google-ads-postclick-analyst

Name: google-ads-postclick-analyst
Availability: InStock
Author: kayasinan

Analyzes Google Ads GA4 click behavior to score landing pages and map conversion funnels.

1|Updated Feb 15, 2026

Search Tags:#landing page #performance analysis #user behavior #google ads #ga4 #conversion funnel

Ready to run

npx skills add https://github.com/kayasinan/meta-ad-manager --skill google-ads-postclick-analyst

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: google-ads-postclick-analyst
Source: https://github.com/kayasinan/meta-ad-manager/tree/main/google-ads-postclick-analyst
Command: npx skills add https://github.com/kayasinan/meta-ad-manager --skill google-ads-postclick-analyst

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill optimizes Google Ads performance by analyzing user behavior after they click an ad, ensuring landing pages are effective and identifying conversion bottlenecks.

Core Features & Use Cases

Landing Page Scoring: Evaluates landing pages based on bounce rate, conversion rate, session duration, and mobile experience.
Funnel Analysis: Maps conversion drop-off points and quantifies the revenue impact of leaks.
Session Path Analysis: Identifies common user journeys for converters and non-converters.
Use Case: Automatically identify which landing pages are underperforming for Google Ads traffic, flag pages with poor mobile experiences, and pinpoint the exact step in the conversion funnel where most users are lost.

Quick Start

Analyze the post-click behavior for all Google Ads traffic for the current brand.

Frequently Asked Questions about google-ads-postclick-analyst

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I analyze Google Ads post-click user behavior in GA4?▼

Analyzing Google Ads post-click behavior in GA4 involves evaluating landing pages by scoring bounce rates, session duration, conversion rates, and mobile experience to identify performance bottlenecks. You need GA4 session and event data filtered for Google Ads traffic.

Why does my Google Ads traffic have high bounce rates on landing pages?▼

High bounce rates for Google Ads traffic indicate landing pages are underperforming. This analysis scores pages based on session duration, conversion rates, and mobile experience to flag specific issues causing visitors to leave without converting.

How do I map a conversion funnel to find drop-off points for Google Ads traffic?▼

Mapping a conversion funnel for Google Ads traffic identifies exact drop-off points and quantifies the revenue impact of leaks. It analyzes session paths to distinguish common user journeys between converters and non-converters.

What data do I need to map conversion funnels for Google Ads traffic in GA4?▼

To map conversion funnels for Google Ads traffic in GA4, you need GA4 session and event data specifically filtered for Google Ads sources using utm_source=google and utm_medium=cpc, display, or video.

Can I identify which Google Ads landing pages have poor mobile experiences?▼

Yes, you can identify which Google Ads landing pages have poor mobile experiences. The analysis evaluates mobile experience alongside bounce rates and conversion rates to score page performance and flag pages requiring mobile optimization.

What is the best way to find conversion bottlenecks for Google Ads campaigns?▼

The best way to find conversion bottlenecks for Google Ads campaigns is analyzing post-click GA4 behavior to score landing pages, map conversion funnels, and pinpoint exact steps where users drop off before converting.