006757.5%$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:

  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 × 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:

ChannelCACQuality
Product Hunt$317High
Google Ads$150Medium
Content Marketing$200High
Cold Outreach$500Low

Cohort Analysis

PH Users vs Other Sources

Track these metrics by acquisition source:

MetricPH UsersOrganicPaid Ads
Activation Rate45%38%28%
Day 7 Retention35%32%22%
Day 30 Retention25%24%15%
Upgrade Rate18%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:

MetricLowAverageHigh
Visit → Trial3%8%15%
Trial → Paid10%18%30%
Launch Revenue$500$3,000$15,000+

Consumer Apps from PH:

MetricLowAverageHigh
Visit → Signup5%15%30%
Signup → Active20%40%60%
Launch Downloads2001,0005,000+

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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