Be a standard tool for global Amazon sellers
Help worldwide Amazon sellers pick right direction, running business efficiently and grabbing traffics.
Integrity, innovation, speed, equality
The global e-commerce dream of a group of young minds
Let sellers better avoid risks, lower costs, shorten investment cycle, and rapidly receiving profit.
About Us
Sorftime, a sub-brand of FilTime, is a global online data solution provider, is committed to providing global Amazon sellers with objective data from various Amazon marketplaces to improve the efficiency of the whole Amazon marketplace's data collection, statistics, sorting and analysis.
Only by comparison can we find a more suitable one!
Sorftime advocates paying more attention to the market rules and characteristics reflected by the data formed by consumer behaviours and habits, from which we can quickly compare the differences between various markets so that sellers can filter out the market that suits their conditions and goals more quickly, rather than focusing on certain top-selling products.
Sales are not equal to profits!
Sorftime guides sellers to no longer blindly do "addition," but first understand the importance of choosing the right direction and obtaining profits. This will help sellers make better decisions to avoid risks, reduce costs, and shorten the investment cycle, resulting in higher and faster investment returns.
Development
Main Features
Sorftime is committed to providing global Amazon sellers with objective data on the 14 major Amazon sites around the world. The data is updated in real time within 6-8 hours to improve the efficiency of data collection, statistics, sorting, analysis and decision-making for the entire Amazon seller group market research.
The industry's first competitive product research methodology of Sorftime. It is proposed that we should select those categories that can quickly stand out in the same category of market products under their own operational capabilities and can be ranked stably.
Put forward the basis for evaluating the market by small and medium sellers: the TOP100 market of the category involved is not monopolistic, there are no big brands, big sellers, the average number of reviews is low, and the products on the shelves within 6 months have a certain market share.
1. Organize and present twelve graphical reports through intelligent big data to reveal the competitive environment of the category market.
2. Whether there is a monopoly on sales of products, sellers, and brands.
3. The relationship between the shelf time distribution and sales of category top100 products.
4. The relationship between the distribution of pricing in the category market and the proportion of category market sales, the relationship between the number of reviews, review ratings, seller attributes, delivery methods, A+, video proportions and the proportion of category market sales.
It is the first to create a comprehensive sorting and selection strategy for all categories, and it supports 80+ dimensional sorting. For example, sorting to find the category with the largest monthly sales or finding a niche market, finding a market with a high proportion of average reviews below 200, a market with a high proportion of new products, a market with a low proportion of sales monopoly, etc. Sellers can choose different dimensional rankings according to their own strengths to find a category market with a suitable competitive environment.
After judging through the competitive environment that it meets operation requirements, you can also use Sorftime for operations:
1. You can discover high-frequency keywords in categories, high-frequency keywords that appear in the Q&A and reviews of competing products. These keywords objectively reflect all aspects of customer needs or complaints. Use these aspects to adjust the title to optimize search accuracy, improve Listing, and build products. Doing these well can effectively reduce the order decision cycle and increase the conversion rate.
2. Sorftime industry's first operation calculator. It integrates basic functions such as head freight, FBA fee, Amazon rate calculation, etc., and supports keyword suggestion bidding and CPC advertising bidding to calculate the product's comprehensive profitability. This allows sellers to gain insight into the profitability of the operation promotion period and stable sales period during the "seeking" stage, so as to properly prepare funds and distribute goods.