# Connect Fullstory to Amplitude

> Unify qualitative session data with quantitative product analytics to make smarter product decisions.

**Canonical page:** https://tray.ai/connectors/fullstory-amplitude-integrations/
**Fullstory connector:** https://tray.ai/connectors/fullstory-integrations/
**Fullstory documentation:** https://tray.ai/documentation/connectors/service/fullstory
**Amplitude connector:** https://tray.ai/connectors/amplitude-integrations/
**Amplitude documentation:** https://tray.ai/documentation/connectors/service/amplitude

## Overview

Fullstory captures what actually happened in every user session — replays, heatmaps, interaction recordings. Amplitude answers how often and why, with behavioral analytics and product intelligence. Together, they close the gap between raw user behavior and actionable product insights. Integrating Fullstory with Amplitude on tray.ai lets product, engineering, and UX teams move freely between quantitative funnel data and the qualitative session context that explains it.

Product teams relying on Amplitude alone can spot drop-off points, funnel anomalies, or feature adoption problems — but have no way to see the actual user experience behind them. Fullstory fills that gap with session replays, but without aggregated behavioral trends it's hard to know which sessions are worth watching. Connecting the two through tray.ai closes that loop. It automatically enriches Amplitude events with Fullstory session URLs, syncs user segments between platforms, and triggers session review workflows when Amplitude surfaces a significant behavioral signal. The result is faster root cause analysis, better-informed product decisions, and a data team that's not stuck manually cross-referencing two separate tools.

## Use cases

### Attach Fullstory Session Replays to Amplitude Conversion Events

When a user completes or abandons a conversion event in Amplitude — a checkout, onboarding step, or feature activation — tray.ai automatically enriches that event with the corresponding Fullstory session replay URL. Product and UX teams can click straight into the session recording from within their Amplitude charts, without manually hunting through Fullstory for matching sessions.

- Instantly access session context for any Amplitude conversion or drop-off event
- Cut time spent manually correlating users across two platforms
- Let non-technical stakeholders view session evidence directly from Amplitude dashboards

### Sync Amplitude Cohorts to Fullstory for Targeted Session Review

Amplitude cohorts — churned users, power users, users who hit a specific error — can be automatically pushed to Fullstory as user segments, so teams can filter session replays to exactly those cohorts. No more manual export-import cycles. Your Fullstory segments stay current with the latest Amplitude behavioral data.

- Keep Fullstory user segments continuously updated with live Amplitude cohort data
- Focus session replay review on the highest-impact user segments
- Speed up UX research cycles by cutting segment setup time

### Trigger Alerts When Fullstory Detects Rage Clicks on High-Value Amplitude Funnels

tray.ai monitors Fullstory frustration signals — rage clicks, error clicks, dead clicks — on pages that correspond to funnel steps tracked in Amplitude. When these signals spike, automated alerts go to Slack or Jira with both the Fullstory session data and the relevant Amplitude funnel context attached.

- Catch UX friction before it shows up in Amplitude conversion rates
- Cut mean time to identify and fix high-priority UX regressions
- Combine quantitative funnel impact with qualitative evidence in a single alert

### Enrich Amplitude User Profiles with Fullstory Behavioral Attributes

Fullstory behavioral attributes — session count, last session timestamp, frustration event counts, device type patterns — can be synced into Amplitude as user properties. This adds depth to Amplitude's user-level analysis and lets teams build more nuanced cohorts based on actual session engagement.

- Add qualitative depth to Amplitude user properties without manual data exports
- Build cohorts based on Fullstory frustration and engagement signals
- Improve personalization models by combining behavioral and product usage data

### Auto-Tag Fullstory Sessions When Amplitude Flags Anomalous Behavior

When Amplitude identifies anomalous patterns — unexpected spikes in error events, sudden feature abandonment, unusual navigation paths — tray.ai automatically applies custom tags to the corresponding Fullstory sessions. The most analytically relevant sessions surface immediately for qualitative review.

- Prioritize Fullstory session review based on Amplitude anomaly detection
- Make sure critical sessions are tagged and findable before they expire
- Connect Amplitude alerting directly to Fullstory qualitative investigation

### Unify New User Identification Across Fullstory and Amplitude

When a new user is identified or their profile is updated in either Amplitude or Fullstory, tray.ai keeps user identity synchronized between both platforms. User IDs, traits, and account properties stay consistent, preventing fragmented or duplicate profiles that break cross-platform analysis.

- Maintain consistent user identity across both platforms for accurate cross-referencing
- Eliminate duplicate or mismatched user profiles caused by independent identification
- Support GDPR and CCPA compliance by enabling coordinated user deletion workflows

### Build Weekly Product Intelligence Reports Combining Amplitude Metrics and Fullstory Insights

tray.ai pulls Amplitude chart data and Fullstory session summaries on a schedule, compiling them into a weekly product intelligence report delivered to stakeholders in Slack, email, or Confluence. It replaces the manual effort of pulling from two platforms and stitching everything together in a slide deck.

- Save product managers hours per week on manual reporting
- Deliver richer stakeholder reports that pair trend data with session evidence
- Standardize the product review cadence with automated, consistent reporting

## Templates

### Enrich Amplitude Events with Fullstory Session URLs

Automatically appends the Fullstory session replay URL to Amplitude user events as a custom property whenever a tracked event fires, so you get one-click access to session context from any Amplitude chart or cohort.

