Goal: Identify profitable yet undervalued channels to optimize budget allocation decisions.
Prompt: Using last-click and data-driven attribution models, compare the top channels driving conversions and revenue. Highlight any attribution discrepancies that might affect budget allocation decisions for scaling

Goal: Identify user journey drop-offs and conversion bottlenecks for data-driven optimization decisions in GA4 analytics.
Prompt: Analyze visitor behavior on your site <Your Property ID>  in GA4 to understand where visitors are entering, what pages they’re interacting with, and how they’re progressing through the funnel. Track engagement metrics such as page views, time spent on page, and scroll depth for key pages (e.g., landing pages, product pages). Use Funnel Exploration to identify where users are dropping off during the checkout process. Analyze the exit rates on the cart and checkout pages to identify friction points and recommend possible improvements

Goal: Transform GA4 demographic segmentation analysis into actionable insights for targeted marketing optimization and revenue growth.
Prompt: In GA4 <Your Property ID> analyze your audience data to determine which demographic segments are performing well. Segment users by gender, geographic location, and age to evaluate performance across these dimensions. Look for trends in conversion rate and average order value (AOV) for each segment, and identify any underperforming groups. Leverage the Audience Builder to create audiences based on specific behaviors (e.g., users who have viewed high-value products but haven’t converted) and assess their performance. Look for untapped opportunities, especially in terms of underperforming geos or demographic groups, and identify new segments for offsite targeting through paid or remarketing campaigns

Goal: To identify checkout abandonment patterns, optimize conversion rates, and increase revenue through funnel improvements.
Prompt: Using GA4’s Funnel Exploration for <Your Property ID>

Goal: Monitor recent traffic performance across sources and devices to identify engagement issues and optimize for immediate action.
Prompt: Generate a traffic overview report for <Your Property ID>

Goal: To identify when to scale marketing spend, plan inventory, and time promotions for maximum revenue
Prompt: Analyze seasonality patterns in traffic and revenue for <Your Property ID>  for the past 2 years to identify upcoming high-opportunity windows for scaling spend, improving inventory planning, and aligning promotional calendars

Goal: To identify underperforming channels and guide strategic budget reallocation decisions.
Prompt: Analyze traffic sources in GA4 for <Your Property ID>