Once you start receiving orders, you no longer need to piece together numbers from the payment gateway backend. Kanorio's "Store → Overview" consolidates sales, orders, conversions, and customer segments onto a single page, allowing you to quickly understand your sales performance, identify bottlenecks, and see how you're doing over a specific period.
This differs from the "Analytics" section: Analytics focuses on website traffic (who visits, which pages they view), while the Store Overview focuses on sales results (who buys, how much they buy, where they drop off). Both can be viewed together but serve different purposes.
Numbers are calculated based on your website's set timezone. The currently used timezone is also displayed at the top of the page for easy reference with your reports.
The real-time overview at the top of the page shows today's status, including:
This is useful for quickly checking "if there's any business today" or "if there are orders needing immediate attention."
After selecting a date range, the overview displays several core metrics:
| Metric | Plain Language Explanation |
|---|---|
| Net Sales | The actual amount you've sold after deducting discounts and refunds |
| Orders Completed | The number of orders successfully paid for within the period |
| Average Order Value | The average post-discount amount per completed order |
| Refund Rate | The proportion of total refunds relative to post-discount sales |
If a percentage increase or decrease is shown next to a metric, it represents a comparison to "the previous period of the same length." For example, if you select "Last 30 Days," it will be compared to the 30 days prior. This helps you determine if recent performance has improved or declined, rather than just looking at a single number.
The sales trend graph below displays sales and order volume on a daily basis, making it easy to identify days with particularly good or bad performance.
The conversion funnel breaks down the buyer's journey from visit to purchase into four steps:
The overall conversion rate is "Complete Purchase ÷ Website Visits." Conversion rates between each step are also shown, helping you pinpoint the biggest drop-off points.
Buyers don't always go through every step sequentially. For example, someone might click "Buy Now" directly from the homepage to initiate checkout, potentially without a "View Product" record. It's sometimes normal for earlier steps to have fewer entries than later ones, and it doesn't indicate incorrect data.
The first three steps of the funnel are derived from daily aggregated visit data, which usually updates by early the next morning. The fourth step (Complete Purchase) is calculated directly from orders and is closer to real-time. Therefore, checkout actions that just occurred might not be fully reflected in the funnel until the next day.
If there are pending or disputed orders during a period, the details section will also alert you, preventing you from overlooking outstanding cases by only looking at net sales.
The overview is ideal for understanding overall trends. For per-item reconciliation or accounting purposes, go to:
See for more details.
The first three steps of the funnel (Visit, View Product, Initiate Checkout) are calculated based on daily aggregated data and usually update by early the next morning. "Complete Purchase" is calculated directly from orders and is closer to real-time. If you just completed a test purchase, the initial steps of the funnel might not fully appear until the next day.
The refund rate is "Total Refunds ÷ Post-Discount Sales." Post-discount sales are the total sales minus discounts, before deducting refunds. A higher rate indicates a larger proportion of refunds relative to sales during that period.
Average Order Value is calculated as "Post-Discount Sales ÷ Completed Orders." It reflects the average amount a buyer spends per transaction, before refunds are deducted.
"Analytics" looks at website traffic and page performance; "Store → Overview" looks at sales results and conversions. If you want to know if people are visiting your site, check Analytics first. If you want to know how much you've sold and where customers are dropping off, check the Store Overview.
It can be opened, but most charts will show little to no data. Numbers become more meaningful after you've set up payment processing, listed products, and generated test or actual orders.
