Setup
- Log in to your Klaviyo account
- Go to Settings → API Keys
- Copy your Public API Key (starts with
pk_) - In storekit, go to Settings → Integrations
- Paste your Klaviyo Public API Key
- Save changes
Tracked Events
The integration automatically tracks customer behaviour on your store:Active on Site
Triggered when a customer visits your store.| Property | Description |
|---|---|
AccountId | Your storekit account ID |
VenueId | Store ID |
VenueSlug | Store URL slug |
Viewed Product
Triggered when a customer views a product.| Property | Description |
|---|---|
ProductId | Product ID |
ProductName | Product name |
ProductPrice | Product price |
ProductImage | Product image URL |
Added to Cart
Triggered when a customer adds an item to their cart.| Property | Description |
|---|---|
ProductId | Product ID |
ProductName | Product name |
ProductPrice | Product price |
ProductImage | Product image URL |
Started Checkout
Triggered when a customer begins the checkout process.| Property | Description |
|---|---|
Currency | Order currency code |
Value | Cart total value |
Customer Identification
When a customer enters their email at checkout, they are automatically identified in Klaviyo. This links their browsing behaviour to their profile.Order Data
When an order is completed, storekit sends complete order data to Klaviyo including:- Customer details (name, email, phone)
- Order items and quantities
- Order total and discounts
- Fulfillment method
- Marketing consent status
Use Cases
Abandoned Cart Emails
Create flows triggered by “Started Checkout” without a subsequent order:- In Klaviyo, create a new Flow
- Set trigger to “Started Checkout”
- Add a time delay (e.g., 1 hour)
- Add condition: has not “Placed Order” since starting flow
- Send recovery email with cart contents
Browse Abandonment
Re-engage customers who viewed products but didn’t purchase:- Create flow triggered by “Viewed Product”
- Add time delay
- Exclude customers who placed an order
- Send personalised product recommendations
Post-Purchase Campaigns
- Thank you emails
- Review requests
- Reorder reminders
- Cross-sell recommendations
Customer Segmentation
Build segments based on:- Purchase frequency
- Average order value
- Product categories purchased
- Time since last order