Email platform implementation
Klaviyo flow development
Klaviyo describes a flow as a sequence of automated actions, such as sending messages, triggered by a behaviour or event. Building flows well means choosing the right trigger, deciding who should and should not enter, setting sensible delays, writing messages that fit the moment, branching where behaviour differs and testing every path before switching on. Klaviyo lists trigger types including list, segment, metric, date property, price drop and low inventory, and suggests a welcome series, abandoned cart, post-purchase and winback as first flows. Once running, flows should be judged on the orders and customers they bring, checked against your shop's own records.
This page covers triggers, filters, timing, the core flows, branching, testing and measurement. Check Klaviyo's help for current features. LetGetGrow sets up and manages Klaviyo and Mailchimp, including flows, templates, integrations and migrations, with the scope, cost and timeline set out in a custom quotation.
Illustrative diagram
Klaviyo flow
- Trigger
- List or segment
- Metric or date
- Filters
- Who enters
- Exit conditions
- Messages
- Delays
- Branches
- Measurement
- Attributed revenue
- Shop orders
Trigger types
| Trigger | Starts when | Example flow |
|---|---|---|
| List | Someone joins a list | Welcome series |
| Segment | Someone enters a segment | Lapsed customer winback |
| Metric | An event happens | Abandoned checkout, post-purchase |
| Date property | A date arrives | Birthday or renewal reminder |
| Price drop | A viewed product's price falls | Price drop alert |
| Low inventory | Stock runs low | Back-in-stock or low stock alert |
Who enters and who leaves
Flow filters decide who should not enter or should leave part-way. An abandoned checkout flow should stop for someone who completes their purchase; a winback flow should not reach someone who bought last week. Set these conditions deliberately and test them, because a flow that keeps reminding people who already bought undermines trust.
Core flows
Welcome series
After someone subscribes.
Output: Introduction and first purchase
Abandoned checkout
After Checkout Started without an order.
Output: Recovered orders
Post-purchase
After Placed Order.
Output: Care, reviews, repeat purchase
Winback
After a period without buying.
Output: Returning customers
Extras
Price drop, low stock, dates.
Output: Targeted reminders
Timing
Delays matter. An abandoned checkout reminder minutes later can feel intrusive; one a week later may be too late. Post-purchase emails should arrive when they are useful, such as care instructions after delivery rather than before. Base timing on how long your customers usually take to decide and receive orders, and test alternatives.
Example: a post-purchase flow for a plant shop
Illustrative example — not a client case study
Situation: A plant shop wants fewer unhappy customers and more repeat orders.
- The flow starts on Placed Order and waits until the order is likely delivered before sending care instructions.
- A branch sends different advice for indoor and outdoor plants, based on the products ordered.
- A later email suggests related products; anyone who places a new order leaves the flow.
What this shows: Customers got useful help at the right time. This example is illustrative.
Flow development checks
Logic
- Trigger matches the moment
- Exit conditions set
Content
- Message fits the stage
- Links and products correct
Testing
- Every branch tested with events
- Consent respected
Branching
Branches send different messages based on behaviour or profile data: first-time buyers versus repeat customers, one product category versus another. Use them where the difference matters to the customer, not just because the tool allows it. Each branch is another path to test.
Consent and message type
Marketing flows should reach only people who have agreed to marketing or meet the soft opt-in conditions under ICO guidance. Order confirmations and similar service messages are different, but adding promotional content can turn them into marketing.
Measuring flows
Klaviyo attributes revenue to flows using its own rules. Compare with orders in your shop and watch for flows that claim credit for purchases that would have happened anyway, such as post-purchase emails to loyal customers.
The welcome series
Klaviyo's help says a welcome series is triggered when someone subscribes to your newsletter. It is the first impression of your emails. A short series that explains what you offer, what makes you different and what to expect from future emails usually serves better than an immediate hard sell. If you use double opt-in, Klaviyo notes only confirmed subscribers are queued for the welcome series.
Testing every path
Use a test profile to trigger the flow, then follow each branch: buying partway through, not opening, belonging to different segments. Check each email on a phone and in a common email app, click every link, and confirm delays behave as expected. Switch the flow on only when every path has been seen.
Reviewing running flows
Look at each flow every few months: are people still entering, are emails being opened and clicked, and are orders following? Products change, links break and offers expire, so flows need maintenance like any other part of the shop.
Questions about Klaviyo flow development
What is a Klaviyo flow?
An automated sequence triggered by a behaviour or event.
Which flows should we build first?
Welcome, abandoned cart, post-purchase and winback.
What triggers can flows use?
List, segment, metric, date property, price drop and low inventory.
Why set exit conditions?
So buyers stop receiving reminders.
How should flows be tested?
Trigger every branch with real events.
How are flows judged?
On orders, checked against your shop's records.
Sources referenced
Platform features, guidance and rules change. We check the current versions before committing to an approach. This page is general information, not legal advice.
- Klaviyo Help: Getting started with flows (opens in a new tab) — reviewed 2026-10-31
- Klaviyo Help: Shopify data reference (opens in a new tab) — reviewed 2026-10-31
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