FootfallCam Data Library
Exclusive for Analytics Manager V9 Enterprise Users
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Adding an Extra Data Dimension to Your Analytics
Sales and footfall in businesses are often influenced by external factors like economic events and weather. In addition to these dynamics, businesses possess a wealth of data at their own disposal. FootfallCam offers predefined AI models tailored for specific use cases, which can be trained with a customer's own data. This approach has successfully enabled numerous businesses to optimise operations through data-driven decisions, with descriptive, predictive, and prescriptive analytics. The feature will be provided free of charge to all Analytics Manager V9™ Enterprise users.
Data Add-Ons Sought by Most Businesses
Enrich your existing analytics with essential data add-ons
Population Data
By combining it with footfall data, businesses can gain insights into their catchment areas and identify sales opportunities. Demographic breakdown includes:
- Total Population
- Gender
- Age Group
* Population data for all countries are available except Iran and China
Weather Data
Enables businesses to understand the correlation or impact of weather conditions on sales performance and identify traffic patterns in varying weather conditions.
- Weather Condition: Snow, Rain, Sunny, Overcast
- Temperature
- Wind Direction / Speed
- Humidity
Global Holiday Data
Any business may experience fluctuating footfall patterns across holidays and regular days, depending on its nature. Analysing these patterns helps optimising operations - strategic resource allocation, staffing adjustments, and targeted promotions.
- Bank Holidays by Country
- Types: Festive Seasons, National Holidays and etc.
- Duration
Economic Data
Economic states influence businesses' footfall and sales opportunities. During economic downturns, footfall may decrease, impacting potential sales opportunities and consumer spending behaviour. In addition to footfall data, we offer:
- Dow Jones Index (DJI)
- Inflation (CPI)
- Real GDP