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We put the
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Take your operations to the next level with data-driven content analysis and real-time media monitoring.

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M.I.N.D. supports decision-makers or those preparing decisions with data and insights to enable the proactive management of the entire organization or its subunits. It gathers data from various sources, aligns them, and uses analytical competencies and algorithms to represent the operations of a given media outlet (news portal).

Beyond aggregated, comprehensive statistics, it can provide deep insights into activities, showing the specific performance of individual editors or articles. Using a proprietary algorithm-based topic discovery solution, it organizes published content into clusters beyond sections and editorial tags, opening up new dimensions for understanding operations.

Additionally, based on previous reading habits, it can predictively suggest topics, adjusting them to the time of day (consumer behavior).

What can M.I.N.D. do?

The user of this solution will be able to answer fundamental questions, such as how the website performs compared to the pre-defined plans and expectations. Beyond these statistical data, it can help to gain deeper insights into how readers use the site, which topics generate high reach due to their quality, or which ones are driven by Facebook posts

The platform provides the user with a visualization-supported view of the actual role, quality, visitors, and reading habits of the website, which can even be compared with prior assumptions.

Performance tracking from 360 degrees is achieved through multiple data sources, including:
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...and a wide range of additional digital analytic tools.

Comprehensive Data Insights

Through extensive data collection, the application can provide a highly complex view for the user.

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Article and editor performance measurement

  • Readership/traffic data
  • Traffic sources
  • Facebook performance
  • Easy identification of best/worst entities
  • Quick and simple comparability
  • Custom solutions
  • Export options
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Topic suggestions

  • Combined analysis of remote and recent data
  • Top 10 topics by time of day
  • Hourly breakdown of topics
  • Google Trends
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Competitor analysis

  • 50+ media outlets
  • Statistical and content-related aspects
  • Missed opportunities
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Let’s work together

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