Reports & Analytics

How to Analyze Revenue by Product Categories and Coupon Codes in PayHelm

Updated 9/8/2025
revenue-analysis, product-categories, coupon-codes, filtering, custom-reports, promotional-campaigns, dashboard, analytics

How to Analyze Revenue by Product Categories and Coupon Codes in PayHelm

Understanding which product categories and promotional codes drive the most revenue is crucial for optimizing your ecommerce strategy. PayHelm provides powerful filtering and reporting tools to help you analyze revenue performance across different product categories and coupon codes.

What You'll Learn

    This guide will show you how to:
  • Filter revenue data by specific product categories
  • Analyze performance of different coupon codes
  • Create custom reports combining category and coupon data
  • Build comprehensive revenue analysis dashboards

Overview of PayHelm's Revenue Analysis Tools

PayHelm's dashboard provides multiple ways to segment and analyze your revenue data:

  • Category Filters: Filter data by product categories to see revenue performance
  • Coupon Code Filters: Analyze the impact of promotional campaigns
  • Reports Tab: Build custom reports with multiple data points
  • Real-time Data: Access up-to-date revenue information as it syncs

Step 1: Using Category Filters to Analyze Revenue

Accessing Category Filters

  1. Navigate to Your Dashboard
  2. - Log into your PayHelm account - Go to your main analytics dashboard
  1. Locate the Filter Panel
  2. - Look for the filter panel on the left side of your dashboard - Find the "Category" filter option in the list
  1. Select Product Categories
  2. - Click on the Category dropdown menu - Choose the specific product categories you want to analyze - You can select multiple categories for comparison

What You'll See

    Once you apply category filters, your dashboard will update to show:
  • Total revenue for selected categories
  • Order volume by category
  • Performance metrics specific to those product lines
  • Trending data over your selected time period
PayHelm Dashboard Category Filtering

Step 2: Analyzing Coupon Code Performance

Setting Up Coupon Code Filters

  1. Find the Coupon Code Filter
  2. - In the same filter panel, locate the "Coupon Code" or "UTM Campaign" filter - This may also appear as "Promotional Code" depending on your setup
  1. Select Specific Codes
  2. - Choose the coupon codes you want to analyze - You can filter by individual codes or groups of promotional campaigns
  1. Apply Multiple Filters
  2. - Combine coupon code filters with category filters for deeper insights - This shows which categories perform best with specific promotions

Revenue Insights from Coupon Analysis

    When filtering by coupon codes, you'll see:
  • Revenue generated from each promotional campaign
  • Conversion rates for different coupon codes
  • Category performance within promotional campaigns
  • Customer behavior patterns with specific offers

Step 3: Building Custom Reports

Using the Reports Tab

  1. Access the Reports Section
  2. - Click on the "Reports" tab at the top of your dashboard - This opens PayHelm's custom report builder
  1. Select Your Data Points
  2. - Choose "Revenue" as your primary metric - Add "Product Category" as a dimension - Include "Coupon Code" or "Promotional Campaign" data
  1. Configure Your Report
  2. - Set your desired date range - Choose how you want the data grouped (daily, weekly, monthly) - Select your preferred visualization (table, chart, etc.)

Advanced Report Features

    Multi-Dimensional Analysis:
  • Combine categories, coupon codes, and time periods
  • Create pivot tables showing revenue by category and promotion
  • Export data for further analysis in external tools
    Comparative Reporting:
  • Compare performance across different time periods
  • Analyze seasonal trends by category
  • Evaluate promotional campaign effectiveness

Step 4: Understanding Data Timing

Data Refresh Schedule

  • Real-time Updates: Most revenue data appears within 1-2 minutes
  • Full Sync: Complete data synchronization occurs regularly
  • Historical Data: Past data is immediately available for analysis

Best Practices for Timing

  • Allow a few minutes for new data to appear after applying filters
  • Check data timestamps to ensure you're viewing current information
  • Set up regular reporting schedules for consistent monitoring

Practical Use Cases

Campaign Performance Analysis

Scenario: Evaluate which product categories respond best to discount campaigns

    Steps:
  1. Filter by specific coupon codes used in your campaign
  2. Apply category filters to see performance by product line
  3. Compare revenue and conversion rates across categories
  4. Identify which categories benefit most from promotions

Seasonal Category Trends

Scenario: Understand which product categories drive revenue during different seasons

    Steps:
  1. Set date filters for specific seasonal periods
  2. Apply category filters for your main product lines
  3. Use the Reports tab to create comparative analysis
  4. Build charts showing category performance over time

Promotional ROI Analysis

Scenario: Calculate return on investment for promotional campaigns

    Steps:
  1. Filter by promotional coupon codes
  2. Analyze revenue generated vs. discount amounts given
  3. Break down performance by product category
  4. Create reports showing net revenue impact

Expected Results

After implementing these filtering and reporting techniques, you should be able to:

  • Identify Top-Performing Categories: See which product lines generate the most revenue
  • Evaluate Promotional Effectiveness: Understand which coupon codes drive the best results
  • Optimize Product Mix: Make data-driven decisions about inventory and focus areas
  • Improve Campaign Targeting: Better target promotions to high-performing categories

Troubleshooting Common Issues

    Filters Not Showing Data:
  • Ensure you have data for the selected time period
  • Check that your ecommerce platform is properly connected
  • Verify that category and coupon code data is being tracked
    Missing Category Information:
  • Confirm that product categories are properly set up in your ecommerce platform
  • Check category mapping in your PayHelm integration settings
  • Allow time for category data to sync after changes
    Coupon Code Data Not Appearing:
  • Verify that promotional codes are being properly tracked
  • Check UTM campaign setup if using campaign-based tracking
  • Ensure coupon usage is being recorded in your ecommerce system

Advanced Tips

    Custom Report Automation:
  • Set up scheduled reports for regular category and coupon analysis
  • Create dashboards specifically for promotional campaign monitoring
  • Use PayHelm's export features to share insights with your team
    Integration Optimization:
  • Ensure your product categories are consistently named across platforms
  • Standardize coupon code naming conventions for better tracking
  • Set up UTM parameters for comprehensive campaign tracking

This comprehensive approach to revenue analysis by categories and coupon codes will help you make informed decisions about product focus, promotional strategies, and inventory management based on actual performance data.

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