Products report

The product reports give you a detailed overview of which products are the best sellers, how many units have been sold and what turnover they generate. In order to view complete sales data for Tanganica campaigns, it is important to have Tanganica Pixel properly installed in your store. This records information about the orders placed and feeds it into the system, allowing you to see how Tanganica ads and other sources are contributing to the sales of each product.

Where can I find product reports?

  1. Log in to your account in our system.
  2. In the main menu, click on the "Products" tab (located in the top bar, next to the "Orders" section).
  3. You will see a list of products with the relevant metrics.

Overview of the main elements

a) Filters and date range

  • Date range: In the top right corner, select the period for which you want to view statistics (e.g. "Last month"). You can also select a custom date range.
  • Additional filters: In some cases, you may have additional filters (e.g. product categories, specific brands, etc.) that allow you to focus on a specific range of products.

b) Metrics table

In the table, you will see several columns to help you with detailed sales analysis:

  1. Product ID
    • The unique identifier of the product in the system.
  2. Product name
    • The exact name of the item as it appears in the catalog.
  3. Revenue
    • The total amount of money that the product generated in the specified period.
  4. Total quantity
    • The total number of units sold in the given period.
  5. Tanganica quantity
    • Number of units sold due to Tanganica ads
  6. Order count
    • Number of separate orders in which the product was purchased.

With these columns, you can find out which products are the best sellers and what volume of sales they bring in.

Export report

At the top of the report, there is an "Export to..." button where you can select the desired export format (e.g. CSV, XLS, etc.). The export will allow you to:

  • Custom analysis in external tools (Excel, Google Sheets).
  • Backup and share with colleagues.
  • Comparison with other data sources (e.g. accounting systems, advertising platforms).

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