# ReSci Retention Science + Shopify integration > Automate customer and order data flow between Shopify and ReSci to run AI-driven retention campaigns that actually convert. **Canonical page:** https://tray.ai/connectors/resci-retention-science-shopify-integrations/ **ReSci Retention Science connector:** https://tray.ai/connectors/resci-retention-science-integrations/ **ReSci Retention Science documentation:** https://tray.ai/documentation/connectors/service/resci-retention-science **Shopify connector:** https://tray.ai/connectors/shopify-integrations/ **Shopify documentation:** https://tray.ai/documentation/connectors/service/shopify ## Overview ReSci Retention Science and Shopify are a natural fit for eCommerce brands serious about customer lifecycle marketing. Shopify captures every purchase, browsing behavior, and customer event, while ReSci's AI engine turns that data into predictive segments, personalized email campaigns, and churn prevention. Connect the two, and every new order, customer update, and cancellation in Shopify instantly informs smarter retention actions in ReSci. Manually exporting customer lists and order histories from Shopify into ReSci is slow and introduces data lag — your retention campaigns end up working off stale information. When the two platforms are connected through tray.ai, customer profiles in ReSci stay continuously enriched with real-time Shopify purchase events, product preferences, and loyalty signals. ReSci's predictive AI can then accurately forecast churn risk, lifetime value, and purchase propensity so your team can act before a customer churns, not after. The result is higher email engagement, more repeat purchases, and a retention program that scales without manual data wrangling. ## Use cases ### Real-Time Customer Profile Sync Whenever a new customer registers or places their first order in Shopify, their profile is automatically created or updated in ReSci Retention Science. ReSci's AI models always have fresh customer identity data to work with from day one — no batch uploads or overnight CSV transfers that leave new customers outside your retention funnel. - Eliminate manual CSV exports and imports between Shopify and ReSci - Enroll new customers into retention campaigns within minutes of their first purchase - Keep ReSci's predictive models trained on complete, up-to-date customer data ### Order Event Triggering for Post-Purchase Journeys Every completed order in Shopify automatically fires a purchase event into ReSci, triggering post-purchase email sequences tailored to the specific products bought. ReSci can use this data to recommend complementary items, time replenishment reminders, or kick off loyalty reward flows — closing the gap between transaction and engagement without any manual work. - Trigger personalized post-purchase sequences the moment an order is confirmed - Feed product-level purchase data to ReSci for accurate cross-sell and upsell recommendations - Cut time-to-engagement after purchase without manual campaign management ### Churn Prediction and Win-Back Campaign Automation By continuously syncing customer order frequency and recency data from Shopify into ReSci, the AI can spot customers whose purchase patterns signal churn risk. tray.ai can then automatically enroll at-risk customers into ReSci win-back campaigns before they lapse entirely. This proactive approach dramatically outperforms reactive win-back emails sent after a customer has already left. - Act on churn signals in real time rather than discovering lost customers weeks later - Automatically segment high-value at-risk customers for premium win-back incentives - Measure win-back campaign revenue tied directly to Shopify order recovery ### VIP and High-LTV Customer Segmentation As Shopify accumulates order history, tray.ai continuously pushes lifetime value and order count milestones into ReSci to update customer segments. When a customer crosses a VIP spending threshold, they're instantly moved to a high-LTV segment in ReSci and enrolled in exclusive loyalty campaigns — so your best customers always get the experience they've earned. - Automatically graduate customers to VIP segments based on real Shopify spending data - Eliminate manual segment refreshes that leave top customers in the wrong campaign tier - Increase repeat purchase rate among high-LTV customers through timely, relevant outreach ### Abandoned Cart Recovery Enrichment When Shopify detects an abandoned cart, tray.ai enriches that event with the customer's ReSci predictive score before triggering a recovery email. High-propensity buyers get a stronger incentive; low-risk customers get a standard reminder. It's a smarter abandoned cart program that optimizes both conversion rate and discount spend. - Personalize abandoned cart recovery messaging using ReSci's AI purchase propensity scores - Cut unnecessary discount spend by reserving incentives for genuinely at-risk carts - Increase abandoned cart recovery revenue through more precisely targeted follow-up ### Product Replenishment and Subscription Nudge Campaigns For consumable or repeat-purchase products sold through Shopify, tray.ai sends purchase date and product SKU data to ReSci to calculate personalized replenishment timing for each customer. ReSci then sends replenishment reminder emails exactly when each customer is likely to run out — replacing blanket blasts with individually timed, high-converting nudges. - Trigger replenishment emails based on each customer's actual purchase cadence from Shopify - Improve repeat purchase rates for consumable product categories without manual scheduling - Reduce churn on subscription-adjacent products by getting ahead of the repurchase decision ### Refund and Cancellation Suppression and Recovery When a Shopify order is refunded or cancelled, tray.ai immediately updates the customer's event history in ReSci to suppress promotional messaging and trigger a recovery