Can you integrate Iterable with Salesforce?

Explore a Iterable and Salesforce integration with a Stacksync engineer. Stacksync support for Iterable is not established by the connector documentation reviewed for this page. Start with one record and the update your business needs to identify an implementation path.

Can Iterable and Salesforce sync in both directions?

Confirm two-way support with Stacksync for the records and fields you need in both systems. Access to a vendor API does not confirm that its Stacksync connector supports write-back.

What should be ready before the Iterable and Salesforce initial load?

Prepare both accounts, the selected object schemas, stable source and destination IDs, and the expected outcome. Identify the Iterable account, edition, environment, and business objects the integration must access. Authorize a Salesforce user with API access. Check whether the selected objects can use Apex triggers or require polling. Use the pair worksheet to record ownership and acceptance criteria.

How fast does the Iterable to Salesforce sync run?

Measure initial-load and ongoing-change latency separately. Source detection, selected objects, account limits, and destination validation determine the observed delay.

Will existing duplicates merge automatically?

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.

How do I map Iterable fields to Salesforce?

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.

What should I do if a record fails to sync?

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.

What does a Iterable and Salesforce integration cost?

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.

Which records should the Iterable and Salesforce pilot start with?

Start by reviewing Campaigns in Iterable and Campaigns in Salesforce. 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.

Marketing / CRM · Two-way sync platform

Iterable and Salesforce integration

Plan how Iterable and Salesforce should share data across your business. Work with Stacksync engineers on record mapping, system access, and the requirements for running the integration.

Scope your workflow with an integration engineer
Review the systems, records, and updates you need

Integration planning

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Iterable

Salesforce

Review the integration scope

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Proposed workflow

Campaign or audience sync test

Planning example. Stacksync support for the required connection and record operations needs a technical review.

Starting eventA change involving Iterable Campaigns or Salesforce Campaigns needs a defined result in the other system.

Start with Iterable Campaigns and Salesforce Campaigns. Use the record-matching and field-ownership rules from your mapping worksheet.
Resolve contact/audience identities and channel-account references.
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 a removed audience member, a paused campaign, and one campaign reported across multiple channels.

Review records and field ownership

Proposed record relationships

Records to connect

Use these examples to define record matching and field ownership for your technical review.

Download the mapping worksheet

CSV · No email required

Example record relationships between Iterable and Salesforce
Iterable record	Salesforce record	Record matching	Field ownership
CampaignsProposed record; confirm Stacksync object support.Record matching	CampaignsProposed record; confirm Stacksync object support.	Keep campaign ID, channel/account context, and separate audience membership IDs.	Marketing owns campaign activation and audience eligibility; analytical metrics do not imply permission to launch a campaign.

These relationships do not establish connector availability. Review the required connection and record operations with Stacksync.

Record coverage to review

Use documented coverage where available. Catalog record types are starting points for review and do not confirm Stacksync support.

Iterable

Connection and object support require review

Record types to review with Stacksync

Record types	Coverage and requirements
Users Events Campaigns Templates Lists Catalogs	Confirm support for this record type and the direction you need.

Discuss Iterable requirements

Salesforce

Read and write support varies by record

Record types covered in the setup guide

Record types	Coverage and requirements
Writable standard objects (subject to detection mode) Writable custom objects (subject to detection mode)	See connector requirements. Confirm field permissions and sync direction.

Read the Salesforce connector guide

Connection essentials

Confirm Stacksync support and account requirements for undocumented connections. Interface information alone does not establish connector availability.

View setup requirements and limits

Connection requirement	Iterable	Salesforce
Integration interface	Iterable REST API (JSON over HTTPS): Users, Events, Campaigns, Templates, Lists, Catalogs, and Commerce endpoints, plus a bulk Export API for historical data	REST, SOAP, and Bulk APIs
Authentication	Confirm the credentials, API plan, and permissions required for Iterable.	OAuth login via a Salesforce user
Change detection	Confirm how Stacksync detects changes for this connector and the objects you need.	Stacksync uses Apex triggers where permitted, or regular incremental polling when triggers cannot be used.
Read access	Confirm with Stacksync	Available for supported records
Write access	Confirm with Stacksync	Available for supported records

Enterprise controls

Security and control for your integrations

Explore security controls

Compliance and data transfers

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.

SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

Record-level recovery

Inspect sync errors and use retry and revert controls to resolve failed updates.

