Sorftime software
Product research tool
Sorftime is a big data analytic tool. It helps guides sellers to invest less and quickly stabilize ranking to acquire profits.
Trial version Free download and install Video Usage Tutorial
Product Research Based on Discovery
All Categories Sorted Product Research
Sorftime uses big data, integrates all category data of Amazon, and uses the sorting method for quick comparison. This helps sellers find "the most suited" product to sell quickly and to improve the chance of profitability.
Use data pattern to find products
Find a Trending Category
Sorftime is based on actual category sales years of historical data, combined with an exclusive algorithm to present you a list of sales growth product ranking from high to low in any month of the next year. After discovering the category market and the time period of its hot trend, we can plan the production schedule, build the listings, and prepare funds for promotion to seize traffic.
Best selling product research
Determine Product Research Direction From All Categories' Best Sellers
Use the Sorftime product board to compare all the best-selling products in Amazon's entire category, generate sorted representative data for comparison. Then find out which new and unfamiliar products have entered the top 100 rankings. Digging deeper into this type of analysis may discover more potential markets.
Quick View Amazon Best Sellers
The tree structure perfectly corresponds to the Amazon Best Sellers. Quickly view the entire category structure. Click on a category to get any category data without jumping to the Amazon site
Discovery is the prerequisite for product research
Sorting is the prerequisite for product research
12 Types of Data Reports Depicting the Whole Market
Analyzing the Amazon market competition environment is a compulsory course for every seller. Sorftime quickly generates market environment data analysis reports based on big data and intelligent algorithms.
Through these reports, you can quickly understand the market, whether big sellers or big brands monopoly. Core elements, including the number of reviews, star ratings, competitive product pricing strategies, and category keywords, can be combined to work out a profitable operating method.
Operate & Optimize Listing Based On Data Report
To do better than other competing products in the same category, we can dig deeper into the areas where the most customer feedback are, the needs that are mentioned the most, and the most satisfied or dissatisfied.
Targeted optimization, step by step, to stand out from the crowd.
Infer the sales target to be achieved
Through the [Sales Distribution] chart, we can intuitively distinguish whether there is a monopoly of product sales. If there is no strong monopoly, we can choose a ranking position as the sales target during the promotion period because to obtain the Amazon traffics close to the target position, and the sales volume needs to reach such a value. The choice of this position is determined by one's own ability, judging the cost of distributing goods, the success of the promotion, and the cost of a product review.
Estimate the number of reviews to be reached
Through the [Review Number Distribution] chart, we can see the relationship between the number of reviews and sales. Here we can see the number of reviews that needs to be achieved in order to obtain traffics similar to that of competing products. Usually, if most of the competing products have 1000+ reviews, entering this kind of marketing will have a huge cost. Small and medium sellers must evaluate before they enter. Conversely, if more products with comments less than 200 can also get good sales, such promotion costs are more controllable, and small and medium sellers can try to venture into the market.
Choose a competing product as a blueprint and use Sorftime's exclusive calculator to test
The purpose here is to measure the profitability (or investment) of the product in various periods.
For example, we can test run promotion costs. You can look for competing products that are still in the promotion period within three months as a guide, using their pricing, sales and other data as the basis, and setting the advertising sales ratio, advertising expected conversion rate, and advertising expected average price per click in the calculator with more conservative values to test run the promotion cost. If 100% of sales come from advertising sales, the conversion rate is only 10% and the average.
Similarly, to test the profit of stable sales, you can choose a competitive product that has entered a stable sales period as a guide, use the same method to test, and adjust the advertising numerical parameters to measure the profitability in various situations.
View high-frequency keywords of competing products, use the Sorftime keyword tool to view recommended bidding price.
Use the Sorftime selling point mining to collect category market data. You can quickly find out which keywords used by the products in this category are high-frequency keywords.
These high-frequency keywords deliberately or unintentionally reflect the way people describe this type of product and the vocabulary used when searching.
Use Sorftime's exclusive advertising keyword inquiry tool to find these high-frequency keywords that are more cost-effective.
View high-frequency keywords in competitors' Q&A and reviews.
Choosing competitors' products as a mining target, we can use Softime's selling point mining tool's key product features, Q&A and review mining feature to discover the high-frequency keywords used in the key product features descriptions.
As well as the high-frequency keywords in its Q&A and comment areas, these keywords objectively reflect all aspects of consumer demand or satisfaction. Finding cost-effective keywords from these aspects is also a good choice.
Finding fulfillment method and A+, video enhancement.
If there are many products on the market that have achieved good sales using FBM, we can also operate in this way because FBM means that we can have a smaller distribution cost and adopt a more flexible overseas warehouse operation model.
If most products in the category market have made A+ description or video, it reflects that these merchants are mostly bigger sellers. On the other hand, it also reflects the customer's preference. If all competing products have A+ or video, we must have it if we enter.
Use customers' most concerned questions in competitors' product Q&A and comment area to create a listing
Choosing competitors' products as a mining target, we can use Softime's selling point mining tool's key product features, Q&A and review mining feature to discover the high-frequency keywords used in the key product features descriptions.
As well as the high-frequency keywords in its Q&A and comment areas, these keywords objectively reflect all aspects of consumer demand or satisfaction.
Utilizing all these aspects as the basis, we can make our product stand out from the similar competition. We can also adjust the key product feature descriptions to strike the consumer needs, making our product conversion rate better than the competition and quickly stand out from similar products.
