Honey sellers in e-commerce all have almost unified packaging and marketing methods. How to innovate with an average of 50 yuan per pound of honey, and from which points can it be possible to successfully innovate the product and increase its value?
If you don’t have a clear understanding of the market, and relying on simple brainstorming, most innovations are trial and error. Confident planning, stumbled into a wall until it failed, what's the problem?
The first step in everything is to see the market clearly. Only by having a complete understanding of the market and knowing what kind of products have what kind of space can we provide possibilities for successful innovation. How to see the market clearly in the era of information explosion and figure out what the market needs as quickly as possible, you must be able to use the power of data. Big data can process messy information into high-quality information that can be directly utilized and applied, allowing us to understand very clearly what the market wants, and will definitely give you a new understanding of your products.
Step 1. Market basic analysis
At present, the honey market is developing rapidly in the early stages. Data shows that the initial market size of honey is 500 million to 600 million, and its development speed exceeds 90%. It can be seen that the honey industry has a lot of market space.
Step 2. Using big data to analyze the related products of honey in the market as a whole
Data analysis found that customers who buy honey also purchase products for more than 70 categories of nutritional products, beauty and skin care, snacks, health products, personal care, etc. In other words, customers in these more than 70 categories are potential consumers of honey products. According to conservative statistics, the total market turnover of these categories is at least more than 200 billion. Among them, it has the strongest connection with tea category and is most suitable for flower tea. This means there is a strong relationship between honey and flower tea, and we can enter from this point and innovate.
Step 3. The market welcomes small packaging products, and honey turns into a flower tea companion.
Data shows that small-packaged honey products have certain demand in the market. For example, when traveling, small packages of honey are more convenient to carry. Based on customer needs, small packaging is easy to be widely distributed in many merchants through related sales or buy and get free, making honey products related to various product categories, which greatly helps this type of honey to quickly open up the market.
The honey flower tea is packaged in 12g per bag, with a unit price of 3 yuan, and the price of 500g is 125 yuan. Compared with the original packaging of 500g and 50 yuan, the product premium reaches 200%. The cost of replacing honey with honey is extremely low, and the company has no risks at all, which is very feasible.
Step 4. Monitoring results
1014 pieces sold in 1.10 days
Innovations implemented after a clear understanding of the market, linking honey with flower tea and changing it into small packaging, are very popular in the market. A distributor selling herbal tea sold 1,014 pieces in 10 days, which is more than 10 times faster than the traditional sales method, and the user reviews are very high!
2. Ranking rose to sales search homepage
The keywords of the major category of honey are ranked by sales volume, and the products are ranked on the first page, driving the traffic of flagship stores to soar.
Innovate, avoid not being aware of market demand and innovating for the sake of innovation. Only by having a strong understanding of the market and innovating with a comprehensive understanding of the market can you have the possibility of success. Through the mining and analysis of big data, we have learned about the honey market and completed product analysis, product positioning, audience analysis, marketing promotion and marketing planning. These are all very constructive.
The future is an era of refined operations of enterprises. Whoever can master and utilize big data will be the first to master the market.
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