1. only look at the sales is not enough, these dimensions should be considered

2. how to use big data tools to efficiently select products?

Brilliant reading:

The cross-border e-commerce business is a popular saying, "seven points rely on the selection of products, three points rely on the operation". Selection of products did not choose the right, the difficulty of later operation will also rise linearly.

Newbie sellers just entered the field, often tend to follow the simple logic of "what products sell what" to operate. However, the e-commerce platform of high sales of products is not necessarily suitable for you. All sellers are concerned about the best-selling list, unless you can find a differentiated point of demand, otherwise it will only drown in the sea of people. Doing cross-border, blindly following the trend is the first big taboo.

In addition to the product sales itself, the market for the market, groups, e-commerce platforms, logistics, profits, and even the entire product line strategy and other factors, will have a direct impact on the profitability of the seller must be integrated to do a comprehensive consideration.

Only look at the sales is not enough, these dimensions should be considered

Market group: sellers need to fully understand the cultural background of consumers in the market, lifestyle, consumer demand and habits. By browsing the sales charts of major e-commerce platforms, Google, Facebook, Instagram and other search engines/social media hot keywords or topics, to dig out the goods that meet the needs of the locals.

E-commerce platforms: Different platforms have different market positioning and rules, and the hot categories on each site are different, so sellers need to do their homework in advance. Pay attention not to choose the complexity of the audit process categories, such as medical equipment, health care, precious jewelry and other goods, in the Amazon belongs to the restricted/prohibited category, the need for sellers to provide additional supplementary proof and sales qualifications, this kind of merchandise is best not to touch the novice.

Logistics: cross-border e-commerce logistics uncertainty factors, sudden changes in weather, route adjustments, customs detention, etc., may be to the impact of the transport time, the shelf life of short, fragile, afraid of extrusion of goods, need to be carefully considered.

Profit: the first priority is to control the cost, mainly including: commodity costs, packaging costs, inventory costs, logistics costs, promotion costs, labor costs, in addition to pay attention to the hidden costs of e-commerce platforms, such as service fees, transaction commissions. On the whole, make sure there is enough difference between the cost and the selling price.

Product line planning: While choosing single products, combining the characteristics of different SKUs, scientifically arranging troops and setting up the product structure of "diversion models + explosive models + profit models", so that different types of products play different roles. The diversion paragraph, used to bring traffic to the store, to attract customers at low prices; burst paragraph, to meet the needs of the majority of customers just, cost-effective demand; profit paragraph, used to support the seller's main profit.

After locking the preferred category or product, you need to focus on:

The product's market volume, sales, repurchase frequency, the size of the competition, as well as in the major e-commerce platforms rankings, evaluation, shelves time, in the search engine/social media, keyword hotness, advertising trends, the amount of interaction and so on, so as to determine whether the product has the potential to explode.

How to use big data tools to efficiently select products?

When faced with this large amount of multi-dimensional data, big data selection tools can provide more scientific and efficient support for business decision-making. Some sellers rely too much on their own intuition, and the decisions they make are often far from the real market, which is the second major taboo of doing cross-border.

The big data selection tool, simply put, is a massive commodity library that supports multi-dimensional data screening methods, which can be used to study the data characteristics behind the explosive models. By filtering data in different dimensions, such as categories, sales, keywords, etc., you can quickly narrow down the scope until you find out the products you want.

"A thousand readers, there are a thousand Hamlets", big data selection tools have a high degree of freedom, different permutations and combinations can derive different results, all based on the seller's selection strategy.

To give two simple examples, if the seller's strategy is to push in the rising period of high potential products, filtering conditions can be set as follows: short shelf time, BSR current rankings are relatively back / is rising, high ratings / number of small, continuous growth in sales.

If sellers want to take advantage of seasonal products, rapid volume, then you can search for related product keywords, to understand the specific data characteristics, according to this condition screening. It is important to remind that, to do the cyclical products, the premise is that the seller to have sufficient market changes in anticipation, at the same time, the supply chain must also be strong enough.

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