Daily Sales

At a glance

• Daily totals: the total revenue for the selected day.
• Order count: number of orders placed on that day.
• Trend comparison: previous year/day comparisons are shown alongside the selected date where available.

Chart overview

The main chart plots sales across the day. Typical behaviour:

• X axis: time (hours of the day) of the selected day.
• Primary series (bars): sales value for each time bucket.
• Secondary series (line): number of orders per bucket.
• Hovering a bar/point shows the exact value and order count for that interval.

Filters and controls

• Date selector: pick the day to view.
• Export: you can download the chart data or the underlying order table as CSV from the top-right menu.

Table below the chart

Under the chart there's a table listing orders that contribute to the day’s totals. Columns typically include order id, timestamp, value and status.

How to interpret the data (practical tips)

• Spikes in sales: check promotions, email sends or channel activity for matching timestamps.
• High order counts but low revenue: indicates many low-value orders — look at basket size or promotions.
• Persistent drop vs previous period: investigate site traffic, payment failures or checkout funnel issues.

Common use cases

• Quick health check: open the report each morning to confirm orders are processing and revenue is within expectations.
• Promotion monitoring: watch hourly results during campaigns to spot issues early.
• Fulfilment planning: identify peak dispatch hours to staff packing and carriers.

Notes

• Timezone: data is shown in the store timezone — check system settings if numbers look shifted.
• Sampling: very large datasets may be sampled in visualisations; exports contain the raw rows.

Walkthrough: get started quickly