"Analytics" can sound like something for large companies with data teams. For a small online store, it is much simpler: a handful of numbers that tell you what needs doing today, and a few more that tell you whether the business is moving in the right direction.
This article explains how to think about analytics in a small store, which numbers matter, and how RedCart puts them in front of you.
Two kinds of questions
Store analytics answers two different kinds of questions, and it helps to keep them apart.
Operational questions, every day:
- How many orders are waiting to be packed or shipped?
- Are there products still in draft that should be live?
- Did anything unusual happen since yesterday?
Performance questions, every week or month:
- How much did we sell this month compared with last month?
- How many customers do we have, and how many come back?
- Where do our visitors come from, and how many of them buy?
The first kind needs a quick glance. The second kind needs a short, regular review.
The daily view: the RedCart dashboard
When you open your store's cabinet, the RedCart dashboard shows a short set of counts:
- Products, and how many of them are published.
- Orders in total and orders this month.
- Orders awaiting fulfilment, meaning orders with the status paid or packed.
- Customers, the number of buyers in your store.
- This month's revenue in your default currency.
The dashboard reads these numbers directly from your store's data each time you open it, so they are always current. The sidebar also shows live counts next to products and orders, and a badge disappears when its count is zero, so it only draws your eye when there is something to do.
How to read the dashboard in a minute
- Orders awaiting fulfilment. This is the number to act on first. If it is higher than you can ship today, plan the day around it.
- Published vs total products. A gap means drafts are waiting. Either finish them or archive them.
- Orders and revenue this month. A quick sense of how the month is going.
- Customers. A steady rise means your store is reaching new people.
Traffic: where your visitors come from
Your store data tells you what people bought. Web analytics tells you how they got there and what they did before buying. RedCart lets you connect three common services by entering only their ID:
- Google Analytics 4 (the ID that starts with G-),
- Yandex Metrica,
- Meta pixel.
The storefront adds the official snippet for each ID you enter. Pasted scripts or HTML are not accepted, by design, so no stray code can break your pages or run something nobody meant to add.
With traffic data in place you can calculate conversion rate, one of the most useful numbers for any store:
Conversion rate = orders ÷ visitors × 100%
Simple numbers you can calculate from what you see
You do not need a special report to get valuable figures. A few simple formulas turn dashboard counts into insights.
Average order value = revenue this month ÷ orders this month
Share of products live = published products ÷ total products × 100%
Revenue per customer = revenue in a period ÷ customers who ordered in that period
Example with made-up round numbers
Example: on the last day of the month the dashboard shows revenue of 4,800 and 120 orders this month. Average order value is 4,800 ÷ 120 = 40. Your analytics shows 4,000 visitors this month, so the conversion rate is 120 ÷ 4,000 = 3%.
Write these figures in a simple table each month. After three months, you will see trends that a single number never shows.
Customer and operations data in the same place
Because RedCart keeps catalog, orders, stock and customers in one shop database, the numbers on the dashboard match what you see everywhere else:
- each customer card shows the buyer's orders and addresses, which makes it easy to spot repeat customers;
- each order has a status history, so you can see when it was paid, packed, shipped and received;
- stock has a movement log per warehouse, so a sale, a return or a correction is always traceable;
- returns are recorded against the order and restocked into the warehouse you choose.
There is no export from one tool and import into another, and no chance that two tools disagree.
A simple analytics routine
Every day (2 minutes):
- Check orders awaiting fulfilment and plan shipping.
- Glance at the sidebar badges for anything new.
Every week (15 minutes):
- Note orders and revenue so far this month.
- Check visitors and conversion rate in your web analytics.
- Look at new customers and anyone who placed a second order.
- Review returns and the products they came from.
Every month (30 minutes):
- Record revenue, orders, average order value, customers and conversion rate.
- Compare with the previous months.
- Decide one thing to improve next month.
Common mistakes
- Collecting data without a question. Decide what you want to know first.
- Reacting to one day. Small stores have noisy days; trust weeks and months.
- Forgetting privacy. Analytics and advertising pixels use personal data. Make sure your privacy and cookie pages describe them, and ask for consent where required.
Summary
For a small store, good analytics means a clear daily view of what needs doing and a short regular review of how the business is moving. RedCart's dashboard covers the first, and dashboard counts plus web analytics connected by ID give you everything for the second.
If you would like to see the dashboard on your own store, create a RedCart account.