FakeMRR

FakeMRR is a SaaS tool designed to analyze the narratives surrounding high-profile scandals and controversies, providing insights into the psychological factors driving these events. Uncover the patterns and stories that shape public perception and influence market behavior with FakeMRR.

Key Features

Narrative Analysis: Identifies key themes and patterns in public narratives.
Case Study Library: Accesses a database of analyzed scandals.
Sentiment Tracking: Monitors public sentiment surrounding specific events.
Bernie Madoff & Elizabeth Holmes Analysis: Pre-built analysis of prominent cases.
Jérôme Kerviel Analysis: Pre-built analysis of a notable case.

Best For

✓ Best For

• Market Researchers
• Risk Assessment Professionals
• Financial Analysts

⚠ Not Ideal For

• Real-time crisis monitoring (requires continuous updates)
• Predicting individual behavior – focuses on narrative trends

Category: Marketing

|

Tags: Saas , Marketing

| Launched 4 weeks ago

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Frequently Asked Questions

FakeMRR is a SaaS platform that analyzes the narratives surrounding high-profile scandals and controversies, providing insights into the psychological factors driving these events. It helps you understand the stories shaping public perception.

FakeMRR uses natural language processing to identify key themes, sentiment, and patterns within publicly available information related to a scandal. It then presents these findings in a structured format.

FakeMRR provides narrative analysis, a case study library, sentiment tracking, and pre-built analyses of notable scandals like those involving Bernie Madoff, Elizabeth Holmes, and Jérôme Kerviel.

While the core analysis is pre-built, you can adjust the parameters and focus on specific aspects of the narrative within the platform. Further customization options may be added in future releases.

FakeMRR primarily utilizes publicly available news articles, social media posts, and other online content related to the analyzed scandals to construct its narrative analysis.