Real-time
Two-way sync
Changes in Customer.io or Jira instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Developer tools
Customer.io to Jira integration — real-time, two-way sync
Keep Customer.io and Jira in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from MuleSoft
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Customer.io and Jira
Connect the tickets, records, and events in Customer.io to the systems engineering runs in Jira, kept current in real time and in both directions.
Customer.io is where customer-facing and operational work happens: the tickets, conversations, contacts, and records a team touches every day. Jira is where engineering runs the systems behind that work — the issue trackers, message brokers, directories, and monitors that keep services moving. The same items, people, and events matter to both, and when the only link between them is a manual hand-off or an overnight export, each side acts on a stale copy of what the other already knows.
Stacksync syncs Newsletters, People, Objects, Events in Customer.io with Projects, Comments, Worklogs, Sprints in Jira field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync maps the overlap, resolves conflicts by rules you set, and keeps every copy current, with no middleware to build and no API limits to babysit.
Common use cases
- 01 Push CRM segments and lead status into Customer.io so messaging respects sales stage.
- 02 Land delivery and engagement events (sent, opened, clicked, bounced) from reporting webhooks into a warehouse for attribution analysis.
- 03 Consolidate multiple Jira Projects or sites into one database, mapping Projects, Components, and Versions for cross-team reporting.
- 04 Two-way sync Issues and their status, assignee, and story points with a Postgres database so teams query and update sprint data in SQL.
Common sync patterns
Where Jira watches operations: live volumes for visibility
Open items, throughput, and error counts from Customer.io replicate into Jira, so the operational view reflects what is actually happening in the business.
One shared record across both systems
Where both systems keep records for the same contacts, items, or users, a correction in either updates the other, ending dual maintenance and keeping IDs aligned for every other flow.
Where Jira tracks engineering work: requests become issues
A ticket or request raised in Customer.io opens or updates a matching issue in Jira, and status, comments, and resolution flow back, so support and engineering work the same item instead of retyping it.
What you can sync between Customer.io and Jira
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.
| Customer.io objects | Jira objects | How this pairing syncs | |
|---|---|---|---|
| Campaigns Automated workflows whose membership and metrics can be read via the App API. | Components Sub-project categories used to route and group Issues; synced so ownership and triage stay consistent across tools. | Campaigns is specific to Customer.io and Components to Jira — each maps to any object or custom field on the other side. | |
| Broadcasts One-off sends to segments or audiences, triggerable via API. | Users Account records referenced as reporters, assignees, and watchers; read to resolve accountId to a person when mapping Issue ownership. | Broadcasts is specific to Customer.io and Users to Jira — each maps to any object or custom field on the other side. | |
| Deliveries / Messages Per-recipient message records whose lifecycle events flow out through reporting webhooks. | Issues Core work items (stories, bugs, tasks, epics, sub-tasks); synced two-way with databases and other trackers, keyed by issue key with an updated field for incrementals. | Deliveries / Messages is specific to Customer.io and Issues to Jira — each maps to any object or custom field on the other side. | |
| Newsletters Recurring email sends with performance metrics available for reporting syncs. | Projects Containers that group Issues, workflows, and permissions; usually read to segment syncs by team, or written when standing up a new project. | Newsletters is specific to Customer.io and Projects to Jira — each maps to any object or custom field on the other side. | |
| People Profiles with attributes, matched on identifiers like id or email; the main write target of data syncs. | Comments Discussion threads on Issues; in v3 the body is Atlassian Document Format JSON, so rich text is preserved when syncing to and from other systems. | People is specific to Customer.io and Comments to Jira — each maps to any object or custom field on the other side. | |
| Objects Non-person entities such as accounts or companies, related to people for account-level messaging. | Worklogs Time-tracking entries against Issues; read into warehouses for effort and capacity reporting, or written back from timesheet tools. | Objects is specific to Customer.io and Worklogs to Jira — each maps to any object or custom field on the other side. |
How changes propagate between Customer.io and Jira
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.
Customer.io Jira Sub-second propagation
DetectionCustomer.io notifies Stacksync of record changes through webhook events. Reporting webhooks push message and delivery events.
DeliveryEach detected change is written to Jira through its API, with automatic retries and rate-limit backoff.
Jira Customer.io Sub-second propagation
DetectionJira notifies Stacksync of record changes through webhook events. Jira webhooks (jira:issue_created / _updated / _deleted plus comment and worklog events) for near-real-time.
DeliveryEach detected change is written to Customer.io through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Customer.io: Subject to per-API rate limits documented by Customer.io.
- Jira: Cost-based (points) model; 429 responses return Retry-After and X-RateLimit-* headers. JQL search costs far more than single-issue reads.
What ships with Customer.io ⇄ Jira
Connect Customer.io and Jira for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Customer.io–Jira connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Customer.io or Jira data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Customer.io or Jira record.
Observability
Monitoring
Track your Customer.io ⇄ Jira sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Customer.io and Jira.
How the Customer.io and Jira connectors work
Customer.io
- Integration surface
- REST APIs split by purpose: Track API for data ingestion, App API for campaigns, people lookups, and messages
- Authentication
- Basic auth with site ID and API key for the Track API; bearer token for the App API
- Change detection
- Reporting webhooks push message and delivery events; person attribute changes are not streamed and require source-side detection
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to per-API rate limits documented by Customer.io
Jira
- Integration surface
- REST API v2 and v3 plus the Jira Software (Agile) REST API
- Authentication
- OAuth 2.0 (3LO) for apps, or Basic auth with an Atlassian account email plus API token
- Change detection
- Jira webhooks (jira:issue_created / _updated / _deleted plus comment and worklog events) for near-real-time; incremental JQL polling on the issue updated timestamp as a best-effort reconciliation fallback.
- Capabilities
- read · write · webhooks
- Rate limits
- Cost-based (points) model; 429 responses return Retry-After and X-RateLimit-* headers. JQL search costs far more than single-issue reads.
How it works
How to connect Customer.io to Jira — three steps, no code
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.
- 01
Connect your apps
Authenticate Customer.io and Jira with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Customer.io
connected
Jira
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Customer.io and Jira 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.
objects · Customer.io ⇄ JiraCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Customer.io JiraCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Customer.io and Jira integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Customer.io and Jira: authenticate both systems, choose the objects to sync (such as Customer.io's Campaigns and Broadcasts), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Customer.io and Jira: Where Jira watches operations: live volumes for visibility; One shared record across both systems; Where Jira tracks engineering work: requests become issues. Open items, throughput, and error counts from Customer.io replicate into Jira, so the operational view reflects what is actually happening in the business.
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Customer.io: REST APIs split by purpose: Track API for data ingestion, App API for campaigns, people lookups, and messages. Authentication: Basic auth with site ID and API key for the Track API; bearer token for the App API. Jira: REST API v2 and v3 plus the Jira Software (Agile) REST API. Authentication: OAuth 2.0 (3LO) for apps, or Basic auth with an Atlassian account email plus API token. Stacksync manages authentication, retries, and rate limits on both sides.
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Customer.io: Reporting webhooks emit granular message lifecycle events, which is the practical way to get engagement data out at scale. Jira: The v3 REST API represents description and comment bodies as Atlassian Document Format (ADF) JSON; v2 uses plain-text / wiki-markup strings. Stacksync's field mapping accounts for these differences between Customer.io and Jira without custom code.
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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 Customer.io and Jira records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Customer.io and Jira connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Customer.io–Jira integration in-house.
SECURITY
Security teams trust Stacksync
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
→ SECURITY WITH BENEFITS
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:
Related integrations
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