Fullstory connector
Automate Fullstory Integrations to Turn Session Data Into Actionable Workflows
Connect Fullstory to your CRM, support tools, and analytics stack to act on behavioral data in real time.
What can you do with the Fullstory connector?
Fullstory captures behavioral data — session replays, rage clicks, dead clicks, and user journeys — that shows exactly where users struggle in your product. But that insight sits idle until it reaches the tools your teams actually use: Salesforce, HubSpot, Zendesk, Slack. With tray.ai, you can build automated workflows that trigger on Fullstory events, enrich records with session context, and route critical signals to the right people without anyone doing it by hand.
Automate & integrate Fullstory
Automating Fullstory business process or integrating Fullstory data is made easy with tray.ai
Use case
Sync Fullstory Session Data to Your CRM
Automatically enrich CRM contacts and accounts with Fullstory session metrics like frustration signals, session counts, and user journey milestones. When a high-value account shows repeated rage clicks or error events, your sales and success teams see that context directly in Salesforce or HubSpot — no tab-switching required.
Use case
Escalate Frustrated User Sessions to Support Teams
Trigger automated support tickets or Slack alerts when Fullstory detects frustration signals like rage clicks, error clicks, or repeated form abandonment. The session replay URL goes straight to Zendesk, Intercom, or a dedicated Slack channel so support agents know what the user experienced before they respond.
Use case
Identify At-Risk Accounts for Customer Success
Detect behavioral patterns that correlate with churn — declining session frequency, repeated navigation errors, feature abandonment — and automatically flag those accounts in your customer success platform. Trigger playbooks in Gainsight or ChurnZero with Fullstory data attached so CSMs have the full picture going in.
Use case
Feed Behavioral Signals Into Product Analytics Pipelines
Pipe Fullstory user interaction events and segment data into your data warehouse or product analytics tools like Mixpanel, Amplitude, or Snowflake. Correlate Fullstory's qualitative session data with quantitative event data to build a more complete picture of user behavior across your analytics stack.
Use case
Enrich Marketing Automation With User Journey Data
Trigger personalized email or in-app messaging campaigns based on Fullstory behavioral segments — users who hit a specific error, or never finished onboarding. Pass segment membership and session context to Marketo, Braze, or HubSpot to power re-engagement flows that are actually relevant.
Use case
Alert Engineering Teams to Emerging UX Issues
Automatically detect spikes in Fullstory error events or dead clicks and create Jira tickets or PagerDuty incidents so engineering teams can investigate before problems spread. Session replay links and affected user counts go directly into the ticket for immediate triage.
Use case
Build AI Agents That Reason Over User Behavior Data
Use tray.ai's AI agent capabilities to query Fullstory segment data and session events, then reason over that data to recommend next actions for sales, support, or product teams. Agents can summarize session patterns, draft personalized outreach, or suggest product fixes based on aggregated frustration signals.
Build Fullstory Agents
Give agents secure and governed access to Fullstory through Agent Builder and Agent Gateway for MCP.
Data Source
Retrieve Session Recordings
Fetch user session recordings and replays to see how specific users actually moved through your product. An agent can use this to diagnose UX issues or investigate support tickets against real behavior.
Data Source
Query User Events
Pull event streams for individual users or segments to see what actions they took inside your application. This lets an agent connect user behavior to outcomes like churn, conversion, or errors.
Data Source
Look Up User Session Details
Retrieve metadata about a specific user's sessions, including device, browser, location, and timestamps. An agent can use this to enrich support or CRM records with behavioral context from Fullstory.
Data Source
Fetch Funnel Analytics
Access funnel and conversion data to see where users drop off in your workflows. An agent can surface these findings to flag underperforming flows or trigger follow-up actions in other tools.
Data Source
Search User Segments
Query defined user segments based on behavioral attributes or properties captured in Fullstory. An agent can use segment data to target personalized outreach or find users who need support.
Data Source
Retrieve Rage Click and Frustration Signals
Pull data on frustration signals like rage clicks, dead clicks, and error clicks to find broken or confusing UI elements. An agent can alert product or engineering teams when these signals spike.
Data Source
Fetch Custom Events
Access custom-tracked events your team defined to measure specific in-app interactions. An agent can monitor these events and kick off downstream workflows when certain thresholds or behaviors are hit.
