Real-time
Real-time sync
Changes in Adobeanalytics or Salesforce instantly reflect in both systems. No stale data, no manual imports.
Analytics ⇄ CRM
Adobeanalytics to Salesforce integration — real-time data sync
Keep Adobeanalytics 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.
- 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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Why teams connect Adobeanalytics and Salesforce
Put live Salesforce data behind every dashboard and cohort in Adobeanalytics, and write the segments and scores Adobeanalytics computes back onto the Salesforce record — one connection, not a nightly export.
Adobeanalytics is a read-only source: Stacksync reads its data in real time and delivers it into Salesforce, so Salesforce always reflects the current state of Adobeanalytics — without exports, scripts, or schedulers.
Adobeanalytics turns data into dashboards, cohorts, and metrics; Salesforce is where customers, contacts, deals, and activity actually live and change. The two meet wherever a number is really about a specific account, segment, or stage — yet most teams feed the CRM into analytics as a nightly extract or a hand-maintained connector, so the reporting lags the business and can't be sliced by the customers and segments that matter.
Stacksync syncs Tasks and Events, Products and Price Books, Custom Objects, Accounts from Salesforce into Adobeanalytics field by field and within seconds, so every dashboard and cohort runs on current records instead of a stale copy. Because the connection runs both ways, the cohorts, scores, and metrics computed in Adobeanalytics write back to fields in Salesforce, landing where the people working accounts can see them. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set.
Common use cases
- 01 Load report data on a schedule into a reporting database for executive dashboards without manual Analysis Workspace exports or Report Builder pulls.
- 02 Sync Segment definitions into a marketing database so downstream tools target the same audiences Adobe Analytics computes.
- 03 Consolidate multiple Salesforce orgs into a single database for cross-org reporting after an acquisition.
- 04 Sync Accounts, Contacts, and Opportunities bi-directionally with Postgres so engineering teams read and write CRM data with plain SQL.
Common sync patterns
Customer context in Adobeanalytics
Accounts, contacts, deals, and activity from Salesforce sync into Adobeanalytics, so metrics and dashboards group by real customers, segments, and stage instead of anonymous IDs.
Report on live CRM data
New records and status changes in Salesforce appear in Adobeanalytics within seconds, so dashboards and cohorts track the current pipeline rather than last night's export.
Where Salesforce accepts updates: segments and scores back on the record
Cohorts, scores, and computed metrics from Adobeanalytics sync onto fields in Salesforce, putting the analysis where reps and owners actually work the accounts.
What you can sync between Adobeanalytics and Salesforce
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.
| Adobeanalytics objects | Salesforce objects | How this pairing syncs | |
|---|---|---|---|
| Calculated Metrics User-defined derived metrics, read via GET /calculatedmetrics; mirrored so downstream tools reference the same calculated-metric definitions. | Tasks and Events Activity records; usually read-only in syncs to feed activity reporting. | Calculated Metrics is specific to Adobeanalytics and Tasks and Events to Salesforce — each maps to any object or custom field on the other side. | |
| Segments Saved segment definitions used to filter reports, read via GET /segments; cataloged and reused so downstream systems target the same audiences. | Products and Price Books Catalog and pricing data; commonly mastered in an ERP and written into Salesforce. | Segments is specific to Adobeanalytics and Products and Price Books to Salesforce — each maps to any object or custom field on the other side. | |
| Date Ranges Saved relative or rolling date ranges, read via GET /dateranges; read as reusable reporting components for report requests. | Custom Objects Org-specific tables with the __c suffix; discoverable via describe metadata so field mappings can be generated. | Date Ranges is specific to Adobeanalytics and Custom Objects to Salesforce — each maps to any object or custom field on the other side. | |
| Report Suites Report suite and virtual report suite configuration read via the /collections/suites endpoint; enumerated to list the report suites available to the company. | Accounts Company records that anchor most syncs; typically mapped to customer tables in a database or ERP. | Report Suites is specific to Adobeanalytics and Accounts to Salesforce — each maps to any object or custom field on the other side. | |
| Users Users in the Analytics company, read via GET /users and /users/me; loaded for access, entitlement, and identity reconciliation reporting. | Contacts People linked to Accounts; synced two-way with marketing, support, and warehouse person records. | Users is specific to Adobeanalytics and Contacts to Salesforce — each maps to any object or custom field on the other side. | |
| Usage and Access Logs Admin audit and usage logs of report and tool activity, read via the usage/audit-log endpoints; loaded for security, governance, and adoption reporting. | Leads Unqualified prospects; often written into Salesforce from enrichment or product-signup pipelines. | Usage and Access Logs is specific to Adobeanalytics and Leads to Salesforce — each maps to any object or custom field on the other side. |
How changes propagate between Adobeanalytics and Salesforce
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.
