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Analytics ⇄ ERP

Adobeanalytics to DEAR Inventory integration — real-time data sync

Keep Adobeanalytics and DEAR Inventory 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Adobeanalytics and DEAR Inventory

Put DEAR Inventory's records into Adobeanalytics as live data for reporting and dashboards, without nightly exports, and send the segments and metrics Adobeanalytics computes back where DEAR Inventory can use them.

Adobeanalytics is a read-only source: Stacksync reads its data in real time and delivers it into DEAR Inventory, so DEAR Inventory always reflects the current state of Adobeanalytics — without exports, scripts, or schedulers.

ERP data is some of the most requested data for analysis and some of the hardest to pull: the record types are many, the APIs are strict, and export jobs break on every upgrade. Whether DEAR Inventory carries financials, operations, workforce data, or all three, those numbers belong in Adobeanalytics, next to the product, behavioral, and web data the team already measures.

Common use cases

  • 01 Read Users and Usage/Audit logs into a security or governance database for access reviews and tool-usage reporting across the Analytics company.
  • 02 Feed report metrics into a data model that blends channel performance with conversion and cost data.
  • 03 Keep supplier and purchase order data aligned with the accounting system for accrual accuracy.
  • 04 Sync stock levels and product data to e-commerce storefronts and a CRM so sales quotes reflect real availability.

Common sync patterns

Where DEAR Inventory is the HR system of record: workforce and cost analysis

Worker and organization data from DEAR Inventory syncs into Adobeanalytics for headcount, cost, and utilization reporting alongside other company data.

Write-back where DEAR Inventory exposes writable fields: segments and scores return

Segments, scores, or metrics computed in Adobeanalytics sync onto the matching records in DEAR Inventory, so operations act on what the analysis found.

Where DEAR Inventory holds the books: revenue and finance dashboards from live data

Financial records from DEAR Inventory land in Adobeanalytics as they change, so revenue, margin, and spend dashboards read current figures rather than last night's export.

What you can sync between Adobeanalytics and DEAR Inventory

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 DEAR Inventory objects How this pairing syncs
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. Suppliers Vendor records referenced on purchase orders. Dimensions is specific to Adobeanalytics and Suppliers to DEAR Inventory — each maps to any object or custom field on the other side.
Metrics Standard metrics available for a report suite, read via GET /metrics; read as metadata to construct report requests and document available measures. Stock adjustments and transfers Inventory movement transactions that explain changes in availability. Metrics is specific to Adobeanalytics and Stock adjustments and transfers to DEAR Inventory — each maps to any object or custom field on the other side.
Calculated Metrics User-defined derived metrics, read via GET /calculatedmetrics; mirrored so downstream tools reference the same calculated-metric definitions. Assemblies / Production Bill-of-material and production records for light manufacturing workflows. Calculated Metrics is specific to Adobeanalytics and Assemblies / Production to DEAR Inventory — 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. Locations Warehouses and bins that scope stock levels and fulfillment. Segments is specific to Adobeanalytics and Locations to DEAR Inventory — 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. Products SKU records with pricing, suppliers, and bill-of-material links; the master data most syncs start from. Date Ranges is specific to Adobeanalytics and Products to DEAR Inventory — 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. Stock levels Per-location availability derived from inventory transactions; read-heavy in storefront syncs. Report Suites is specific to Adobeanalytics and Stock levels to DEAR Inventory — each maps to any object or custom field on the other side.

How changes propagate between Adobeanalytics and DEAR Inventory

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 DEAR Inventory 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 DEAR Inventory through its API, with automatic retries and rate-limit backoff.

DEAR Inventory Adobeanalytics Sub-second propagation

DetectionDEAR Inventory notifies Stacksync of record changes through webhook events. Polling with modified-since filters.

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 DEAR Inventory 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.
  • DEAR Inventory: Subject to the platform's per-account API rate limits.
What ships with Adobeanalytics ⇄ DEAR Inventory

Connect Adobeanalytics and DEAR Inventory for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Adobeanalytics–DEAR Inventory connection.

Real-time

Real-time sync

Changes in Adobeanalytics or DEAR Inventory instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Adobeanalytics or DEAR Inventory 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 DEAR Inventory record.

Observability

Monitoring

Track your Adobeanalytics ⇄ DEAR Inventory 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 DEAR Inventory.

How the Adobeanalytics and DEAR Inventory 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.

DEAR Inventory

Integration surface
REST API
Authentication
Account ID plus application key sent as request headers
Change detection
Polling with modified-since filters; webhook notifications for sale and purchase events are available on subscriptions that include the Automation module
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's per-account API rate limits
How it works

How to connect Adobeanalytics to DEAR Inventory — 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.

  1. 01

    Connect your apps

    Authenticate Adobeanalytics and DEAR Inventory with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Adobeanalytics connected
    DEAR Inventory connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Adobeanalytics and DEAR Inventory 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Adobeanalytics ⇄ DEAR Inventory
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Adobeanalytics DEAR Inventory
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Adobeanalytics and DEAR Inventory integration FAQ

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.

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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 339 integrations available for Adobeanalytics and DEAR Inventory.

Popular · 6 of 339
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