Connect FullStory and
PostgreSQL with AI

Sync behavioral data, session events, and user interactions from FullStory directly into PostgreSQL. Stop manually exporting CSVs or writing custom ETL scripts to combine digital experience insights with your product and business data.

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.

Stream FullStory session events and user behavior data to PostgreSQL tables

Automatically sync session replays, clicks, page views, and custom events from FullStory into PostgreSQL as they happen. Create a unified behavioral analytics dataset that combines digital experience data with transaction records, user profiles, and product usage metrics for deeper analysis.

Enrich FullStory sessions with customer data from PostgreSQL on session start

When a new FullStory session begins, pull relevant customer attributes, subscription tier, account history, and product usage data from PostgreSQL. Automatically tag sessions with enriched context so product and UX teams can segment and analyze behavior by customer value, tenure, or feature access.

Build conversion funnel reports combining FullStory events and PostgreSQL transaction data

Merge FullStory behavioral events with order, payment, and conversion data stored in PostgreSQL to create complete funnel analytics. Automatically generate reports that show exactly where high-value users drop off and quantify revenue impact of UX friction points.

Alert teams when rage clicks correlate with failed transactions in PostgreSQL

Monitor FullStory for rage click events and cross-reference with failed payment or error records in PostgreSQL. Send immediate alerts to engineering and product teams when UX frustration patterns align with revenue-impacting technical issues, complete with session replay links and transaction details.

Archive historical FullStory behavioral data to PostgreSQL for long-term analysis

Automatically move older FullStory session data, events, and user interactions into PostgreSQL for cost-effective long-term storage. Maintain full access to historical behavioral patterns while keeping FullStory focused on recent sessions, and enable year-over-year UX trend analysis alongside business metrics.

Trigger FullStory session tagging when PostgreSQL records specific user milestones

When your PostgreSQL database captures key user events like upgrade completion, feature activation, or churn risk signals, automatically tag corresponding FullStory sessions. Enable product teams to instantly review session replays for users who hit critical lifecycle moments without manual searching or filtering.

Live in four steps

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

01

Connect your accounts

Authorize FullStory and PostgreSQL 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 FullStory's event schemas and nested behavioral data structures alongside PostgreSQL's relational tables, foreign keys, and indexing patterns.

AI that maps session replay data to normalized database schemas

Redbird automatically translates FullStory's hierarchical session events, custom properties, and user segment data into properly structured PostgreSQL tables with appropriate data types and relationships. The AI handles schema evolution when you add new FullStory custom events, manages upserts for user dimension tables, and optimizes indexing strategies for behavioral analytics queries. Whether you're syncing raw event streams or building aggregated user behavior tables, Redbird maps the data correctly without manual DDL scripting.

Event schema mapping
Nested data flattening
Auto-generated indexes
Incremental sync logic
10×

faster than building custom FullStory export scripts and PostgreSQL data pipelines

No Python ETL jobs, webhook handlers, or manual table maintenance required

Auto-generated reports

Redbird can pull from FullStory and PostgreSQL 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 FullStory or PostgreSQL.

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 FullStory into PostgreSQL, or from PostgreSQL back into FullStory. 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 FullStory session event or PostgreSQL database change, then take action across your entire stack.

FullStory
Triggers & Actions
Trigger

New session started

Fires when a user begins a new session in FullStory with full session metadata and device context.

Trigger

Rage click detected

Triggers when FullStory identifies rage click behavior indicating user frustration on specific elements.

Trigger

Custom event tracked

Activates when specific custom events you've instrumented in FullStory are captured with their properties.

Action

Tag session with attributes

Apply custom tags to FullStory sessions based on external data or business logic conditions.

Action

Create user segment

Automatically add users to FullStory segments based on behavioral patterns or database triggers.

Action

Update user properties

Enrich FullStory user profiles with custom attributes from your PostgreSQL customer data.

PostgreSQL
Triggers & Actions
Trigger

New row inserted

Fires when a new record is added to specified PostgreSQL tables like users, orders, or events.

Trigger

Record updated matching condition

Triggers when existing rows are modified and meet specific criteria like status changes or threshold values.

Trigger

Query result threshold exceeded

Activates when a scheduled SQL query returns results exceeding defined count or aggregate value limits.

Action

Insert behavioral event records

Write FullStory session and interaction data as new rows into PostgreSQL event or analytics tables.

Action

Update user dimension table

Upsert user behavior metrics and FullStory-derived attributes into PostgreSQL customer dimension tables.

Action

Execute custom SQL query

Run parameterized SQL statements to merge, aggregate, or transform FullStory data within PostgreSQL.

FullStory
+
PostgreSQL

Ready to connect your stack?

Sync FullStory behavioral data with PostgreSQL in minutes. Stop writing custom ETL code and start combining user experience insights with your operational data.

Get started → Book a demo