Analytics | Create your custom dashboard
Analytics are in Beta version and available to selected merchants. Many features are still being finalized, and some may be modified, withdrawn or subject to specific pricing at the end of this phase.
Why create your own dashboard?
While premade dashboards give you a great starting point to Analytics, your team may have specific monitoring needs. Creating a custom dashboard allows you to:
- Combine metrics from different areas (orders, billing, performance, inventory)
- Monitor KPIs that matter most to you
- Break down your data in personalized ways: by shop, warehouse, destination country, carrier, or product type
- Filter in a way that matches your internal needs
Two ways to get started
You can create a custom dashboard by:
1. Duplicating a pre-built dashboard
- Start with a structure that’s already relevant
- Add, remove, or adjust charts
- Apply different filters or breakdowns
2. Starting from scratch
- Build your dashboard chart by chart
- Add only the metrics, charts, and filters you need
Building a chart
Each chart in a dashboard is powered by a query. Here’s how to build one:
1. Choose a metric
Select a quantitative value* you want to monitor, such as:
- Number of orders
- Return rate
- Invoice amount
- Average fulfillment cost
- etc
*Either one of the core metrics used in default dashboards, or more options available exclusively in the query builder
2. Choose a dimension
Select how you want to break down the data:
- By Shop, Country, or Channel (B2B vs B2C)
- By Shipping Method
- By Product
- By Warehouse
3. Choose a visualization type
Select one of the 4 available visualizations:
- Pie chart
- Table
- Line chart
- Vertical bar chart
4. Apply filters (optional)
Narrow your data to what matters:
- Filter by specific shop, product, carrier, or date range or any other dimensions
Key rules and behaviors
- All queries in the same dashboard share the same time period and time breakdown
- You can drill down into any chart to explore underlying data (orders, returns, fulfillment records)
- You can export chart data as .csv for further analysis
- A query must belong to a dashboard – you cannot save a standalone query
Need ideas?
Looking for inspiration? Here are a few use cases:
- By sales channel (B2B vs B2C) dashboard : Monitor order volume, fulfillment costs and lead time per storefront
- By destination country: Monitor cost, transportation lead times, and buyer satisfaction by country
- By warehouse dashboard: Compare Inventory turnover and lead time across warehouses