Retail Analytics for
Car dealerships
Car dealership operators always strive to offer every customer an appealing experience. But in addition to attractive showrooms and vehicles, the challenge lies in understanding customer behaviour. Which cars attract the most attention and how long do customers stay at cars or in service areas?
Increase the conversion rate at your car showrooms
Imagine your showroom is teeming with visitors, but how do you know who is a potential buyer and who is just browsing? Crosscan offers the solution. A sensor is installed at the entrance and counts every customer accurately, giving you clear insight into visitor numbers and conversion rates.
The advanced option for filtering out employees ensures that only genuine customers are counted, providing accurate data. This means you can trust the figures and concentrate on converting visits into sales.
Maximise revenue from showroom visits
Imagine being able to track every time a customer views the interior of a vehicle from the outside. To do this, a 3D sensor is placed on the ceiling above the vehicle(s) and counts these interactions accurately, giving you highly accurate real-time data on customer interest.
By comparing this data with daily visitor numbers, you can also gain valuable insights into which vehicle models attract the most attention. This allows you to measure the conversion rate for vehicle visits and focus on the vehicles that appeal most to your target group.
Analysis of demographic characteristics by age and gender
Customer analysis can be used to determine more than just the number of people in front of the store or on the sales floor. It is also possible to learn more about the demographic structure of visitors and systematically evaluate their behaviour in the store. This includes, above all, age and gender.
Furthermore, it is possible to record the group size of customers who shop together. With this knowledge, the product range can be even better adapted to the demographic structure of the customer base. Differences in gender and age structure between locations can also explain differences in performance.
Analysis of movement patterns by continuous tracking at the POS
As part of customer analysis, it is extremely important to continuously record typical walking routes in order to understand customer behaviour on the sales floor. Retailers can use this data to implement appropriate optimisation measures. If retailers know the main walking routes, they can position product groups in a targeted manner to increase sales.
It also makes sense to deploy more staff to provide advice in these areas. To encourage more customers to visit areas that have been less frequented in the past, retailers can use the analysis to adjust the layout, lighting and signage.
Measuring attractiveness at the POS by measuring dwell time
When analysing customers, it is also possible to measure the average length of time visitors spend in a car dealership. This measurement can refer to the total area, but also to individual floors, departments and promotional areas.
Knowing the average dwell time gives retailers another important KPI for additional optimisation measures.
Implement digital visitor analytics
Analysing customer numbers, structure and behaviour has become increasingly popular in the retail sector. Large chain stores in particular are pioneers in customer traffic analysis, using it to make management decisions based on reliable data.
But smaller retailers are also successfully using retail analytics. The key figures obtained form the basis for data-driven management of a store and its sales areas. We support you in selecting the right technology and implementing digital customer analysis for your store.
More than 1,000 brands and companies
already trust in Crosscan.
Do you have any further questions about retail analytics for car dealers or data-based visitor analysis based on demographic target group characteristics?
Please feel free to contact us for further information – we look forward to hearing from you!