Clothing Electric Business Enterprise Art Robot -- Scene Marketing Tool

In recent years, with the gradual increase of traffic costs, it has forced many.

Both have changed the marketing strategy.

Especially in the field of clothing business, the competition of white hot makes businesses have to spend a lot of money to make various promotions outside the station to get traffic.

It is reported that in the clothing industry, businesses need to spend at least 10% of the funds for traffic acquisition.

Such an expensive traffic cost forces businesses to think deeply and tap users' shopping psychology, thereby maximizing the value of traffic, enabling users to buy, increasing sales and gaining more profits.

In fact, users often have several kinds of psychology when shopping.

Lazy psychology

This kind of psychology exists mostly in male users.

I do not want to spend too much time, and I hope to purchase the whole set of Xinyi in a short time.

Two, pursue fashion psychology

Nowadays, many customers (mostly young female consumers) buy clothes for fashion. In the fast fashion industry, users want to wear fashionable style and fashion taste when buying.

Three. Brand recognition and trust.

While shopping, customers will evaluate the store according to the service of the shop, the quality of the clothing, etc., and trust and feel good about the higher rated shops, which will further increase the brand recognition of the store and increase the user's repurchase rate.

As a result, merchants insert various kinds of merchandise recommendation on merchandise pages, trying to induce clicks to browse through numerous products, enhance the depth of visits, and promote the purchase of linked products as much as possible.

However, wishful thinking is not only difficult to pform, but also easy to disturb users' browsing fluency and affect their shopping experience.

Therefore, the clothing business needs a more cost-effective, more logical, and fit the user psychology of shopping fine operation means - merchandise details page scene matching sales.

The scene matching sale is based on the logic of dress matching. When displaying the main products, it can reasonably display one to three pieces of matching products on sale, so as to bring shoppers into the dress.

In the scene, a product presentation method is provided to provide professional level collocation, dress proposal, provide convenient order method, and maximize the activation of its multiple purchase possibilities.

At the same time, scene matching marketing has the following advantages: first, it can read users' needs and provide accurate online shopping guide. It not only solves the trouble of users thinking about how to match, but also makes the operation of a key link jump to facilitate the purchase. Two, when matching, it can follow the fashion trend, combine fashion elements and take into account the overall beauty.

Not only can it make a matching recommendation for the main product style, but it can also give different suggestions to the user according to the different color effects of the product, and users can click on the corresponding links through their own color preferences. Three, the shop that can provide one-stop shopping for wear and matching goods is more attentive and professional in shops and merchandise operation.

Users can enjoy a smooth shopping experience and get quality service, which will undoubtedly enhance their preferences and trust in shops.

To sum up, scene matching marketing can no doubt reduce users' jumps and increase the depth of store visits, and more importantly, it can promote pformation and improve single rate. At the same time, it can also enhance user's return rate, accumulate old customers and increase repeat purchase behavior.

Although the scene matching sale is of great significance to the development of the store, at present, most sellers are not ideal in the application of scene marketing, and some businesses even do not realize the significance of scene marketing.

For most young clothing business enterprises developed by e-commerce boom, they rely on the platform traffic dividends to survive and develop. Now, even though they already have certain sales volume and scale, they do not have a deep understanding of the scene marketing, and it is hard to get too much experience.

The application of scenario marketing in e-commerce is mainly based on TOP shops, especially the brand clothing manufacturers who own physical stores. They are more mature and sophisticated in the scenario of main products.

As online and offline co operation of the clothing business, its clothing category is more complete, pay more attention to the joint purchase of goods, and has established a more mature marketing process system, such as: Semir, Eve, Veromoda and so on.

The seemingly simple scenario is not only related to internal and external communication, including photography team, fashion model, company warehousing and production planning related personnel, and electronic business team responsible for commodity operation, but also needs rich experience and professional skills in the execution team.

Therefore, there are still many difficulties in implementation.

In order to overcome the plight of scene matching sales implementation, the deep drawing intelligent team has built an artificial intelligence system serving the clothing business operators based on the advanced artificial intelligence recognition technology.

The system can not only complete manual mechanization, but also provide a one-stop service for businesses.

At the same time, the deep drawing team can also provide professional and comprehensive solutions to the customers in terms of visual merchandising and commodity operation based on their own ten years of e-commerce experience and the actual operation of different businesses.

Scenario marketing is one of the six indicators closely related to the business operation of the "Hui page" win win plan proposed by deep drawing.

In addition, deep drawing in the "Hui page" value system also mentioned a number of related indicators of conversion rate, such as "detail page dual track system", "loading speed improvement".

The deep drawing team is committed to standardizing the visual display of the details page of the electricity supplier industry, and analyzing the logic of user online purchase behavior, so as to help businesses do fine operation in platform marketing so as to create brand image and achieve business gains and enterprise value.