ReSci Retention Science + Shopify
Connect ReSci Retention Science + Shopify to Power Predictive Email Marketing at Scale
Automate customer and order data flow between Shopify and ReSci to run AI-driven retention campaigns that actually convert.
Why integrate ReSci Retention Science and Shopify?
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.
Automate & integrate ReSci Retention Science & Shopify
Use case
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.
Use case
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.
Use case
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.
Use case
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.
Use case
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.
Use case
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.
Use case
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.
Get started with ReSci Retention Science & Shopify integration today
ReSci Retention Science & Shopify Challenges
What challenges are there when working with ReSci Retention Science & Shopify and how will using Tray.ai help?
Challenge
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 Can Help:
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.
Challenge
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 Can Help:
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.
Challenge
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 Can Help:
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.
Challenge
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 Can Help:
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.
Challenge
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 Can Help:
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.
Start using our pre-built ReSci Retention Science & Shopify templates today
Start from scratch or use one of our pre-built ReSci Retention Science & Shopify templates to quickly solve your most common use cases.
ReSci Retention Science & Shopify Templates
Find pre-built ReSci Retention Science & Shopify solutions for common use cases
Template
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.
Steps:
- Trigger: New customer created or first order placed in Shopify
- Transform and map Shopify customer fields to ReSci contact schema including email, name, and acquisition source
- Create or update the customer profile in ReSci and enroll them in the configured welcome campaign
Connectors Used: Shopify, ReSci Retention Science
Template
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.
Steps:
- Trigger: Order status updated to fulfilled in Shopify
- Extract order line items, total value, product categories, and customer ID from the Shopify order payload
- Post a formatted purchase event to the ReSci API linked to the matching customer profile
Connectors Used: Shopify, ReSci Retention Science
Template
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.
Steps:
- Schedule: Run daily query against Shopify customers filtered by last order date exceeding the inactivity threshold
- Cross-reference each customer's current ReSci campaign enrollment to avoid duplicate win-back triggers
- Enroll qualifying customers in the designated ReSci win-back campaign with last-purchased product context
Connectors Used: Shopify, ReSci Retention Science
Template
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.
Steps:
- Trigger: Order completed in Shopify
- Retrieve cumulative lifetime order value for the customer from Shopify's customer object
- Update the customer's segment or tag in ReSci to reflect their new VIP tier status
Connectors Used: Shopify, ReSci Retention Science
Template
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.
Steps:
- Trigger: Refund created on a Shopify order
- Identify the associated customer in ReSci and flag their profile to suppress current promotional campaign sends
- Enroll the customer in the configured post-refund recovery campaign in ReSci with order context attached
Connectors Used: Shopify, ReSci Retention Science
Template
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.
Steps:
- Trigger: Shopify order fulfilled containing SKUs flagged as replenishable products
- Extract fulfillment date and product identifiers and send as a structured event to ReSci
- ReSci uses the event data to schedule an individually timed replenishment email based on the customer's purchase cadence model
Connectors Used: Shopify, ReSci Retention Science