Time patterns are calculated from your order timestamps. The more order history you have synced, the more reliable the patterns will be. At least 90 days of data is recommended for meaningful insights.
Key Metrics
- Peak Hour — The hour of day when the most orders are placed.
- Peak Day — The day of the week with the highest order volume.
Charts and Tables
Hourly Distribution Donut
A donut chart showing how orders distribute across the 24 hours of the day. Segments are sized proportionally to order volume, making it easy to see your busiest and quietest hours at a glance.Daily Distribution Bar Chart
A bar chart showing order volume for each day of the week (Monday through Sunday). Most e-commerce stores see distinct patterns — knowing your peak days helps you time promotions and ad spend.Monthly Distribution
A chart showing order volume by month over the past 12 months. This reveals seasonal trends, holiday spikes, and any long-term growth or decline patterns.Busiest and Slowest Insights
Plain-language summary cards highlighting your busiest and slowest periods with specific numbers. For example: “Your busiest hour is 8 PM with an average of 42 orders. Your slowest hour is 4 AM with an average of 3 orders.”What to Do with This Data
- If you have clear peak hours — Schedule email campaigns and social posts to land 30-60 minutes before peak buying times. This primes customers right when they are most likely to purchase.
- If weekends are significantly slower — Consider weekend-specific promotions or flash sales to boost off-peak revenue.
- If you see seasonal spikes — Plan inventory, content updates, and marketing campaigns well ahead of your historically strong months. Start preparing at least 4-6 weeks in advance.
- If order volume is evenly distributed — You do not have extreme peaks, which means consistent demand. Focus on steady improvement rather than peak-time optimization.