The project represents Acxiom, a widely established enterprise data and technology company with significant global scale (4,400+ employees). While the entity itself demonstrates immense real-world utility, audience reach, and historical traction, the specific submission quality is poor (generic text, 'null' revenue, vague claims like 'most people'). Consequently, the score reflects the high intrinsic value and verified scale of the business, heavily penalized by the lack of specific evidence and low-effort response in the submission data.
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Score Breakdown
Project Details
Algorithm Insights
Recommendations to Increase Usefulness Score
Document User Growth
Provide specific metrics on user acquisition and retention rates
Showcase Revenue Model
Detail sustainable monetization strategy and current revenue streams
Expand Evidence Base
Include testimonials, case studies, and third-party validation
Technical Roadmap
Share development milestones and feature completion timeline