Turn Google Analytics Data into Actionable Insights

A workflow for B2B marketers to uncover trends, boost engagement, and improve conversion performance

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Google Analytics Insight & Optimization Workflow

Created by prompts.tinytechguides.com

What this Workflow Does

This workflow helps B2B marketers and web teams turn Google Analytics data into real insights. It identifies top-performing pages, traffic sources, and user behavior trends — then generates actionable recommendations to improve engagement and conversions.

Workflow Steps Summary

• Step 0: Define Inputs

• Step 1: Identify Top-Performing Pages

• Step 2: Analyze User Behavior Metrics

• Step 3: Evaluate Traffic Source Performance

• Step 4: Assess Device Engagement Patterns

• Step 5: Summarize Findings and Recommend Optimizations

Data Collection Instructions (Before Step 0)

Before running the workflow, you’ll need to gather data from GA4. Here’s how:

📅 1. Set Your Date Range

Where: Top-right in GA4
-- Choose your analysis window (e.g., Last 30 days, Custom)

📄 2. Export Page Performance Data

Where: Reports > Engagement > Pages and Screens
What to include:
-- Page title
-- Views
-- Active users
-- Average engagement time
-- Event count
-- Engagement rate (GA4)
How to export:
Click the “Share” icon → Download CSV

🌐 3. Export Traffic Source Data

Where: Reports > Acquisition > Traffic Acquisition
What to include:
-- Default channel group (e.g., Organic Search, Direct, Referral)
-- Sessions
-- Engaged sessions
-- Engagement rate
-- Avg. engagement time per session
How to export:
Use the same “Share” > Download method

✅ 4. Identify Conversion Events

Where: Reports > Engagement > Events or Conversions
What to include:
-- Event names (scroll, click, form_submit, etc.)
-- Event counts
-- Engagement rate
-- Conversion paths if configured
Note: If conversions aren’t set up, use proxies like scroll depth or time-on-page

📱 5. Device Breakdown (Optional)

Where: Explore > Create new exploration → Add “Device category”
What to include:
-- Sessions by device (desktop, mobile, tablet)
-- Engagement rate and time per device

Step 0: Define Inputs

Step 0: Define Inputs  
{analytics_date_range} = Time period analyzed  
{analytics_data} = Exported GA4 data for pages, events, traffic sources, and devices  
{site_type} = Type of website (e.g., B2B blog, SaaS product site)  
{conversion_definition} = What counts as a conversion (e.g., time on page + scroll, form fill, click)  
{business_goal} = Main site goal (e.g., increase signups, improve time on site, reduce bounce)  

Step 1: Identify Top-Performing Pages

#Role  
You are a digital analyst reviewing GA4 data for a {site_type} website.

#Context  
You’re analyzing performance for the period: {analytics_date_range}. The goal is to identify pages that drive the most value based on {conversion_definition}.

#Task  
List the top 5–10 pages with the highest engagement based on views, engagement time, and events. Highlight any patterns (topics, page types, formats).

#Format  
Table or bullet summary with metrics for each page: views, avg engagement time, event count, engagement rate.

#Tone  
Objective, data-focused, concise.

Step 2: Analyze User Behavior Metrics

#Role  
You are a UX and behavior analyst interpreting GA4 engagement data.

#Context  
Your team wants to understand how users interact with content and where drop-offs occur.

#Task  
Analyze bounce rate or engagement rate, time on page, and event count across key pages. Identify which pages are underperforming and why.

#Format  
Short summary by page or page group. Highlight red flags (low time, low engagement, high exits).

#Tone  
Diagnostic, insight-driven, no fluff.

Step 3: Evaluate Traffic Source Performance

#Role  
You are a digital marketing strategist reviewing traffic acquisition insights.

#Context  
You’re evaluating the impact of various sources (organic, direct, social, email, referral) on engagement and conversions.

#Task  
Compare traffic sources by sessions, engagement rate, and conversion rate. Highlight which channels are high-performing and which need optimization.

#Format  
Ranked list or summary by source with performance notes.

#Tone  
Strategic, ROI-focused.

Step 4: Assess Device Engagement Patterns

#Role  
You are a web optimization specialist reviewing GA4 device data.

#Context  
You’re looking to uncover how mobile, desktop, and tablet users engage differently.

#Task  
Identify which device categories drive the most sessions and conversions. Highlight UX issues or opportunities (e.g., low mobile engagement despite traffic).

#Format  
Breakdown by device type: % of sessions, engagement rate, avg session duration.

#Tone  
Practical, mobile-conscious, user-first.

Step 5: Summarize Findings and Recommend Optimizations