As retailers begin to rebuild their sales pipeline, measuring changes in footfall over time provides an effective means of monitoring demand. As a metric, arrivals relate to the start of the sales process and is very important in calculating sales conversion and service intensity.
Aura Vision not only counts the number of people entering a store but also provides an in-depth demographic analysis of arrivals, giving you further insight into your understanding of store demand during the COVID-19 crisis.
Occupancy tells you how many shoppers are in your store during a specific period of time. By studying trends in occupancy you can accurately measure customer and staff activities in-store and ensure that staff are in the best position to convert shoppers into customers.
Again, Aura Vision allows for deeper analysis through demographic analysis and customer/staff segmentation. As retailers seek to limit the spread of COVID-19, occupancy limitations will be used to ensure social distancing in-stores.
Dwell time is the length of time that a visitor spends in the store and in product areas. Dwell time can also be used to calculate product engagement in-store. Dwell time is an essential performance indicator for every retailer: it could be used to help understand the behaviour of your customers during their visit and can help increase average spending.
Understanding the relevance of dwell time in your business, during the COVID-19 crisis is necessary for understanding how the habits of your target market have changed over time.
With Aura Vision's pathway analytics we connect the millions of observed events into journeys from your customers’ point of view. This is a data-driven approach to discovering, analyzing and influencing how customers move through your stores during the COVID-19 crisis.
Typical applications of customer pathway analysis might include understanding how different groups of shoppers move through the store and ensuring that core audience groups are experiencing the store in a way that is congruent with their shopping behaviour. Taking things a step further with Aura Vision's ability to segment staff from customers, you can compare their respective movements and ensure that staff decisions align with customer behaviour in-store.
By using your existing cameras to analyze the multitude of data points in real-time, you can discover the most important customer journeys and prioritize those opportunities that significantly impact business goals like increasing revenue, reducing churn and improving customer experience.
To learn more about how you can leverage your existing cameras to drive conversion in-store, get in touch with us at hello@auravision.ai.
