ph-analytics-setup_skill

This skill helps you configure Product Hunt analytics, set up dashboards, and track launch metrics to optimize performance.

6

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill yoanbernabeu/producthunt-skills --skill ph-analytics-setup

  • SKILL.md9.3 KB

Overview

This skill sets up analytics tracking optimized for a Product Hunt launch so you can measure ranking, referral traffic, conversions, and revenue. It guides you through configuring tracking tools, creating a launch dashboard, and preparing hourly monitoring and post-launch analysis. The focus is on capturing product-hunt attribution and conversion funnels that drive decisions during and after launch.

How this skill works

I configure site and product analytics (GA4, Plausible, Mixpanel/Amplitude) and map key events from Product Hunt to your systems. I create UTM conventions, implement event tracking for signups/trials/purchases, and build a real-time launch dashboard and hourly logging template. I also provide a manual Product Hunt tracking sheet and post-launch analysis template to convert raw data into learnings.

When to use it

  • One week before launch to prepare tracking and dashboards
  • Launch day for real-time monitoring and hourly logging
  • Immediately after launch for conversion and cohort analysis
  • When comparing Product Hunt traffic vs other acquisition channels
  • When you need to set measurable goals for ranking, upvotes, or revenue

Best practices

  • Install analytics code and verify events at least 48–72 hours before launch
  • Use consistent UTM parameters (utm_source=producthunt, utm_medium=social, utm_campaign=launch_<date>)
  • Track source on every conversion event (signup, trial start, purchase) for accurate attribution
  • Create a single launch dashboard combining PH metrics, site traffic, and conversions for quick decision making
  • Run a test conversion and verify funnels and alerts before go-time

Example use cases

  • Prepare GA4 and Mixpanel events and dashboards one week before a Product Hunt launch
  • Use a Plausible setup when you need privacy-first, real-time referrer metrics without consent banners
  • Monitor hourly upvotes, rank, and signups during launch using the provided spreadsheet template
  • Run post-launch cohort analysis to compare Product Hunt user retention and LTV vs other channels
  • Set launch goals (visitors, signups, revenue) and fill the post-launch analysis template to capture learnings

FAQ

Use GA4 for broad web metrics and conversions, Mixpanel/Amplitude for product funnels and retention, and Plausible if you want a simple privacy-first real-time view. Combine two: GA4 + product analytics for depth.

How do I make sure Product Hunt traffic is tracked correctly?

Add utm_source=producthunt on all PH links, verify referrer filtering, and include source fields on every event (signup/trial/purchase). Test with sample clicks and conversions before launch.

What are the most critical events to track?

Track signup_started, signup_completed, trial_started, and purchase (with value and currency). Also ensure page views include the acquisition source for funnel segmentation.

Built by
VeilStrat
AI signals for GTM teams
© 2026 VeilStrat. All rights reserved.All systems operational
ph-analytics-setup skill by yoanbernabeu/producthunt-skills | VeilStrat