Must-view every day - store data

Must-view every day - store data

      There are many data in the store, including: intervention rate, refund rate, product collection number, payment conversion rate, average manual response time, uv, conversion rate. Focus on observing large floating data every day, thinking about the reasons for the rise and fall, and keeping records.

      Recording daily data changes and reasons will be of great help to analyze the data later. Every data in the store must be recorded clearly. As the saying goes, "A good memory is not as good as a bad pen." No matter how simple the data is, you cannot let go.

Store data analysis:

(1) Store traffic = free traffic + paid traffic

      The methods for obtaining paid traffic include: direct trains, drilling exhibitions, large-scale marketing activity traffic, tool traffic, Taobao customers, search engine bidding, short video advertising, information flow advertising, real-person purchase reviews, etc.; there are many ways to obtain paid traffic, as long as it can bring traffic, it is a good method.

      The methods for obtaining free traffic include: keyword optimization, window recommendation, service guarantee, new product release, baby praise, store collection, main business categories, etc. The free traffic marketing promotion brought by the e-commerce platform is the best, with accurate and large traffic. The optimization of these details will affect the store's natural traffic; there are also many ways to obtain traffic off-site, and you can write various copywriting to publish on the free platform (Baijiahao, Weibo, Sohu, Toutiao, Baidu Hot Discussion, Zhihu, Baidu Experience, Xiaohongshu, Douyin, Kuaishou, QQ group, WeChat group, etc.).

(2) Store data-uv value

      UV value = sales/number of visitors, sales = number of visitors * conversion rate * unit price, so UV value = conversion rate * unit price. It is clear from the above formula that the core content that affects UV value is conversion rate and customer unit price. The higher the conversion rate and customer unit price, the higher the UV value will be.

       Why do we need to analyze the UV value? Among the same category and level products, the higher the UV value, the greater the free traffic of the store, so it must be higher than the UV value of the peers, or no less than the average value of the industry's excellent UV value, so the comprehensive ranking will be stable, and on the contrary, the traffic will be lost.

       The core that affects UV value is conversion rate and customer unit price. The higher the conversion rate and customer unit price, the higher the UV value.

(3) Store data-conversion rate

      The factors influencing conversion rate are baby details and customer flow, which requires every store seller to do both. On the one hand, a large amount of precise traffic is introduced, and the promotion traffic conversion rate is greater than that of natural search traffic. In addition, the baby details page is prepared in advance, so that the introduced traffic can not only convert the introduced traffic into the store’s customers, but also greatly enhance the store’s UV value.

(4) Store data-Collection

      Many stores have activities to collect stores and collect discount coupons for treasures. This is the most common method and a very useful method. In addition to transactions, UV value can also add points to the popularity value of single items. The more you collect and purchase, the higher the weight of single items.

      When it comes to store data, what is important is traffic, uv value, conversion rate, and collection. If you do a good job of optimizing these data, free traffic is not a problem.