Pricing

Anticipate customer churn with BigML's predictive AI

Swiftask connects your data to BigML to turn customer history into actionable churn risk scores, in real time.

Result:

Identify at-risk customers before they leave and automate targeted retention campaigns.

Churn is often detected too late to be prevented

Most companies analyze churn after the fact. When a customer cancels, it's already too late. Without a predictive model integrated into your operational tools, your customer success teams work blindly, without clear priorities.

Main negative impacts:

Recurring revenue loss: Every lost customer represents an immediate revenue hit and wasted acquisition costs.
Ineffective late reaction: Detecting churn at the cancellation moment makes retention attempts often futile.
Untapped data silos: Your CRM and usage data sit idle without being correlated to identify weak churn signals.

Swiftask automates the flow between your data sources and BigML. You get a dynamic churn risk score for every customer, right inside your working tools.

BEFORE / AFTER

What changes with Swiftask

Risk management without Swiftask

Teams wait until the end of the month to compile manual churn reports. Retention actions are generic, sent too late, and lack personalization.

Proactive management with BigML

Swiftask automatically sends usage data to BigML. As soon as a risk score exceeds a threshold, an alert is generated and a retention action is triggered instantly.

Integrate BigML into your workflows in 4 steps

STEP 1 : Data centralization

Connect your data sources (CRM, usage logs) to Swiftask to prepare the training dataset.

STEP 2 : Modeling with BigML

Swiftask sends your data to BigML to train or update your churn prediction model.

STEP 3 : Automated scoring

Every new customer behavior is submitted to the BigML model to calculate its risk score in real time.

STEP 4 : Immediate action

Swiftask automatically triggers retention workflows (email, CRM ticket, Slack alert) based on the received scores.

Predictive analytics capabilities

The agent analyzes complex correlations between usage frequency, open support tickets, and behavior changes.

Target connector: The agent performs the right actions in bigml based on event context.
Automated actions: Automatic CRM enrichment with risk scores. Triggering re-engagement workflows. Dynamic segmentation of at-risk customers. Personalized alerts for account managers.
Native governance: All scores and actions are centralized in Swiftask for complete visibility into the performance of your retention strategies.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-bigml@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 churn prediction

1. Proactive retention

Act before the customer even manifests their intention to leave.

2. No-code automation

Connect BigML without writing complex code.

3. Increased accuracy

Leverage the power of BigML's machine learning algorithms.

4. Productivity gains

Your teams focus only on customers with a high risk score.

5. Continuous improvement

The model refines itself with every new integrated data point.

Data and model security

Swiftask applies enterprise-grade security standards for your bigml automations.

Encrypted flows: All data flowing between your tools and BigML is secured.
Access governance: Control who can access risk scores and automations.
Compliance: Adherence to GDPR standards in processing your customer data.
Transparency: Complete traceability of generated scores and triggered actions.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Key performance indicators

Metric	Before	After
Retention rate	Historical baseline	+15-25% (estimated)
Detection time	End of cycle (monthly)	Real time
Team efficiency	Focus on all customers	Focus on at-risk customers

Take action with bigml

Identify at-risk customers before they leave and automate targeted retention campaigns.