Two-way sync
Changes in Freshworks CRM or Iterable instantly reflect in both systems. No stale data, no manual imports.
Keep Freshworks CRM and Iterable in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Freshworks CRM 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 Notes, Contacts, Accounts, Deals in Freshworks CRM with Campaigns, Templates, Lists, Catalogs in Iterable field by field, in real time, and in both directions. You decide which system owns which fields — Freshworks CRM 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.
Status, stage, or score set in one system updates the matching record in the other, so a lead marketing is still nurturing is not worked as sales-ready, and a closed account stops receiving prospecting.
Where Iterable builds lists, segments, or ad audiences, membership tracks the fields and stage owned in Freshworks CRM, so who receives a campaign reflects current pipeline reality instead of a stale export.
New leads or responders captured in Iterable flow into Freshworks CRM assigned and deduplicated, so nothing sits in a marketing list waiting for someone to export it.
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.
| Freshworks CRM objects | Iterable objects | How this pairing syncs | |
|---|---|---|---|
| Lists Contact list membership synced against segments computed in a warehouse. | 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. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Sales activities Logged activity types used in engagement and productivity analysis. | 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. | Sales activities is specific to Freshworks CRM and Export data to Iterable — each maps to any object or custom field on the other side. | |
| Notes Context records attached to contacts, accounts, and deals. | 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. | Notes is specific to Freshworks CRM and Users to Iterable — each maps to any object or custom field on the other side. | |
| Contacts Unified sales-and-marketing person records; the core entity for bidirectional syncs. | Events Custom and system events tracked via /api/events/track and /api/events/trackBulk (up to 1000 events per call); a single user's event history is read via GET /api/events/{email}. | Contacts is specific to Freshworks CRM and Events to Iterable — each maps to any object or custom field on the other side. | |
| Accounts Company records kept consistent with ERP and billing systems. | 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. | Accounts is specific to Freshworks CRM and Campaigns to Iterable — each maps to any object or custom field on the other side. | |
| Deals Pipeline records synced out for forecasting and full-funnel reporting. | Templates Reusable email/SMS/push/in-app message templates with handlebars fields; read via /api/templates and per-channel get endpoints, written via /api/templates/email/upsert and the other channel upserts. | Deals is specific to Freshworks CRM and Templates to Iterable — 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.
DetectionFreshworks CRM notifies Stacksync of record changes through webhook events. Polling with updated-at filters.
DeliveryEach detected change is written to Iterable through its API, with automatic retries and rate-limit backoff.
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 Freshworks CRM through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Freshworks CRM–Iterable connection.
Changes in Freshworks CRM or Iterable instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Freshworks CRM or Iterable data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Freshworks CRM or Iterable record.
Track your Freshworks CRM ⇄ Iterable sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Freshworks CRM and Iterable.
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 Freshworks CRM and Iterable 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 Freshworks CRM and Iterable 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 Freshworks CRM and Iterable: authenticate both systems, choose the objects to sync (such as Freshworks CRM's Lists and Sales activities), map fields visually, and changes propagate both ways in milliseconds — no code required.
Freshworks CRM: REST API. Authentication: API key sent as a Token authorization header. Iterable: Iterable REST API (JSON over HTTPS): Users, Events, Campaigns, Templates, Lists, Catalogs, and Commerce endpoints, plus a bulk Export API for historical data. Authentication: API key sent in the Api-Key HTTP header (also accepted as Api_Key; the name is case-insensitive). Keys are scoped by type - Server-side, JavaScript (Web SDK), or Mobile - with optional JWT-enabled keys. US projects use api.iterable.com; EU projects use api.eu.iterable.com. Stacksync manages authentication, retries, and rate limits on both sides.
Freshworks CRM: Freshworks CRM was rebranded as Freshsales Suite; it shares the Freshsales API surface, with marketing features layered onto the same contact model. Iterable: US and EU projects live on separate data centers: api.iterable.com (USDC) versus api.eu.iterable.com (EDC), and a project's key only works against its own region. Stacksync's field mapping accounts for these differences between Freshworks CRM and Iterable without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Freshworks CRM and Iterable records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Freshworks CRM and Iterable connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Freshworks CRM–Iterable integration in-house.
Yes — Stacksync ships production-grade connectors for both Freshworks CRM and Iterable. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 482 integrations available for Freshworks CRM and Iterable.