Connect Adobe Analytics and
MongoDB with AI

Sync behavioral data from Adobe Analytics directly into MongoDB for product development, personalization engines, and operational analytics. Stop writing custom ETL scripts to export event data or manually rebuilding segment definitions in your application database.

No code required
Live in minutes
SOC 2 Type II

What you can automate today

Redbird gives your team ready-to-run workflows — just connect your accounts and go.

Export raw clickstream events to MongoDB for product feature analysis

Stream Adobe Analytics event data into MongoDB collections as it's captured. Store full event payloads with custom eVars, props, and context data for product teams to query without Analytics seat licenses. Keep documents updated as retroactive processing occurs.

Sync Adobe Analytics audience segments to MongoDB for application personalization

Push segment membership from Adobe Analytics into user documents in MongoDB when visitors qualify. Enable real-time personalization in your application using behavioral criteria defined in Analytics. Update membership as segments are recalculated daily.

Archive historical Adobe Analytics attribution data to MongoDB document store

Export channel attribution reports and conversion paths from Adobe Analytics into MongoDB for long-term storage and custom analysis. Preserve nested journey data structures that flatten in traditional warehouses. Run historical attribution queries without hitting Analytics API limits.

Push MongoDB product events back into Adobe Analytics for unified measurement

Send server-side events captured in MongoDB collections to Adobe Analytics as custom events. Combine application backend data with web analytics for complete funnel visibility. Map MongoDB document fields to Analytics dimensions automatically.

Enrich Adobe Analytics reports with MongoDB customer profile attributes

Pull customer data from MongoDB user collections into Adobe Analytics as classification data. Add subscription tier, account age, or product usage attributes to Analytics dimensions. Update classifications when MongoDB documents change without manual file uploads.

Alert engineering when Adobe Analytics data quality issues appear in MongoDB pipeline

Monitor Adobe Analytics data landing in MongoDB for schema changes, null values, or unexpected event volumes. Notify teams when eVar mappings break or tracking implementations change. Query both systems to diagnose data pipeline failures faster.

Live in four steps

No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.

01

Connect your accounts

Authorize Adobe Analytics and MongoDB with OAuth or API credentials. Redbird never stores your data — it just passes through.

02

Describe what you want

Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.

03

Review and activate

Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.

04

Let it run — and iterate

Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.

Built for data-driven teams

Redbird understands Adobe Analytics' nested event architecture and MongoDB's flexible document schemas — so you can move behavioral data without flattening it or losing context.

AI that maps Analytics events to MongoDB documents automatically

Redbird interprets Adobe Analytics' eVars, props, list variables, and merchandising structures, then intelligently maps them to MongoDB document fields. It preserves nested product arrays, maintains context data hierarchies, and handles Analytics' retroactive processing by updating documents as data is reprocessed. When Analytics schemas evolve or new custom dimensions are added, Redbird adapts MongoDB collections without manual schema migrations.

eVars → document fields
Nested product arrays
Context data preservation
Retroactive updates
10×

faster than building custom Adobe Analytics to MongoDB export pipelines

No Data Feeds parsing, API pagination logic, or document schema version management required

Auto-generated reports

Redbird can pull from Adobe Analytics and MongoDB simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.

Trigger-based alerts

Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either Adobe Analytics or MongoDB.

Enterprise-grade security

SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.

Bidirectional sync

Push data from Adobe Analytics into MongoDB, or from MongoDB back into Adobe Analytics. Resolve conflicts with configurable merge rules.

Full audit trail

Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.

Triggers & actions for every team

Start from any Adobe Analytics event or MongoDB document change and automate what happens next across your entire stack.

Adobe Analytics
Triggers & Actions
Trigger

Segment membership changes

When a visitor enters or exits an Adobe Analytics segment based on behavioral criteria.

Trigger

Custom event threshold reached

When a specific custom event count exceeds a defined threshold for a user or session.

Trigger

Data Feed file available

When Adobe Analytics completes a new hourly or daily Data Feed export file.

Action

Send server call

Post a server-side event to Adobe Analytics with custom dimensions and metrics.

Action

Update classification data

Upload or modify classification values for Analytics dimensions via API.

Action

Create calculated metric

Programmatically define a new calculated metric based on workflow conditions.

MongoDB
Triggers & Actions
Trigger

Document inserted

When a new document is added to a specified MongoDB collection.

Trigger

Field value changes

When a specific field in a document is updated to a new value using change streams.

Trigger

Aggregation threshold crossed

When an aggregation pipeline result exceeds a defined threshold or condition.

Action

Insert document

Create a new document in a MongoDB collection with specified field values.

Action

Update nested fields

Modify specific fields within a document, including nested objects and arrays.

Action

Bulk write operations

Execute multiple insert, update, or delete operations in a single batch.

Adobe Analytics
+
MongoDB

Ready to connect your stack?

Stop writing custom scripts to move Adobe Analytics behavioral data into MongoDB. Redbird syncs clickstream events, segments, and attribution data into flexible document structures your product and engineering teams can actually use.

Get started → Book a demo