Read the recovery guide

Implementation

Technical reference

Review setup, record relationships, testing, and recovery for your implementation.

Authentication, permissions and API limits

Connection requirements and limits

Iterable

Integration interface: Iterable REST API (JSON over HTTPS): Users, Events, Campaigns, Templates, Lists, Catalogs, and Commerce endpoints, plus a bulk Export API for historical data
Authentication: Confirm the credentials, API plan, and permissions required for Iterable.
Change detection: Confirm how Stacksync detects changes for this connector and the objects you need.
Read access: Confirm with Stacksync
Write access: Confirm with Stacksync

Setup requirements

Identify the Iterable account, edition, environment, and business objects the integration must access.
Confirm a Stacksync connector or implementation path for Iterable, including read/write support, authentication, and initial-load limits.

Limitations to check

Confirm Stacksync support for Iterable and the record types your workflow needs.
Review write-back, deletion handling, update timing, and account limits with the integration team.

Salesforce

Integration interface: REST, SOAP, and Bulk APIs
Authentication: OAuth login via a Salesforce user (browser-based authorization flow); requires "API Enabled" permission for polling mode, plus "Author Apex" and "Customize Application" OR "Modify All Data" for trigger mode
Change detection: Stacksync uses Apex triggers where permitted, or regular incremental polling when triggers cannot be used. Confirm the selected mode for each object.
Read access: Available for supported records
Write access: Available for supported records

Setup requirements

Authorize a Salesforce user with API access. Check whether the selected objects can use Apex triggers or require polling.
Test in a sandbox and make the intended objects and fields visible to the connected user.

Limitations to check

Object eligibility depends on write access and the selected detection mode. Non-triggerable objects cannot use trigger mode.
Read-only and formula fields need separate handling; a Salesforce platform capability does not establish support for every object.

Technical documentation

Documentation reviewed 2026-09-15. Check the linked guides for current account and record requirements.

Salesforce setup guide

Prepare Iterable and Salesforce access

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.

Iterable setup checklist

Identify the Iterable account, edition, environment, and business objects the integration must access.
Confirm a Stacksync connector or implementation path for Iterable, including read/write support, authentication, and initial-load limits.

Salesforce setup checklist

Authorize a Salesforce user with API access. Check whether the selected objects can use Apex triggers or require polling.
Test in a sandbox and make the intended objects and fields visible to the connected user.

Setup guides: Authorize Salesforce

Prepare to go live

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 Iterable and Salesforce planning worksheet to capture these decisions. Record the access owner in the worksheet and enter credentials only in the connection setup.

Talk to an engineer · Review current pricing

Record identity and field ownership

Use these data-model references to describe the records your connection needs. They are planning examples; connector availability and supported operations must be established before implementation.

Download the mapping worksheet · CSV, no email required

Record matching

Campaigns / Campaigns

Compare whether Iterable Campaigns and Salesforce Campaigns describe the same campaign or audience in your business.

Planning example. Stacksync support for the required connection and record operations needs a technical review.

Iterable: Object support to establish
Salesforce: Object support to establish
Record identity: Keep campaign ID, channel/account context, and separate audience membership IDs.
Field ownership: Marketing owns campaign activation and audience eligibility; analytical metrics do not imply permission to launch a campaign.

Fields to include

Source campaign ID
Channel reference
Status
Audience references
Measurement window

Record dependencies: Resolve contact/audience identities and channel-account references.
Validation: Test a removed audience member, a paused campaign, and one campaign reported across multiple channels.
Recovery: Rebuild the current eligible audience before retrying activation or membership updates.

References: Salesforce: Campaigns documentation

Compare integration approaches

Choose a method around one example record and the update your business needs. Use Campaigns / Campaigns to review record matching and confirm Stacksync support for the required operations. Compare ongoing sync, a custom workflow, and a scheduled export against that requirement.

Stacksync managed sync

Best fit: Review compatibility with a Stacksync engineer using an example of the records and updates you need.
Operating responsibility: Fits ongoing record synchronization when the required operations are supported. Add workflow steps for approvals or business actions that go beyond copying fields.
Before you choose: Check record matching: Keep campaign ID, channel/account context, and separate audience membership IDs. Verify field coverage, deletion handling, and how changes are detected.