Connectors used: Fullstory, Amplitude

Steps:
1. Listen for target events fired in Amplitude via webhook or API polling
2. Query Fullstory API to retrieve the matching session URL by user ID and timestamp
3. Update the Amplitude event or user profile with the Fullstory session URL as a custom property

### Sync Amplitude Cohorts to Fullstory Segments on a Schedule

On a configurable schedule, exports defined Amplitude cohorts and creates or updates matching user segments in Fullstory, so session replay filtering always reflects current cohort membership.

Connectors used: Amplitude, Fullstory

Steps:
1. Fetch the latest user list for specified Amplitude cohorts via the Amplitude Cohort API
2. Transform user identifiers into Fullstory-compatible format
3. Create or update Fullstory user segments via the Fullstory API with the synced user list

### Fullstory Rage Click Alert with Amplitude Funnel Context

Detects rage click or frustration signal spikes in Fullstory and fires an alert to Slack or Microsoft Teams, enriched with the corresponding Amplitude funnel performance data for the affected page.

Connectors used: Fullstory, Amplitude

Steps:
1. Receive Fullstory frustration event webhook when rage click threshold is exceeded on a target page
2. Query Amplitude for current conversion rate and event volume for the corresponding funnel step
3. Post enriched alert to Slack or Teams with Fullstory session link and Amplitude funnel metrics

### New User Identity Sync Between Fullstory and Amplitude

Keeps user identity properties in sync between Fullstory and Amplitude whenever a new user is created or an existing user's profile is updated in either system.

Connectors used: Fullstory, Amplitude

Steps:
1. Trigger on new user creation or profile update event in Amplitude or Fullstory
2. Map and transform user properties to the schema expected by the target platform
3. Update or create the user record in the other platform via its respective API

### Automated Weekly Product Report from Amplitude and Fullstory

Runs weekly to pull Amplitude funnel metrics and Fullstory session summary data, compiling a combined product intelligence digest and delivering it to a designated Slack channel or email list.

Connectors used: Amplitude, Fullstory

Steps:
1. Scheduled trigger fetches key chart and funnel data from the Amplitude API
2. Pull session volume, frustration event counts, and top session tags from Fullstory API
3. Format and deliver the combined report to Slack, email, or a Confluence page

### Auto-Tag Fullstory Sessions on Amplitude Anomaly Detection

Monitors Amplitude for anomalous behavioral signals and automatically applies descriptive tags to matching Fullstory sessions so they're ready for immediate qualitative review.

Connectors used: Amplitude, Fullstory

Steps:
1. Poll Amplitude API or receive webhook for anomaly or threshold breach on a monitored event
2. Identify the affected user set and retrieve corresponding Fullstory session IDs
3. Apply custom tags to the identified Fullstory sessions via the Fullstory API

## Challenges Tray.ai solves

### Matching Users Consistently Across Both Platforms

Fullstory and Amplitude each maintain their own user identity models. Mismatches in user IDs, anonymous versus identified states, or trait schemas can break lookups and make cross-platform analysis unreliable.

**How Tray.ai helps:** tray.ai's data transformation tools let you build custom identity resolution logic — normalizing user IDs, handling anonymous-to-identified transitions, and mapping trait schemas between the two platforms before any data is written to either system.

### Keeping Amplitude Cohorts and Fullstory Segments in Sync Without Manual Exports

Amplitude cohorts update continuously as users enter or exit based on behavioral criteria. Manually exporting and re-importing them into Fullstory on a regular basis is slow and error-prone.

**How Tray.ai helps:** tray.ai's scheduled workflows run cohort sync jobs at any frequency — hourly, daily, or on demand — automatically fetching updated cohort membership from Amplitude and pushing changes to Fullstory segments without manual intervention.

### API Rate Limits When Processing High-Volume Event Streams

At scale, enriching every Amplitude event with a Fullstory session URL can generate a large number of simultaneous API calls to Fullstory, risking rate limit breaches and data loss during peak usage periods.

**How Tray.ai helps:** tray.ai handles rate limiting with built-in retry logic, request queuing, and configurable throttling. Workflows can batch API calls, prioritize high-value events, and retry failed requests automatically without data loss.

### Ensuring Fullstory Session Data Is Retrieved Within Retention Windows

Fullstory session data has a defined retention period. If enrichment workflows run too slowly, you can end up trying to retrieve sessions that have already expired — leaving broken links in Amplitude.

**How Tray.ai helps:** tray.ai workflows can trigger session enrichment in near real-time, immediately after an Amplitude event fires, and include validation logic that checks session availability before writing URLs to Amplitude. Expired sessions get flagged for review rather than written as dead links.

### Coordinating GDPR and CCPA User Deletion Across Both Platforms

When a user submits a data deletion request, both Fullstory session data and Amplitude user event data must be purged. Coordinating that manually across two separate platforms increases the risk of incomplete deletion and compliance gaps.

**How Tray.ai helps:** tray.ai orchestrates a single deletion workflow that triggers the user suppression or deletion API in both Fullstory and Amplitude simultaneously, logs confirmation of each deletion action, and alerts your compliance team when the process is complete — giving you an auditable, repeatable process for every deletion request.

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