Tarification

Decode your audience's emotions with AI-driven analytics

Connect Castmagic to Swiftask to automatically analyze the sentiment of your podcasts and audio content. Finally understand how your listeners truly feel.

Resultat:

Transform hours of audio into strategic data to guide your future content.

The challenge of understanding audio emotional engagement

Producing audio content is simple, but measuring emotional impact is complex. You often don't know if your messages resonate positively, spark interest, or lack clarity.

Les principaux impacts négatifs :

Lack of audience visibility: Without analysis, you produce blindly, unable to know which segments of your podcasts generate the most engagement.
Too much time for analysis: Re-listening to every minute of audio to assess tone and sentiment is a massive waste of time.
Untapped data: You have a goldmine of information in your recordings, but it remains buried in unstructured files.

Swiftask leverages the power of Castmagic to transcribe and analyze the sentiment of your audio content in real time, providing you with clear dashboards on mood and message impact.

AVANT / APRÈS

Ce qui change avec Swiftask

The traditional approach

You publish a podcast and wait for comments. You try to guess the general sentiment by reading a few scattered reviews, with no certainty about the majority's true opinion.

The Swiftask + Castmagic approach

As soon as you import your audio into Castmagic, Swiftask processes the transcription, identifies emotional peaks, and delivers a detailed sentiment analysis by segment.

4 steps to analyze your audio content

ÉTAPE 1 : Import your audio into Castmagic

Upload your audio files or podcasts into your usual Castmagic workspace.

ÉTAPE 2 : Enable the Swiftask connector

Link your Castmagic account to Swiftask to automate the data flow to your AI agent.

ÉTAPE 3 : Define your analysis criteria

Configure your agent to spot specific sentiments, keywords, or tone shifts.

ÉTAPE 4 : Receive your insight reports

View overall and detailed sentiment directly from your Swiftask dashboard.

Key features of AI audio analysis

The agent examines linguistic nuances, rhythm, and tone to classify content by sentiment (positive, negative, neutral).

Connecteur cible : L'agent exécute les bonnes actions dans castmagic selon le contexte de l'événement.
Actions automatisées : Automatic identification of emotional segments. Summary of key points by sentiment. Export data to your management tools.
Gouvernance native : AI accuracy improves with every new audio analyzed, ensuring increasingly relevant results.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-castmagic@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 choose this integration?

1. Data-driven decision making

Stop guessing what works, know it with precise metrics.

2. Operational time saving

Analysis is instant, freeing you from hours of manual re-listening.

3. Content quality improvement

Adjust your tone and topics to maximize audience engagement.

Data confidentiality

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

Secure processing: Your audio files are handled with the highest security standards.
Intellectual property: Your content remains your exclusive property, with no public model training.

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

RÉSULTATS

Impact on your content strategy

Métrique	Avant	Après
Analysis time	Hours of listening	A few minutes
Insight accuracy	Subjective	AI-powered

Passez à l'action avec castmagic

Transform hours of audio into strategic data to guide your future content.