Understanding Best and Worst Day Statistics in Burn Analysis
What the best and worst day statistics in the AskBiz burn rate drill-down panel measure, how they are calculated, and how to act on what they show.
Key Takeaways
- Best day shows the highest net daily financial performance in the selected period; worst day shows the lowest.
- The gap between best and worst day reveals how volatile your daily financial performance is.
- Identifying patterns in your best and worst days guides decisions about pricing, operations, and marketing timing.
What Best Day and Worst Day Measure
Within the burn rate drill-down panel, the Best and Worst Day Statistics section shows two key data points for the period currently selected on the chart (7D, 30D, or 90D). Best Day is the single calendar day within that period when your net daily financial performance was highest — meaning either the largest net gain or the smallest net burn. Worst Day is the calendar day when performance was lowest — the largest net burn or the smallest net gain. These are calculated using actual daily revenue data from your connected store combined with the daily burn rate derived from your cost configuration.
How to Read the Best/Worst Day Figures
Each statistic shows the date, the day of the week, and the net daily figure for that day. For example, a best day reading might show: "Tuesday, 18 March — Net Gain: +$892." A worst day reading might show: "Sunday, 9 March — Net Burn: -$280." The sign and magnitude of these figures tells you a great deal about your revenue volatility. A best day of +$892 and worst day of -$280 means your daily performance swings by over $1,100 depending on the day. This level of volatility indicates that while your average may be acceptable, there are significant low-revenue periods that could become problematic if they cluster together or extend.
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Your best day patterns reveal what your business looks like when it is performing optimally. Reviewing the best day across multiple time periods (7D, 30D, 90D) can help you identify patterns. Do best days cluster on weekdays or weekends? Do they coincide with email campaigns, promotions, or seasonal events? Understanding these patterns allows you to either replicate the conditions that drive best-day performance more consistently, or at minimum to time high-effort activities (like new product launches or promotions) to periods when your business naturally performs well. This information is most useful when reviewed monthly as part of a regular operational review.
Acting on Worst Day Patterns
Worst day patterns identify the conditions associated with low performance. If your worst days consistently fall on a particular day of the week (for example, Monday is always your worst day), that is worth investigating. It might reflect customer buying behaviour, shipping cut-offs, or even gaps in your marketing schedule. If your worst days are random and unpredictable, this points to volatility rather than a structural pattern — which is a different problem requiring revenue stabilisation strategies such as subscriptions, retainers, or diversification. Use the 90-day view to identify whether worst days are improving over time, worsening, or staying flat, as this trend reveals whether your business stability is changing.