Zapt Tech's technologies collect the historical flow of customer visits in large Big-Data bases and generate executive dashboards with valuable indicators for dozens of strategic analyses:
- What are the areas with the highest density?
- And the dead areas?
- What are the typical visitor flows of customers who buy more?
- Was there an increase in flow in the promotion A section?
- What were the busiest stands/sections during the event?
- What is the typical flow of foreign visitors?
E-Commerce Indicators in Physical Stores
Precise indicators of the flow of visitors in physical spaces enable managers of shopping centers, tourist facilities and events to take the same smart actions and data-based decisions established by e-Commerce strategists:
Based on the typical flow of customers, infer their consumption profile and interests and then offer effective promotions on their next visit;
Be wary of highly visited sections with few sales: Attractive products at a high price? Exposure problem?
Be wary of highly visited sections with few sales: Attractive products at a high price? Exposure problem?
Analyze the “dead zones” by time of day and day of the week and carry out campaigns with visible results
Bottlenecks, overcrowding in certain sections? Rearrange the layout.
Multiple Technologies for Maximum Sampling
To maximize the sample of visitation flows, the Zapt platform uses a mix of technologies, from GPS for outdoor areas to WiFi gateways and Bluetooth beacons for indoor spaces – embedding “collectors” in any applications via simplified SDK for maximum accuracy and refinement.
Indicators
- Flow of Visits
- Corridor Flow
- peak hours
- Average Length of Stay
- Return rate
- Unique Visits
- Online and offline operation, without internet connection
- Authentication integrated with social networks (Login)
- Statistics Segmented By Profile (Authenticated Users)