We can click “My Data” – “Dashboard” – “Product Ranking” – “More”, select the corresponding option, and export the data of each specific product for analysis.
The data at each stage are closely related, and the data at each stage will affect the final profitability.
The first stage: visit stage
Number of visitors: The total number of visitors who browsed the product details page through PC and mobile terminals during the selected time period. Multiple visits by the same buyer are counted as 1 visitor. The more visitors you have, the more likely you are to close a sale. The main factors that attract visitors to a product are the title and main image. In addition to daily optimization, we can also place keyword ads to increase the number of visitors.
Number of page views: The total number of times buyers viewed this product during the selected time period. For example, if the same buyer views the same product 5 times, the number of page views will increase by 5 times. If buyers have more views, it proves that our products are more attractive and the titles and main images are more competitive in the same category.
Bounce rate: The probability that a buyer who visits the store only views one product page and then leaves the store without continuing to browse or click on any content is equal to the total number of visitors who immediately leave the store without any click behavior after visiting the page. Number of visitors. If the bounce rate of the store is high, we need to consider whether other images besides the main image need to be improved, whether the product details page needs to be optimized, whether the product package discounts and coupon settings are attractive, and whether the related marketing strategy needs to be improved.
Number of likes: The number of times the product has been liked during the selected time period. The more likes, the more interested the buyer is in the product. This kind of product has the potential to become a hit, so it can be focused on and optimized.
Second stage: Add to shopping cart stage
Number of visitors (add to shopping cart): The total number of visitors who have added at least one item to the shopping cart during the selected time period .
Number of items: The total number of items added to the shopping cart during the selected time period. The higher the number of items, the more buyers want to buy this item, and we need to study how to convert the items in the shopping cart into orders. At this time, the most important factor affecting buyers’ purchase is price. Therefore, we can regularly check the ranking of the total number of items added to the shopping cart and do some price promotions for the top-ranked items. We can set up price promotions on the “My Discount Activities” and “Package Offers” pages to stimulate buyers to purchase.
Conversion rate (add to shopping cart): Within the selected time period, the ratio of the total number of visitors who added products to the shopping cart to the total number of product views. The higher the conversion rate, it proves that the store’s products are more in line with the buyer’s purchasing psychology.
The third stage: Order placed stage
At this stage, we need to pay attention to buyers who have placed orders but canceled or failed to pay. We can communicate with buyers through “Chat” to understand the reasons for cancellation and try to get them to place new orders.
The fourth stage: paid order stage
At this stage, we need to pay attention to buyer feedback and strive to get buyers to leave pictures for evaluation. If there are three-star or lower reviews, we can communicate with buyers by promising partial refunds, discounts on next purchases, and giving gifts to ask them to change their negative reviews.
For products where buyers place a large number of orders, we must promptly communicate with suppliers about the inventory status of the products and consider stocking up in batches to shorten the stocking time and reduce the purchase cost of the products.
As long as we pay attention to the above four stages, operations will have goals, and the improvement of data at each stage can bring more sales.