Anticipate churn before it happens with Heap and Swiftask
Swiftask analyzes your Heap data in real-time to identify subtle signs of disengagement. Receive intelligent alerts to act at the right moment.
Result:
Shift from a reactive retention strategy to a predictive approach. Effectively lower your churn rate.
AI Agents
heap
Connector heap · Secure OAuth 2.0
Churn is often detected too late to be prevented
Most companies only discover a customer is leaving when they have already canceled their subscription. Yet, behavioral data in Heap contains the warning signs of this decision long before the final action.
Main negative impacts:
Invisible revenue loss
Each customer leaving without prior warning is a missed opportunity for correction and re-engagement.
Overwhelmed success teams
Without data-driven prioritization, your Customer Success teams work blindly, wasting time on healthy accounts.
Fragmented data analysis
Heap data is rich but often remains siloed. Without automation, its predictive value is underutilized.
Swiftask connects Heap to your workflow. Our AI agents monitor your key events, detect drops in engagement, and alert you instantly via your communication tools.
BEFORE / AFTER
What changes with Swiftask
Traditional churn management
Your team waits for a cancellation notification to react. The customer has already moved to a competitor. It is too late to offer a solution or understand the real reasons for leaving.
Retention driven by Swiftask AI
Heap detects a drop in usage of a key feature. Swiftask analyzes this event, assesses the risk, and immediately alerts your CSM with complete context for personalized intervention.
Setup your detection system in 4 steps
1
STEP 1 : Define your churn signals in Heap
Identify behaviors that typically precede a cancellation (e.g., login drop, stop using a key feature).
2
STEP 2 : Connect Heap to your Swiftask agent
Use our webhooks to send behavioral data from Heap to Swiftask securely.
3
STEP 3 : Configure alert thresholds
Define the rules that trigger an alert: a drop of X% over period Y. The Swiftask AI refines these thresholds automatically.
4
STEP 4 : Receive actionable alerts
Get notified on Slack, Teams, or via email with full user context to intervene immediately.
The power of AI for your retention
Swiftask does more than watch numbers. It aggregates user history from Heap to provide a weighted, contextual risk score.
- Target connector: The agent performs the right actions in heap based on event context.
- Automated actions: Triggering alerts based on complex events. Trend analysis over the last 30 days. Automatic segmentation of at-risk accounts. Suggestions for remediation actions for CSMs.
- Native governance: All alerts are centralized with an intervention history to measure the effectiveness of your retention efforts.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-heap@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 Swiftask for your alerts
Proactive intervention
Reach out to your customers before they make their final decision.
Intelligent prioritization
Your CSMs focus only on accounts showing real and immediate risk.
Unified data
Transform raw Heap analytics into concrete business insights.
Improved LTV
Every percentage point of churn avoided directly impacts your annual recurring revenue.
No-code configuration
Set up your detection system without involving your technical teams.
Privacy and compliance
Swiftask applies enterprise-grade security standards for your heap automations.
- Secure integration: Swiftask adheres to the strictest security standards for processing your Heap data.
- Data governance: You maintain full control over the data flowing between Heap and Swiftask.
- GDPR compliant: Data processing complies with European privacy protection requirements.
- Scalable infrastructure: Capable of processing millions of Heap events without latency.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your key metrics
| Metric | Before | After |
|---|---|---|
| Detection time | After cancellation (too late) | 7-14 days before the risk |
| CSM efficiency | Random reactive management | Targeting based on real risk |
| Retention rate | Stagnant | Measurable net revenue retention improvement |
| Response time | Several days | Real time |
Take action with heap
Shift from a reactive retention strategy to a predictive approach. Effectively lower your churn rate.