Time Between Orders Report
The Time Between Orders report in Lifetimely helps you understand how long it typically takes customers to make a repeat purchase. This insight is critical for refining your win-back campaigns, retention strategy, and post-purchase automations.
What the Report Shows
This report visualizes the time lag between repeat orders, grouped into time buckets (e.g. 0-4 days, 5-9 days, 10-14 days, etc.). You'll see:
- Blue bars showing the % of repeat orders made within each time window
- Pink line showing the cumulative % of repeat orders over time
- The average time between orders displayed in the top-right corner
Data from customers who have only purchased once is excluded.
Using Order Frequency
Use the "Order frequency" dropdown to choose which repurchase events to analyze:
- 1st to 2nd order – Only shows the time lag between a customer's first and second purchase
- 2nd to 3rd order – Time between a customer’s second and third purchase
- 3rd to 4th order – Time between a customer’s third and fourth purchase
- All repeat orders – Includes all repeat purchases after the first, showing the overall delay between repeat transactions
Adjusting Granularity
Use the "Granularity" menu to group time lags into buckets of:
- 5 days
- 10 days
- 30 days
This helps you zoom in or out depending on your analysis window.
Filters & Time Period
You can filter the report by:
- Time period (e.g. last 90 days, custom date ranges)
- Product, tags, channels, surveys, and other prefilter dimensions
- Saved cohorts or segments
These filters help you drill into specific customer journeys and retention patterns across product lines or campaigns.
How to Use This Report for Growth
Use the Time Between Orders report to:
- Identify re-order cycles – Understand how long most customers take before buying again
- Pinpoint retention gaps – Spot drop-offs in reorders after a specific time window
- Trigger win-back automations – Time your Klaviyo or email flows around key drop-off periods (e.g. after 30, 60, or 90 days)
- Refine post-purchase timing – Adjust upsell and loyalty emails to match customer behavior
Tip: Most brands see 80% of repeat purchases happen within the first 90 days. Use this window to guide retention benchmarks.
Tips & Best Practices
- Click the labels above the chart to toggle visibility for "% of repeat orders" or "Cumulative % of repeat orders".
- Start win-back campaigns slightly after the point where cumulative repurchase growth slows (e.g. after 60 or 90 days).
- Run tests using discount ladders and different offers to optimize response rates.
- A good win-back campaign typically sees a 10–15% response rate.
Why This Report Matters
Looking at revenue or ROAS alone doesn’t tell the full story. This report reveals:
- Which products build loyalty and drive repurchase behavior
- Where customer retention is slipping
- When to intervene with offers, content, or support
Use it to grow smarter—not just harder.
Need help building retention campaigns based on this data? Reach out to our support team or check out our Klaviyo integration guides:
Connect your Klaviyo account to Lifetimely