Operations Center: YoY Daily Sales (Year Over Year Daily Sales)

Since most industries experience seasonal sales fluctuations, year-over-year (YoY) comparisons are essential for assessing a company’s performance while accounting for seasonality.

This is where Eva’s YoY (Year-over-Year) Daily Sales section comes in. This feature allows Brands (Private Labels) to compare their sales on the same day from the previous year. By leveraging this data, you can identify business growth trends without being misled by seasonal shifts or special events. For example, you can compare your Valentine’s Day sales from this year and the last to track performance changes.

To access your YoY Daily Sales, navigate to the Operations Center and click on the YoY Daily Sales button. The chart provides a detailed annual sales comparison, helping you analyze trends effectively.

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YoY Daily Sales

The YoY Daily Sales chart is a two-axis chart, explained as follows:

  • Axis 1: Represents the total revenue earned from sales.
  • Axis 2: Displays the historical sales data for comparison.

This chart provides full access to YoY features, allowing you to analyze and compare sales trends over time.

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YoY Chart Axes

When you hover your mouse over a candle on the chart, detailed information for that specific day will appear. This includes:

  • Sales
  • Previous Year Sales
  • Number of Orders
  • Total Units
  • Last 30 Days Avg. Sales
  • YoY Daily Sales
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Daily YoY

If you click on one of the candles, you will have access to the menu that will open below.

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YoY Comparison

In this section, you can view the SKUs that were enabled on a specific day, along with their sales rates and refund rates.

If you’re looking for specific SKUs or other parameters, simply type them into the search box and press Enter to apply your filters.

Additionally, clicking on any SKU will redirect you to the Pricing Actions and Analytics page, where you can explore all the detailed information about that SKU.

Click here for more information about the Pricing Actions and Analytics page.

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