Analyze churn causes with LiveSession and Swiftask
Swiftask connects your LiveSession data to analytical AI. Pinpoint exactly why your users are leaving your product.
Result:
Turn raw sessions into actionable insights to drastically reduce your churn rate.
AI Agents
livesession
Connector livesession · Secure OAuth 2.0
Churn remains a mystery without behavioral analysis
Standard analytics tell you that a user left, but not why. Without session context, you remain blind to the real friction points driving customers away.
Main negative impacts:
Invisible friction
Interface bugs, loading times, or complex flows hurt usage without you knowing.
Delayed reaction
You try to retain a client after they've already canceled, making any action ineffective.
Disconnected data
Impossible to correlate session events with customer profiles to understand churn patterns.
Swiftask ingests LiveSession data to analyze behaviors typical of churned users. You receive alerts on suspicious patterns before churn happens.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
You check monthly churn charts. You see an increase, but must manually watch hundreds of LiveSession replays to guess what happened.
With Swiftask + LiveSession
Swiftask automatically analyzes sessions. It notifies you: 'User X encountered 3 validation errors on the payment page before leaving'.
Detect risks in 4 steps
1
STEP 1 : LiveSession integration
Connect your LiveSession source to Swiftask to centralize session data.
2
STEP 2 : Pattern definition
Configure Swiftask AI to spot risky behaviors (rage clicks, errors, drop-offs).
3
STEP 3 : Automated analysis
Swiftask scans sessions and correlates data to identify churn patterns.
4
STEP 4 : Proactive action
Receive immediate alerts to engage at-risk clients via your CRM.
Predictive analysis features
Swiftask analyzes user frustration, task completion time, and error rates by segment.
- Target connector: The agent performs the right actions in livesession based on event context.
- Automated actions: Correlation between technical events and churn. At-risk user segmentation. Automated summaries of problematic sessions.
- Native governance: All analyses are exportable for your product teams.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-livesession@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Why choose this approach
Proactive prediction
Act before the user clicks 'Cancel'.
Product prioritization
Fix the issues that actually cause churn.
Time saving
No more watching hours of replays.
Data-driven
Decisions based on real behavior.
Team alignment
Share clear insights between product and support.
Data security
Swiftask applies enterprise-grade security standards for your livesession automations.
- Privacy: Session data is anonymized according to your rules.
- Compliance: GDPR-compliant integration.
- Control: You choose which data Swiftask can analyze.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your performance
| Metric | Before | After |
|---|---|---|
| Identification time | Days | Minutes |
| Churn accuracy | Based on intuition | Based on data |
| Retention rate | Stagnant | Rising |
Take action with livesession
Turn raw sessions into actionable insights to drastically reduce your churn rate.