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Are you tired of the smelly way of purchasing fresh and frozen products in the market ? Today, I want to share with you a dazzling new model that will completely change our consumption concept and bring huge opportunities to the fresh and frozen products industry.
1. The rise of value-added consumption model .
Over the past few years, we have witnessed the sharing economy boom. From shared bikes to shared cars, this new economic model is changing the way we live. Now, a new e-commerce model called "consumption value-added" is emerging, and it may become the next force to subvert the traditional business model.
The core of the consumption value-added model is that when consumers purchase goods, they can not only enjoy the value of the goods, but also obtain additional benefits. This model has huge potential in the fresh and frozen products industry. Imagine that when you buy seafood, meat or other frozen products, you can not only ensure the freshness and quality of the ingredients, but also get additional rewards for your consumption behavior. Such a model will greatly stimulate consumers' desire to buy and bring new growth points to the fresh and frozen products industry.
2. The magic of green points .
In the consumption value-added model, green points play a vital role. Whenever you purchase fresh and frozen products, the platform will mint green points for you based on a certain proportion of the consumption amount. These points not only represent your consumption rights, but are also a certificate for you to obtain additional benefits. You can use these points to redeem the goods or services you want, or even convert them into cash.
What’s even more exciting is that the value of these points will increase as sales on the platform grow. This means that users who participate in consumption earlier will get more benefits. This mechanism will make consumers more willing to purchase on the platform, thereby promoting sales growth in the fresh and frozen products industry.
3. The algorithm of value-added consumption: make every penny spent more valuable .
The algorithm of the consumption value-added model is exquisitely designed to make every penny spent by consumers more valuable. Specifically, when you purchase fresh and frozen products on the platform, the platform will cast green points for you based on a certain proportion of the consumption amount. This ratio is usually that for every 100 yuan spent, you can get 10 yuan as a green point reward. At the same time, the platform will also put 30% of the profit of each order into the dividend pool to increase the value of points.
As sales increase, the funds in the dividend pool will continue to increase, thereby promoting the appreciation of points. Assume that the dividend pool fund is 1,000 yuan, the total number of points is 1,000, and the value of each point is 1 yuan. When a new consumer makes a purchase, the platform will add 30% of the profit to the dividend pool as dividends. Assume that the profit of each order is 100 yuan, and after 30 yuan enters the dividend pool, the funds in the dividend pool increase to 1,300 yuan. At this time, the value of each point increases accordingly to 1.3 yuan.
In addition, every time points are withdrawn, the platform will deduct 20% of the handling fee, and this part of the fee will also flow back to the dividend pool. This design ensures the scarcity and value-added potential of points. At the same time, in order to ensure the stable growth of the value of points, the platform will also make dynamic adjustments based on market conditions and consumer needs.
4. How to achieve sustainable growth .
In order to ensure the sustainable growth of the consumption value-added model, the platform needs to adopt a series of strategies. First of all, the platform should ensure the provision of high-quality fresh and frozen products to meet the needs of consumers. At the same time, the platform can attract new users and maintain user loyalty by launching various promotions and point reward programs. In addition, establishing good cooperative relationships with suppliers is also key to ensure stable supply and product quality.
To increase user engagement and increase sales, platforms can introduce social elements. Users can share their purchasing experiences and points rewards earned to attract more people to join the platform. In addition, by cooperating with well-known chefs or recipe creators to launch exclusive ingredient matching plans or gourmet courses, user stickiness and participation can be further enhanced.
5. Conclusion .
The charm of the consumption value-added model is that it breaks traditional business boundaries and closely connects consumers, merchants and platforms. Consumers gain tangible benefits through consumption, merchants’ products are better promoted and sold, and platforms achieve rapid development by integrating resources and services. This win-win situation is the core concept of the consumption value-added model.
Of course, in order to achieve sustainable growth, the platform needs to continue to innovate and improve. From improving product quality, optimizing user experience, strengthening supply chain management to expanding business scope, every link needs to be carefully crafted. Only in this way can we ensure our invincibility in the highly competitive market.
Finally, I would like to emphasize that the development of the fresh and frozen products industry cannot be separated from the joint efforts of every participant. Whether we are merchants, platforms or consumers, we have the responsibility and obligation to promote the progress of the industry. Let us go hand in hand, embrace change, and create a bright future for the fresh and frozen products industry!
The above is the new thinking on how consumption value-added can be embedded into breakthrough scenarios in the frozen products industry.
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Ah Hao only develops Internet software and will not participate in any operational projects. The above data is a business model and data analyzed through public information on the Internet, and it does not assume any responsibility for the authenticity of the data.
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