Their Story
Our customer used the CountR system with transaction numbers added as external data sources for analysis. The KPI was defined as the conversion rate (the number of transactions divided by the number of visitors).
Initial data showed a sudden drop in the KPI for November. However, upon further inspection, the reason for the drop was that visitor numbers increased by 35.6% on average, while transaction numbers only followed by 12.1%, resulting in an 82% KPI compared to previous periods.
The store operator discovered that the root cause was inadequate staffing that was not adjusted to the higher visitor counts. Employees on site were unable to provide enough care and attention to the increased number of potential customers, leading to the drop in the conversion rate.
Later on, our partner planned staffing based on visitor numbers from the previous year. As a result, higher conversion rates were achieved and maintained. The visitor number increase in November was 32.4% compared to October, while transaction numbers followed this trend with a 35% increase.