All Collections
Analytics
Dashboard: Visualizing your Data
Dashboard: Visualizing your Data

A new Visual Dashboard is coming to your aid. Get started with the first charts.

Luciano Coelho avatar
Written by Luciano Coelho
Updated over a week ago

To provide you with amazing data visualization capabilities, we are re-working and improving our Dashboard section. So keep tuned to this article as it grows together with many new Visuals and Insights!

So let's cut to the chase and learn about the new available Dashboard section.

General Settings

Most of the charts and visuals are affected by the two section-level filters:

  • Outlets: allow you to filter one or more outlets and see the data only for those stores. To add more, simply keep selecting them, one after the other. To see all, click again on the selected ones to remove them from the filter, one by one, until the "All outlets" is back on display.

  • Date: select the data inside the period you want.

    • Current Month: data from the 1st day up to Yesterday, of the current month.

    • Last 7 days: 7 days backwards, counting from Yesterday.

    • Last 30 days: 30 days backwards, counting from Yesterday.

    • Select date range: allows you to select your desired period of data, up to 365 days backwards.
      ​

πŸ’‘ Tip: After selecting a custom date range, you must click the x next to it to see the pre-set ranges.

  • Aggregations: timeline charts allow you to aggregate the data in Daily, Weekly and Monthly periods. To improve visualization, only a maximum of 31 points can be plotted. For example, if you select a custom range period of 65 days, the Daily visualization won't be available, only the Weekly and Monthly (because inside 65 days range there are less than 31 weeks or 31 months).

Charts

Sales

The Sales chart shows the revenue generated for the specific combination of filters. Conversely, only Completed orders are considered for this chart. To see details of a specific point, simply hover over it (available on Desktop view only).

The total figure shown on top is the sum of revenue for the specific combination of filters.

The AOV line stands for Average Order Value and shows such average for the filter combination and aggregation used.

If, for the period selected, there are still orders being served, those revenues will show up once they are completed.
​

☝🏼 Note: Data is processed during the night, after a day's end. That is why you cannot find data for same day sales. For more precise information of the last data processed and available, check the message "Data as of" under the page title.

Orders

The Orders chart shows the volume of orders processed for the specific combination of filters. Note that, by processed, we mean also orders Rejected or Cancelled, in addition to the Completed ones.

To see details of a specific point, simply hover over it (available on Desktop view only).

The total figure shown on top is the sum of order volume for the specific combination of filters.

The AOV line stands for Average Order Volume and shows such average for the filter combination and aggregation used.

If, for the period selected, there are still orders being served, those volumes will show up once they are completed.

Acceptance Rate

This scorecard displays the split of order initial status, after being placed, so you can measure operations efficiency for how many orders are being accepted, rejected or being missed (time-out).

The percentages shown consider the same amount of orders being loaded for the above charts, related to the filters selected (date and outlets).

Accepted orders include all orders completed and cancelled. Rejected includes only rejected orders, and missed includes timed-out orders (orders that have not been acknowledged in time by the staff).

New vs Returning Customers

Here you can check what part of your audience, for the orders being loaded following the selected filters of outlet and date, is made of New or Returning customers.

By benchmark definition, a New customer is a user placing their very first order in the period, no matter how many orders they placed in said period. A Returning customer is someone who already placed at least one order before the period start date.

Ratings

This card shows the average rating from customers agains orders. It considers values form 1 to 5 in order to calculate the average, and the orders being looked at are the ones under the selected filters of date and outlet.

Total Sessions

This card shows how many user sessions, or visits, your business got on the ordering page. It is the same to say "how many customers came in through the door in your store". These are not unique sessions, meaning that if the same user visited your online store in 3 different times in a day, it will count 3 times.

Overall Conversion

This card shows, in percentage, how many of those initial sessions became orders. For example, if you conversion is 10%, it means that out of 10 visits to your online store, you got 1 order.

☝🏼 Note: Data is processed during the night, after a day's end. That is why you cannot find data for same day sales. For more precise information of the last data processed and available, check the message "Data as of" under the page title.

Did this answer your question?