IN-STORE ANALYTICS AND ENGAGEMENT
RetailerIN is an advanced in-store analytics solution, able to measure and analyze, in real time and with high precision, how shoppers move and interact with products in a physical store, to optimally manage queues and to personalise the shopping experience through in-store marketing services. Collected data are transformed into KPIs that can be used by marketing departments, category managers and store managers to enhance profitability and improve operational activities.
CASE STUDIES
Learn about the use cases we successfully worked at!
FEATURES
CUSTOMER BEHAVIOUR ANALYTICS
Customer knowledge at your fingertips
RetailerIN provides a detailed view of what customers do from the moment they enter the store to checkouts, identifying the most traveled routes, asset preference and how much time shoppers spend in store and in specific areas. Such knowledge can be extracted at the department level, down to the single aisle or product category.
CONVERSION ANALYTICS
Full shopping funnel visibility
Thanks to the integration of RetailerIN customer behaviour analytics with sales data, retailers can test different layouts and product placements and analyse their impact on the full shopping funnel. Understanding and influencing consumer’s behaviour and decisions increase the ability to improve the customer experience and sales performance.
IN-STORE OPERATIONS
Queue management to maximize quality of service
Improve the shopping experience of your customers by reducing waiting times at checkouts. RetailerIN queue management services allow retailers to control queue formation in real time and optimize staff allocation, improving the quality of service and increasing customer satisfaction and loyalty.
IN-STORE MARKETING SERVICES
Engage customers in real-time
RetailerIN delivers proximity marketing services based on the exact customer positioning in-store to offer a personalized shopping experience that can increase store ROI. RetailerIN in-store marketing services bring the same dynamic interaction typical of e-commerce sites to brick-and-mortar stores. This enables retailers to deliver up-to-date personalized offers, faster routes based on shopping lists and to promote cross-selling products.