Is “45 days since last purchase” enough for a win-back segment?
I’m testing a simple question around win-back segmentation:
If a product normally has a 30–45 day reorder cycle, is “45 days since last purchase” enough to decide that a customer should enter a win-back flow?
I’m finding that the same lapsed window can represent very different situations:
• genuinely overdue
• naturally low-frequency
• stockpiling after a large order
• seasonal purchasing
• recently engaged but not ready
• previous support issue
• little current buying intent
So I’m considering combining:
1. Product-specific reorder behavior
2. Purchase frequency
3. Recent clicks / site activity
4. Previous support interactions
5. Order-size anomalies
Then testing different actions by group rather than giving everyone the same discount.
Curious how others handle this in Klaviyo:
Do you use a fixed “days since last purchase” rule, or combine it with product/customer behavior?
