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Developer Contest “WebViz”Web Traffic Visualization

Revolutionizing Website Traffic Analytics: Utilizing Visual Pattern Recognition and Seeking Talented Programmers to Develop Prototype

Added value through, added value foryour website data

Most websites do not work. Getting attention is an utmost challenge. Failure is standard, arousing and keeping up interest of website visitors is rare. KPI may describe failure – partly, and only when carefully studied. Careful study needs the same scarce attention again. So, websites, as so many other things suffer from lack of attention on both sides – users and creators.

However, when watching others visiting a website, we quickly understand, what they do not click, where they do not scroll and where they do not stay. When watching different visitors we begin to see patterns of behavior. As we watch behavior and design at the same time, failures in design become painfully obvious.

Current solutions for web traffic analytics rely mainly on the human capabilities of interpreting numbers – something most people are not very good at. Hence, we add something the human brain is incredibly good at: visual pattern recognition.

Naturally, one may ask, how pattern recognition may work over hundreds, thousands or even millions of website visits per day. Do we expect the user to watch every click of her visitors? Surely not. We use several techniques for aggregation without compromising the original idea. How this works can be shown best on your own website data.

So far we have developed a prototype application and successfully tested the concept. We now strive to further extend the application and add more features.

We are actively looking for programmers who have a background in the necessary technology. We seek for outstanding talent and offer a prize of 10 k Euros for the best prototype/concept.

Here is a list of potential innovative ideas for analytical visualization of website activity metrics:

  • Heatmaps: Visualize user engagement by tracking clicks, hovers, and scrolls on specific areas of the website.
  • Funnel visualization: Track user flow from initial page views to conversions and identify drop-off points.
  • Cohort analysis: Group users by similar characteristics and track their behavior over time.
  • Time-based activity visualization: Display user activity over time, such as daily or hourly, to identify peak usage periods.
  • Comparison visualization: Compare website activity metrics between different user groups, pages, or time periods.
  • Network graphs: Map out relationships between users and website content or pages.
  • Sentiment analysis: Use natural language processing to analyze user comments and feedback and identify trends.
  • Geospatial visualization: Visualize user activity by location and identify regional patterns.
  • Multi-channel attribution: Analyze the impact of different marketing channels on website activity and conversions.
  • Predictive analytics: Use machine learning algorithms to predict user behavior and identify potential areas of improvement.

These are just a few examples of potential innovative ideas for analytical visualization of website activity metrics. The possibilities are endless, and it’s important to keep experimenting with new approaches to better understand user behavior and improve website performance.

If you are interested, both as a programmer or as a user of this new way of website traffic analytics please contact us.

Contact us for more information.

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