--- title: "Comparison" slug: "comparison" updated: 2024-11-22T15:44:33Z published: 2024-11-22T15:44:33Z canonical: "docs.mapp.com/comparison" --- > ## Documentation Index > Fetch the complete documentation index at: https://docs.mapp.com/llms.txt > Use this file to discover all available pages before exploring further. # Comparison The **Comparison** view in Mapp Intelligence allows you to analyze differences across either **time frames** or **segments**, providing insights into trends and user behavior. You must select the type of comparison—**time frames** or **segments**—as they cannot be mixed within a single analysis. This ensures clarity and meaningful results for your analysis. **Key Features** 1. **Two Types of Comparison**: 1. **Time Frame Comparison**: Analyze and compare data across different time periods. Examples include: 1. Last week vs. the week before. 2. A month vs. the same month last year. 3. Custom time frames, such as **Black Friday to Cyber Monday this year vs. the same period last year**, allowing you to compare performance during critical e-commerce sales periods that vary annually. 2. **Segment Comparison**: Compare predefined segments (saved filters) to evaluate differences between user groups. Examples include: 1. **New vs. Returning Users**: Understand differences in engagement or conversion rates. 2. **Loyal vs. Non-Loyal Clients**: Measure how repeat customers interact compared to first-time buyers. 3. **Desktop vs. Mobile Users**: Analyze performance across devices. 2. **Flexible Comparison Configurations**: - Compare multiple time frames or segments simultaneously (e.g., last week, the week before, and the week prior to that). - Analyze up to **five metrics** side-by-side for deeper insights. - Tailor your comparison to suit specific use cases and uncover trends across multiple dimensions. 3. **Comparison Metrics**: - Both the **actual values** (e.g., visits, conversions) and **comparison metrics** (percentage changes) are displayed. - Customize the output to show: - The percentage change only. - Both percentage and absolute changes. 4. **Improved Visibility Options**: - Use the expand/collapse symbol in the comparison view to hide or display specific elements. - Simplify the visualization to focus on what matters most. --- ## Understanding the Comparison Metric The comparison metric (percentage change) is calculated using the **right column** as the reference value. This shows how much the left column value has changed relative to the reference. ```plaintext Formula: ((Left Column Value - Right Column Value) / Right Column Value) × 100 ``` **Example Calculation**: | Visits | | --- | | Previous week | Week before previous week | Percentage Change | | 5000 | 4500 | ((5,000 - 4,500) / 4,500) × 100 = +11.1% | This calculation ensures that the right column serves as the baseline for comparison, helping you assess changes effectively. --- ## **Example: Comparing Date Ranges** To demonstrate how to use the **Comparison view**, let’s take a practical example using the **Device Class Analysis**: **Scenario**: You want to compare visits and conversion rates between last week and the week before to analyze how device performance has changed over time. ![](https://cdn.document360.io/554b9b98-6720-4d8b-9919-c7b203d72648/Images/Documentation/2024-11 Comparison.gif) ### **Step-by-Step Guide** 1. Open the **Device Class Analysis** (*Visitors > Technology > Device Class*) 2. Choose the **relevant metrics**, such as “Visits” and “Conversion Rate %” 3. **Activate the Comparison View**: Switch to the **Comparison icon** in the top menu. 4. Comparison **Configuration**: 1. **Select the Comparison Type**: Choose **Compare Date Ranges**. 2. **Set the Date Ranges**: Use the calendar to select: > [!NOTE] > **Note**: If you plan to save this analysis in a report or via bookmarks, it is recommended to use **dynamic time ranges** (e.g., “Last Week”) instead of fixed dates. Dynamic time ranges will automatically update, ensuring the analysis reflects the relevant time periods each time you view it. 1. **Previous week** as the first range. 2. **Week before previous week** as the second range. 5. **Review the Results**: The comparison table will display: - The actual values for each metric (Visits and Conversion Rate) for both time ranges. - A calculated comparison value showing the percentage change.