The highest traffic in front of the shop: Thursday
+30%
traffic during promo campaign
4 p.m.
The peak hour
30%
Repeated visits
71%
Passersby turned into visitors
A typical loyal customer visits the store on a weekly basis
25 min
Time spent in the store
GENDER ALLOCATION
10€
ATV
12pcs
UPT
The most visited zone today is Bakery
6
People currently in this section
90%
of all visitors visited the zone
43 sec
AVG time spent in this section
6 p.m.
peak hour
93%
conversion into a paying customer
passersby
Know your customer even before he enters your store
Do you know how many people are walking around your store during the day? Even after the store is closed, the movement in front of it can by considerable. With the Traffic Module you can measure all movement in front of your store and know your store potential.
more about Traffic
visitors
Count your visitors with more than 90% accuracy
Measure your campaign and know its performance. You will know exactly how many new and loyal customers are attracted. You can compare these insights to your transactional data and see the real impact on your business.
more about Traffic
behavioral
Understand visitor behaviour and know their demographics
Browsing can show you whether the categories in the store are distributed correctly. It will show you your hot and cold zones. You will also see how much time does the customer spend in the shop effectively and the exact path or distance he walked. With demographics, you will know the gender and age of your visitors.
more about Browsing more about Demographics
Store
Measure your Zone Performance
Measure each zone independently and see its occupancy, stay time and revenue. This information will give you a deeper insight into customers needs, your real offer and lost business potential.
more about Browsing
business metrics
Store Potential
Identify the lost sales potential. These metrics will help you find the roots of bad store layout, long queues or bad services. You can take immediate action for improvement.
more about Buying more about Queue more about Browsing
Learn From The Analytics
Proven by Smart Companies
Now we can see which parts of the store customers intuitively prefer during the week. This helps us to refine the planning of the work staff and meet our customers needs.
Download the story and learn how O2 uses Pygmalios analytics for workforce optimization
Download Case Study
We are constantly looking for opportunities to improve service, provide a comfortable shopping experience in a comfortable modern environment, and Pygmalios’s service helps us to apply it.
Download the story and learn how dm drogerie markt uses analytics
Download Case Study