Native vendor integration

Best fit: A vendor-built integration may fit if it supports your Iterable and Salesforce record types.
Operating responsibility: Can reduce setup for a supported workflow. You may need another method for records or business steps it does not cover.
Before you choose: First check whether either vendor offers this integration. If available, verify Campaigns / Campaigns, update direction, account tier, and related-record handling.

Custom API or workflow

Best fit: Consider when Iterable and Salesforce need a transformation, approval, or action outside a direct record sync.
Operating responsibility: Provides control over business steps; the team owns credentials, version changes, error queues, and reconciliation.
Before you choose: Verify endpoint permissions, pagination, quotas, duplicate detection, and failure recovery.

File or scheduled snapshot

Best fit: Consider for a one-time Iterable / Salesforce migration or a reporting need with an explicit freshness window.
Operating responsibility: Can simplify a bounded transfer; later changes and deletion history require another extraction or a separately designed incremental process.
Before you choose: Record the extraction cutoff, source IDs, encoding, date/number formats, and reconciliation totals.

Workflow scenarios and expected results

Campaign or audience sync test

Planning example. Stacksync support for the required connection and record operations needs a technical review.

Starting event: A change to the selected Campaigns or Campaigns record needs a defined result in the other system.

Start with Iterable Campaigns and Salesforce Campaigns. Use the record-matching and field-ownership rules from your mapping worksheet.
Resolve contact/audience identities and channel-account references.
Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.

Expected result: Test a removed audience member, a paused campaign, and one campaign reported across multiple channels.

If it fails: Rebuild the current eligible audience before retrying activation or membership updates.

Link audience context between Iterable and Salesforce

This is an evaluation scenario; connector and operation support require confirmation.

Starting event: An approved customer or campaign change affects eligibility or reporting in Iterable.

Identify the relevant Users or Events and the corresponding identity in Accounts or Contacts.
Choose the authority for consent, audience membership, and campaign activation. Reporting a customer attribute does not authorize outreach.
Define how unsubscribes, deleted identities, and late activity change the current audience.

Expected result: A removed or ineligible person stays excluded after a repeated update; audience membership refers to the correct identity.

If it fails: Recompute current eligibility before retrying membership or activation; do not replay an obsolete permission to contact someone.

Initial load and acceptance testing

Keep both record IDs with the expected and actual result. Reconcile the same filters and time window in each system.

Campaigns / Campaigns

Test case

Test a removed audience member, a paused campaign, and one campaign reported across multiple channels.

Expected result

The expected campaign or audience relationship is preserved with no duplicate action or unintended write.

Direction and permissions

Test case

Bring an example source record and the intended destination operation to the compatibility review. Confirm the supported route before granting write access.

Expected result

Only an approved, supported direction and permitted fields are written.

Freshness and reconciliation

Test case

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.

Expected result

The process meets its agreed freshness target and reconciliation has no unexplained differences.

Failed updates, retries and recovery

Start with the failed record and the destination error, then inspect the source value, field requirements, and access.

Rejected or repeated campaign or audience change

Investigate

Inspect Iterable Campaigns and Salesforce Campaigns, their IDs, and the destination error.

Next action

Rebuild the current eligible audience before retrying activation or membership updates.

A record type or update is unavailable

Investigate

Check the Iterable and Salesforce connector guides, account permissions, and any operations marked On Request.

Next action

Ask the integration team to confirm a supported way to handle that record. Verify whether it needs connector configuration or a separate workflow step.

Source and destination disagree after a retry

Investigate

Compare current source values, destination validation, identity mappings, and any side effects already completed.

Next action

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.

Change detection and update delivery

How updates move between Iterable and Salesforce

See how each system detects changes and which updates the other system can receive. Each direction has its own permissions and record requirements.

Iterable Salesforce Direction requires confirmation

Detect changesConfirm how Stacksync detects changes for this connector and the objects you need.

Apply updatesConfirm that Stacksync can create or update the records you need in Salesforce.

Salesforce Iterable Direction requires confirmation

Detect changesStacksync uses Apex triggers where permitted, or regular incremental polling when triggers cannot be used. Confirm the selected mode for each object.

Apply updatesConfirm that Stacksync can create or update the records you need in Iterable.

Update timing and record limits

Measure initial-load and ongoing-change latency separately. Source detection, selected objects, account limits, and destination validation determine the observed delay.
Review write-back, deletion handling, update timing, and account limits with the integration team.

FAQ