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Analytics ⇄ CRM

Adobeanalytics to Apollo.io integration — real-time data sync

Keep Adobeanalytics and Apollo.io 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 Apollo.io

Put live Apollo.io data behind every dashboard and cohort in Adobeanalytics, and write the segments and scores Adobeanalytics computes back onto the Apollo.io record — one connection, not a nightly export.

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

Adobeanalytics turns data into dashboards, cohorts, and metrics; Apollo.io 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 Deals (Opportunities), Tasks and calls, Custom fields, Contacts from Apollo.io 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 Apollo.io, 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 Land sequence enrollment status and outcomes in a warehouse for outbound performance reporting.
  • 04 Deduplicate contacts across Apollo and the CRM by syncing on email as the match key.

Common sync patterns

One customer across analytics and CRM

The same account or person is keyed consistently in both systems, so a profile or row in Adobeanalytics lines up with the contact or account in Apollo.io.

A record that outlives edits in the CRM

A continuously synced copy of Apollo.io'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 Apollo.io sync into Adobeanalytics, so metrics and dashboards group by real customers, segments, and stage instead of anonymous IDs.

What you can sync between Adobeanalytics and Apollo.io

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 Apollo.io 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. Contacts People saved to your Apollo account, synced with emails, phone numbers, and enrichment fields. Date Ranges is specific to Adobeanalytics and Contacts to Apollo.io — 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 with firmographic attributes, matched to CRM accounts during sync. Report Suites is specific to Adobeanalytics and Accounts to Apollo.io — 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. People (database records) Prospects from Apollo's global database, pulled into downstream systems once enriched or saved. Users is specific to Adobeanalytics and People (database records) to Apollo.io — 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. Sequences Outreach cadences (emailer campaigns in the API); enrollment status is read to track which contacts are being worked. Usage and Access Logs is specific to Adobeanalytics and Sequences to Apollo.io — 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. Deals (Opportunities) Pipeline records that can be read and written to keep Apollo aligned with the CRM of record. Reports is specific to Adobeanalytics and Deals (Opportunities) to Apollo.io — 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. Tasks and calls Rep activity records synced for activity reporting and coaching workflows. Dimensions is specific to Adobeanalytics and Tasks and calls to Apollo.io — each maps to any object or custom field on the other side.

How changes propagate between Adobeanalytics and Apollo.io

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 Apollo.io 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 Apollo.io through its API, with automatic retries and rate-limit backoff.

Apollo.io Adobeanalytics Interval-based propagation

DetectionStacksync polls Apollo.io for changes on an incremental schedule, reading only records changed since the previous pass. Polling on updated-at timestamps.

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 Apollo.io 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.
  • Apollo.io: Rate limits and enrichment credits vary by plan; bulk endpoints are throttled separately from single-record calls.
What ships with Adobeanalytics ⇄ Apollo.io

Connect Adobeanalytics and Apollo.io for flexible, real-time data sync.

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Adobeanalytics or Apollo.io 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 Apollo.io record.

Observability

Monitoring

Track your Adobeanalytics ⇄ Apollo.io 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 Apollo.io.

How the Adobeanalytics and Apollo.io 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.

Apollo.io

Integration surface
REST API
Authentication
API key (passed in request headers); master keys unlock account-wide endpoints
Change detection
Polling on updated-at timestamps; webhook callbacks exist only for delivering asynchronous enrichment results, not as a general change-event stream
Capabilities
read · write
Rate limits
Rate limits and enrichment credits vary by plan; bulk endpoints are throttled separately from single-record calls
How it works

How to connect Adobeanalytics to Apollo.io — 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 Apollo.io 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
    Apollo.io connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Adobeanalytics and Apollo.io 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 ⇄ Apollo.io
    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 Apollo.io
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Adobeanalytics and Apollo.io 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 Apollo.io.

Popular · 5 of 339
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