Fullstory Integration

Fullstory Data Integration | Digital Experience Analytics

Connect Fullstory in 5 minutes. Your AI agent queries session replays, event streams, funnel analytics, and UX friction signals in real-time — then correlates with cross-channel insights from 1,000+ sources.

SOC 2 Type II
1,000+ Data Sources
Any Warehouse or BI Tool
A
Improvado Agent
Connected to Fullstory
How many users encountered form errors on the signup page yesterday, and what was the completion rate?
Found 347 users who encountered form errors on signup. Completion rate: 23.1% (vs. 68.4% for error-free sessions). Top error: "Invalid email format" (189 occurrences). Estimated lost conversions: 157 signups, valued at ~$4,710 based on avg customer LTV.
Create a segment for these users and sync them to HubSpot for a follow-up email campaign
Segment created: "Signup Form Error - Yesterday" with 347 members. Synced to HubSpot list "Signup Recovery Q1" — 342 matched by email (5 anonymous). Campaign trigger set for 2-hour delay with personalized error resolution content.
Trusted by data-driven teams
DockerOMDhimsillyMattelASUSActivision
1,000+
Integrations
200+
Fullstory Fields
99.9%
SLA Uptime
<5 min
Setup
SOC 2
Type II
Improvado Key Takeaways

What your AI agent extracts from Fullstory

Your agent reads autocaptured user sessions (clicks, scrolls, rage clicks, errors), event streams, funnel drop-off rates, behavioral segments, dashboard metrics, and UX friction signals. It surfaces completion rates, average order value, device breakdowns, dead clicks, hesitation patterns, error encounters, and AI-powered sentiment signals that quantify lost revenue from user experience issues.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the Fullstory API
15-minute refresh cycles Near real-time sync with 99.9% SLA uptime. No stale dashboards.
Cross-channel normalization Marketing CDM unifies your data with 1,000+ sources into one schema. No manual mapping.
Any warehouse or BI tool Snowflake, BigQuery, Redshift, Databricks, Power BI, Tableau, Looker Studio
AI Agent access via MCP Query, write, and monitor Fullstory through Claude, ChatGPT, Cursor, or any MCP client
Enterprise-grade security SOC 2 Type II, HIPAA, GDPR, CCPA. Raw data never leaves your environment.
OAuth setup in under 5 minutes No API keys, no code, no developer setup. Schema changes handled automatically.
Zero ongoing maintenance Pagination, rate limits, API versioning — all managed. Your team focuses on analysis.
Integration Details

Complete Digital Experience Analytics

Improvado pulls autocaptured user sessions (clicks, scrolls, rage clicks, errors), event streams, funnel drop-off rates, behavioral segments, dashboard metrics, and UX friction signals from Fullstory. We capture completion rates, average order value, device breakdowns, dead clicks, hesitation patterns, error encounters, and AI-powered sentiment signals that quantify lost revenue from user experience issues.

Fullstory integration · Secure API · Real-time autocapture · session replay access
Schema Overview

Data objects and fields Improvado extracts from Fullstory

Object Fields
Sessions
session_id user_id device_type duration page_views rage_clicks dead_clicks errors completed_goal
Events
event_id session_id event_name event_type timestamp page_url element_selector custom_properties
Funnels
funnel_id funnel_name step_name step_order entry_count exit_count drop_off_rate avg_time_on_step
Segments
segment_id segment_name user_count criteria avg_session_duration conversion_rate creation_date
Metrics
metric_id metric_name value aggregation_type device_filter date_range comparison_period
How it works

From connection to autonomous action in three steps

1

Connect

Connect: Authenticate with Fullstory API credentials or integration token in under 10 minutes. Improvado auto-discovers your event schema, funnels, and segments, then backfills up to 90 days of session replays and behavioral data based on your retention policy.

2

Ask

Query: Ask "Which pages have the highest rage click rates this week?" and your agent surfaces page URLs, rage click counts, affected user segments, and session replay links — correlated with traffic sources from Google Analytics and conversion data from Shopify.

3

Act

Act: Your agent creates behavioral segments (e.g., "users who encountered checkout errors"), tags sessions with CRM attributes (deal stage, customer tier), syncs friction cohorts to HubSpot or Salesforce for re-engagement, and triggers Slack alerts when error rates exceed thresholds.

Use Cases

What teams ask their AI agent about Fullstory

Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.

See how teams use Improvado →
A
Improvado Agent Analysis

Show me all Fullstory sessions where users rage-clicked on the checkout button in the last 48 hours

Your AI agent analyzes Fullstory data and delivers actionable insights — automatically, in seconds.

4 hrs → 15 min
A
Improvado Agent Cross-channel

Compare mobile vs desktop funnel completion rates in Fullstory against conversion rates from Google Analytics 4

Your AI agent analyzes Fullstory data and delivers actionable insights — automatically, in seconds.

Manual → auto
A
Improvado Agent Reporting

Create a Fullstory segment for users who encountered form errors and sync them to HubSpot as a re-engagement list

Your AI agent analyzes Fullstory data and delivers actionable insights — automatically, in seconds.

5 hrs → 20 min
AI Agent Access

Your agent doesn't just read Fullstory — it enriches it.

Read

Read: Autocaptured user sessions (clicks, scrolls, rage clicks, dead clicks, errors, hesitations), event streams (page views, form submissions, custom events), funnel analytics (step-by-step drop-offs, completion rates), behavioral segments and cohorts, dashboard metrics (average order value, device breakdowns, mobile percentages), UX friction signals, and AI-powered sentiment insights with lost revenue quantification.

