The Challenge

During crises like natural disasters or geopolitical events, one of DigiPeak’s clients needed to track public sentiment at scale—but struggled with several limitations:

• No way to monitor live social media reactions
• Difficulty distinguishing organic sentiment from branded content
• Inability to quickly surface the most urgent concerns

In fast-moving situations, the lack of real-time, accurate insights meant delays in response and missed opportunities to engage meaningfully with the public.

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The Solution

DigiPeak built an automated end-to-end sentiment analysis workflow using Eden AI, Make.com, and Google Looker Studio.
Here’s how it worked:

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• Data Collection: Scraped thousands of social posts and filtered out brand-owned content
• Sentiment Analysis: Used Eden AI’s unified API to process text with Google Natural Language and OpenAI models
• Data Management & Visualization: Stored structured results in Google Sheets and visualized trends with dynamic dashboards
• Automated Reports: Generated HTML-styled summaries delivered directly to stakeholders via email

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The Results

With the new system, the brand was able to:

• 🧭 React within hours to pressing public concerns
• 📉 Address misinformation quickly by spotting sentiment spikes
• 📊 Make real-time, data-backed decisions during crisis situations

This allowed them to prioritize safety messaging, adapt communication strategy, and build trust in the midst of uncertainty.