For many physical retailers, the development and operation of offline traffic is no less than the input of online traffic. Most of the sales volume of offline stores is mainly based on old customers, in order to avoid this part of the flow loss. Pushing a low price or promotion again may result in a second purchase, but the promotion of this way is in a funnel-like decline. So how do we effectively promote and enhance customer repurchase rates?
Accurate marketing
Use big data to predict what customers might want to buy based on their spending habits and browsing behavior. Therefore, in the process of browsing by the customer, or regularly pushing the content pushed to the customer, the recommendation marketing of similar products is added.
Periodic recommendation
Based on the cyclical behavior of customers' past purchases, we predict the same consumption behavior after the same cycle. During this cycle, a directional coupon can be pushed, and a member's concern may be raised.
Scene marketing
Through consumer big data analysis, enterprises can easily organize customer needs, predict customer usage scenarios, and optimize products and services. Various new commodity display racks and POP display stands will also become an integral part of the new retail form.
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