CountBOX works like an “off-line” google analytics for malls and retail stores. CountBOX combines data from sensors located at mall or store doors, WIFI sensors located within the mall or store, shopper demographics based on facial recognition software and internal mall and retailer data to create actionable insights and analyses.
CountBOX provides information that helps our clients increase profits. Shopper traffic information is the backbone of the CountBOX system. By analyzing shopper traffic CountBOX calculates key performance indicators (KPI’s) that our clients use to increase sales while reducing costs. CountBOX provides extreme value for our clients. In many cases the CountBOX system can pay for itself within months.
A Typical Case Study
Uno Company is a small retailer with only three locations. Each location had a sales floor of approximately 700 square feet. Two of the locations had similar sales while the third location was not meeting its sales goals. The company owner was considering either changing management at the third location or closing it all together.
While the owner was mulling what to do with the third location, he contracted with CountBOX to provide shopper analytics on all three locations within his small chain. After installing CountBOX sensors at door entrances in all three locations and analyzing the shopper traffic data along with internal sales and transaction information for the three stores, CountBOX was able to determine the following:
- Store 3 (the low performing location) had the highest conversion rate or percentage of shoppers making a sale. Unfortunately, this location had the lowest traffic counts of the three stores. The owner came up with several advertising and sales promotions to drive traffic to the store. CountBOX was used to determine the best promotions by tracking the lift in shopper traffic for each of the advertising and sales promotion campaigns.
- Store 2 was the best performing store according to the POS data. It had the highest sales and the greatest amount of transactions. The shopper traffic information revealed that the high sales and transactions were caused by the sheer number of shoppers that shopped in the store. This store had the highest traffic. However, when CountBOX calculated its conversion rate, Store 2 had the lowest conversion rate among the three stores. When store labor data was analyzed along with the shopper traffic and sales and transaction data, it was found that the shopper to staff ratio was within reason. Thus the store was being staffed correctly. However, the staff was not motivated to close sales. Consequently, sales training was implemented in the store to help it to increase its conversion rate and drive more sales. The owner also considered an incentive program to reward employees for closing sales.
- Store 1 was the second best performing store in sales. After analyzing the store’s shopper traffic, its shopper traffic distribution revealed that the store’s peak traffic hours occurred in the late afternoons and evenings. When analyzing the store’s labor data and shopper to staff ratios, CountBOX uncovered that the store manager was scheduling a constant number of staff throughout the workday. For most of the day, the store was overstaffed. However, during the peak traffic hours in the late afternoons and evenings, the store was understaffed. Thus the store lost sales as conversion rates dropped during these hours. CountBOX worked with the owner and store manager to adjust work schedules to meet the shopper traffic demand. Fewer employees were scheduled during the morning hours. Then after 3:00 PM more staff were added. This adjustment had a two pronged effect. Labor costs were saved during the early parts of the day and conversion rates were increased during the “rush” hours causing increased sales.
Without the CountBOX shopper traffic analyses the chain owner would not have been able to make the corrections to improve the operations in all of his stores. The improvements helped him to drive up sales while making his operations more efficient. After the adjustments were made within the stores, the gains in sales paid for the CountBOX system in a matter of weeks.
Since improving his operations, the owner has been able to open 15 new locations. Each location has a CountBOX system installed. CountBOX is the chain’s main analysis and monitoring tool. Each location is able to be monitored using the same key performance indicators (KPI’s). Constant monitoring allows management to make adjustments to keep conversion rates and sales high.
CountBOX can help retailers and mall developers to become more profitable by:
- Providing analyses of shopper traffic to better understand the shopper traffic patterns for:
- The holiday season
- Other national or local holidays
- Special events
- Driving up conversion rates
- Optimizing staffing
- Refining operating (open) hours
- Evaluating advertising and sales promotion campaigns
- Assessing new locations or closing existing locations