Data Spoon enables you to access data - footfall, purchase behavior, demography - that was so far too expensive to get or simply non existent.


Identify the neighborhood that are seeing surge in footfall and avoid those that are losing in popularity.

Be where the crowd is.


Deepen your understanding of the crowd with demographic data, spending habits and crowd segmentation.

Know who the crowd is.

I want to know :

What does the crowd in my area spends the most on
Which district of Singapore has seen the most increase in footfall during the past 6 months
Who is the typical Singaporean walkling around my area : age, gender, spending habits

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Selecting the right location can make or break businesses

Data Spoon uses footfall data to predict footfall trends.

If you are planning on opening a brick-and-mortar shop, you know that selecting the right location  is a key element of success.
While you can easily find out the current attractiveness of a potential location by simply going there and observing the crowd, it is much harder to predict how it might do in the future.
Data Spoon provides you with the following data :

  • daily footfall data for the past 7 days
  • footfall trends for the month ahead,

Footfall data is currently available for direct purchase on Prague Data Spoon and Singapore Data Spoon websites.

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Crowd Insight Data

Data Spoon leverages on footfall data enriched with outside data sources to compute the following data :

  • demographic data : gender, age, etc
  • purchasing data: hourly purchase data segmented by industry

If you are interested in our crowd insight data, please reach out to us via our contact form.

Case Study

How many Females between the ages of 20-30 are visiting downtown Bologna on Monday ?

Read The Case Study
Case Study

Why is Population Flow important for business owners ? The case of Singapore's Marina Bay.

Read The Case Study

Find The Best Location With Crowd Analytics : from Prague to Ho Chi Minh City.

Read The Analysis

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Valuable data at the tip of your finger, updated in real-time.