Using Date Ranges & Filters

Date ranges and filters help you control which store data you are viewing in the Avia dashboard.

You can use them to review performance for a specific day, week, month, store, or group of stores.

Date range

Use the date range selector to choose the period you want to analyze.

In Avia, you select the start date and end date for the data you want to review. The dashboard then updates the metrics based on the selected date range.

Avia uses the store opening hours configured in Store Management when displaying store activity. You do not need to manually select working hours in the dashboard.

Changing the date range updates the dashboard metrics based on the selected period.

Store filter

If your account has multiple stores, use the store filter to select the location you want to view.

You can use this to:

  • View one store at a time

  • Compare performance across locations

  • Focus on a specific store’s traffic and sales data

Make sure the correct store is selected before reviewing the dashboard.

Metric filters

Some dashboard views allow you to switch between different metrics, such as:

  • Total Traffic

  • Unique Visitors

  • Conversion Rate

  • Sales

  • Average Order Value

Changing the selected metric can change how the data is displayed in charts, tables, or heatmaps.

Comparing performance

Filters are useful when comparing store performance over time.

For example, you can compare:

  • This week vs last week

  • This month vs last month

  • One store vs another store

  • Traffic trends before and after a campaign

This helps you understand how store activity changes across different periods.

Important note

Always check the selected date range and store before reviewing the data.

If the wrong date range or store is selected, the dashboard may appear to show missing or unexpected data.

Need help?

If dashboard metrics do not update correctly after selecting a date range, contact Avia support at support@retailogists.com.

When contacting support, include:

  • Store name

  • Selected date range

  • A screenshot of the dashboard

  • Which metric or filter looks incorrect