Create drip campaigns that convert with automated flows

Klaviyo’s automated flow templates feature built-in split logic, so you can set up more relevant subscriber experiences quickly, no backend configuration necessary.

Klaviyo’s template library includes 60+ automated flows. Here are a few example of the built-in split logic for each:

Welcome series

• Split by customer vs. non-customer
• Split by channel: email, SMS, and push notification
• Offer a first purchase discount reminder
• Offer a unique discount with reminder

Abandoned cart reminder

• Send email and/or SMS messages
• Split by domestic vs. international
• Split by cart size

Post-purchase follow-up

• Split by order count
• Send an offer after the first purchase
• Request product reviews and send a reward for reviewing

Browse abandonment

• Split by customers who viewed few products vs. customers who viewed many
• Price drop and back-in-stock reminders
• Email and SMS price drop alert
• Out of stock reminders

Email, SMS, and push notifications are just the beginning. Use webhooks to trigger real-time processes in any other tool in your tech stack that you’ve integrated with Klaviyo. Webhooks send real-time information to an external system of your choice, so you can automate everything from loyalty points to direct mail.

Klaviyo makes it easy to use split logic to split a flow into multiple parallel branches. Each split sorts recipients into more focused audiences, so you can send each group down the right path and deliver more relevant experiences.

Conditional splits let you shape experiences based on specific characteristics of each recipient. You can use conditional splits to create more personalised experiences by splitting recipients into groups based on:

• Actions a person has or hasn’t taken (I.e., viewed a product, total spending, etc.)
• Subscriber data
• Location
• List membership
• Predictive analytics
• Random sample (for A/B testing)

Trigger splits tailor each recipient’s experience based on data about the specific action, event, or milestone that triggered the flow. As a result, trigger splits are only available for some flows.

Depending on the flow trigger, you may be able to personalise experiences based on data such as:

• Cart value
• Product category
• SMS keyword response
• Acquisition source

Learn more about split logic by reading this help centre article on flow branching.

You can use conditional splits to split one flow into multiple paths that provide tailored experiences for different groups of subscribers. Each conditional split follows a condition you create to group people based on their subscriber data or activity.

Use conditional splits to group your flow recipients according to factors like:

• Actions a person has or hasn’t taken (I.e., viewed a product, total spending, etc.)
• Profile characteristics
• Location
• List membership
• Predictive analytics
• Random sample (for A/B testing)

Learn more by reading this help centre article on conditional splits.

You can use trigger splits to deliver more personalised experiences based on data from certain flow triggers, such as order placement, product shipment, cart abandonment, and browser abandonment. Trigger split options vary based on the flow trigger.

Depending on the flow trigger, you may be able to personalise experiences based on data about:

• Cart value
• Product category
• SMS keyword response
• Acquisition source

Learn more by reading this help centre article on trigger splits.