A Shopify dashboard is a screen that brings together the numbers you use to run your store: sales, orders, customers and products, updated automatically. Having the numbers is not enough. What counts is knowing how to read them. This guide does not list every possible metric. It explains the seven that really matter, what it means when they move, and which check to run first.
Why look at these numbers every week
No single metric tells the whole truth. Sales can rise while the store gets worse, and they can sit still while it improves. You only see that by reading several numbers together and always against a comparison period.
Take the sample view below: sales are up 8%, orders up 5% and average order value up 3%. More people are buying and each one spends a little more, which is the healthiest kind of growth. But numbers rarely move so neatly, and the useful part is when they diverge.
What it means when the numbers diverge
This table collects the most common combinations. They are hypotheses to test, not verdicts: they tell you where to start looking.
| What you see | What it may mean | Check first |
|---|---|---|
| Sales flat, orders down, average order value up | Fewer people buy, but they spend more. A promotion on pricier items, or the loss of small, occasional buyers | Traffic sources and best-selling products |
| Sales up, conversion rate down | More traffic is arriving, but it is less qualified | New or growing sources, and campaigns launched recently |
| Orders up, average order value down | Deeper discounts, or entry-level products selling heavily | Discounts applied and product mix |
| Sales up, refunds up | Growth that doesn't stick: part of what you sold comes back | The products with the most refunds |
| New customers up, returning customers down | Lots of one-off purchases, little loyalty | Time between first and second order, and which products lead to repeat buys |
| One product drives most of the sales | The store depends on a single item: if it slips, everything slips | That product's share of the total and its stock |
The seven metrics: how to read them
For each one: what it measures, how it is calculated, how to read it and the most common mistake. One rule applies to all of them: there is no universal threshold. The right reference is your own average over the last eight to twelve weeks, because every store has different products, prices and seasons.
1. Sales and orders
Measures: how much you take in and how many times someone bought. How to read it: compare with the previous period and with the same period last year, because seasonality matters. Look at sales and orders together: if they move differently, average order value is changing. Common mistake: celebrating gross sales without taking out discounts and refunds.
2. Average order value (AOV)
Calculated as: sales divided by orders. With €12,400 and 214 orders, AOV is about €58. How to read it: when it changes, the cause is almost always one of three: product mix, discounts or the free shipping threshold. Common mistake: treating it as a single average. Split new and returning customers, because they often spend differently.
3. Conversion rate
Calculated as: orders divided by sessions. How to read it: it is the first number to check after a site change or a campaign. Read it by source and by device: a drop on mobile with desktop steady points to a mobile experience problem, not a demand problem. Common mistake: comparing periods with a very different traffic mix, for example a week with a campaign against a week without.
4. Best sellers and slow movers
Measures: revenue and units by product and by collection. How to read it: best sellers tell you what to keep in stock and promote, slow movers what to rethink or drop. Always put refunds alongside: a best seller with lots of returns is not a best seller. Common mistake: restocking a product without checking how many come back.
5. New and returning customers
Measures: how many buyers are on their first order and how many have bought before. How to read it: a store that lives only on new customers has to spend more and more to grow. The share of returning customers, and the time between first and second order, show how well the store builds a loyal base. Common mistake: comparing a month's returning customers with a month that had a very aggressive offer.
6. Refunds and returns
Calculated as: refunds divided by sales, but what matters most is the breakdown by product. How to read it: a spike on a single item usually points to a quality, sizing or description problem; a broad increase points to something more general, such as delivery times or wrong expectations. Common mistake: looking only at the store-wide average, which hides the problem product.
7. Traffic sources
Measures: where sessions and orders come from: search, social, email, ads, direct. How to read it: it connects the store to marketing. A source that brings lots of visits but few sales is not automatically a problem, but it deserves a question: is it the right audience? Common mistake: judging a source by visits alone, without looking at orders and average order value.
Where to find the numbers in Shopify
In the Shopify admin you find sales, orders, customers and products in the Analytics section, and reports on conversion, traffic sources and refunds among the dedicated reports. Which reports are available, and what they are called, depends on your Shopify plan. The practical limit is that they sit on separate screens: to put sales, products, customers and refunds side by side, many teams export and rebuild everything in a spreadsheet each week. That is where a dashboard that gathers them in one place saves time.
A fifteen-minute weekly review
Numbers matter if they lead to a decision. A simple format for looking at them every Monday:
- Minutes 0-3: the three headline numbers (sales, orders, average order value) against the week before.
- Minutes 3-8: the metric that moved the most. Why? Use the table above to decide what to check.
- Minutes 8-12: products and customers: what sells, what comes back, who buys again.
- Minutes 12-15: at most two actions, each with an owner and a date.
Three questions are enough to run the meeting: what changed, why, and what do we do. If nothing changed this week, the meeting ends early.
Three ways to get a Shopify dashboard
| Option | Good for | Watch out for |
|---|---|---|
| Shopify's built-in reports | A single store and standard questions | Combining several channels or sources is hard |
| Spreadsheets or a BI tool you build yourself | Full control over what you show | Setup time, and someone has to maintain it |
| A ready-made dashboard | Getting a clear view quickly, with automatic reports | Less flexible than something built from scratch |
If you start with Shopify's reports and later need more, you don't throw anything away: the questions stay the same, only the view changes, and it updates itself.
How reading data changes when you can ask it questions
A dashboard answers the questions someone planned in advance. The trouble is what happens next: you see that conversion rate has dropped and a question comes up that the view doesn't answer. With a tool you can ask in plain language, the next step is immediate. For example:
- Which products have the highest refund rate in the last 30 days?
- How have sales changed compared with the same period last month?
- What is the average order value for new versus returning customers?
- Which products are declining compared with the previous month?
It changes how you work: instead of building a report for every doubt, you start from the summary view and dig in with a question. A common-sense rule still holds: an automatically generated answer should be checked, especially before an important decision. Compare it with the dashboard and with the data in Shopify.
Where Opalca View fits
Opalca View is a set of ready-to-use dashboards for sales, products and customers, with automatic reports. You connect your Shopify store and the dashboards are there, without building them. The Growth and Enterprise plans also include Ask Opalca: you ask your data questions with AI and get a chart and a reading of the numbers, based on your store's data refreshed at the frequency of your plan. More connectors are on the way.
Have a question or want to talk it through? Contact us. You can see the plans on the Pricing page.
Keep reading
- Ecommerce KPIs: the 10 metrics that matter and how to read them
- Shopify reporting: how to automate your store reports
Frequently asked questions
What is a Shopify dashboard?
It is a screen that shows the key figures of a Shopify store, such as sales, orders, average order value and customers, in one place and updated automatically.
Which metrics matter most for a Shopify store?
Start with sales and orders, average order value, conversion rate, best sellers, new versus returning customers, refunds and traffic sources. More than any single metric, what matters is reading them together.
How often should I check them?
Sales, orders and conversion every week. Returning customers, refunds by product and traffic sources make more sense over longer periods, usually monthly.
Do I need a separate tool if Shopify already has reports?
Not always. Shopify's reports work well for a single store and standard questions. A dedicated dashboard becomes useful when you want one view that updates by itself or combines several sources, and a tool you can ask questions when you want to dig deeper without building a new report each time.
How reliable are an AI's answers about my data?
They are useful for getting oriented and digging in quickly, but they are generated automatically. Check them against the dashboard or the data in Shopify before making important decisions.