# Connect Ontraport to Shopify > Sync order data, automate customer journeys, and drive repeat revenue by connecting Ontraport's CRM and marketing automation with Shopify. **Canonical page:** https://tray.ai/connectors/ontraport-shopify-integrations/ **Ontraport connector:** https://tray.ai/connectors/ontraport-integrations/ **Ontraport documentation:** https://tray.ai/documentation/connectors/service/ontraport **Shopify connector:** https://tray.ai/connectors/shopify-integrations/ **Shopify documentation:** https://tray.ai/documentation/connectors/service/shopify ## Overview Ontraport and Shopify each do their job well — Shopify runs the storefront and handles transactions, while Ontraport manages contacts, email campaigns, and marketing automation. The problem is keeping them in sync. Manual data transfers create silos, delayed follow-ups, and a fragmented picture of who your customers actually are. Connecting Ontraport with Shopify through tray.ai closes that gap, so your CRM, marketing, and store data stay current without anyone babysitting the process. When Ontraport and Shopify share data, your team gets a real-time view of every customer — what they bought, when they bought it, and what they're likely to want next. Shopify order data flows into Ontraport contact records automatically, so email campaigns can be triggered by actual purchase behavior instead of manual list exports. Abandoned cart recovery, post-purchase upsell sequences, VIP loyalty tagging, win-back campaigns — these all run on their own while your team works on other things. The payoff is higher customer lifetime value, less churn, and a marketing operation that doesn't need to grow headcount to grow revenue. ## Use cases ### New Shopify Customer Onboarding in Ontraport When a customer completes their first Shopify purchase, tray.ai creates or updates their contact record in Ontraport, tags them as a new buyer, and enrolls them in an onboarding sequence. Every first-time buyer gets a consistent welcome experience without anyone touching a spreadsheet. Marketing teams can segment these contacts right away for follow-up campaigns or loyalty program invitations. - Eliminate manual contact creation and cut down on data entry errors - Trigger welcome email sequences the moment a purchase is confirmed - Segment new buyers immediately for targeted post-purchase marketing ### Abandoned Cart Recovery Automation When a Shopify shopper adds items to their cart but doesn't check out, tray.ai sends that event and cart details into Ontraport to kick off a multi-step recovery campaign. Emails reference the exact products left behind and go out at timed intervals to bring the customer back. This runs around the clock, recovering revenue that would otherwise disappear without anyone following up manually. - Recover lost revenue automatically without manual outreach - Personalize recovery emails with real Shopify cart and product data - Measure campaign ROI by tying Ontraport campaign results to Shopify sales ### Post-Purchase Upsell and Cross-Sell Campaigns After a Shopify order ships, tray.ai syncs purchase details — product category, order value, SKU — into Ontraport to trigger upsell or cross-sell email sequences. Customers who bought a specific product get enrolled in campaigns recommending items that actually complement what they already own. Recommendations are based on each customer's real purchase history, so nothing feels generic. - Increase average order value through behavior-driven product recommendations - Automate upsell sequences without building manual lists - Tailor campaigns based on actual Shopify purchase history per contact ### VIP Customer Tagging and Loyalty Segmentation As customers rack up purchases in Shopify, tray.ai tracks order counts and lifetime spend, then applies VIP or tiered loyalty tags to their Ontraport contact records. Marketing teams can deliver exclusive offers and early access campaigns to their best customers without manually digging through purchase histories. Segments update in real time as customers cross new spending thresholds. - Automatically identify and reward high-value customers in real time - Build dynamic Ontraport segments from live Shopify spend data - Drive repeat purchases with exclusive, well-timed offers ### Win-Back Campaigns for Lapsed Shopify Customers tray.ai watches Shopify purchase timestamps, and when a customer hasn't ordered within a defined window, it updates their Ontraport record and enrolls them in a re-engagement campaign. Win-back emails can include personalized discount codes generated in Shopify and sent through Ontraport, so the offer feels timely rather than canned. Dormant customers stay in an active nurture track without anyone managing lists by hand. - Re-engage lapsed customers automatically before they're gone for good - Send personalized Shopify discount codes inside Ontraport emails - Cut manual list scrubbing with real-time lapse detection ### Shopify Refund and Cancellation Handling in Ontraport When a Shopify order is refunded or cancelled, tray.ai immediately updates the Ontraport contact record, strips or adjusts purchase tags, and pauses any active post-purchase sequences so customers don't get upsell emails right after a bad experience. Support or sales teams get an Ontraport task to follow up proactively. Keeping CRM data accurate after a refund protects the customer relationship and stops segmentation from going sideways. - Stop irrelevant upsell emails from going out after a refund or cancellation - Keep Ontraport contact records accurate when order status changes in Shopify - Alert teams proactively to follow up with dissatisfied customers ### Shopify Product Review Follow-Up Automation A set number of days after a Shopify order is fulfilled, tray.ai triggers an Ontraport email sequence asking for a product review, with timing and