To refine your analysis, filters are available in the "Settings" section.

You can filter your analysis using the following criteria:

• Period type (4 weeks)
• Analysis period
• Category
• Brand
• Store format
• Region
• Store/Point of sale name
  

Step 1: Define the Analysis Period

4-week period : This option calculates performance over four full weeks based on Nielsen period start and end dates. Unlike a calendar month, a 4-week period always starts on a Monday and ends on a Sunday.

You can consult the 4-week period calendar here .

Step 2: Select products

Choose the category or categories, and the brand or brands you want to analyze.

Note : all boxes are unselected by default. To refine your results, you will need to manually select the relevant options.

Filters are interconnected . This means that when you select one or more categories, Aware Analytics automatically removes brands that are not linked to those categories.

Step 3: Select the stores

Select the store format (s), region (s) and specific store (s) to analyze.

Store format nomenclature by country and by brand:

Below is the naming logic used in each country.

🇫🇷 ITM France

The value combines a store format code with the average sales area.

• Construction rule: {format code} + {average area}
• Format codes:
• • CO : Contact
  • EX : Express
  • SA : Superfood
  • SG : Super Generalist
  • HY : Hyper
    

Example: SG2000 refers to a Super Generalist store with an average area of 2,000 m².

🇵🇹 ITM Portugal

The value combines the full name of the format followed by the surface, separated by a space.

• Construction rule: {format name} + {average area}

Example : Contact 600 refers to a Contact format store with an average area of 600 m².

🇧🇪 ITM Belgium

The value is defined by a unique letter code. Each letter corresponds to an average store area bracket (in m²).

• Construction rule: {area letter}
• Correspondence grid:
• • S : Less than 699 m²
  • P: from 700 to 999 m²
  • M: from 1,000 to 1,299 m²
  • G: from 1,300 to 1,899 m²
  • H: over 1,899 m²

Step 4: Launch the analysis

Once your filters are set, click "Run" to launch the analysis.

Save time by saving your custom dashboard filters as personalized "Selections".

If you regularly analyze a specific group of products and/or a specific group of stores, you can save this setting as a selection for easy reuse , without having to manually recreate your filters each time.

How do I save a selection? 

1. In the "Settings" side menu, choose and apply the desired product and store filters.
2. A new “My selections” button then appears below the choice of the analysis period: click on the “Save” icon to create a Selection with the selected filters.
3. Name your Selection, then save.

Note :

• The personalized selections are specific to each dashboard.
• You can create up to six selections per dashboard.