Kiosks are a great way to showcase your products and attract customers in busy locations. But how do you know where to place them for optimal results? In this article, you will learn how to use data to identify the most effective kiosk product placement and boost your sales.
Data is the key to understanding your customers, their preferences, and their behavior. By collecting and analyzing data from your kiosks, you can gain insights into what products sell best, when, where, and why. You can also test different variables, such as location, layout, design, pricing, and promotion, and measure their impact on your performance. Data can help you optimize your kiosk product placement strategy and make informed decisions that increase your revenue and customer satisfaction.
Los datos nos facilitan entender nuestro entorno para la toma de decisiones o identificar potenciales mejoras internas o externas a la organización. También permiten entender lo que sucede en el presente, sino que adicionalmente al contar con información veraz y actualizada, se puede prever y medir el rendimiento de las decisiones que se tomen.
Depending on your goals and resources, there are many types of data you can collect from your kiosks. Sales data, such as the number and value of transactions, can help identify your best-selling products and peak hours. Customer data, including demographics and feedback, can be used to segment the market and improve customer service. Location data, which includes traffic and footfall, can guide you in choosing the best spots for your kiosks. Lastly, operational data, like costs and efficiency, can help optimize processes and reduce expenses.
En una Gestión comercial: Ventas totales, por producto o tiempo Productos más vendidos y menos vendidos Gestión de almacenamiento Perfil de los clientes Historial de compras Encuestas de satisfacción Efectividad de las campa?as publicitarias Participación en redes sociales Rentabilidad por producto o línea de productos Número de visitantes Tiempos de entrega Tasas de devolución
Collecting data from kiosks requires budget and technology, and there are various methods to do so. POS systems, for example, can capture sales, customer, and operational data automatically and store them in the cloud. Sensors can detect and measure physical phenomena such as motion, temperature, or light to capture location data. Surveys are tools that ask customers questions and record their answers to capture customer data. Cameras, such as CCTV, webcams, or smartphones, can record and stream images or videos to capture location data and customer data which can be processed with artificial intelligence. All of these methods can help provide valuable insights into the performance of your kiosks.
Antes de llevar a cabo la recopilación de datos es necesario definir, de manera clara, los objetivos del proceso. ?Qué información específica necesitas recopilar y por qué? El siguiente paso es planificar el proceso y definir las técnicas empleadas. Las herramientas que sirven de gran apoyo están implementadas en la operación como lo es Google Analytics, CRM y ERP, solo queda es proceder.
Analyzing data from your kiosks can be done with a variety of tools and techniques, depending on your skills and objectives. Dashboards are a useful way to view data in a visual and interactive format, like charts, graphs, or maps. Reports are documents that summarize data in a written way, such as tables, lists, or narratives. Analytics are processes that use statistical and mathematical techniques to your data, such as calculations, models, or tests. Lastly, optimization is the process of improving data quality and accuracy through cleaning, filtering, or validating. All of these methods can help you monitor your kiosks, compare results, identify trends and patterns, communicate findings, explain actions and justify recommendations.
Te en cuenta estos pasos. 1.- Define bien tu problema. 2.- Conoce tus datos. 3.- Identifica el set de datos ideal 4.- Haz tu análisis reproducible 5.- Reta tu análisis
Data can be used in many ways to identify the most effective kiosk product placement, depending on your situation and strategy. Experimentation, such as A/B testing or split testing, can help you find the right combination of location, layout, design, pricing, and promotion for your products and customers. Personalization can be used to customize your kiosk product placements to match customer preferences and behavior. Automation can also be employed to automate placements via technology based on data and rules. By utilizing data to identify the most effective kiosk product placement, you can optimize your merchandising and increase sales. Data can help you understand customers better, analyze results, and use insights to improve performance. Data can make kiosks more attractive, relevant, and profitable.
Hay que tener en cuenta que los datos no proporcionan conocimientos profundos por sí solos, Crear una hoja de ruta para la estrategia de datos se convierte en algo interesante ya que al utilizar correctamente pueden descubrir conocimientos aplicables que pueden mejorar los procesos, evaluar la adecuación financiera, aumentar la satisfacción del cliente y proporcionar otras métricas que predicen el éxito empresarial o advierten de posibles amenazas.