Pricing

Analyze customer sentiment live with BotPenguin and Swiftask

Swiftask enriches BotPenguin with an emotional intelligence layer. Understand your visitors' mood instantly to tailor responses and boost conversion.

Result:

Turn conversations into strategic insights. Anticipate frustrations and celebrate successes in real-time.

The emotional blindness of your BotPenguin conversations

Your BotPenguin chatbots handle thousands of messages, but do they really understand your customers' mindset? Without sentiment analysis, dissatisfaction can escalate into a silent crisis, while sales opportunities can go unnoticed behind neutral language.

Main negative impacts:

Inappropriate standardized replies: Treating a complaint like a simple info request generates frustration and damages your brand image.
Missed sales opportunities: The positive emotional signal of a prospect ready to buy is often drowned in the mass of technical queries.
Lack of quality oversight: Without emotional indicators, your support teams are flying blind, unable to identify real friction points.

Swiftask connects analytical intelligence to your BotPenguin flows. Every message is analyzed in milliseconds to detect sentiment, allowing for immediate automated actions.

BEFORE / AFTER

What changes with Swiftask

The classic BotPenguin flow

The chatbot responds according to rigid rules. If a customer expresses strong anger, the bot continues to suggest automatic menus, alienating the user until they leave.

The Swiftask + BotPenguin approach

As soon as a negative sentiment is detected, Swiftask interrupts the flow, notifies a human in priority, and suggests an empathetic response, saving the customer relationship.

Deploy emotional analysis in 4 steps

STEP 1 : Connect your BotPenguin account

Link your BotPenguin instance to Swiftask via our secure connector. No heavy development is required.

STEP 2 : Define sentiment thresholds

Configure the emotion levels (Positive, Neutral, Negative) that should trigger an alert or a specific action.

STEP 3 : Build your action workflows

Determine what happens after the analysis: Slack notification, CRM ticket creation, or human agent handover.

STEP 4 : Monitor and refine

Visualize emotional trends on your dashboard and fine-tune your AI's behavior continuously.

Advanced analysis capabilities

Swiftask breaks down every message by tone, urgency, and intent, offering a granular view of customer satisfaction.

Target connector: The agent performs the right actions in botpenguin based on event context.
Automated actions: Automatic emotion detection. Intelligent conversation routing. Real-time alerts on Slack or Email. Emotional score archiving for BI reporting.
Native governance: All these analyses comply with confidentiality standards, ensuring the security of your conversation data.

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

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

1. Churn reduction

Identify dissatisfied customers before they leave thanks to early negative sentiment detection.

2. Proactive support

Empower your teams to intervene only when necessary, for maximum ROI.

3. Conversion improvement

Detect buying signals and route those leads to your best sales reps.

4. Data-driven management

Make decisions based on actual satisfaction data rather than gut feelings.

5. No-code setup

Deploy sophisticated AI without hiring data scientists or specialized engineers.

Reliability and data protection

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

End-to-end encryption: Your conversation data is protected according to the strictest GDPR standards.
Localized processing: You maintain full control over the processing zones of your analysis data.
Data governance: Define precisely which data is analyzed and stored by Swiftask.
Full auditability: Every decision made by the AI is traceable and explainable for your compliance needs.

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

RESULTS

Impact on customer performance

Metric	Before	After
Crisis reaction time	Reactive (post-complaint)	Proactive (real-time)
Customer Satisfaction (CSAT)	Stagnant	+25% on average
Resolution rate	Manual and slow	AI-accelerated
Technical complexity	High	None (No-Code)

Take action with botpenguin

Turn conversations into strategic insights. Anticipate frustrations and celebrate successes in real-time.