Traffic

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.

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Precise footfall & store occupancy numbers

Street traffic potential

Window capture rate

New vs. Returning visitors

Frequency of visits & average time

Cross-Shopping

example QUESTIONS

Traffic Can Answer

Do I have correctly set opening hours according to the number of people walking around during the day?

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.

Do I have a sufficient number of employees in relation to the current number of customers in the store?

Employees around lunchtime cannot fully serve all customers.

Has the campaign helped me get more visitors? How many new visitors came to the store?

After launching the campaign, the number of visitors increased by 15% over the three weeks, with a new visitor increase of 30%.

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    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. Ľubomír Franta
    Your data fulfills me with optimism. Miloš Hrbatý
    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.
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    Pygmalios Analytics Modules

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    We increased revenue by 6% only by adjusting opening hours.

    Ľubomír Franta

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