Learn how to analyze revenue by item name in Google Analytics 4, creating insightful reports to identify product performance and optimize your inventory effectively.
Understanding Revenue by Item Name in Google Analytics 4
Analyzing revenue by item name is crucial for understanding which products are driving your business’s success. This analysis helps identify top-performing products, underperforming items, and opportunities for inventory optimization. We’ll show you how to create this essential report in Google Analytics 4
to make data-driven decisions about your product portfolio.
Basic Report Structure
- Report Type: Free Form Exploration
- Primary Dimension: Item name
- Metrics: Revenue, Items sold, Average price
- Visualization: Table format with optional bar chart
- Time Range: Customizable (recommended: 30-90 days)
Steps to Create the Report
- Open
GA4
and navigate to the Explore section. - Click the Blank template to start a new exploration.
- Under the Dimensions, click the + button and search for Item name, check the checkbox beside it, and click Confirm.
- Under the Metrics, click the + button and search for Item revenue, Items purchased, and Average purchase price, check the checkboxes beside them, and click Confirm.
- Drag Item name to the Rows section of your report.
- Drag Item revenue, Items purchased, and Average purchase price to the Values section.
- Click the settings gear icon and set the row count to a higher number if needed.
- Set your desired date range in the report settings.
- Optional: Add a filter to exclude items with zero revenue.
Important Dimensions and Metrics
- Item name: Primary dimension that identifies each product in your inventory.
- Item revenue: Shows total revenue generated by each product.
- Items purchased: Indicates the quantity sold for each product.
- Average purchase price: Helps identify pricing patterns and discounts.
Actionable Insights
- Identify your top 20% of products that generate 80% of revenue to optimize inventory and marketing focus.
- Compare average purchase prices to spot products frequently sold at discount that might need pricing strategy adjustments.
- Look for high-value items with low purchase quantities to identify opportunities for promotional campaigns.
- Use the data to make informed decisions about which products to feature in your marketing campaigns.
- Identify seasonal trends by comparing data across different time periods.
Answers Similar Questions
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