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Eva Commerce Intelligence
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Product Analytics
Product Analytics
This topic explains how product analytics on analytics page is organized and conduted
How to Analyze My Product’s Performance Over Time?
This help content provides a step-by-step guide on how to analyze product performance over time using the Product Analytics feature. Users will learn: 1. Accessing Product Analytics: How to navigate to the Product Analytics tab from the Analytics landing page. 2. Scope Settings: Confirming account settings to ensure accurate data interpretation. 3. Time Window Selection: Choosing between daily, weekly, or monthly views for performance tracking. 4. Date Range Definition: Setting specific date ranges for analysis. 5. Reading Trends Overview: Understanding the visual dashboard that includes performance cards and interactive graphs. 6. Customizing Metrics: How to manage which metrics are displayed and create custom presets for future use. 7. Validating Table Outputs: Reviewing performance data in table format based on the selected time window. Common questions and answers regarding the functionality of the analytics tools are also provided to enhance understanding and ease of use.
The Date Range and Timeframe Selection
Trends Overview: Visualizing Performance with Dynamic Graphs
Metric Management: How to Customize Your Performance Cards
How Can I Identify My Top-performing and Underperforming Products?
This guide provides a step-by-step approach to identify your top-performing and underperforming products using product analytics. You will learn how to access product analytics, utilize the search bar for quick product identification, and apply filters based on various metrics such as sales, traffic, performance, and inventory. The guide explains how to organize product results in either card or table view, add or customize metrics, and group products to uncover performance patterns. Lastly, it covers how to export the product list for further analysis outside the analytics platform. This comprehensive process will help you effectively analyze product performance and make informed decisions.
Using the Advanced Product Filtering Engine
Using Cards View and Table View
Columns Tab in Product View
Exporting Product Data
Grouping Products by Different Categories