Adobeanalytics Salesforce Interval-based propagation
DetectionStacksync polls Adobeanalytics for changes on an incremental schedule, reading only records changed since the previous pass. Pull-based over a date range: reports are requested for a from/to window and re-queried on a schedule.
DeliveryEach detected change is written to Salesforce through its API, with automatic retries and rate-limit backoff.
Salesforce Adobeanalytics Sub-second propagation
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).
DeliveryAdobeanalytics does not accept inbound record writes, so this direction carries requests rather than records: Adobeanalytics's output flows back as field updates on the originating Salesforce records.
Rate-limit considerations
- Adobeanalytics: The Analytics 2.0 API enforces 12 requests per 6 seconds (about 120 per minute) per user; exceeding it returns HTTP 429 with error_code 429050. A separate per-report-suite reporting-engine throttle can slow large requests without returning an error.
- Salesforce: Daily API request allocations vary by edition and license count.
What ships with Adobeanalytics ⇄ Salesforce
Connect Adobeanalytics and Salesforce for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Adobeanalytics–Salesforce connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Adobeanalytics or Salesforce 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 Adobeanalytics or Salesforce record.
Observability
Monitoring
Track your Adobeanalytics ⇄ Salesforce sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Adobeanalytics and Salesforce.
How the Adobeanalytics and Salesforce connectors work
Adobeanalytics
- Integration surface
- Analytics 2.0 REST API on analytics.adobe.io for reporting and components; Data Feeds and Data Warehouse for raw hit-level export; Data Insertion and Bulk Data Insertion (CSV) APIs for inbound server-side collection.
- Authentication
- OAuth Server-to-Server via the Adobe Developer Console (JWT service-account auth was deprecated January 1, 2025). The company's global company ID is sent in the x-proxy-global-company-id header, and the integration needs at least the Report Suites, Metrics, and Dimensions permission groups.
- Change detection
- Pull-based over a date range: reports are requested for a from/to window and re-queried on a schedule. No change-data-capture feed or report-data webhooks; Adobe recommends not polling for new data faster than every 30 minutes and caching results.
- Capabilities
- read
- Rate limits
- The Analytics 2.0 API enforces 12 requests per 6 seconds (about 120 per minute) per user; exceeding it returns HTTP 429 with error_code 429050. A separate per-report-suite reporting-engine throttle can slow large requests without returning an error.
Salesforce
- Integration surface
- 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
- Apex triggers are used whenever possible (Salesforce actively notifies Stacksync via an Apex trigger + callout class + remote site setting)
- Capabilities
- read · write · CDC
- Rate limits
- Daily API request allocations vary by edition and license count.
How it works
How to connect Adobeanalytics to Salesforce — 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 Adobeanalytics 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.
Adobeanalytics
connected
Salesforce
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Adobeanalytics 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.
objects · Adobeanalytics ⇄ SalesforceCustomers 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.
Adobeanalytics SalesforceCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Adobeanalytics and Salesforce integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Adobeanalytics and Salesforce — Adobeanalytics is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Adobeanalytics and Salesforce. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Adobeanalytics: Pull-based over a date range: reports are requested for a from/to window and re-queried on a schedule. No change-data-capture feed or report-data webhooks; Adobe recommends not polling for new data faster than every 30 minutes and caching results. 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.
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On the Adobeanalytics side: Users, Usage and Access Logs, Reports, Dimensions, plus custom fields where Adobeanalytics exposes them. On the Salesforce side: Tasks and Events, Products and Price Books, Custom Objects, Accounts. Stacksync auto-detects both schemas and converts types between the two systems.
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Adobeanalytics is a read-only source, so this integration runs one-way: Stacksync reads from Adobeanalytics in real time and delivers into Salesforce. Field mapping and monitoring work the same as for two-way pairs.
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Common patterns for Adobeanalytics and Salesforce: Customer context in Adobeanalytics; Report on live CRM data; Where Salesforce accepts updates: segments and scores back on the record. Accounts, contacts, deals, and activity from Salesforce sync into Adobeanalytics, so metrics and dashboards group by real customers, segments, and stage instead of anonymous IDs.
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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