Connect Heap and
MongoDB with AI

Redbird AI syncs behavioral event data from Heap into MongoDB automatically, so your team can stop building custom ETL scripts to move interaction data into your operational database. Store auto-captured user sessions, funnel events, and segmentation data in flexible document format for product analytics and downstream activation.

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.

Archive Heap interaction events to MongoDB collections in real-time

Automatically stream all user clicks, taps, pageviews, and custom events captured by Heap into MongoDB collections. Redbird maps Heap's event properties to nested document structures, preserving full interaction context and session metadata for long-term storage and operational querying.

Sync conversion funnel data from Heap to MongoDB for product analysis

Pull completed funnel data and drop-off events from Heap and write them to MongoDB as structured documents. Enable product teams to query conversion paths, analyze step completion rates, and join behavioral data with application state stored in MongoDB.

Build Heap user segments from MongoDB application data and user attributes

Query MongoDB for user profile data, subscription status, or feature flags, then push matching user IDs back to Heap to create behavioral segments. Combine operational data stored in MongoDB with Heap's retroactive analysis to target users based on both application state and interaction patterns.

Capture session replay metadata from Heap and store in MongoDB for support workflows

When Heap identifies high-friction sessions or error events, automatically log session IDs, user paths, and interaction timelines to MongoDB. Enable customer success teams to query support-relevant sessions alongside ticket data and operational logs stored in your database.

Trigger product alerts when MongoDB document changes correlate with Heap drop-offs

Monitor MongoDB collections for application errors, feature rollouts, or configuration changes, then cross-reference with Heap behavioral data to detect correlated user friction. Redbird identifies when database-level events coincide with increased abandonment or decreased engagement in Heap.

Automate behavioral cohort exports from Heap to MongoDB for ML feature engineering

Export user segments, event sequences, and interaction patterns from Heap into MongoDB collections formatted for machine learning pipelines. Redbird structures Heap's behavioral data as feature vectors in MongoDB documents, ready for model training or recommendation engines.

Live in four steps

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

01

Connect your accounts

Authorize Heap 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 AI understands Heap's auto-captured event schemas and MongoDB's flexible document model, mapping behavioral interactions to nested structures without manual transformation scripts.

Native understanding of Heap events and MongoDB document schemas

Redbird automatically translates Heap's event properties, session metadata, and user identifiers into MongoDB document structures that preserve nested interaction context. The AI handles schema evolution as Heap captures new properties, creating or updating MongoDB fields without breaking existing queries. Whether you're archiving pageview hierarchies, storing funnel step arrays, or embedding user segment attributes, Redbird maps behavioral data to MongoDB collections that match your operational data model.

Auto-map event properties to nested documents
Handle Heap schema changes dynamically
Preserve session context in MongoDB arrays
Join behavioral and operational data models
10×

faster than building custom Heap-to-MongoDB ETL pipelines

No Python scripts, data engineers, or schema mapping configs required

Auto-generated reports

Redbird can pull from Heap 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 Heap 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 Heap into MongoDB, or from MongoDB back into Heap. 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 automations from any Heap event or MongoDB collection change, then take action across your stack.

Heap
Triggers & Actions
Trigger

New event captured

Fires when Heap auto-captures a user interaction like a click, form submission, or pageview.

Trigger

User enters segment

Triggers when a user meets behavioral criteria and is added to a Heap segment.

Trigger

Funnel completion detected

Fires when a user completes all steps in a defined conversion funnel in Heap.

Action

Create user segment

Build a new behavioral segment in Heap based on user IDs or criteria from other systems.

Action

Add user properties

Enrich Heap user profiles with custom attributes pulled from operational databases or CRMs.

Action

Export event data

Pull raw interaction events, session data, or funnel metrics from Heap for external analysis.

MongoDB
Triggers & Actions
Trigger

Document inserted

Fires when a new document is added to a specified MongoDB collection.

Trigger

Document updated

Triggers when an existing MongoDB document is modified or a specific field changes.

Trigger

Query threshold reached

Fires when a MongoDB query returns a count or aggregate value that crosses a defined threshold.

Action

Insert document

Write new documents to MongoDB collections with nested data from Heap events or other sources.

Action

Update document fields

Modify existing MongoDB documents by updating specific fields or nested array elements.

Action

Run aggregation query

Execute MongoDB aggregation pipelines to compute metrics, group documents, or join collections.

Heap
+
MongoDB

Ready to connect your stack?

Sync Heap behavioral data with MongoDB in minutes. Stop writing custom scripts to move interaction events into your operational database—Redbird handles the schema mapping and transformation automatically.

Get started → Book a demo