Real-time
Real-time sync
Changes in Adobeanalytics or Gladly instantly reflect in both systems. No stale data, no manual imports.
Analytics ⇄ CRM
Adobeanalytics to Gladly integration — real-time data sync
Keep Adobeanalytics and Gladly in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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Why teams connect Adobeanalytics and Gladly
Put live Gladly data behind every dashboard and cohort in Adobeanalytics, and write the segments and scores Adobeanalytics computes back onto the Gladly record — one connection, not a nightly export.
Adobeanalytics is a read-only source: Stacksync reads its data in real time and delivers it into Gladly, so Gladly always reflects the current state of Adobeanalytics — without exports, scripts, or schedulers.
Adobeanalytics turns data into dashboards, cohorts, and metrics; Gladly 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 Topics, Tasks, Customer profiles, Conversations from Gladly 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 Gladly, 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 Feed report metrics into a data model that blends channel performance with conversion and cost data.
- 02 Pull ranked and trended Reports (metrics by dimension) into Postgres or a warehouse so web and marketing analytics join with CRM, ad-spend, and revenue data in SQL.
- 03 Sync Gladly customer profiles with an order database so agents see purchase history and profile updates flow back.
- 04 Mirror conversations and topics into a warehouse for CX analytics and staffing models.
Common sync patterns
A record that outlives edits in the CRM
A continuously synced copy of Gladly's records and activity in Adobeanalytics keeps a queryable history even as records change or age out of the CRM.
Customer context in Adobeanalytics
Accounts, contacts, deals, and activity from Gladly 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 Gladly appear in Adobeanalytics within seconds, so dashboards and cohorts track the current pipeline rather than last night's export.
What you can sync between Adobeanalytics and Gladly
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 | Gladly objects | How this pairing syncs | |
|---|---|---|---|
| Date Ranges Saved relative or rolling date ranges, read via GET /dateranges; read as reusable reporting components for report requests. | Tasks Follow-up work items created from external triggers or synced for workload reporting. | Date Ranges is specific to Adobeanalytics and Tasks to Gladly — 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. | Customer profiles The central entity; merges identifiers like email, phone, and order IDs, which syncs use for matching. | Report Suites is specific to Adobeanalytics and Customer profiles to Gladly — 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. | Conversations Each customer's continuous timeline; status and outcomes sync to CRMs and warehouses. | Users is specific to Adobeanalytics and Conversations to Gladly — 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. | Conversation items Individual messages across voice, SMS, chat, and email attached to the conversation. | Usage and Access Logs is specific to Adobeanalytics and Conversation items to Gladly — each maps to any object or custom field on the other side. | |
| Reports Core reporting endpoint (POST /reports on analytics.adobe.io); returns ranked or trended report data for chosen metrics broken down by dimensions over a date range, with optional segment filters. The main dataset Stacksync reads out. | Agents User records used to attribute work in CX analytics. | Reports is specific to Adobeanalytics and Agents to Gladly — each maps to any object or custom field on the other side. | |
| Dimensions Available report dimensions (eVars, props, and standard dimensions) per report suite, read via GET /dimensions; pulled as reporting metadata to build report requests and mirror the model. | Topics Categorization applied to conversations; the key dimension for contact-driver reporting. | Dimensions is specific to Adobeanalytics and Topics to Gladly — each maps to any object or custom field on the other side. |
How changes propagate between Adobeanalytics and Gladly
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 Gladly 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 Gladly through its API, with automatic retries and rate-limit backoff.
Gladly Adobeanalytics Sub-second propagation
DetectionGladly notifies Stacksync of record changes through webhook events. Webhook event subscriptions for conversation and customer events, supplemented by polling and report exports.
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 Gladly 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.
- Gladly: Subject to the platform's API rate limits.
What ships with Adobeanalytics ⇄ Gladly
Connect Adobeanalytics and Gladly for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Adobeanalytics–Gladly connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Adobeanalytics or Gladly 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 Gladly record.
Observability
Monitoring
Track your Adobeanalytics ⇄ Gladly 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 Gladly.
How the Adobeanalytics and Gladly 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.
Gladly
- Integration surface
- REST API
- Authentication
- API tokens used with basic authentication tied to an agent email
- Change detection
- Webhook event subscriptions for conversation and customer events, supplemented by polling and report exports
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to the platform's API rate limits
How it works
How to connect Adobeanalytics to Gladly — 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 Gladly 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
Gladly
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Adobeanalytics and Gladly 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 ⇄ GladlyCustomers 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 GladlyCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Adobeanalytics and Gladly integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Adobeanalytics and Gladly — 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 Gladly. 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 Gladly: Webhook event subscriptions for conversation and customer events, supplemented by polling and report exports. 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 Gladly side: Topics, Tasks, Customer profiles, Conversations. 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 Gladly. Field mapping and monitoring work the same as for two-way pairs.
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Common patterns for Adobeanalytics and Gladly: A record that outlives edits in the CRM; Customer context in Adobeanalytics; Report on live CRM data. A continuously synced copy of Gladly's records and activity in Adobeanalytics keeps a queryable history even as records change or age out of the CRM.
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
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DPF US-EU-UK-CH
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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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