Rush provides a couple of reports directly linked on the home page, a.k.a. Dashboard Reports.
However, for stores with higher order volume, or store owners with multiple stores, the basic reports are just not enough. For this reason, Rush provides the ability to do a custom report just for you to visualize the data you need - think of it as your Business Analytics dashboard related to orders and shipments ;)
What is it?
The Personal Data Analytics report is a custom report that leverages the Rush data warehouse to visualize different metrics, important to the business.
How can I get access to my Personal Data Analytics report?
You can access the report directly through the Rush app (in Settings > Personal Data Analytics report) if it's included in your subscription plan, and is prepared for you. Let customer support know what you need.
The feature is available only for Advanced plans
If you are on an Advanced plan, feel free to reach to support, to arrange a video session with Rush Business Analyst to collect your requirements. Then sit tight and wait to see your report link becomes active. As soon as it is ready, you will be able to click and follow up on the report.
What does a dashboard contain?
It’s made up of different charts and visuals for the main metrics and variables that are the basis for a store’s analytical needs. It helps the store owner to track what happens with the delivery of the orders and get additional insight.
Which are the main components?
Rush supports multiple diagrams and tables out of the box.
1. Shipment delivery dates
This table shows basic delivery KPIs for timing related to the delivery lifecycle. It shows the average values for different events such as:
Created Order to Delivered days AVG – how many days on average does it take for orders to be delivered since their creation date
Tracking Number added to Delivered days AVG – the average amount of days for delivery since the tracking numbers has been added to orders
First tracking event to Delivered days AVG – the average amount of days for delivery since the first tracking event
In transit to Delivered days AVG – the average amount of days for delivery since the orders were marked as “In Transit”
Created order to Tracking Number added AVG – the average amount of days between the orders creation date and when the tracking numbers have been added
Shows breakdown of the number of orders/shipments by a carrier. In short, which are the top carriers (in both % and an absolute number of shipments). If there’s no information on who the carrier is, it’s included as “Undefined”.
3. Shipment statuses
Shows a breakdown of shipments by shipment statuses. Good to track how many are delivered vs those in transit (or in other statuses).
4. Carrier dates
Shows the carries for all delivered shipments and other metrics (like the minimum, average and maximum days it took for a delivery).
5. Destination country
Shows the destination countries for all delivered shipments and other metrics (like the minimum, average and maximum days it took for a delivery).
6. Destination country/Carrier
A detailed split of the destination country by carrier. Contains metrics like the minimum, average and maximum days it took for delivery.
7. Shipments in “Pending” status for more than X days
Shows store shipments that are in status “Pending” for more than a predefined number of days. The
X can be set by using the filters on top of the dashboard. It’s possible to have a default number of days set to 5. Contains:
Order Created At Date
Number of days the order staying in “Pending” status
Status of the order
Tracking link – the link to the carrier’s tracking page
Shopify order page link – can be added if the store provides a link to its Shopify order page
8. Shipments in “Pickup ready” status for more than X days
Shows the shipments that are in status “Pickup ready” for more than a predefined number of days. The
X can adjust by using the filters on top of the dashboard. It’s possible to have a default number of days set to 5. The table contains the same elements as the previous table, except for the Description column that contains notes on the order.
9. Shipments in “Transit” status for more than X days
Shows the shipments that are in status “Transit” for more than a predefined number of days. The
X can adjust by using the filters on top of the dashboard. It’s possible to have a default number of days set to 5.
What are filters?
They are the small drop-down menus at the top of the dashboard which allows you to make selections. Based on what you’ve selected, the information in the charts below changes.
There are two standard filters in each dashboard
1. Filter 1 -> Fulfillment Created at
This filter is important because it selects the orders on which all metrics and charts are based. If 30 days are selected for example all the information inside the dashboard will be based on the orders created in those 30 days.
Note: If you don’t have orders for the period you selected, no data will be shown on the dashboard.
2. Filter 2 -> No updates from X days
This filter controls the following tables only:
Shipments in “Pending” status for more than X days
Shipments in “Pickup ready” status for more than X days
Shipments in “Transit” status for more than X days
Example: If a value of 15 is applied, the three tables will show only the orders that are in that status for more than 15 days.
In addition to this filter, a default value can be set.
3. Filter 3 -> Store name (applicable only to multi-store brands)
This filter applies only to brands with multiple stores. When you open your dashboard it will show information for all stores combined and if you want to see it for an individual store – you can do so by using this filter.
Note: Filters are not saved so every time they refresh the link or reopen the dashboard the default set of values will be applied. However, if needed we can change all defaults to match your needs.
Each dashboard is made manually for every store so it’s possible that the dashboards differ slightly. As it uses information from Store, which may not be available in some cases, some visuals may not be applicable.
Information we show is limited to the information we collect and what can be visualized. Our team will be happy to explore what’s possible for your store.