Skip to main content

Breakdowns

When your orders arrive: by date, by weekday, and by hour of your shop's clock.

90 second readAppears on: /shopify/buying-time

The tables

Timing is the one lever that costs you nothing to pull — no new product, no extra budget. This page tells you when your money actually arrives, and when you are paying too much for it.

All three tabs carry Total SalesTotal SalesYour true top line and the anchor for every efficiency metric., % Total Sales% Total SalesShows how important this segment is to overall revenue., OrdersOrdersA simple, powerful demand signal; watch its trend., AOVAOVYour average order size, and a direct lever on revenue., AOQAOQAverage basket size across your orders.2.5 or more is healthy and % Discounts% DiscountsHow much of your revenue is given back as markdowns.Under 8% is healthy.

None of them opens sorted by sales. All three sort by time, so your first click is usually on a column header.

Date

Use this to check whether your best day was really a good day, or one large order wearing a disguise.

One row = one calendar day, in your shop's own time zone. Oldest day first.

It also shows % Returning Customers% Returning CustomersYour retention pulse and the engine of durable growth.30% or more is healthy and % New Customers% New CustomersHow well you're bringing in new buyers.70% or more is healthy. This tab has no % △ columns and no Compare — nothing on it is measured against a previous period.

How to scan it

  1. Click Total Sales to sort, highest first.
  2. Look across your best days at Orders and AOV.
  3. The day that matters: top Total Sales built on AOV rather than Orders. That is one large order, not a good day — check it before you copy whatever you did.

Day of Week

This is the tab that decides which day gets the email, and shows which day you are paying for in discounts.

One row = one weekday. Seven rows, in week order, and the page size is fixed so all seven stay on screen.

Same customer columns as Date, but here every metric carries a % △ except % Total Sales.

How to scan it

  1. Sort by Orders, highest first.
  2. Look across at AOV and % Discounts.
  3. The day that matters: your busiest day also carrying your highest % Discounts. That is the day you are paying for.

Hour of Day

Here you find the hours worth raising budget on, and the busy hours where the basket is too small.

One row = one hour of your shop's clock, 00 through 23, in order.

This tab counts orders rather than people: it shows % Returning Orders% Returning OrdersShows how much of your order volume depends on loyal customers. and % New Orders% New OrdersIndicates how much order volume is driven by newly acquired buyers. where the other two tabs show customers.

How to scan it

  1. Sort by Orders, highest first.
  2. Look across at AOV.
  3. The hours that matter: a run of busy hours whose AOV sits under your daily average. That is where a bundle or a free-shipping threshold earns its keep.

Filters

The date range does more than trim this page. It decides which rows exist at all, not only what they hold.

Date Range decides which rows exist on Date, and which days are folded into Day of Week and Hour of Day.

Previous period feeds the % △ columns on Day of Week and Hour of Day. It changes nothing on Date.

The Filters button opens Country, Customer Type and Order Source. The dialog notes that source and customer type apply only to Shopify orders.

The chart switch caps how many rows can be plotted at once: 400 on Date, 24 on Hour of Day, 10 on Day of Week. Metrics cap at 3 and start on Total Sales.

Compare appears in chart view on Day of Week and Hour of Day only. Search and Export are on all three.

Watch out for

Hours and weekdays are your shop's time zone, taken from when the order was placed. An evening peak is evening where your store is set, not where the buyer is.

Date carries no comparison at all — no % △ columns, and no Compare box in chart view. To compare dates you have to move the Date Range itself.

Date and Day of Week count customers; Hour of Day counts orders. The columns look alike and are not the same measure, so never read one against the other.

% Total Sales is a share of the rows in the table. On Date that means a share of the days you selected, so a shorter range makes every single day look bigger.

If your range ends today, the last row on Date is a part-day and will always look weak. Read it as unfinished, not as a drop.

Typing in Search hides the totals row instead of recalculating it.

Do this first

Open Day of Week, sort by Orders, and note your busiest day.

Then open Hour of Day and sort the same way. The busy day and the busy hours together tell you when to send the email and when to raise budget — either one on its own does not.

See yoursYour sales by date, by weekday and by hour, for the range you have selected.

Open Breakdowns