Advanced footfall analytics based on the data from mobile phones and accurate video sensors. By combining these two sources you can get a very accurate picture about footfall trends, overal location potential and basic customer profile.Request demo
Precise footfall & store occupancy numbers
Street traffic potential
Window capture rate
New vs. Returning visitors
Frequency of visits & average time
Even after the store is closed, the movement in front of it is considerable. By lengthening the opening hours, we will gain additional business opportunities.
Employees around lunchtime cannot fully serve all customers.
After launching the campaign, the number of visitors increased by 15% over the three weeks, with a new visitor increase of 30%.
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 implement it.
Your data fulfills me with optimism.
Based on the information collected from Pygmalios analytics solution, we plan to make changes and rethink our window strategy across the entire Mango chain in Slovakia.
I think that the presentation definitely fulfilled both, the promised agenda, as well as the expectations with which we agreed to it - and the particular demonstrations of how to compare and search within the online analytical tools were definitely inspirational to me personally.
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.
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