Kibo + Klaviyo
Connect Kibo and Klaviyo for Smarter eCommerce Marketing
Sync your Kibo commerce data with Klaviyo to run personalized, behavior-driven email and SMS campaigns at scale.
Why integrate Kibo and Klaviyo?
Kibo is a unified commerce platform built for complex B2C and B2B storefronts, order management, and personalization. Klaviyo is the email and SMS marketing platform that data-driven eCommerce brands rely on. Together, they cover a lot of ground: Kibo captures every customer interaction, purchase, and order event, while Klaviyo turns that data into targeted campaigns that drive repeat revenue. Integrating the two closes the gap between what your customers do in your store and how you talk to them.
Automate & integrate Kibo & Klaviyo
Use case
Post-Purchase Email Flow Automation
When an order is placed or fulfilled in Kibo, tray.ai pushes the order data to Klaviyo and enrolls the customer in a post-purchase flow. Branded order confirmations, shipping notifications, and review request emails go out without any manual steps. Marketing teams can build rich post-purchase sequences that feel timely because they're running off live Kibo order data.
Use case
Abandoned Cart and Browse Recovery Campaigns
When a shopper adds items to their cart or browses product pages in Kibo but doesn't complete their purchase, tray.ai captures that event and sends it to Klaviyo to trigger a recovery flow. Cart contents, product images, and pricing from Kibo pass directly into Klaviyo so the recovery email is fully personalized. This closes the loop between on-site behavior and your email marketing.
Use case
Customer Profile and Segment Synchronization
Kibo holds rich customer profile data — purchase history, loyalty status, preferred categories, account type. tray.ai continuously syncs this into Klaviyo customer profiles, keeping segments accurate without manual refreshes. Marketing teams can build precise segments in Klaviyo that reflect exactly who the customer is in Kibo today.
Use case
Win-Back and Re-Engagement Campaigns
tray.ai watches Kibo for customers who haven't placed an order within a defined window and automatically adds them to a Klaviyo win-back flow. Custom suppression logic makes sure only lapsed customers who haven't recently engaged receive these messages, protecting deliverability. Brands can set flexible lapse thresholds that match their typical purchase cadence.
Use case
B2B Account-Level Marketing Automation
Kibo's B2B commerce capabilities surface account-level data — company name, contract pricing tier, assigned sales rep — that's genuinely useful for account-based marketing in Klaviyo. tray.ai maps this B2B account data to Klaviyo profiles so communications can be segmented and personalized at the account level, not just the individual contact. This pays off especially for brands running both B2C and B2B channels on Kibo.
Use case
Product Replenishment and Subscription Reminders
For consumable or repeat-purchase products in the Kibo catalog, tray.ai can calculate expected replenishment windows from average order intervals and trigger timely reminder campaigns in Klaviyo. Product details including images, descriptions, and direct purchase links pass from Kibo to Klaviyo so the reminder email is immediately actionable. This drives incremental revenue without any additional acquisition spend.
Use case
New Customer Welcome Series Enrollment
When a new customer account is created in Kibo — whether from a first purchase or a direct registration — tray.ai immediately syncs that profile to Klaviyo and enrolls the contact in a welcome series flow. The welcome flow can be further personalized based on acquisition channel, first product purchased, or customer segment passed from Kibo. Every new customer gets a consistent, on-brand onboarding experience from day one.
Get started with Kibo & Klaviyo integration today
Kibo & Klaviyo Challenges
What challenges are there when working with Kibo & Klaviyo and how will using Tray.ai help?
Challenge
Real-Time Event Delivery from Kibo to Klaviyo
Kibo generates a high volume of order, cart, and customer events across complex multi-site and multi-tenant deployments. Getting these events to Klaviyo with low latency — especially during peak traffic — is technically demanding without a dedicated middleware layer.
How Tray.ai Can Help:
tray.ai's event-driven architecture and scalable workflow engine handle high-throughput webhook ingestion from Kibo and queue events for reliable delivery to Klaviyo. Built-in retry logic means no order or customer event gets dropped, even during traffic spikes.
Challenge
Data Model Mapping Between Kibo and Klaviyo
Kibo's commerce data model — complex order structures, B2B account hierarchies, custom product attributes — doesn't map directly to Klaviyo's profile and event schema. Manual field mapping is tedious and breaks whenever either platform changes.
How Tray.ai Can Help:
tray.ai's visual data mapper and JSONPath transformation tools make it straightforward to define and maintain field mappings between Kibo's commerce objects and Klaviyo's profile and event payloads. Mapping logic is reusable and can be updated centrally when schemas change.
Challenge
Managing Consent and Suppression Across Platforms
Email and SMS consent captured in Kibo at checkout or account registration has to be accurately reflected in Klaviyo to stay compliant with CAN-SPAM, GDPR, and TCPA. Mismatches between opt-in status in the two systems can mean regulatory exposure or unnecessary suppressions that shrink your deliverable audience.
How Tray.ai Can Help:
tray.ai workflows sync consent flags and suppression status bidirectionally between Kibo and Klaviyo in real time. Opt-ins captured during checkout are immediately active in Klaviyo, and unsubscribes in Klaviyo are written back to the Kibo customer record.
