Connect FullStory and
Redshift with AI

Redbird AI syncs FullStory session data and behavioral events directly into Redshift—automatically. Stop writing custom ETL scripts to export user interactions, or manually stitching together session replays with conversion data across your data warehouse.

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 behavioral events to Redshift in near real-time

Automatically sync click events, rage clicks, page views, and custom user actions from FullStory into Redshift tables as they occur. Join session-level behavior data with transaction records, marketing attribution, and product usage metrics for unified customer journey analysis.

Archive complete session replay metadata for long-term storage and compliance

Capture session IDs, URLs, timestamps, user segments, and session duration from FullStory into Redshift for historical record-keeping. Maintain audit trails of user interactions beyond FullStory's retention window while keeping metadata queryable alongside other business data.

Build conversion funnel reports combining FullStory UX data with warehouse metrics

Pull FullStory friction metrics—scroll depth, dead clicks, form abandonment rates—into Redshift and join them with revenue, cart value, and customer lifetime value tables. Quantify exactly how UX issues impact business outcomes without manual CSV exports or BI tool limitations.

Alert product teams when high-value user segments encounter rage clicks

Monitor FullStory event streams for rage click patterns or error states among VIP customers or trial users identified in Redshift. Trigger notifications when behavioral signals indicate frustration in critical conversion flows, using warehouse segmentation logic to prioritize which issues matter most.

Enrich FullStory sessions with customer tier and product usage context from Redshift

Push account attributes, subscription status, feature entitlements, and usage patterns from Redshift back into FullStory as user properties. Enable teams to filter session replays by revenue tier, activation status, or product engagement level without duplicating data across platforms.

Automate daily UX health metrics rollups for executive dashboards

Aggregate FullStory metrics like average session duration, frustration signals per page, and conversion flow completion rates into Redshift summary tables on a schedule. Feed pre-calculated UX KPIs to Tableau, Looker, or custom dashboards without query performance bottlenecks or manual data prep.

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 Redshift 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 behavioral data structures alongside Redshift's columnar tables and sort keys—so you never write mapping logic or transformation code.

AI that speaks both FullStory events and Redshift schemas

Redbird automatically maps FullStory's nested event payloads—session properties, user attributes, page data, and custom event fields—into Redshift's columnar format. It handles schema evolution when you add new FullStory custom events, manages incremental loads based on event timestamps, and optimizes dist keys and sort keys for session-level analytics queries. No dbt models, no Fivetran configs, no Airflow DAGs.

Session event streams
Custom property mapping
Incremental sync logic
Query optimization
10×

faster than building FullStory-to-Redshift pipelines with ETL tools and custom scripts

No Python transformations, S3 staging buckets, or COPY command troubleshooting required

Auto-generated reports

Redbird can pull from FullStory and Redshift 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 Redshift.

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 Redshift, or from Redshift 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 Redshift query result—Redbird handles the rest.

FullStory
Triggers & Actions
Trigger

New rage click detected

Fires when FullStory captures rage click behavior on any page or element.

Trigger

Session with frustration signals ends

Triggers when a user session concludes with dead clicks, error clicks, or thrashed cursor activity.

Trigger

Custom event tracked

Activates when a specific FullStory custom event fires, like form_submitted or checkout_started.

Action

Create user segment

Add users to a FullStory segment based on external data or behavioral conditions.

Action

Tag session with metadata

Apply custom tags or properties to FullStory sessions for filtering and analysis.

Action

Log custom event

Send custom events back to FullStory from external systems to enrich session context.

Redshift
Triggers & Actions
Trigger

Query result threshold met

Fires when a scheduled Redshift query returns row counts or values exceeding defined limits.

Trigger

New rows inserted in table

Triggers when data lands in specified Redshift tables, like customer_accounts or transactions.

Trigger

Data quality check fails

Activates when Redshift query results indicate missing values, duplicates, or unexpected patterns.

Action

Insert rows into table

Write new records to Redshift tables with proper data types and column mapping.

Action

Update existing records

Modify rows in Redshift based on keys or conditions, merging new data with existing records.

Action

Run SQL query

Execute custom SQL statements for transformations, aggregations, or data cleanup operations.

FullStory
+
Redshift

Ready to connect your stack?

Stop building and maintaining FullStory-to-Redshift data pipelines. Redbird AI syncs behavioral events, session data, and UX metrics into your warehouse automatically—so your team can focus on analysis instead of ETL.

Get started → Book a demo