Tarification

Anticipate customer churn with Faraday and Swiftask

Unify the predictive power of Faraday with the automated execution of Swiftask. Stop reacting to churn, start preventing it proactively.

Resultat:

Turn your predictive data into immediate, personalized retention actions, with zero manual effort.

The hidden cost of a reactive retention strategy

Most companies only realize a customer is leaving when they submit a cancellation request. At this point, it is often too late. Lack of early signals and slow manual processes prevent effective intervention.

Les principaux impacts négatifs :

Delayed detection: Without predictive models, you act on finished facts instead of anticipating disengagement behaviors.
Generic retention efforts: Manual retention efforts often lack personalization, which significantly reduces their success rate.
Isolated data silos: Insights generated by Faraday often remain isolated and are not turned into operational workflows.

Swiftask connects Faraday risk scores to your communication tools. As soon as a customer hits a risk threshold, a tailored retention scenario is triggered automatically.

AVANT / APRÈS

Ce qui change avec Swiftask

Traditional management

Churn is detected by support after the cancellation request. The sales team attempts a generic email approach, often without success as the engagement is already broken.

Faraday + Swiftask ecosystem

Faraday identifies a drop in engagement. Swiftask analyzes this data, generates a personalized offer via AI, and contacts the customer at the perfect moment to re-engage them before they decide to leave.

Deploy your predictive retention strategy

ÉTAPE 1 : Analyze data with Faraday

Use Faraday to generate churn propensity scores based on your historical and behavioral data.

ÉTAPE 2 : Configure the connector in Swiftask

Import your at-risk segments from Faraday into Swiftask to orchestrate your automation actions.

ÉTAPE 3 : Define re-engagement scenarios

Create AI agents in Swiftask capable of drafting and sending personalized messages tailored to the risk score.

ÉTAPE 4 : Automate the lifecycle

Enable the workflow. Swiftask continuously monitors Faraday and triggers retention actions as soon as a threshold is crossed.

Augmented retention capabilities

The agent analyzes the Faraday churn score, customer usage history, and latest interactions to determine the ideal message.

Connecteur cible : L'agent exécute les bonnes actions dans faraday selon le contexte de l'événement.
Actions automatisées : Sending re-engagement emails, CRM notifications, alerts to Customer Success Managers, or targeted promotional offers via API.
Gouvernance native : Every interaction is tracked to measure the real impact of retention actions on the final churn score.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-faraday@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

Why pair Faraday and Swiftask?

1. Proactive retention

Act on early signals before the customer seriously considers leaving.

2. Personalization at scale

AI generates unique messages for every customer, drastically increasing success rates.

3. Operational time savings

Automate the monitoring of at-risk segments and free your team for complex cases.

4. Improved LTV

Reducing churn directly impacts your customer lifetime value and profitability.

5. Actionable insights

Turn raw data into protected revenue through connected workflows.

Governance and data protection

Swiftask applique des standards de sécurité enterprise pour vos automatisations faraday.

Faraday flow security: Data travels via encrypted connections ensuring the integrity of your predictive models.
GDPR compliance: Swiftask ensures transparent management of customer data used for your retention campaigns.
Full audit trail: Keep a record of every retention action triggered by the AI agent.
Model control: Maintain control over the risk thresholds that trigger automations in Swiftask.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Impact on your key metrics

Métrique	Avant	Après
Reaction time	Reactive (post-cancellation)	Proactive (predictive)
Retention rate	Stagnant	Constantly increasing
Human effort	High (manual)	Low (automated)
Offer accuracy	Generic	Hyper-personalized

Passez à l'action avec faraday

Turn your predictive data into immediate, personalized retention actions, with zero manual effort.

Personnalisez vos offres produits instantanément avec Faraday et Swiftask

Cas d'usage suivant.