Write

Write: Create and update behavioral segments based on session patterns or cross-platform criteria, tag sessions with external attributes (CRM deal stage, campaign source, customer tier), configure custom event definitions, sync friction cohorts to marketing automation and CRM platforms, and set up automated alerts for UX anomalies (error spikes, funnel drop-off increases).

Monitor

Monitor: Tracks rage click frequency and location, dead click patterns, form error rates, funnel drop-off anomalies (sudden increases at specific steps), page load errors, mobile vs desktop experience gaps, and session replay volume by segment — alerting your team via Slack or email when friction signals exceed baseline thresholds or impact revenue-critical flows.

Claude, ChatGPT, and Cursor can create behavioral segments based on session patterns, tag sessions with CRM deal stages or campaign sources, sync friction cohorts to marketing automation platforms, and trigger alerts when error rates spike. Every segment creation and data sync is logged with timestamp, criteria, and affected user count in your audit trail.

Claude ChatGPT Cursor Gemini Any MCP Client
Improvado Agent · Fullstory
You
Show me sessions where users rage-clicked on the checkout button in the last 48 hours
A
Rage Click Sessions — Checkout
Session ID Rage Clicks Device Type
Session #847392 7 clicks Mobile iOS
Session #846821 6 clicks Desktop Chrome
Session #846547 9 clicks Mobile Android
Session #846203 5 clicks Tablet iPad
Session #845918 8 clicks Desktop Safari
5 sessions · 35 total rage clicks · 60% mobile devices
You
Create a Fullstory segment for these frustrated users and sync them to HubSpot as a priority support outreach list
A
Frustrated user segment created
127 users identified · syncing to HubSpot · outreach campaign queued
Destinations

Send Fullstory data anywhere

Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.

SOC
SOC 2 Type II Audited data management
H
HIPAA Healthcare compliance
EU
GDPR EU data protection
CA
CCPA California privacy
Compare

They extract data. Improvado deploys an agent.

Traditional tools move data from A to B. Improvado gives you an AI agent that reads, acts, and monitors — with Fullstory as one of 1,000+ integrated sources.

Feature Improvado Supermetrics Funnel.io Fivetran
Data fields extracted 200+ ~90 ~120 ~80
Total integrations 1,000+ ~150 ~500 ~300
Cross-channel normalization (CDM) ✓ Built-in ✗ Manual ● Basic mapping ✗ Raw only
AI Agent access (MCP) ✓ Read, Write, Monitor
Data warehouse destinations ✓ 16+ warehouses & BI tools Sheets, Looker, BigQuery BigQuery, Snowflake, Redshift ✓ Broad warehouse support
Refresh frequency Every 15 min Scheduled triggers Daily / 6hr Every 15 min (premium)
SOC 2 Type II & HIPAA ✗ SOC 2 only ✓ SOC 2
Best for Teams that want an AI agent, not a pipeline Small teams, spreadsheets Mid-market, data teams Engineering-led ELT pipelines

Comparison based on publicly available documentation as of April 2026. Feature availability may vary by plan tier.

FAQ

Frequently asked questions

How does Improvado connect to Fullstory?
Improvado connects to Fullstory using secure API credentials or integration tokens you provide during setup. The connection process takes approximately 10 minutes, including authentication and initial data mapping. Once connected, Improvado can access historical session data, events, and metrics based on your Fullstory retention policy, typically allowing backfill of up to 90 days of behavioral data depending on your plan.
What Fullstory data does Improvado pull?
Improvado extracts autocaptured user sessions (clicks, scrolls, rage clicks, dead clicks, errors), event streams (page views, form submissions, custom events), funnel analytics (step-by-step drop-off rates), behavioral segments and cohorts, dashboard metrics (average order value, device percentages, completion rates), UX friction signals (hesitations, error encounters), and AI-powered insights including sentiment signals and lost revenue quantification. Data refreshes in real-time, enabling immediate analysis of user behavior changes and UX issues.
How often does Fullstory data refresh?
Fullstory data syncs in real-time for session captures, events, and behavioral metrics, allowing instant replay and analysis of user interactions as they occur. Improvado maintains this real-time cadence for critical UX signals (errors, rage clicks, funnel drop-offs) while aggregating dashboard metrics every 15 minutes for efficient querying. You can trigger manual syncs on-demand to pull the latest session data before stakeholder reviews or optimization sprints.
Can the AI agent write data back to Fullstory?
Yes, with limitations. Your AI agent can create and update behavioral segments based on session patterns, tag sessions with external attributes (e.g., CRM deal stage, campaign source, customer tier), and configure custom event definitions. However, Fullstory's autocapture model means the agent cannot modify historical session recordings or raw event data. All segment creations and tagging actions are logged in Improvado's audit trail with criteria definitions, affected user counts, and timestamps.
Is Fullstory data secure with Improvado?
Improvado is SOC 2 Type II certified and compliant with GDPR, CCPA, and HIPAA standards. All Fullstory session data and events are encrypted in transit (TLS 1.2+) and at rest (AES-256). API credentials are stored in a secure vault with role-based access controls, and all queries are logged for compliance auditing. Improvado respects Fullstory's privacy controls, including data masking rules for sensitive form fields and PII exclusions, ensuring user privacy is maintained across the integration.
How does Fullstory connect with other platforms in Improvado?
Improvado maps Fullstory behavioral data to a Common Data Model that unifies user identifiers, session attributes, and conversion events across 1,000+ sources. This lets your AI agent correlate Fullstory rage clicks with Zendesk support tickets, match funnel drop-offs to Google Ads campaign sources, and overlay Salesforce deal stages onto session replays. For example, you can identify which ad campaigns drive users who encounter the most UX friction, or segment high-value customers (from Shopify) who experienced checkout errors (from Fullstory).