Marketplace Profitability

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Our first profitability dashboard looks at your overall company performance across all your markets.

Summary cards

At the top you will see a set of tables (or cards) that summarise your performance across all your countries for the last 7, 14, 30, 60 and 90 days.

This allows you to get an instant view on whether you are performing at the levels you are expecting in terms of revenue, costs, profitability, units sold and refunds issued.

The amounts are shown in your preferred currency as defined in your settings, and using the days’ average exchange rate as available on xe.com or Yahoo Finance or any other reputable FX website.

This allows you to have a consistent view of your business performance, no matter how many different markets and currencies you sell in.

Marketplaces & Country Summary

This first graph will allow you to see the breakdown per day, week or month of any given period for the sum of all  the marketplaces in which you sell. You can edit the time range, edit whether to view by day/week/month and select/unselect any of the legend items.

Changes to date range and breakdown per day/week/month will be applied to all individual country graphs below as well.

The last 30 days are shown by default when the page loads.

Important: A critical part of calculating your Profit is taking into account your Product Costs. This means the cost of purchasing and shipping the product to Amazon or your own warehouse. For more information, read this article.

If you run Amazon advertising campaigns, you should also make sure your advertising account is connected up to Trendle so that we can integrate the PPC Revenues and PPC Costs. For more information, read this article.

Revenue Evolution

The last chart at the bottom of the page compares your monthly revenue for the last years. We can only show you up to 18 months of history since you joined Trendle as this is all Amazon allows us to obtain.

This is useful to see how you are performing compared to previous years and to measure your growth over time.

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