This section shows data related to Sales, Orders, and Sessions.
For example, in Overview Dashboard, you can:
- View recent sales, orders, and more, then compare the data with previous time periods
- Observe overall store visitor sessions, and check traffic by countries/regions, social source, and device type
- Track your store customer unit price and repurchase rate
- Discover hot items from the top-selling product list
Dashboards display the most valuable metrics to help you quickly understand and adjust your marketing and operational strategies. For all metrics, the percentage change from the previous date range can also be displayed, and some sections can be changed to view details. For example, you can click View Report at the top right of the "Top Products" section to view the sales, sales percentage, product user views, and other indicators of Top products on the secondary report page.
Steps to view your data
1. In the Admin, go to [Analysis] > [Dashboard] to use this feature. You can select different time periods at the top left of the dashboard. By default, the data is set to compare with that of the day before.
2. You can select a different time range in the upper left corner, if you want to see data for another date range, click the date menu and select a different date range. You can choose a preset range (such as the past 30 days), or set any custom range by clicking a date on the calendar.
3. If you want to draw a comparison with the same date in the previous year or with the date before, select "Compare to Previous date" or "Previous year", and click Apply.
Metrics available on the Dashboard
Amount of order successfully placed.
Sales = Subtotal Amount - Discount Amount + Shipping + Product Tax + Tip + Shipping Tax - Credit Amount - Refund
The number of sessions on all pages of the store.
The percentage of visitors who completed checkout as a percentage of all visitors. This metric and the metrics below include your online store and one-page store.
Users need to add a product to their online shopping cart and go to the checkout page before they can buy a product. This is often referred to as the "conversion funnel", where the number of people from one step to the next decreases significantly.
This number is usually less than the total number of visitors, as some visitors only view products in the store, but do not add any products to their carts.
This number is usually less than the quantity added to the cart, as some visitors only add products to their carts, but do not proceed to checkout or submit their contact information.
This number is usually less than the number to reach the checkout step, because some visitors add users, logistics information, but do not initiate payment or complete the order.
This amount may not match your order count, as visitors may place multiple orders in a single visit. This amount is usually less than adding payment information, as some visitors may experience issues with the payment process and not complete the checkout.
Ideally, over time, you'll need to adjust your marketing and item pricing so that more visitors who add products to their carts actually complete their purchases.
|Returning customer rate||Calculation: Number of returned customers ÷ Total number of customers|
|Average order value||
The average amount each customer spends on each transaction.
Calculation: Total order values (including taxes, shipping rates, discounts) ÷ Total number of orders
|Orders||The number of successful orders.|
The best-selling products in your store. Knowing this data will be useful for marketing and inventory management. You can also recommend these products to new customers or mention them on your social media channels.
|Store sessions by country/region||The sessions to your online store by country or region. This metric is collected from your online store and one-page store.|
|Store sessions by device type||The sessions to your store and the type of device used to access your store. The most common device types are mobile, desktop, and tablet. This metric is collected from your online store and one-page store.|
|Store sessions by traffic source||The number of traffic acquisition on your website.|
|Store sessions by social source||The website traffic from direct inputting URL, searches, social media sources such as Facebook, Instagram, YouTube, or Twitter, and your store Admin. This data can help you focus your marketing efforts. Traffic sources are sometimes undetermined, so it's not uncommon to see unknown traffic sources. This metric is collected from your online store and one-page store.|
|Top landing pages by sessions||It shows the specific pages customers visit on your online store. You can use this data to customize the text and marketing content on these pages to enhance your customers' first impression of your site. This metric is collected from your online store and one-page store.
The landing page is determined based on the URL of the first page viewed in each individual session. The visit will end after 30 minutes of inactivity by the visitor and at midnight (UTC).
|Page views||The number of sessions on all pages of the store.|
Calculation of conversion rate metric percentages
Conversion rate - Sessions that completed checkout ÷ Total sessions x 100%
Added to cart - Total number of sessions who have added products to the shopping cart ÷ Total sessions x 100%
Reached checkout - Sessions who reached checkout page ÷ Sessions that added products to cart x 100%
Added customer info - Sessions who added the user information ÷ Total sessions x 100%
Added shipping method - Sessions who selected or confirmed the logistics ÷ Total sessions x 100%
Added payment info - Sessions who clicked Pay or Submit Order ÷ Sessions reached checkout page x 100%
Completed checkout - Sessions of successful orders ÷ Sessions that added payment info or completed payment x 100%
Store Sessions and User Activity
The number of sessions and users’ activity are based on cookies.
A session ends after 30 minutes of inactivity and at midnight (UTC). Since the same user can have multiple visitors, the number of sessions is usually higher than the number of users.
For example: A shopper looked at a product in your store for 20 minutes. After two hours, the shopper returned to the store for 10 minutes, then two sessions and one user were counted. If a shopper checked your store for 5 minutes, left, and then returned after 10 minutes, there would be one session and one user.