Price drop flow teardown.

A price drop flow tells a shopper who showed interest in a product that its price has gone down. It triggers on a price change event for products the person viewed or saved, sends one concise alert, and exits on purchase. Used sparingly it feels helpful; used constantly it teaches people to wait.

Trigger and filters.

Price Drop event, generated by a catalogue update or a custom event, matched against profiles that viewed, carted or saved the item.

• Flow filter: has not purchased the product since the price changed
• Trigger filter: the price reduction is meaningful, not a tiny adjustment
• Trigger filter: not sent a price alert in the past several days
• Flow filter: the item is still in stock

Sequence and timing.

1. 1. Email one: the price has dropped (Shortly after the price change)

   Show the item, the old and new price in words and a clear button.

2. 2. Email two: last chance at this price (3 days later)

   Only if the sale end date is known and the shopper has not clicked.

3. 3. Check price still lower (Before each send)

   Use a conditional split on the current price so a reversed change never sends a stale alert.

4. 4. Cooldown period (A few days after the last alert)

   Stop the same person receiving a run of alerts across several products.

Branch logic.

• Conditional split on how the shopper engaged: carted items get a stronger message than merely viewed ones
• Split on profile frequency, so people who received an alert recently are skipped
• Split on product margin or campaign type, so permanent price changes are handled separately from sales

Copy outline.

• Price drop

  Product image first, one line on why it dropped, no countdown theatre, a button to the product.

• Last chance

  Say plainly when the price ends and what similar items cost, if relevant.

• Alternative

  If the item has sold out or the price rose again, point to a comparable product with a short reason.

What to watch.

• Conversion to order for each alert, compared with browse abandonment
• Repeat alert recipients, a sign of discount waiters
• Margin impact reported by finance, not just attributed revenue
• Unsubscribe rate on this flow

Common mistakes.

• Alerting on every tiny price change
• Reusing the flow for promotions that should be campaigns
• Sending to people who bought at the higher price recently
• Showing stale prices because the feed updates slowly

This is a starting structure, not a promise of results. Timing and offers depend on your product, your repurchase window and your list, so test and adjust.

Want this built and tested for you? See our klaviyo email marketing service or book a free audit.