Agent Tool
Create or Update User Properties
Write custom user properties back into Fullstory to enrich user profiles with data from other systems like your CRM or billing platform. This lets an agent keep Fullstory user context in sync across your stack.
Agent Tool
Tag Sessions with Custom Attributes
Apply custom tags or properties to Fullstory sessions to categorize or flag specific interactions for later review. An agent can automatically tag sessions tied to support escalations, bug reports, or high-value users.
Agent Tool
Trigger Data Export
Kick off exports of Fullstory behavioral data for analysis or archiving in external systems like a data warehouse. An agent can automate scheduled or event-driven exports to keep downstream analytics pipelines current.
Agent Tool
Identify and Enrich Users
Send user identity and attribute data to Fullstory to associate anonymous sessions with known users. An agent can trigger this when a user logs in or completes a key action in another platform.
Get started with our Fullstory connector today
If you would like to get started with the tray.ai Fullstory connector today then speak to one of our team.
Fullstory Challenges
What challenges are there when working with Fullstory and how will using Tray.ai help?
Challenge
Behavioral Data Stuck in a Silo
Fullstory captures session intelligence that most teams never fully use. Sales misses behavioral context on calls, support agents recreate issues by hand, and product teams can't easily connect session data to CRM or helpdesk records without a lot of manual work.
How Tray.ai Can Help:
tray.ai connects Fullstory's API to your CRM, support, and product tools through automated workflows that push session data, replay URLs, and behavioral signals into the records where your teams already work — no manual exports or copy-paste required.
Challenge
No Native Pipeline for Routing Frustration Signals
Fullstory can surface rage clicks and error events in its own UI, but getting those signals to the right team in real time means writing custom code or watching dashboards manually. Most teams find out about UX problems too late, after users have already churned or filed complaints.
How Tray.ai Can Help:
tray.ai lets you build event-driven workflows that watch Fullstory for frustration signals and instantly push alerts to Slack, create Zendesk tickets, or trigger PagerDuty incidents — so the right people hear about a UX problem as soon as it appears.
Challenge
Acting on Fullstory Segments at Scale Is Painful
Fullstory's segmentation is good at identifying cohorts of struggling users, but translating those segments into marketing campaigns, CSM outreach, or product changes means manually exporting lists and importing them elsewhere. That process gets stale fast and introduces errors.
How Tray.ai Can Help:
tray.ai automates the sync between Fullstory segments and downstream tools like HubSpot, Marketo, Gainsight, and Salesforce so your segment membership stays current and campaigns or playbooks trigger immediately when a user enters or exits a segment.
Challenge
Building a Unified Data Pipeline Ties Up Engineering
Getting Fullstory data into a warehouse alongside CRM and product analytics data usually means custom ETL pipelines that data engineering has to build and maintain. That creates bottlenecks and keeps behavioral insights out of reach for BI teams longer than it should.
How Tray.ai Can Help:
tray.ai's low-code workflow builder lets data or analytics teams build and maintain Fullstory-to-Snowflake or Fullstory-to-BigQuery pipelines without ongoing engineering involvement, with scheduling, error handling, and watermark-based incremental syncs built in.
Challenge
Multi-Step Business Processes Break Simple Integrations
Real-world use cases — escalating a frustrated enterprise account through support, updating a health score, and alerting the account executive — span multiple tools and conditional logic that point-to-point integrations can't handle without falling apart at edge cases.
How Tray.ai Can Help:
tray.ai's workflow engine supports branching logic, loops, data transformation, and multi-connector orchestration so you can build processes that take a single Fullstory event and trigger coordinated actions across Zendesk, Salesforce, Gainsight, and Slack in one automated workflow.
Talk to our team to learn how to connect Fullstory with your stack
Find the tray.ai connector with one of the 700+ other connectors in the tray.ai connector library to integrate your stack.
Integrate Fullstory With Your Stack
The Tray.ai connector library can help you integrate Fullstory with the rest of your stack. See what Tray.ai can help you integrate Fullstory with.
