SendGrid
Read-only connector
Record types covered in the setup guide
| Record types | Coverage and requirements |
|---|---|
| Reading: ✅ Supported. Updating this object: Not available (read-only connector). |
Bring supported SendGrid data into Shopify for your team's workflows and reporting. This connector supports updates from SendGrid to Shopify.
Example workflow
Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.
Starting eventA change involving SendGrid Contacts or Shopify Customers needs a defined result in the other system.
Start with SendGrid Contacts and Shopify Customers. Use the record-matching and field-ownership rules from your mapping worksheet.
Resolve person or company type, legal entity, business role, and any billing account before transactions.
Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.
What to verifyTest an individual buyer, a company buyer, and one company with multiple billing relationships. Do not merge these into a single generic contact.
Review records and field ownershipMapping essentials
Match records by stable IDs and assign an owner for each field. The record notes identify the coverage to check.
Download the mapping worksheetCSV · No email required
| SendGrid record | Shopify record | Record matching | Field ownership |
|---|---|---|---|
| ContactsDocumented record: Read: Supported. Write: Not available (read-only connector).Customer identity assessment | CustomersDocumented record: Supported | Determine whether each customer represents an individual, a company, or a business-unit relationship before matching it to a contact or organization. Retain the source customer ID and destination ID; names and email alone are insufficient. | Separate the customer relationship from contact details, billing authority, and consent. Choose an owner for each field after identifying whether the customer is a person or company. |
Use writable fields from the connected accounts. Read values from read-only fields without writing changes back to them, and define deletion handling separately.
Why teams connect SendGrid and Shopify
Start with the work your team needs to complete: keep records up to date, make operational data available for reporting, or move data to a new system. Choose one SendGrid and Shopify workflow to test, define what success looks like, and decide who handles failed updates.
Sync CRM contacts and their custom fields into SendGrid lists so campaign targeting reflects live sales data
Write bounces, spam reports, and unsubscribes back to the CRM to keep email opt-in status accurate everywhere
Sync orders, customers, and inventory into Postgres for operational reporting across stores.
Keep customer records aligned between Shopify and a CRM for segmentation and lifetime-value analysis.
Start with the records your workflow needs. Check each system’s read and write requirements before mapping fields.
Read-only connector
Record types covered in the setup guide
| Record types | Coverage and requirements |
|---|---|
| Reading: ✅ Supported. Updating this object: Not available (read-only connector). |
Read and write support varies by record
Record types covered in the setup guide
| Record types | Coverage and requirements |
|---|---|
| ✅ Supported. Confirm field permissions and sync direction. |
Review how each system connects, detects changes, and permits access to your records.
View setup requirements and limits| Connection requirement | SendGrid | Shopify |
|---|---|---|
| Integration interface | REST API (v3) | GraphQL Admin API (primary) and REST Admin API (legacy) |
| Authentication | API key | OAuth via a custom Shopify app |
| Change detection | The saved Stacksync guide does not specify the change-detection mechanism. | The saved Stacksync guide does not specify the change-detection mechanism. |
| Read access | Available for supported records | Available for supported records |
| Write access | Not supported by this connector | Available for supported records |
Enterprise controls
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Inspect sync errors and use retry and revert controls to resolve failed updates.
Read the recovery guideImplementation
Review setup, record relationships, testing, and recovery for your implementation.
Documentation reviewed 2026-09-15. Check the linked guides for current account and record requirements.
Documentation reviewed 2026-09-15. Check the linked guides for current account and record requirements.
Set up both accounts before testing the mapping. Use test records where available, and identify the account administrator who can approve access and help resolve setup errors.
Setup guides: Authorize SendGrid
Setup guides: Authorize Shopify
Record the fields each system can update, the first-load cutoff, both record IDs, the expected update delay, and who handles errors. Complete the tests before production before expanding to more records.
Use the SendGrid and Shopify planning worksheet to capture these decisions. Record the access owner in the worksheet and enter credentials only in the connection setup.
Keep each record tied to its source ID. Use the references below to choose field owners and preserve relationships between records.
Download the mapping worksheet · CSV, no email required
Customer identity
Before linking SendGrid Contacts to Shopify Customers, check whether the customer is an individual or a company. Match the correct record type in each system.
Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.
Fields to include
References: SendGrid: Contacts documentationShopify: Customers documentation
Use SendGrid Contacts and Shopify Customers for the first pilot. Verify its identity and permitted direction, then add dependent records only when the acceptance checks pass.
Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.
Starting event: A change to the selected Contacts or Customers record needs a defined result in the other system.
Expected result: Test an individual buyer, a company buyer, and one company with multiple billing relationships. Do not merge these into a single generic contact.
If it fails: Hold ambiguous customer matches for review and resolve customer type before retrying dependent records.
Validate the selected objects and operations even where connector-level direction is documented.
Starting event: A communication in SendGrid needs an association with Products or ProductVariants in Shopify.
Expected result: Repeated delivery updates the same history record; a private conversation stays private; a history replay sends no new message.
If it fails: Check source delivery state and the destination relationship before retrying. Do not resend to repair an analytical or history discrepancy.
Keep both record IDs with the expected and actual result. Reconcile the same filters and time window in each system.
Test an individual buyer, a company buyer, and one company with multiple billing relationships. Do not merge these into a single generic contact.
The expected customer relationship is preserved with no duplicate action or unintended write.
Verify read access in SendGrid and write access in Shopify. Test the permitted route without relying on a return sync.
Only an approved, supported direction and permitted fields are written.
Measure source and destination times for the selected records under normal load and a burst. Reconcile IDs and values using the same filters and cutoff.
The process meets its agreed freshness target and reconciliation has no unexplained differences.
Start with the failed record and the destination error, then inspect the source value, field requirements, and access.
Inspect SendGrid Contacts and Shopify Customers, their IDs, and the destination error.
Hold ambiguous customer matches for review and resolve customer type before retrying dependent records.
Check the SendGrid and Shopify connector guides, account permissions, and any operations marked On Request.
Ask the integration team to confirm a supported way to handle that record. Verify whether it needs connector configuration or a separate workflow step.
Compare current source values, destination validation, identity mappings, and any side effects already completed.
Stacksync issue retry reads the current source state. Decide the intended state before retrying or reverting; reconcile downstream effects separately.
Read the Stacksync issues dashboard guide for retry and revert behavior.
See how each system detects changes and which updates the other system can receive. Each direction has its own permissions and record requirements.
Detect changesThe saved Stacksync guide does not specify the change-detection mechanism. Confirm it for the selected objects.
Apply updatesSelected writable fields update in Shopify. Its permissions and validation rules still apply; rejected records can be inspected in the Issues dashboard.
Detect changesThis route requires read access from Shopify and write access to SendGrid; the documented connector restrictions do not permit it.
Apply updatesUse a supported direction or review a separate integration method for this requirement.
The documented direction is SendGrid to Shopify for supported objects. SendGrid is documented as a read-only connector, so it cannot receive write-back through this connector. Authorize both systems, map the selected fields, and validate the first load and later changes.
SendGrid is read-only through Stacksync. Two-way sync is not supported through these connectors; use a supported direction or review another implementation.
Prepare both accounts, the selected object schemas, stable source and destination IDs, and the expected outcome. Create a SendGrid API key with the access levels needed for the selected resources. Have the Shopify administrator create the custom app described in the connection guide and configure its required scopes and redirect URL. Use the pair worksheet to record ownership and acceptance criteria.
Measure initial-load and ongoing-change latency separately. Source detection, selected objects, account limits, and destination validation determine the observed delay.
No. Stacksync documents that pre-existing duplicates are not merged automatically when two-way sync begins. Review the initial dataset and matching plan before enabling it; an empty destination can simplify the first load.
Start with one business entity and a stable record ID. Map a small set of editable fields with compatible types, test required values and relationships, then expand after the pilot passes.
Check the destination error, field constraints, permissions, and current source value. The Stacksync issues dashboard supports retry and revert; retry reads current source values, so verify the intended record state before acting.
Use the current Stacksync pricing page and confirm the supported implementation with the team. Scope the required objects, record volume, update frequency, initial load, and support needs when comparing a managed connector with native or custom development.
Start by reviewing Contacts in SendGrid and Customers in Shopify. Check how these records relate in your workflow, then confirm the actual fields and supported operations. Test record matching and one failed or repeated update before adding more records.
Use SendGrid Contacts and Shopify Customers for the first pilot. Verify its identity and permitted direction, then add dependent records only when the acceptance checks pass.
Next step
Walk through your SendGrid and Shopify records, field mappings, and requirements with an integration engineer.