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Spanish 
August 28, 2025
Crisis management and campaigns
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We developed advanced algorithms for network analysis, sensitive topic prediction, and campaign crisis or success measurement, optimizing both the management of critical situations and the impact of advertising strategies.
The Challenge
Both a television network and a multinational corporation faced the need to manage public perception of their campaigns more precisely and anticipate potential reputational crises.
The main challenge was to have real-time monitoring and predictive analytics tools capable of:
- Detecting risks and crisis levels.
- Measuring campaign effectiveness across specific audiences.
- Adjusting communication based on objective data.
Specific Objectives
- Anticipate crises through predictive analysis.
- Optimize campaigns and their impact.
- Improve communication using data-driven insights.
Phases
Phase #1
Television
- Detailed monitoring during campaign launches.
- Real-time evaluation of ratings and advertising rates.
Phase #2
Corporation
- Identification of crisis levels and affected audiences.
- Optimization of communication based on analytical data.
Results
Initiative 1
Greater control over television campaign launches, with improvements in ratings and advertising rates.
Initiative 2
Faster crisis management in corporate environments, minimizing reputational risks.
Initiative 3
More effective communication, adjusted to real impact metrics.
Iniciativa 4
Analytical tools that strengthened both crisis management and campaign efficiency.
Conclusion
This case demonstrates how the use of predictive models and data analytics enabled organizations across industries to anticipate crises, optimize campaigns, and enhance market impact, establishing new practices in strategic communication management.
