For example, if Apple's mobile phone considers its competitors according to the theory of market segment positioning, it may not find competitors that can match its "positioning". But in reality, Apple's customers overlap with those of Huawei, Xiaomi and other mobile phone brands. Looking at the brand Lakala , if you look for competitors according to market segment positioning, it may not find a matching competitor, and there are almost no competitors who can match Lakala in the field of UnionPay payment. However, its brand market share was eroded later, and its business declined, not because of competition from brands in the same category, but because of the rise of cardless payment methods such as Alipay and WeChat, new categories are eating away old ones.
Brands in emerging categories often face competitors that are not in the same category, but brands in old categories. For example, the rise of the electronic cigarette category may erode the market of traditional cigarettes. Of course, as a new category, electronic cigarettes are also expanding new market penetration rates for the entire cigarette market. Therefore, judging competitors only by market segment positioning, or only by the data that can be Bulk SMS Service observed, often makes us ignore key competitors, or miss more competitors. 02 To sum up, who is our brand competing with? How to judge our competitors? In the book HBG (Chinese name: non-traditional marketing), a method "customer coincidence degree" analysis method is provided - the purchase coincidence degree table is used to investigate the customers who purchased the A brand within a period of time, and also Buying the B brand at least once is counted as a coincidence. The following table is a purchase coincidence table without data, which can show the degree of overlap between the brand and the competitor's customers in a specific time period for the same product. 100% in the cell refers to the overlap between the brand and its own customers. Logically, it should be 100%. To purchase a coincidence form template:
There are a few things to keep in mind when using this form: Can not do too long analysis. Because long-term analysis can lead us astray, because each brand may have a high degree of overlap with other brands' customer groups. In the soft drink category, the customer base of almost all brands has a high degree of customer overlap with Coca-Cola. Nor can it be done for a short period of time. Because in a short period of time, many customers have not had time to buy a certain category of products, it may not be possible to analyze valuable customer purchase coincidence data. When using this form, the time period should be scraped long enough for most customers to discover what brands they are buying from, such as within a year. Coincidence analysis cannot be considered applicable to all time periods. It only observes a certain period of time, not an absolute standard. When we use the customer coincidence table to analyze the category, we will find the existence of "purchase coincidence law". The law of overlapping purchases: In a category, the customer bas