• Pricing
Book a demo

Decode your customer sentiment on BigMailer with AI

Swiftask connects your BigMailer campaigns to AI agents capable of analyzing the tone and emotion of every response received in real time.

Result:

Instantly identify satisfied customers and urgent issues to optimize your relationship strategy.

The challenge of manual email feedback processing

Every BigMailer campaign generates a significant volume of responses. Manually reading and interpreting each message to understand the tone is a slow process, prone to human error, and impossible to scale.

Main negative impacts:

  • Missed sales opportunities: Positive signals or purchase requests buried in the mass go unnoticed without careful and immediate reading.
  • Slow crisis management: Negative sentiment detected too late can turn into a serious reputation issue for your brand.
  • Lack of structured data: Without automated analysis, your customer feedback remains unstructured data that is impossible to analyze statistically.

Swiftask automates sentiment analysis for your BigMailer emails. The AI categorizes each response (positive, neutral, negative) and alerts you whenever action is needed.

BEFORE / AFTER

What changes with Swiftask

The traditional way

Your marketing team spends hours manually going through campaign responses. Urgent messages are mixed with automated replies, making sorting tedious.

The Swiftask + BigMailer approach

Each response is instantly analyzed by AI. Negative messages are routed to support, while positive feedback is qualified for your sales teams.

Implementing AI analysis in 4 steps

STEP 1 : Connect your BigMailer account

Link Swiftask to your BigMailer instance via our secure connectors to import your response feeds.

STEP 2 : Define analysis models

Configure your AI agent to detect language nuances specific to your industry.

STEP 3 : Automate follow-up actions

Create workflows: send a Slack alert for negative sentiment, add to a CRM for positive feedback.

STEP 4 : Visualize trends

Track the evolution of overall sentiment in your campaigns via the Swiftask analytics dashboard.

Advanced analysis features

The AI evaluates the polarity score, emotional intensity, and identifies recurring topics behind each response.

  • Target connector: The agent performs the right actions in bigmailer based on event context.
  • Automated actions: Automated email classification, dynamic routing, sentiment summary generation, integration with your reporting tools.
  • Native governance: Analysis accuracy improves over time thanks to contextual learning applied to your data.

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

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

1. Increased reactivity

Respond to unhappy customers before they become detractors.

2. Campaign optimization

Adjust your messaging based on the real sentiment of your target audience.

3. Productivity gains

Remove manual email sorting and focus on resolving issues.

4. Data-driven decisions

Base your future strategies on real, quantifiable sentiment statistics.

5. Seamless integration

Connect your analysis results to any tool in your tech stack.

Data security and privacy

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

  • Secure processing: Your emails are analyzed in an isolated environment complying with GDPR standards.
  • Data control: You retain full ownership of your data and analysis history.
  • Robust authentication: Secure API connection with BigMailer without exposing your credentials.
  • Compliance: Full audit of AI actions to ensure total transparency.

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

RESULTS

Performance indicators

MetricBeforeAfter
Processing timeSeveral hoursReal-time
Detection rateRandom95%+
Operational costHigh (human resources)Low (automated)
Insight qualitySubjectiveStandardized and measurable

Take action with bigmailer

Instantly identify satisfied customers and urgent issues to optimize your relationship strategy.