Ariadne analytics is thoroughly presented in this video. This section explains the different features of a Ariadne Analytics tool that can be used to analyze the performance of a physical business. The tool provides a time picker to select the time period for monitoring, an area picker to analyze a specific section of the store, and a visitors panel to track the number of visitors. It also has visitors funnel, visitors by week/day/hour, and average hourly number of arrivals panels to analyze traffic patterns and trends. The ability to compare two time periods is an invaluable tool to make informed decisions and drive growth for the business.
You may use the time picker to select the time period that you wish to monitor. You may choose to monitor a day, a week, a month, or even a year, depending on your needs. By selecting the appropriate time period, you can gain a better understanding of how your data is evolving over time and identify trends and patterns that may not be immediately apparent.
You may use the second time picker to select the period that you wish to compare the first time period against.
Comparing analytics between two time periods is a powerful tool that can help you to gain valuable insights into how your business is performing over time. You can identify trends, patterns, and changes in your data that may not be immediately apparent when looking at each period individually.
The area picker is located precisely below the date picker.
In the area picker, you can select to be provided analytics on for a specific area. For example, you may first select a division of your store (e.g. Showroom). Once you have selected the Showroom, you may then select a specific section within the Showroom (e.g. Showroom Entrance). This will allow you to view analytics for that specific area only, giving you a better understanding of how that area is performing compared to the rest of the store.
The most visited areas provides you the top 5 most visited area inside your physical business, and next to each record it provides the absolute number of visitors for every area.
When you have selected a second time period you will be able to see how these areas performed over the two different time periods. If the visitors have been increased you will see with green color the percentage of increase (e.g. 57.4% or 28.2% or 3.9%), while if the visitation has been decreased you will see the percentage colored with red characters (e.g. -20% or -102.8%)
If you select from the Area Picker to only visualize a specific area, then instead of a ranking of the areas, the most visited areas in being replaced by a visitors funnel, which visualizes the funnel as follows:
The outer part of the funnel visualizes the total visitors of the store.
The second part of the funnel visualize the number of visitors of the entire Division where the selected area belongs. The third part of the funnel visualizes the visitors of the section that the selected area belongs, while the last part of the funnel visualize the visitors of the selected area.
This panel visualize following a table format the hourly visitation having every day being visualized as a row of the table and every hour being visualized as a column. The intensity of the graph varies between yellow the least visited times and red the most visited times.
These data can be directly linked to your employee scheduling system and enable you to schedule your employees the hours you need them the most. Such efficient scheduling will enable you to keep your sales conversion rate always high, by better serving your visitors and improving their loyalty.
The areas of visitors heatmap is a powerful tool to visualize all aforementioned data on a map. You have the ability to zoom in and out on the map, allowing you to view data at a high level or focus in on specific areas.
The search feature enables you to find any area you are interested in on the map, you may also select to visualize data in both relative (i.e. %) and absolute values, giving you the flexibility to view data in the way that best suits your needs. Additionally, you have the ability to choose how to group areas, giving you even greater control over your data visualization.
And when it comes to visualizing the differences between areas, you have the freedom to choose the method that works best for you. The legend will guide you in interpreting the values on the map, giving you the knowledge you need to make informed decisions based on your data.
The visitor trajectories, also visualized in the following video, enables you to monitor the flow of visitors, or your visitor’s trajectories. This can provide several benefits, including:
Improving Customer Experience: By understanding how customers move through the store, you can optimize the layout and design to improve the customer experience. For example, if a certain area of the store is often congested, the layout can be adjusted to reduce traffic and improve the flow of customers.
Increasing sales: By analysing visitor trajectories, you can identify popular areas of the store and optimize product placement to increase sales. For example, if a certain product category is frequently visited but not frequently purchased, you can adjust product placement or pricing to encourage sales.
Reducing operational costs: By identifying areas of the store that are underutilized, you can adjust staffing levels and optimize operations to reduce costs.
Optimizing marketing and promotions: By analysing visitor behaviour, you can tailor marketing and promotional campaigns to specific areas of the store or specific customer segments, increasing the effectiveness of these efforts.