One can sort the data in tables in ascending or descending order by different boxes, which allows to determine and understand tendencies and patterns, find lowest and highest showings.
You can easily export table data in HTML, CSV, EXCEL for further processing or to send the report.
It’s possible to add a marketing comment to each line of the report in order to later trace the efficiency of marketing campaigns.
Sort by any column
Monitor all the units of your chain
Instant calculations for numerous counting points
Export in EXCEL, HTML
Also available for Months and Years
Need to be able to sort the data by any column? Easy! Try sorting by people going in, for example
Bar charts demonstrate traffic dynamics in bars of different heights according to the showings.
Data output with detailing by Years-Year-Months-Month-Days-Day-Hours-Hour-10 Minutes.
Reports include geographical data and the system can instantly show the traffic in all the companies, in all the countries, states, regions, cities.
Marketing specialists can appreciate visual comparison of even large amounts of data that can be easily analyzed and guide future decisions.
It enables marketing specialists to discover common traffic tendencies by overlaying repeated data in a certain period and show it in the form of a density map. The report can demonstrate average traffic dynamics for a day, a week and a year, which helps determine lowest and highest traffic showings.
So how to use it?
On the map below you can see "hot" and "cold" traffic days — Saturdays and Sundays are in the low. Perhaps, it’s better to introduce some enticing offers on these days.
Now let's look at the mean traffic in a week throughout a year.
You can see that Mondays, Tuesdays and Wednesdays have the highest showings, so we prolong open hours and employ more staff.
Saturdays and Sundays are empty — we introduce interesting offers on these days and advertise that.
Another fascinating report: average traffic density in a day — yes, throughout a year!
12 and 1 pm have the densest traffic — more staff, speedier work.
10 am and 7 pm are low — enticing offers, advertising.
And below is a report on traffic by months throughout a year. It can help trace seasonal patterns.
With the analytical graphs report you can accurately trace traffic tendencies throughout a year, a month or a day and evaluate comparative traffic dynamics on all the counting sites.
You can view all the counting sites at the same time or choose specific stores and display the data by various periods of time.
Data output with detailing by
A graph report is dynamic and can quickly switch to different ranges of data output (Day-Month-Year).
Instant calculation for numerous sites, from 100 and more.
Analytics report allows predicting traffic, determining tendencies and “hot” periods for a retail chain.
Data output with detailing by Day-Week-Year.
It enables marketing specialists to discover common traffic tendencies by overlaying repeated data in a certain period and show it in the form of graphs.
Denser traffic in the afternoon and the evening — working harder!
Worth trying to prolong open hours — maybe, the traffic will increase in the morning or in the evening!
Analyzing the highest showings and the workload of the staff.
Pie chart reports demonstrate traffic in the stores as a circle comprised of different sectors sorted automatically. It enables marketing specialists to discover traffic tendencies in large amounts of data by visually comparing the data output.
Since the data is shown in the form of sectors, it is easy to analyze and use it as the guideline for future decisions. When you put the cursor on a sector, it shows the information about the relevant site.
Heatmaps show average time customers spend in a shopping center.
The colour spectrum indicates the time people spend in a certain zone.
It allows determining zones of interest, e.g. which part of the showcase or product display attracts the most attention.
This report can be used for detecting zones for efficient sales and for learning which products customers show the most interest in.
Tracking maps demonstrate average customer movement.
Tracks indicate the direction of movement and the colour spectrum shows the number of visits to a zone.
It helps determine customers’ routes on-site, e.g. along the showcases or product display.
This report can be used for detecting zones for efficient sales and for learning which products customers show the most interest in. It can also help evaluate general likability of the venue.
- The user can open the web application and evaluate the traffic on site any time
- Supporting mobile devices: laptops, tablets, smartphones…
- Access to the traffic data from any corner of the world
- Data security, the data is only accessible within the organization
- Secure connection channel during the viewing
- Secure data transfer
- Data processing on the client’s server, no outside services needed
- Fast speed when processing big data
- Readings shown in real time
- Effective reports detailed by YEARS-YEAR-MONTHS-MONTH-DAYS-DAY-HOUR-10 MINUTES
- Leveled view of the sites according to the user-set hierarchy
- 24/7 access to the web analytics
- Pie charts allow visually evaluating the traffic of a retail chain
This unique patented MegaCount report helps determine patterns and tendencies
A graph showing a day’s traffic on all the counting sites
Daily traffic graphs for the whole chain
Daily traffic of the whole chain in bar charts
Integration of the data from people counters into CRM systems
Find out more: firstname.lastname@example.org