Two-way sync
Changes in Iterable or Salesforce instantly reflect in both systems. No stale data, no manual imports.
Keep Iterable and Salesforce in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Salesforce owns the customer relationship and the pipeline; Iterable runs the campaigns, audiences, and outreach that fill it. The two overlap on the same people and companies — a lead in one system is a subscriber, a segment member, an event registrant, or an ad audience in the other. When that overlap is bridged by CSV exports or a nightly job, sales works from lists that no longer match reality and marketing keeps targeting people whose status has already moved on.
Stacksync syncs Cases, Campaigns, Tasks and Events, Products and Price Books in Salesforce with Lists, Catalogs, Commerce / Purchases, Export data in Iterable field by field, in real time, and in both directions. You decide which system owns which fields — Salesforce can own account and opportunity status while Iterable owns engagement and campaign membership — and Stacksync keeps every copy consistent and resolves conflicts by rules you set.
New leads or responders captured in Iterable flow into Salesforce assigned and deduplicated, so nothing sits in a marketing list waiting for someone to export it.
When a contact or lead is created or edited in either system, the matching record appears or updates in the other, so campaigns reach real people and reps see who is already being marketed to.
Opens, clicks, form fills, event attendance, or ad responses recorded in Iterable post back to the contact or account in Salesforce, so reps see interest before they reach out.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Iterable objects | Salesforce objects | How this pairing syncs | |
|---|---|---|---|
| Campaigns Email, SMS, push, and in-app sends; metadata and metrics read via GET /api/campaigns and /api/campaigns/metrics, created and sent via /api/campaigns/create and /api/campaigns/trigger. | Campaigns Marketing membership data; read out for attribution analysis in the warehouse. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Lists Static subscriber lists; read via GET /api/lists and /api/lists/getUsers, with users added or removed via /api/lists/subscribe and /api/lists/unsubscribe to control who receives a send. | Custom Objects Org-specific tables with the __c suffix; discoverable via describe metadata so field mappings can be generated. | Lists is specific to Iterable and Custom Objects to Salesforce — each maps to any object or custom field on the other side. | |
| Catalogs Named catalogs of items (products, content) used for personalization and recommendations; items upserted and read via /api/catalogs/{catalogName}/items. | Accounts Company records that anchor most syncs; typically mapped to customer tables in a database or ERP. | Catalogs is specific to Iterable and Accounts to Salesforce — each maps to any object or custom field on the other side. | |
| Commerce / Purchases Purchase and cart activity tracked via /api/commerce/trackPurchase and /api/commerce/updateCart, feeding revenue attribution and abandoned-cart journeys. | Contacts People linked to Accounts; synced two-way with marketing, support, and warehouse person records. | Commerce / Purchases is specific to Iterable and Contacts to Salesforce — each maps to any object or custom field on the other side. | |
| Export data Historical user and event records pulled through the Export API (/api/export/data.json, data.csv, and userEvents) across data types like emailSend, emailOpen, emailClick, emailBounce, purchase, and customEvent. | Leads Unqualified prospects; often written into Salesforce from enrichment or product-signup pipelines. | Export data is specific to Iterable and Leads to Salesforce — each maps to any object or custom field on the other side. | |
| Users User profiles keyed by email or userId with custom data fields; upserted via POST /api/users/update, read via GET /api/users/{email} or getByUserId, bulk-written via /api/users/bulkUpdate (up to 1000 users per call), and deleted or GDPR-forgotten. | Opportunities Deal records with stage and amount; synced to databases for pipeline reporting and to ERPs at close. | Users is specific to Iterable and Opportunities to Salesforce — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionIterable notifies Stacksync of record changes through webhook events. System Webhooks push email/SMS/push/in-app and custom events (send, open, click, bounce, complaint, unsubscribe) as JSON POSTs in near real time.
DeliveryEach detected change is written to Salesforce through its API, with automatic retries and rate-limit backoff.
DetectionChanges in Salesforce are captured at the source via change data capture — no polling loop against its API. Apex triggers are used whenever possible (Salesforce actively notifies Stacksync via an Apex trigger + callout class + remote site setting).
DeliveryEach detected change is written to Iterable through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Iterable–Salesforce connection.
Changes in Iterable or Salesforce instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Iterable or Salesforce data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Iterable or Salesforce record.
Track your Iterable ⇄ Salesforce sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Iterable and Salesforce.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Iterable and Salesforce with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Iterable and Salesforce objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Iterable and Salesforce: authenticate both systems, choose the objects to sync (such as Iterable's Campaigns and Lists), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Iterable and Salesforce connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Iterable–Salesforce integration in-house.
Yes — Stacksync ships production-grade connectors for both Iterable and Salesforce. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Iterable: System Webhooks push email/SMS/push/in-app and custom events (send, open, click, bounce, complaint, unsubscribe) as JSON POSTs in near real time; historical backfill and incremental catch-up run through the Export API over a date range. On Salesforce: Apex triggers are used whenever possible (Salesforce actively notifies Stacksync via an Apex trigger + callout class + remote site setting). Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Salesforce side: Cases, Campaigns, Tasks and Events, Products and Price Books, plus custom fields where Salesforce exposes them. On the Iterable side: Lists, Catalogs, Commerce / Purchases, Export data. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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:
Every pair below is a real-time, two-way sync. Search all 497 integrations available for Iterable and Salesforce.