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myEDITED: How Do I Create New Dashboard Filters?

 

If the existing saved filters available or your default filter is not suitable for your analysis, you can create a new one.

 

 

Complete the interactive tutorial below to learn how to create a new filter.

45 STEPS

1. This guide will teach you how to create a new filter, save it and set it as your default filter.

This example will look at creating a filter to analyze Women's Dresses in the UK fast fashion market.

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2. Click the X on your current filter pill to remove it.

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3. Click + Add filter.

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4. You will then have two options, choose Create a filter to start from scratch.

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5. Click Create filter.

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6. If you have access to Enterprise data you will see an Enterprise tab at the top. You will then be able to choose the Enterprise filters relevant to you analysis.

Product Category 1 and Brand conditions will be visible to customize.

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7. Click the trash can icon to remove unwanted conditions.

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8. Click + Add condition to add a new condition to your filter.

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9. For this example click Product Category 2.

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10. Click in to a condition to add.

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11. Select Dresses.

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12. Click Select Product Category 1.

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13. Select Women.

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14. Click Apply to update the data in your dashboard.

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15. Next, click the Market tab.

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16. Like the Enterprise tab, it will have conditions already added for you to customize.

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17. Click Select Country.

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18. Use the search bar to quickly find the region you need.

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19. Type UK.

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20. Select UK.

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21. Click Select Retailer.

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22. Use the search bar to quickly find the retailers you need.

Add at least two competitors and yourself.

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23. Once you have selected all the retailers needed for you analysis you can review them here.

Click the X to remove an you don't want.

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24. Click Select Gender.

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25. Select Women.

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26. Click Select Category.

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27. Select Dresses.

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28. Click + Add condition if you require more conditions in your filter.

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29. You will then have the option to select from further Fields and Metrics.

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30. You can use the Search bar at the top to find a specific Field or Metric.

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31. Any Field's or Metrics already selected will be greyed out.

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32. Click More metrics.

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33. This will give you a list of advanced metrics to choose from.

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34. Click Hide advanced metrics to hide the list again.

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35. Click the back arrow to return to the main filter panel.

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36. Once you are happy with your filter, click Apply.

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37. Then click Save Filter to add this to you saved filter list.

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38. Choose a Filter name.

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39. The filter will default to private so only you will be able to see it.

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40. Select Make this filter public to give you organization access.

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41. Click Save Filter.

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42. Next, click the three-dot menu.

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43. From here, you can Save as to duplicate the filter, Rename filter and Set as default.

E.g. If you want the filter you created to carry to other areas of the EDITED tool like Competitive assortment or pricing, you can set it as your default filter.

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44. Click Set as default.

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45. This will now be set as your default filter.

Remember that this filter will not carry over into Opportunities, as Opportunities has its own filters.

You have now completed the tutorial.

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Here's an interactive tutorial

** Best experienced in Full Screen (click the icon in the top right corner before you begin) **

https://www.iorad.com/player/2537947/Dashboards---How-To-Create-A-Filter

 

You can now add Ages & Sizes as a filter. This allows you to break down product performance by size (for children’s, footwear, and lingerie categories) or age group (children’s sizes)

 

Click the Size filter to get started.

 

Screenshot 2025-09-03 at 10.03.51

 

Select size filters like “2-3 years” or “7.5 adults” directly in dashboards and opportunities. It now works just like it does in Market.

 

Screenshot 2025-09-03 at 10.04.56

 

In this example below, we have used the Widget Table in Dashboards to view Size availability across three US retailers:

 

Screenshot 2025-09-03 at 10.08.09

The sizes filter from myEDITED will not transfer over to Market Analytics, because it uses a different logic, and will need to be reapplied when in Market. 

 

COMING SOON- What Is Ratings & Reviews?

 

You will now be able to filter by Average review rating and/or Average count, as highlighted in the filter panel.

 

cb68c103-3346-4c16-8284-2bdce89caaca

What Are Review Ratings?

 

Review Ratings help you to understand how well customers like a particular product.  This metric can be analyzed at a product level or aggregated by category, color, or many additional attributes. 

For example, you might conclude that items of a particular category, price range, or pattern are more liked than others.

 

Screenshot 2025-09-03 at 14.57.25

What Are Review Counts?

 

Review Counts help you to understand how often the product has been rated.  A very high count will usually suggest that we can trust the rating values as being statistically significant.  Likewise, high counts are often an indicator of a popular product. 

 

For example, sorting a competitor’s assortment by review count might give you some indication of which products have been strong sellers for that retailer.

If you see unclassified as a field, this means products with no reviews. 

 

Screenshot 2025-09-03 at 14.57.46

 

Why doesn’t every product have a review rating?

 

  • Not all sites offer user review submissions.

  • Some products, especially new ones, may not have received any reviews to date.

  • While EDITED has updated it’s collection procedures to gather review data for the most popular sites, collection updates for some sites are still ongoing.

 

When a product doesn’t have a review, how will this impact the metrics?

 

  • Aggregated metrics such as Avg Review Rating and Avg Review Count will ignore any products in your filter set without values.  In other words, it will calculate review metrics across all  product for which review data is available.

  • To avoid misleading conclusions, it is often helpful to analyze reviews for each retailer one by one before adding to a filter that aggregates multiple retailers.  Using this approach, you will gain an understanding of which sites support reviews first.