In Amazon's brand-oriented refined operation scenario, it is always inseparable from the analysis of sales increase or decline. Why do they sometimes sell well? Why is it suddenly not selling well again? What exactly is the reason for the sales**? Many sellers hope to get answers through effective data analysis, but when it comes to data analysis, these headaches must be faced:
1. There is a lot of Amazon data, where to start combing?
2. How do you know how the recent advertising campaign has affected sales?
3. What have competing products been doing lately? Is it doing ** again?
4. There are too many products, which one should you start with? How do you calculate the complexity of the data?
These challenges are an obstacle for many sellers to conduct data analysis, and to solve these problems, effective data processing methods and analysis strategies are essential. Saihu ERP [Sales Insight] can easily solve the problems encountered by sellers in data analysis, and the comprehensive and in-depth data analysis model summarizes the full-dimensional factors that affect sales, and can accurately locate the reasons for sales fluctuations.
The category is not hot? Traffic word ranking analysis to grasp the market trend
When the operation Xiaosai was conducting new product development and testing, it was found that product A, which had a stable order, had a sales volume of 55 compared with last week44% decline, in this case, he did not rush to see if the details were not done well, whether there were bad reviews, etc., but first looked at **, through the ABA search term to see the rise and fall of the search ranking of product-related words.
Saihu ERP-Data-[Sales Insight]-Summary of Core Insights.
After analysis, Xiaosai found that some big traffic words were rising, some were falling, and there were more ABA words falling. Those words that fall may indicate that the market demand is relatively small, which will continue to affect the fluctuation of sales. At this time, Xiaosai understood that the ** demand for product A may continue to decline.
A product will correspond to multiple traffic words, and it will take a lot of time to find them one by oneSaihu ERP [Sales Insight] has helped sellers integrate the fluctuation of ABA rankings of all traffic words, which can help sellers quickly grasp the changes in market demand.
Saihu ERP-Data-[Sales Insight]-Market Analysis.
Ads drop rankings? Fluctuation contribution algorithm makes it easy to find problematic ads
Xiaosai further researched and found that the SP advertising sales of product A fell by 61% month-on-month94%, from the perspective of advertising activities, a total of 5 strategies were invested, of which the sales decline brought by the "new product A-long-tail word 1" advertising strategy accounted for 4017%, and the remaining 4 keyword ads accounted for about 10% respectively. Therefore, Xiaosai focuses on the optimization of the advertising strategy of "New Product A-Longtail Word 1".
Saihu ERP [Sales Insight] uses an exclusive algorithm to determine the contribution of advertising keywords to sales fluctuations, and help sellers easily grasp problematic advertising campaigns.
Saihu ERP-Data-[Sales Insight]-Advertising Sales Fluctuation Analysis.
Competitors grab the market? Sub-category ranking insights Identify the competitive landscape at a glance
Xiao Sai thinks that the overall ** demand for product A has declined, resulting in a decline in sales, but competing products B and C have always been competitors of product A, how are their sales situation? Is there also a decline? Has there been any change in the ranking of sub-categories?
Saihu ERP [Sales Insight] helps sellers integrate the ranking of competing products and judge the performance of competing products at a glance! Effectively identify the competitive situation!
Saihu ERP-Data-[Sales Insight]-Subcategory Ranking Insight.
More bad reviews? Aggregate product influencers Identify the reasons for the decline in conversions
After the analysis of external influencing factors, Xiaosai further analyzes the factors that affect the sales of product A itself. Why is the click-to-click conversion rate lower? Is it the quality of the product that causes the number of bad reviews to increase? Or does the product listing page have to be updated? Or are competitors doing spikes lately that we haven't done?
Saihu ERP [Sales Insight] aggregates the influencing factors of products, and quickly locates the reasons for product sales fluctuations from the perspective of review analysis, competitive product changes and first-class factors.
Saihu ERP-Data-[Sales Insight]-Analysis of Commodity Influencing Factors.
In this way, the analysis of the reasons for the lack of sales volume can be completed directly on the Saihu ERP [Sales Insight] page, which not only considers the changes in the demand side, but also considers the competition on the supply side, and the analysis results will be more comprehensive and accurate.
Through structured sales data, Saihu ERP [Sales Insight] assists operations to open up new ideas for data analysis, helps sellers quickly locate the causes or influencing factors of sales fluctuations from multiple dimensions such as market demand, advertising and product conversion, and solves the problem that the reasons for sales cannot be found from the root.