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For a welcome flow that only triggers for first-time subscribers (not people who resubscribe), you have a few options depending on your flow setup:
For List-Triggered Welcome Flows
The good news: List-triggered welcome flows already work this way by default. According to How to create an email welcome series, "someone can only receive messages in a list-triggered flow once. This means if someone subscribes, goes through your welcome flow, and then unsubscribes, they will not receive these messages again if they resubscribe later."
So if you're using the "Added to List" trigger, you're already set.
For Segment-Triggered Welcome Flows
If you're using a segment-triggered flow instead, you'll want to:
- Set the Re-entry criteria to "No re-entry" in your flow trigger settings
- This ensures profiles enter the flow only once, which is perfect for welcome series
The segment- or list-triggered flow documentation confirms that "No re-entry" is specifically designed for welcome series and compliance notifications.
Best Practice Recommendation
Use a list-triggered flow ("Added to List") rather than segment-triggered for welcome series. It's more reliable, triggers faster, and has the one-time-only behavior built in automatically.
From our experience: List-triggered flows are also easier to troubleshoot and have more predictable timing than segment-triggered flows for welcome sequences.
Flows sending at unexpected times usually happens for a few key reasons:
Most Common Causes
1. Time delay settings aren't configured properly Your flow delays might be set to send immediately after the trigger or at times that don't align with your audience. How to add a time delay to a flow shows you can choose "Delay until a specific time of day" to normalize when people receive messages.
2. Timezone issues If you haven't set flows to use "Recipient's Local Timezone," everyone gets messages based on your account's timezone. This means someone in California might get your 9 AM email at 6 AM their time. You can fix this in your time delay settings by selecting "Recipient's Local Timezone."
3. Trigger timing creates weird send times By default, flows send based on when someone triggered them. If someone abandons their cart at 2 AM, they'll get your follow-up email exactly 24 hours later at 2 AM (unless you've set specific send times).
How to Fix It
- Edit your flow's time delay components
- Choose "Delay until a specific time of day"
- Select your preferred send time (like 10 AM)
- Set timezone to "Recipient's Local Timezone"
From our experience: The "weird times" are often just reflecting when people actually engaged with your site. If you want consistent send times, always use the "specific time of day" option rather than simple hour/day delays.
For SMS flows, also check your quiet hour settings — How to change your quiet hour settings for SMS flows explains how to prevent sends between 9 PM and 8 AM in recipients' local time.
To segment by predicted CLV in Klaviyo, follow these steps:
Creating a Predicted CLV Segment
- Navigate to segments in your Klaviyo account
- Create a new segment and use the "Predictive analytics about someone" condition
- Select "Predicted Customer Lifetime Value" from the available CLV metrics
- Set your desired value and operator (greater than, less than, equals, etc.)
How to segment by customer lifetime value (CLV)
Practical Examples
High-value prospects: Create a segment where predicted CLV is greater than $100 to identify customers likely to spend more over their lifetime.
Budget shoppers: Target customers with predicted CLV of $10 or less for sale-focused campaigns, as shown in Klaviyo's SMS budget shoppers example.
Recommended SMS segments reference
How to Use These Segments
Once created, you can:
- Send targeted campaigns to different CLV tiers
- Build segment-triggered flows (like VIP welcome series for high predicted CLV)
- Export segment data to analyze projected revenue
From our experience: Start with broader CLV ranges first to see your distribution, then create more specific segments based on your actual customer data patterns.
Want to go deeper? Mitigate churn with predictive insights and custom CLV — Quick guide
> why not just search klaviyo's help center?
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> is it actually accurate?
| 90% on a 58-question eval set, re-run on every index refresh. every answer is cited to the exact source so you can verify in one click. when ask k is less than 65% confident, it says so instead of hallucinating an answer.
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> who built this, and why is it free?
| retencity — a klaviyo master platinum partner. we run lifecycle programs for 8- and 9-figure brands and we kept ctrl+f-ing klaviyo docs during client work. we built ask k for our own team. sharing it is marketing. we'd rather earn your attention this way than buy it.
▸ built by retencity
klaviyo master platinum partner
we run lifecycle programs for 8- and 9-figure consumer brands. the team uses ask k every day during client work. if it helps you, great. if you’d rather talk to a human, we’re here too.