Traditional heatmaps are great for exact lookups, but they often break the natural flow of time. When data spans across days and hours, it becomes harder to spot repeating cycles or patterns at a glance.
Radial heatmaps solve this by arranging data in a circular layout. Each ring represents a day of the week, and each segment marks an hour of the day. This continuous layout follows the natural rhythm of daily cycles, making patterns more intuitive to spot.
Our Use Case: Understanding Web Traffic and User Behaviour
This chart helps us answer an important digital question:
When do users visit our website most, and how does this vary by day and hour?
Key takeaways from our Radial Heatmap:
Peak Traffic Hours — Instantly identify the busiest times of day
Behavioural Insights — See how user activity shifts with campaigns or promotions
Weekend vs. Weekday Patterns — Spot differences in engagement across the week
Radial heatmaps highlight the cyclical nature of digital behaviour. By showing traffic and engagement in a time-flow format, they make it easy to uncover recurring patterns and optimize campaigns around them.
At Perceptive Analytics our mission is “to enable businesses to unlock value in data.” For over 20 years, we’ve partnered with more than 100 clients—from Fortune 500 companies to mid-sized firms—to solve complex data analytics challenges. Our services include Advanced Analytics, Generative AI, and Business Intelligence (Tableau, Power BI and Looker) turning data into strategic insight. We would love to talk to you. Do reach out to us.