messaging tied to the specific product purchased. If a customer clicks through to leave a review, that engagement is logged back in Ontraport for reputation management and NPS scoring. Positive reviewers can be automatically segmented for referral program invitations. - Increase review volume with well-timed, product-specific follow-up emails - Track review engagement inside Ontraport for complete customer profiles - Convert happy reviewers into referral program participants automatically ## Templates ### Sync New Shopify Customers to Ontraport as Contacts This template watches for new customer accounts or first-time orders in Shopify and automatically creates or updates the matching contact record in Ontraport, mapping fields like name, email, phone, billing address, and order details, then applies a new customer tag to trigger welcome sequences. Connectors used: Shopify, Ontraport ### Shopify Abandoned Cart to Ontraport Recovery Campaign This template detects abandoned checkouts in Shopify and pushes the shopper's details and cart contents into Ontraport to enroll them in a multi-step recovery email sequence, with personalized product references and a time-sensitive incentive. Connectors used: Shopify, Ontraport ### Update Ontraport Contact Lifetime Value After Each Shopify Order Every time a new order is placed or updated in Shopify, this template calculates the customer's cumulative lifetime spend and updates a custom Ontraport field, enabling dynamic segmentation, VIP tagging, and spend-based campaign triggers without any manual calculations. Connectors used: Shopify, Ontraport ### Shopify Refund Detected — Pause Ontraport Sequences and Alert Team When a Shopify refund or cancellation is processed, this template updates the affected Ontraport contact's record, pauses any active post-purchase email sequences, removes purchase-based tags, and creates an internal task in Ontraport for a team member to follow up. Connectors used: Shopify, Ontraport ### Post-Purchase Review Request Sequence Triggered by Shopify Fulfillment Once a Shopify order is marked as fulfilled, this template waits a configurable number of days and then triggers a personalized product review request email sequence in Ontraport, logging engagement back to the contact record for NPS and segmentation purposes. Connectors used: Shopify, Ontraport ### Lapsed Customer Win-Back — Shopify Inactivity to Ontraport Re-Engagement This template runs on a schedule, querying Shopify for customers whose last order falls outside a defined inactivity window, then enrolling them in a targeted Ontraport win-back campaign with a personalized discount code to drive their next purchase. Connectors used: Shopify, Ontraport ## Challenges Tray.ai solves ### Keeping Contact Records Accurate Across Both Platforms Customer data — email addresses, phone numbers, shipping details — can be updated in Shopify after a purchase, leaving the Ontraport contact record stale and causing failed communications or wrong segmentation. **How Tray.ai helps:** tray.ai listens for customer update events in Shopify in real time and immediately pushes changed field values to the matching Ontraport contact record, so both platforms reflect current information without manual reconciliation. ### Avoiding Duplicate Contacts Between Shopify and Ontraport Customers who buy multiple times, use different email addresses, or check out as guests can end up as duplicate or fragmented records in Ontraport. That pollutes segmentation and can send the same customer conflicting messages from different contact profiles. **How Tray.ai helps:** tray.ai workflows check for existing Ontraport contacts by email, phone, or custom identifiers before creating anything new. When a match is found, the existing record gets updated rather than duplicated, keeping customer profiles clean across both systems. ### Mapping Shopify's Order Data Model to Ontraport's Custom Fields Shopify stores detailed order data — line items, SKUs, discount codes, fulfillment status — in a structured format that doesn't translate directly to Ontraport's contact-centric model. Getting meaningful purchase context into CRM records and campaign triggers requires some translation work. **How Tray.ai helps:** tray.ai's data transformation tools let teams parse Shopify order payloads, pull out the most relevant attributes like product category, order total, and discount usage, and map them to custom Ontraport contact fields or purchase log entries — no developer required. ### Timing Campaigns Around Real Shopify Order Events When teams rely on manually exported Shopify reports to decide when to send follow-up emails, campaigns go out late and miss the window when customers are most engaged — right after a purchase or cart abandonment. **How Tray.ai helps:** tray.ai triggers Ontraport campaign actions in real time based on Shopify webhook events, so welcome emails, review requests, upsell sequences, and abandoned cart messages go out at the right moment, automatically, every time. ### Managing Campaign Suppression After Refunds or Cancellations Without an integration, refund and cancellation events in Shopify are invisible to Ontraport. Customers who just had a bad order experience keep receiving upsell and loyalty emails, which damages trust and hurts deliverability. **How Tray.ai helps:** tray.ai monitors Shopify for refund and cancellation webhooks and immediately tells Ontraport to pause relevant sequences, remove purchase-related tags, and flag the contact for human review. Post-purchase messaging stays appropriate and the customer relationship stays intact. ## Learn more - Intelligent Integration: https://tray.ai/platform/intelligent-ipaas/ - Merlin Agent Builder: https://tray.ai/platform/merlin-agent-builder/ - Agent Gateway for MCP: https://tray.ai/platform/agent-gateway/ - Book a demo: https://tray.ai/contact/