Pricing

Anticipate and reduce churn using your Breeze CRM data

Swiftask analyzes customer behavior within Breeze CRM. Identify churn signals before it's too late and automate personalized retention actions.

Result:

Turn your CRM data into an active retention asset without manual effort.

Why your retention strategies often fail

Most companies react too late to churn. Weak signals — declining engagement, repeated support tickets, underutilization — are buried in Breeze CRM data without being analyzed in real time.

Main negative impacts:

Reactive and delayed detection: You discover a customer is leaving only when they request cancellation, making recovery efforts often futile.
Generic retention actions: Sending identical campaigns to all at-risk customers lacks relevance and drastically reduces conversion rates.
Siloed data: Behavioral data in Breeze is not correlated with marketing actions or customer success efforts.

Swiftask connects Breeze CRM to AI agents that monitor the customer lifecycle 24/7. As soon as a risk is detected, the agent triggers a targeted, personalized retention action.

BEFORE / AFTER

What changes with Swiftask

Risk management without Swiftask

A Customer Success team manually checks weekly Breeze reports to spot inactive clients. The process is slow, prone to human error, and based on outdated data.

Proactive retention with Swiftask + Breeze

Your AI agent monitors Breeze CRM 24/7. As soon as a suspicious drop in usage is detected, it immediately alerts the responsible CSM and prepares a personalized value proposition for the client.

Deploying your AI-driven retention strategy

STEP 1 : Breeze CRM synchronization

Connect your Breeze instance to Swiftask to allow the agent access to behavioral and transactional data.

STEP 2 : Defining warning signals

Configure business rules (e.g., 30% drop in logins, increased support tickets) to define the risk score.

STEP 3 : Configuring action workflows

Determine automatic actions: personalized email, CRM task creation, or Slack alerts.

STEP 4 : Monitoring and optimization

Track the performance of your retention campaigns via the Swiftask dashboard and refine detection criteria.

What your retention agent can do

The agent cross-references Breeze CRM data with interaction history to provide a 360° view of customer risk.

Target connector: The agent performs the right actions in breeze based on event context.
Automated actions: Automatic segmentation of clients by risk level. Generation of context-aware re-engagement messages. Creation of follow-up tickets for the Success team. Reporting on the success rate of rescue actions.
Native governance: The agent learns from the results of each action to improve detection accuracy over time.

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

Each Swiftask agent uses a dedicated identity (e.g. agent-breeze@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.

Strategic benefits for your business

1. Reduced voluntary churn

Act as soon as the first signs of dissatisfaction appear.

2. Personalization at scale

Each client receives an approach tailored to their actual product usage.

3. CSM time optimization

Your teams focus on high-value cases identified by the AI.

4. Increased LTV

By extending customer lifespan, you mechanically increase the profitability of your base.

5. Operational agility

Adjust your churn criteria in a few clicks without relying on the technical team.

CRM data privacy and integrity

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

Secure Breeze integration: Use of secure APIs adhering to current encryption standards.
Data governance: You retain full control over your CRM data used for AI analysis.
GDPR compliance: Swiftask ensures data processing complies with privacy protection requirements.
Continuous audit: All actions taken by the agent are logged for transparent reporting.

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

RESULTS

Measurable impact on retention

Metric	Before	After
Detection time	Several days (manual analysis)	Real-time (instant)
Campaign response rate	Low (generic)	High (personalized)
Operational effort	High (manual tasks)	Low (fully automated)
Targeting accuracy	Based on intuition	Based on real data

Take action with breeze

Turn your CRM data into an active retention asset without manual effort.

Automate your Breeze ticket responses with AI power

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