Understanding your metrics is the foundation of using Vemcount effectively. This guide explains how to interpret the most common KPIs and what actions to take based on what you see.
Visitors Today | Compare to same weekday last week for context — Tuesday traffic this week vs last Tuesday. Weekday patterns are more reliable than calendar-date comparisons. |
Live Inside | If consistently high vs. capacity, consider opening additional checkout lanes or deploying more staff. If low during trading hours, check that sensors are online. |
Top location (benchmark) | Your highest-traffic store is your natural benchmark. If Fields averages 8,000 visitors/day, use that to calibrate targets for similar-format stores. |
Telecoms / Electronics | 15–35% is typical. Below 10% usually indicates a browsing-vs-buying issue — review staff engagement or product range. |
Fashion / Apparel | 20–40%. High footfall with low conversion often signals window shoppers — review display and promotion. |
Food & Beverage | 40–70%. Much higher because intent to purchase is already high at entry. |
Under 5 minutes wait | Acceptable in most retail contexts. |
5–10 minutes | Review staffing during this period. |
Over 10 minutes | Customer drop-off risk is significant. Open additional service points or deploy more staff immediately. |
LW vs SWLM = Last Week vs Same Week Last Month. A negative % means traffic declined compared to the same week one month ago. This smooths out day-of-week variations (comparing Monday-to-Monday rather than calendar dates) and is a better trend indicator than simple week-on-week comparisons.
If your location has AI sensors, demographic data shows the gender and age split of your visitors. Use this to:
Tailor product displays and signage to your actual customer profile
Plan gender-targeted promotions around the observed demographic split
Monitor demographic shifts over time — a changing customer profile may require a product range review
Key principle: Always compare data in context. A drop in visitors on a Monday public holiday is expected. Use the Events calendar to mark known anomalies so your team interprets charts correctly.