Challenge
Handling B2B Multi-Contact Account Structures
Kibo's B2B accounts often involve multiple contacts under a single account record, each with different roles, approval permissions, and purchasing histories. Klaviyo's profile model is primarily contact-based, which makes it hard to carry account-level context into marketing communications without a purpose-built integration.
How Tray.ai Can Help:
tray.ai supports custom logic to flatten or enrich Kibo B2B account data before syncing to Klaviyo, mapping account-level attributes — company name, tier, assigned rep — as custom profile properties on each contact record so account-aware segmentation and personalization works within Klaviyo's model.
Challenge
Incremental Sync Without Duplication or Missed Records
Bulk historical syncs of Kibo order and customer data into Klaviyo can create duplicate profiles, fire redundant flow triggers, or miss records that fall between sync windows. Without idempotent handling, these problems quietly corrupt audience segments and skew flow analytics.
How Tray.ai Can Help:
tray.ai workflows use unique identifiers from Kibo — customer ID and order ID — to upsert Klaviyo profiles and events exactly once, regardless of how many times the sync runs. Duplicates don't accumulate, and records don't fall through the cracks between incremental sync windows.
Start using our pre-built Kibo & Klaviyo templates today
Start from scratch or use one of our pre-built Kibo & Klaviyo templates to quickly solve your most common use cases.
Kibo & Klaviyo Templates
Find pre-built Kibo & Klaviyo solutions for common use cases
Template
Kibo Order Placed → Klaviyo Post-Purchase Flow Trigger
Automatically listens for new order events in Kibo and sends order details — including line items, total value, and customer identity — to Klaviyo to enroll the customer in a post-purchase email and SMS sequence.
Steps:
- Trigger on new order created or order status updated event in Kibo via webhook or scheduled poll
- Transform and map Kibo order payload to Klaviyo event schema including customer email, order ID, and line item properties
- Send a custom event to Klaviyo using the Track Event API to trigger the post-purchase flow
Connectors Used: Kibo, Klaviyo
Template
Kibo Customer Created → Klaviyo Profile Sync and Welcome Series
When a new customer account is created in Kibo, this template creates or updates the corresponding Klaviyo profile and triggers enrollment in a welcome email series, with customer attributes mapped from Kibo.
Steps:
- Capture new customer registration event from Kibo via webhook
- Create or update Klaviyo profile with customer name, email, account type, and custom properties from Kibo
- Fire a Klaviyo metric event to enroll the new profile in the configured welcome series flow
Connectors Used: Kibo, Klaviyo
Template
Kibo Abandoned Cart → Klaviyo Cart Recovery Campaign
Detects cart abandonment signals from Kibo and pushes cart contents — including product names, images, quantities, and prices — to Klaviyo as a structured event to power a personalized cart recovery email and SMS flow.
Steps:
- Poll or receive webhook from Kibo for carts that have been inactive beyond a configurable threshold without conversion
- Retrieve full cart details from the Kibo Cart API including all line items and product metadata
- Send a structured Added to Cart or Started Checkout event to Klaviyo with full product properties to trigger the abandonment flow
Connectors Used: Kibo, Klaviyo
Template
Kibo Order History Sync → Klaviyo Segment Refresh
On a scheduled basis, this template pulls historical order data from Kibo for all customers and upserts Klaviyo profiles with updated purchase metrics — including total order count, lifetime value, last order date, and preferred categories — to keep audience segments accurate.
Steps:
- Run on a daily or weekly schedule and query Kibo Orders API for all orders updated within the sync window
- Aggregate order metrics per customer including order count, revenue, last purchase date, and top product categories
- Upsert each customer's Klaviyo profile with computed metrics as custom properties to refresh segment membership
Connectors Used: Kibo, Klaviyo
Template
Kibo Lapsed Customer Detection → Klaviyo Win-Back Enrollment
Identifies customers in Kibo who haven't placed an order within a configurable lapse window and automatically adds them to a Klaviyo win-back list or flow, excluding contacts who have already received recent win-back communications.
Steps:
- Query Kibo for customers whose last order date exceeds the defined lapse threshold (e.g., 90 days)
- Cross-reference Klaviyo to exclude contacts who are already active in a win-back flow or have been contacted recently
- Add qualifying lapsed customers to the designated Klaviyo list or trigger a win-back metric event to start the flow
Connectors Used: Kibo, Klaviyo
Template
Kibo Product Catalog Sync → Klaviyo Catalog for Dynamic Emails
Keeps the Klaviyo product catalog in sync with the Kibo catalog so that dynamic product blocks in email templates always reflect current product names, images, prices, and availability from Kibo.
Steps:
- Fetch updated or newly added products from the Kibo Product API on a scheduled interval
- Map Kibo product fields — including SKU, title, description, image URL, price, and inventory status — to the Klaviyo Catalog Item schema
- Create or update catalog items in Klaviyo via the Catalog API so dynamic email blocks reflect live Kibo product data
Connectors Used: Kibo, Klaviyo