第一种:常见定价法
这种方法又分两种:成本定价法与咬紧对手法。
成本定价法的计算方式为成本+利润,如卖家卖水杯,进货价15,打算每笔赚5块,故定价20元卖。这种方法优点是能保证卖家每笔都能赚到钱,缺点是不区分用户,对所有用户统一售价,不能保证预估的销量是否好。如对手降价,我们仍保持此价,影响销量,即不能对市场反应做出及时调整。
咬紧对手法的定价思路是紧跟对手出价,不能保证预估的销量是否好。如对手降价,我们仍保降价,疲于应付,以亏本的姿态做销量。其优点为紧跟对方,不让其抢占份额,缺点是对方有可能综合成本比我们低,故卖低价能赚钱,而我们成本比他们高,紧跟价格,易亏损,坚持不能长久。
第二种:公式定价法
卖家为产品定价时,通常需要考虑进货价、国内、国际运费、费、利润=成本*利润率、平台(额5% , 8%)、活动折扣、联盟佣金提现手续费、成本这些因素。计算公式:价格=成本//(1-类目佣金) /(1-联盟佣金)/打折数/(1-利润率)。
第三种:活动定价法
这里的活动是指平台活动。卖家可对产品所在行业的主要平台活动多多观察,了解热门的平台活动中同类产品的价格、折扣,同时在卖家后台详细了解平台活动在价格、折扣方面的具体要求,在考虑我们的成本基础上,可适当结合这些因素为产品定价。
第四种:区域国家定价
速卖通面向全球用户,我们在为产品定价时需要考虑这点。并不是说每个国家我们都要考虑到,一是不现实二是做不到。卖家可以认真的结合"数据纵横"下"国家市场"这个工具分析下产品所在的行业,其主要的流量贡献国家和销量国家,这些国家的用户其实就是我们要考虑的主要群体。这类重点国家,我们通过对国家,可以了解当地用户购买力情况,在结合产品成本的基础上,对出价的考量及折扣设置做到更好。
第五种:市场定价法
此种定价方法需要借助于平台搜索结果中展示的区间价格,前面几种定价方式相对来讲都是基础的定价,最后这一种定价方式就是你拉开同行商家的关键点了,后台价格筛选项中我们可以看搜索此词的已购买用户中不同价位下的用户群比例进行分析,这类操作相对比较复杂技巧也比较多
The first one: common pricing method
This method is divided into two types: cost pricing method and bite the opponent method.
The cost pricing method is calculated as cost + profit. For example, if a seller sells a water cup, the purchase price is 15 yuan, and he intends to make 5 yuan per transaction, so he sells it at 20 yuan. The advantage of this method is that it can ensure that the seller can make money on every transaction. The disadvantage is that it does not distinguish between users and has a unified price for all users, which cannot guarantee whether the estimated sales volume is good. If the opponent reduces the price, we still maintain this price, which affects sales, that is, we cannot make timely adjustments to market reactions.
The pricing idea of the bite the opponent method is to follow the opponent's bid closely, which cannot guarantee whether the estimated sales volume is good. If the opponent reduces the price, we still maintain the price reduction, exhausted to cope with it, and sell at a loss. Its advantage is to follow the opponent closely and prevent it from grabbing market share. The disadvantage is that the opponent may have a lower comprehensive cost than us, so selling at a low price can make money, but our cost is higher than theirs. Following the price closely, it is easy to lose money, and persistence cannot last long.
Second: Formula Pricing
When sellers price their products, they usually need to consider factors such as purchase price, domestic and international shipping costs, fees, profit = cost * profit margin, platform (5%, 8%), activity discounts, alliance commission withdrawal fees, and cost. Calculation formula: price = cost//(1-category commission)/(1-alliance commission)/discount number/(1-profit margin).
Third: Activity Pricing
The activity here refers to platform activities. Sellers can observe the main platform activities in the industry where the product is located, understand the prices and discounts of similar products in popular platform activities, and understand the specific requirements of platform activities in terms of price and discount in the seller's backend. On the basis of considering our costs, these factors can be appropriately combined to price the product.
Fourth: Regional Country Pricing
AliExpress is aimed at global users, and we need to consider this when pricing our products. It does not mean that we have to consider every country. First, it is unrealistic and second, it is impossible. Sellers can carefully use the tool "National Market" under "Data Horizon" to analyze the industry in which the product is located, its main traffic contribution countries and sales countries. The users in these countries are actually the main groups we need to consider. For such key countries, we can understand the purchasing power of local users through the countries, and on the basis of combining the product cost, we can do a better job in bidding considerations and discount settings.
Fifth: Market Pricing Method
This pricing method requires the use of the price range displayed in the platform search results. The previous pricing methods are relatively basic pricing. The last pricing method is the key point for you to distance yourself from your peers. In the background price filter, we can analyze the proportion of user groups at different price points among the users who have purchased and searched for this term. This type of operation is relatively complex and requires more skills.