How to use Lazada data analysis function to improve store operation efficiency
Lazada data analysis is a crucial part of today’s e-commerce era. As one of the largest e-commerce platforms in Southeast Asia, Lazada has massive user and transaction data. For sellers and brand owners, in-depth analysis of this data will bring huge business opportunities and competitive advantages. This article will introduce how to use Lazada’s data analysis function to help merchants make better use of this tool.
The importance of Lazada data analysis
As competition in the e-commerce industry intensifies, sellers and brand owners need more effective ways to attract and retain consumers and provide personalized shopping experiences. Lazada data analysis allows them to gain in-depth understanding of user behavior, purchasing preferences and market trends, allowing them to develop more precise marketing strategies and product promotion plans. In addition, Lazada data analysis can also help sellers monitor product sales, adjust inventory and pricing in a timely manner, and discover potential market opportunities.
How to use Lazada data analysis function?
Overview
In the Lazada merchant backend, click “Analytics” and select “Analytics Portal” to enter the data analysis page. In the overview, you can view your store’s overall performance and key metric data.
My data panel
In “Analytics Portal”, enter “My Dashboard” to view the store’s overall performance and main indicator data. Data can be filtered and compared by selecting metrics such as different dates, brands, categories, and languages. The main indicator data includes total sales, order volume, percentage of out-of-stock SKUs, percentage of competitive SKUs, page views, conversion rate, number of product shipments, proportion of products scanned by the sorting center within 7 days, number of order cancellations and returns, etc. .
My important data
On the “My Dashboard” page, there is a column called “My Highlights”, which displays data that merchants need to focus on and take action. These include hot-selling products, hot-selling products that are out of stock or soon to be out of stock, slow-selling products, and products with uncompetitive prices.
My SKU
In the “Analytics Portal”, select “My SKUs” and merchants can get more details and list data. In addition to the four data mentioned above, it also includes SKUs with long shipping times, SKUs with high cancellation rates, SKUs with high return rates, and SKUs that have been added to the wish list the most times. Merchants can export this data for further analysis and internal reporting.
My best-selling brands/categories
In “Analytics Portal”, select “My Top Brands/Categories”, merchants can view the best-selling brand and category data. With this data, merchants can analyze the proportion of sales, sales volume, and page views among different brands and categories.
Conclusion
To sum up, using Lazada’s data analysis function can help merchants gain an in-depth understanding of the overall performance of the store, focus on areas that need improvement, and drill down to SKU-level data to gain valuable business insights. Merchants need to actively use this function to continuously analyze and monitor data in order to make accurate decisions and optimize business strategies, thereby improving sales performance and providing a better shopping experience. Through Lazada data analysis, sellers and brand owners can discover more insights and business opportunities, providing continuous power and direction for business growth.