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LOYALTY PROGRAM》

LOYALTY RETENTION

 

Customers can register membership through physical store, e-commerce site and mobile app. With LS eCommerce mobile loyalty solutions, customers can shop, browse product catalogue, as well as create and maintain shopping lists. In addition, they can view product details and check if specific items are in stock, and their stock location. Through the application, you can send personalized communications and offers to customers’ mobiles.

LOYALTY RETENTION
LOYALTY PROGRAM
LOYALTY PROGRAM

You can create various loyalty schemes to give members special offers such as registration offers, referral offers, seasonal offers etc. These incentives encourage them to spend more and attract new customers to your business. Seperate loyalty users into different member schemes according to their spending. You can then deliver tailored campaigns to right customer and give them a sense of superiority.

POINT SCHEME

Loyalty members are automatically rewarded with points after they make purchase via mobile apps or e-commerce websites. You can set up different rewards according to membership levels, product categories, loyalty schemes. Customers can also choose to use their loyalty points as a form of payment at any time.

POINT SCHEME
PERSONALIZED MARKETING
PERSONALIZED MARKETING

By collecting and analyzing data on customers’ consumption habits and purchase history in LS Central, you can segmentate your customers based on their interests and habits. Then, you can develop appropriate marketing campaigns to provide personalized offers to members and optimize your stock based on these insights easily.

RECOMMENDATION
PRODUCT RECOMMENDATION

With LS Recommend, the system recommends relevant products on e-commerce site and mobile app after customers view the items or put them into shopping cart. The machine learning services also use sales history to decide which item or item group customer may likely be interested. When in-store, your sales staff can quickly advise customers by presenting them with items based on their previous purchases and tastes. This advanced feature can increase their performance and overall sales.

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