Automobile 4S Store Smell Scene · Chain Store

The olfactory scene solution designed for car 4S stores accurately combines the high-end image needs of car 4S stores, enhances customers' overall experience through high-end, warm, and comfortable fragrance design, stimulates their purchasing desire, and increases brand loyalty. By tailoring fragrances for different areas such as exhibition areas, customer reception areas, rest areas, after-sales service areas, test drive areas, etc., not only does it create a pleasant shopping environment for customers, but it also promotes sales conversion and merchant efficiency. Through an intelligent fragrance management system, we ensure that every customer can enjoy a high-end, comfortable, and professional service experience.

Program objectives and planning

Enhance customers' high-end experience and comfort: Through carefully designed fragrances, enhance the high-end image and comfort of 4S stores, helping customers feel a luxurious and professional brand atmosphere.

Enhance customers' emotional mobilization and purchasing desire: Through the mobilizing effect of fragrances, help customers improve their shopping mood, stimulate their purchasing desire, and promote consumption.

Create a high-end and professional brand atmosphere: Through the design of fragrances, enhance customers' sense of identification with the 4S store brand, making them feel noble and professional from the first moment they enter the store.

Enhance customers' memory points and loyalty to the brand: Create unique olfactory memories for customers through fragrances to enhance brand memory points and loyalty.

Improve sales conversion rate and customer satisfaction: By optimizing the fragrance environment, enhance the overall shopping experience of customers in 4S stores, increase sales conversion rate and customer follow-up rate.

Effect evaluation:

Evaluate the effectiveness of fragrance solutions through customer satisfaction surveys, social media feedback, sales data, and dwell time, and continuously optimize based on feedback data.