Why are so few people getting my abandoned cart email?

A trigger or flow filter is usually excluding them. A rule that skips anyone who has ever placed an order removes every past customer from the flow.

Should people who already bought get the email?

No. Anyone who finished the order within the hour should be skipped. The count that matters is shoppers who started checkout and never bought. Those people need the email most.

Does this prompt need Claude?

No. ChatGPT, Grok, Muse or any assistant with access to your Shopify checkouts and Klaviyo flow numbers, live or exported, can run it. The method is the same in each.

How often should I check my flow filters?

Monthly, and after any edit to the flow. Filters change quietly when someone copies or rebuilds a flow. A quick monthly check catches a bad filter before it costs a full quarter of recovered carts.

All playbooks

Stop losing money · Leak

A flow filter skips real shoppers

1,400 people started checkout last week. How many got your email?

When few shoppers get your abandoned-checkout email, a flow filter is often skipping them, such as a rule that excludes anyone who ever ordered. Connect Shopify and Klaviyo to Claude and ask it to compare checkout starts with flow entries and first-email sends. If fewer than half get it, Claude names the rule to loosen or fix.

1
Connect
- Klaviyo
- Shopify
2
Ask
How many people started a checkout last week in Shopify? How many of them entered my abandoned-checkout flow in Klaviyo, and how many got the first email? If fewer than half got it, show me the flow's trigger and filters and tell me which rule is excluding them.
Paste this into Claude, ChatGPT, Codex or Cursor.
3
Act
Loosen or fix the filter. A common cause is a 'has placed an order ever' rule that skips every past customer.

What it tends to findExample

1,400 started checkout. 90 got the first email.

Watch out

People who bought within the hour should be skipped. Count only those who never finished.

Step by step

01Connect Shopify and Klaviyo read-only, through a Claude connector or MCP server if you have one, or upload checkout and flow exports.
02Run the prompt to compare last week's checkout starts with flow entries and first-email sends.
03Count only shoppers who never finished; people who bought within the hour should be skipped.
04Loosen or fix the filter that excludes real shoppers, such as a 'has placed an order ever' rule.
05Re-run the check monthly.

Questions

Run these next

Every number on these pages is an illustrative example, not a result from a named store. Read-only access is enough for every check; make any change yourself.

See where your funnel leaks

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