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Elevate your customer feedback with Attentive and Swiftask

Swiftask automates customer feedback collection via Attentive SMS. Instantly analyze sentiment and trigger corrective actions without lifting a finger.

Resultat:

Boost customer responsiveness and turn every SMS into a growth lever.

Manual feedback collection slows your growth

E-commerce brands often struggle to capture customer feedback at the right moment. Email surveys are ignored, and manual SMS analysis is a massive productivity drain.

Les principaux impacts négatifs :

  • Low response rates: Traditional methods lack proximity. Customers ignore long, impersonal surveys.
  • Slow and fragmented analysis: Manually processing SMS feedback prevents a consolidated view of customer satisfaction in real time.
  • Delayed reaction to complaints: Without automation, subtle signs of dissatisfaction are detected too late, impacting retention.

Swiftask turns Attentive into an intelligent feedback channel. The AI agent sends personalized surveys via SMS and analyzes responses in real time.

AVANT / APRÈS

Ce qui change avec Swiftask

The manual process

Support receives dozens of SMS. An agent must read, categorize, and reply one by one. Data is never centralized, and trends go unnoticed.

The Swiftask approach

The AI agent sends a feedback request via Attentive. It receives the reply, analyzes sentiment, updates your CRM, and alerts support if urgent action is needed.

Set up your workflow in 4 steps

ÉTAPE 1 : Initialize the agent in Swiftask

Create a dedicated customer feedback agent. Define sentiment analysis rules and template messages.

ÉTAPE 2 : Connect Attentive API

Integrate Attentive as a communication channel. Swiftask connects securely to manage your SMS sends.

ÉTAPE 3 : Define triggers

Configure automatic sends after a delivered order or closed support ticket to maximize response rates.

ÉTAPE 4 : Automate actions

Configure automatic responses based on the CSAT score received via SMS.

Capabilities of your AI agents for Attentive

The AI analyzes tone, language, and urgency of each SMS response to prioritize actions.

  • Connecteur cible : L'agent exécute les bonnes actions dans attentive selon le contexte de l'événement.
  • Actions automatisées : Send personalized SMS surveys, semantic analysis of responses, automatic routing to support, CRM profile updates.
  • Gouvernance native : All data is synced with Swiftask for full reporting.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-attentive@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.

Benefits of this automation

1. Increased reactivity

Identify dissatisfied customers in seconds.

2. Better response rates

SMS format is far more effective than email.

3. Productivity gains

Total elimination of manual feedback entry.

4. Data-driven decisions

Clear reports on overall customer satisfaction.

5. Scalable personalization

Each customer receives a message tailored to their journey.

Compliance and security

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

  • Secure authentication: Secure API connection with permission management.
  • GDPR and opt-in: Strict adherence to SMS consent rules.
  • Full audit trail: Traceability for every SMS interaction.
  • Robust infrastructure: Data processed on highly secure servers.

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

RÉSULTATS

Measurable impact on your CX

MétriqueAvantAprès
Response rate5-10% (email)30-50% (SMS)
Analysis timeHours/weekInstant
Complaint reductionHighProactively controlled
Time to deployWeeks (IT)Minutes (no-code)

Passez à l'action avec attentive

Boost customer responsiveness and turn every SMS into a growth lever.

Boostez la rétention avec des messages post-achat automatisés via Attentive

Cas d'usage suivant.