Sales Analytics

Overview

• Sales Analytics is the main recognised-sales summary.
• Summary cards include Net sales, Gross sales, Refunds, Discounts, Surcharge, GST/tax, Orders, Average order value, Items sold, and Customers where available.
• The page also shows a sales trend, payment mix, and Store summary.
• Managers with aggregate access can compare Stores; Store-scoped managers remain limited to their permitted Store.
• CSV export follows the selected date/Store/timezone/weekday filters.

When to use this

• Use Sales Analytics as the default period-level answer to 'how much did we sell?' before moving into more specialised product/channel/customer reports.

Step-by-step

1. Choose date range and Store/scope.
2. Optionally filter weekdays.
3. Start with Net sales and Refunds.
4. Review Gross sales/Discounts/Surcharge/GST for composition.
5. Use Payment mix and Store summary to explain differences.
6. Export CSV for further analysis.

Common mistakes

• Do not use Gross sales when you mean revenue after approved refunds.
• Do not use Average order value without checking whether the comparison period has similar channel/payment composition.
• Do not add payment-method Net amounts to Net sales if they already represent the same recognised revenue.

Troubleshooting

• If Sales differs from a bank deposit, remember deposits/marketplace settlements occur on different dates and include fees.
• If one Store is absent, verify Store scope and whether it had recognised payments in the range.