+Segment & Fullstory
Learn how to integrate Segment and Fullstory together
+Intercom & Fullstory
Learn how to integrate Intercom and Fullstory together
+Amplitude & Fullstory
Learn how to integrate Amplitude and Fullstory together
+Salesforce & Fullstory
Learn how to integrate Salesforce and Fullstory together
+Jira & Fullstory
Learn how to integrate Jira and Fullstory together
Start using our pre-built Fullstory templates today
Start from scratch or use one of our pre-built Fullstory templates to quickly solve your most common use cases.
Template
Rage Click Alert to Slack and Zendesk Ticket
When Fullstory detects a rage-click session above a defined threshold, this template posts a Slack alert to a product or support channel and opens a Zendesk ticket with the session replay URL and user details attached.
Steps:
- Trigger on Fullstory frustration signal event via webhook or scheduled API poll
- Filter sessions by rage-click count threshold and user segment criteria
- Post formatted Slack message with session replay link and user ID to designated channel
- Create Zendesk ticket with session URL, user email, and error description pre-populated
- Tag Zendesk ticket with 'fullstory-rage-click' label for routing and reporting
Connectors Used: Fullstory, Slack, Zendesk
Template
Enrich Salesforce Contacts With Fullstory Session Metrics
On a scheduled basis, this template fetches recent Fullstory session data for known users and updates the corresponding Salesforce Contact records with session count, last session date, and a direct replay URL for the most recent session.
Steps:
- Scheduled trigger fires daily or hourly based on desired freshness
- Fetch recent sessions from Fullstory API filtered by user email domain or segment
- Look up matching Contact or Lead record in Salesforce by email address
- Update Salesforce record with session count, last-seen date, and session replay URL
- Log sync results to a Google Sheet or Slack channel for monitoring
Connectors Used: Fullstory, Salesforce
Template
Sync Fullstory User Segments to HubSpot for Targeted Campaigns
Automatically sync users who belong to a specific Fullstory behavioral segment — such as users who hit an error page or never completed setup — into a corresponding HubSpot list so marketing can trigger targeted re-engagement campaigns.
Steps:
- Trigger on a schedule or Fullstory segment membership change
- Retrieve current members of a defined Fullstory segment via API
- Match users to HubSpot Contacts by email address
- Add matched contacts to a specific HubSpot static or active list
- Trigger HubSpot enrollment in a designated email workflow for that segment
Connectors Used: Fullstory, HubSpot
Template
Create Jira Bug Tickets From Fullstory Error Click Spikes
When Fullstory reports an unusual spike in error clicks on a specific page or element, this template automatically creates a Jira bug ticket with affected session count, page URL, and sample replay links for immediate engineering triage.
Steps:
- Poll Fullstory API on a schedule for error click event counts by page
- Compare current count against a rolling baseline to detect anomalous spikes
- Create a Jira bug ticket in the appropriate project with severity based on volume
- Attach sample Fullstory session replay URLs to the Jira ticket description
- Notify engineering Slack channel with Jira ticket link and spike summary
Connectors Used: Fullstory, Jira, Slack
Template
Load Fullstory Events Into Snowflake for BI Reporting
Continuously extract Fullstory user event and session data via the API and load it into Snowflake tables so data and analytics teams can build dashboards, run cohort analyses, and correlate behavioral signals with business metrics.
Steps:
- Scheduled trigger fetches new Fullstory session and event records since last run
- Transform and normalize event payloads to match target Snowflake table schema
- Upsert records into Snowflake sessions and events tables using session ID as key
- Update a watermark timestamp to track last successful sync position
- Trigger a Slack alert if record volume deviates significantly from expected range
Connectors Used: Fullstory, Snowflake
Template
Flag At-Risk Accounts in Gainsight From Fullstory Churn Signals
Detect Fullstory behavioral patterns associated with churn risk — low session frequency combined with error events — then automatically update the account health score in Gainsight and create a CSM call-to-action task.
Steps:
- Daily scheduled trigger pulls Fullstory session metrics per account domain
- Apply scoring logic to detect accounts with declining engagement and high error rates
- Look up corresponding Gainsight account and update health score field
- Create a Gainsight CTA task assigned to the account owner with session replay link
- Send Slack notification to the CSM with account name, score change, and Fullstory link
Connectors Used: Fullstory, Gainsight, Slack