or resolution campaign instead. This prevents the jarring experience of receiving a cross-sell email right after a frustrating return. It also keeps ReSci's AI accurate by removing refunded orders from LTV calculations. - Suppress promotional emails to customers who have just experienced a refund or cancellation - Automatically enroll post-refund customers in satisfaction recovery journeys - Keep ReSci LTV and purchase frequency models accurate by excluding refunded transactions ## Templates ### Sync New Shopify Customers to ReSci in Real Time Automatically creates or updates a customer profile in ReSci Retention Science whenever a new customer account is created or a first purchase is completed in Shopify, so they're enrolled in welcome and onboarding campaigns right away. Connectors used: Shopify, ReSci Retention Science ### Push Shopify Order Events to ReSci for Post-Purchase Automation Sends a structured purchase event to ReSci every time an order is marked as fulfilled in Shopify, including product SKUs, order value, and purchase date, so ReSci can trigger personalized post-purchase and cross-sell email sequences. Connectors used: Shopify, ReSci Retention Science ### Enroll At-Risk Customers in ReSci Win-Back Campaigns Based on Shopify Inactivity Monitors Shopify customer purchase recency on a scheduled basis and automatically enrolls customers who haven't ordered within a defined window into a ReSci win-back campaign, using order history to personalize the recovery messaging. Connectors used: Shopify, ReSci Retention Science ### Update ReSci Segments When Shopify Customers Reach VIP Spend Thresholds Watches for Shopify order completions that push a customer's cumulative lifetime spend over predefined VIP tiers, then updates their ReSci segment tag so they're automatically moved into premium loyalty and retention campaigns. Connectors used: Shopify, ReSci Retention Science ### Suppress ReSci Campaigns and Trigger Recovery Flows on Shopify Refunds Detects refund events in Shopify and immediately updates the corresponding ReSci customer record to suppress active promotional campaigns while enrolling the customer in a post-refund satisfaction recovery journey. Connectors used: Shopify, ReSci Retention Science ### Send Shopify Replenishment Purchase Data to ReSci for Timed Reminder Campaigns After a Shopify order containing replenishable product SKUs is fulfilled, pushes purchase timing and product data to ReSci so the platform can calculate each customer's predicted reorder date and send a precisely timed replenishment reminder email. Connectors used: Shopify, ReSci Retention Science ## Challenges Tray.ai solves ### Keeping Customer Data Fresh Across Both Platforms Shopify customer records change constantly — new addresses, updated emails, fresh orders — and ReSci's AI models lose predictive accuracy when working from outdated profiles. Batch sync processes on daily or weekly schedules inevitably fall behind, causing campaigns to target the wrong segments or miss lifecycle moments entirely. **How Tray.ai helps:** tray.ai listens to Shopify webhooks in real time and immediately propagates customer updates to ReSci, keeping profile data, purchase history, and event streams continuously synchronized without manual intervention or scheduling lag. ### Mapping Complex Shopify Order Schemas to ReSci Event Structures Shopify order objects contain deeply nested data — line items, variants, discounts, fulfillments, customer details — that must be correctly flattened and mapped to ReSci's specific purchase event schema. Mismatched fields or missing data silently degrade ReSci's AI model accuracy over time. **How Tray.ai helps:** tray.ai's visual data mapper and built-in transformation logic let teams precisely configure how Shopify order fields translate into ReSci event properties, handling edge cases like partial fulfillments, bundles, and multi-currency orders without custom code. ### Avoiding Duplicate Customer Records in ReSci Shopify customers can exist under multiple email addresses or guest checkout identities, and naive sync logic will create duplicate profiles in ReSci that fragment AI model training data and lead to customers receiving duplicate or conflicting campaign messages. **How Tray.ai helps:** tray.ai workflows can be configured with deduplication logic that checks for existing ReSci profiles by email or customer ID before creating new records, merging relevant event data into the canonical profile and maintaining data integrity across both platforms. ### Managing High-Volume Order Event Throughput During Peak Periods During flash sales, Black Friday, or major promotional events, Shopify can generate thousands of order events per hour that all need to reach ReSci reliably — without data loss, duplication, or API rate limit errors that could cause retention campaigns to fire incorrectly or miss customers entirely. **How Tray.ai helps:** tray.ai's enterprise-grade workflow engine handles high-volume event bursts through built-in queuing, retry logic, and rate limit management, so every Shopify order event reaches ReSci reliably regardless of traffic spikes. ### Maintaining GDPR and Data Privacy Compliance Across the Integration Customer data flowing between Shopify and ReSci — purchase history, behavioral data, contact information — must respect consent preferences, deletion requests, and regional privacy regulations. Without proper controls, an integration can easily push data to ReSci for customers who've opted out of marketing or requested erasure. **How Tray.ai helps:** tray.ai workflows can incorporate consent-checking logic that validates a customer's marketing opt-in status in Shopify before syncing their data to ReSci, and can trigger deletion or suppression events in ReSci when a Shopify customer submits a data removal request, keeping the integration compliant end to end. ## 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/