Software Supports 12 Amazon Marketplaces
United States
Japan
United Kindom
Germany
France
India
Canada
Spain
Italy
Mexico
Middle East
Australia
Sorftime
Sort + Filter + Time
Amazon seller product finding software
Asins
Software update daily
Big data
represents true Amazon Market
Paid Customer
Using Softime for Amazon
Seller Summits
Affecting 300k+ Amazon sellers product finding techniques
Sorftime Customer Reviews
工欲善其事 必先利其器！产品为王的时代，我们寻找各品类爆款，但是一切不以数据为依据的选品都是耍流氓！亿丰电商学院的选品原则一切以数据为依据，结合四象限选品：竞争力、市场容量、利润空间、生命周期！产品细分项目高达72项！当我接触了sorftime时，我觉得这个软件完美的融合了我们的选品规则，但是佩服的是sorftime用全维度的数据，节省了我们调查各项数据的时间，将庞大数据整理的工作瞬间以图表的方式展现，强大到无以复加，更重要的是数据的准确度达到99%以上！希望sorftime数据越来越细致，和亿丰电商学院一起帮助更多卖家成长！
亿丰电商学院
董事长 Danieldong亚马逊发展到今天，你会发现受市场格局变化的影响，很多品类的爆款赚不了钱或者投资回报不成比例。两年前我们开始做不同市场的数据对比分析，目的是找到需求不大、别人看不起但能赚钱的品类，但人工处理大数据效率极低，而且误差较大，感谢Sorftime让我们的运营思路高效落地。18年底，我们在Sorftime上对亚马逊1万多个小类进行新品占比系数排序，结合新产品平均星级分析，快速筛选出一个品类，上架后虽然销量不大，但每一个订单利润稳定。
三头六臂电商联盟
联盟会长SKYSorftime made product selection way easier and effective for me. There’s nothing out there that visualizes the bestseller information and enables me to make calculates decisions on a sub category level up to 7 levels deep. That’s impressive!——Cedric WilmansFounder of America-based Seller
美国卖家联盟
创始人 Cedric Wilmans市场调研时所需要的数据非常全面。我们在使用的过程中，有做了类目与类目之前的比较，快速的判断市场之间的差异，也对核心关键词所处的平台竞争环境进行分析，最后核算投入时，Sorftime辅助我们更好的了解费用的组成以及风险所在；可以说在选品的时候，Sorftime整个逻辑是非常清晰的。
勾勾手（Gogoso）
创始人/CEO 斛辉Sorftime是一款注入卖家选品经验的软件，选品的逻辑和纬度也是成熟选品专家的选品思路，这是一款有“灵魂”的软件，而通过互联网和大数据，极大地提升了卖家的市场调研和选品效率，MoonSees期待Sorftime不断创造奇迹，为卖家谋福利!
MoonSees
CEO/总教官 林鹏翔江苏省电商协会跨境专委会作为江苏跨境电商行业的推动者，我们一直在困惑如何通过数据让江苏传统外贸企业更加了解海外零售市场，从而驱动传统企业实现成功转型。很幸运的是我们遇到了Sorftime亚马逊数据综合解决方案，它将大量的亚马逊平台数据进行收集整理，通过逻辑实现了趋势数字模型的有效输出，为企业的转型决策提供了依据和动力。
江苏省电商协会跨境电商专委会
赵秘书长雷友汇与Sorftime相识于2018年9月份，经过半年多的深入跟踪使用，我们认为Sorftime能够全方位为跨境电商卖家从各个维度去考虑亚马逊选品所隐藏的潜在风险。同时Sorftime就像一本词典，可以直观的告诉我们有哪些潜在的蓝海品类，如何针对自己的优势去选择合适的产品品类。Sorftime不但帮助卖家对产品的趋势做出判断，也对利润的平衡做出了指导。成功的选品，是成功开展跨境业务的基石。我们的确都需要这么一本“新华词典”。
雷友汇
会长 Sophia小贝壳SHELL BOX/红辣椒是一家从事专业防水手机壳研发和生产的企业，同时工厂也在不断探索其他产品线的开拓，每一款产品我们都坚持不走寻常路，旨在为跨境电商团队提供最有竞争力的产品，目前由我们开发的爆款产品已经遍布亚马逊平台。由于和Tim是合作伙伴，在接到Sorftime的使用推荐时，双方的沟通效率比较高。使用后，我们很惊奇的发现在Sorftime上能迅速发现我们正在研究、准备投入开发的品类，同时也有一大堆我们没见过但能做的产品进入我们的视线。神器，当之无愧！
亚马逊防水手机壳品类最大生产商
小贝壳SHELL BOX/红辣椒 创始人 邓总10倍增长的本质并不是简单的销售额的增长，更是竞争力从单一竞争纬度向多维度竞争的思维体系和方法论。今天跨境卖家所遇到的困局，源于跨境电商以价格为主的单一竞争模式，未来的竞争必定是多维度的竞争。Sorftime将我们过去选品的效率直接提升三倍以上，帮助我们极大地优化了运营效率，是我们打造企业多维竞争力的有力武器。
Trademap
Trademap CEO JamesThis is smart and the best product research tool I’ve used! Can easily help to find niche product in several clicks. Highly recommend!
美国亚马逊卖家
Koth Azza自2018年10月投入使用以来，Sorftime一直帮助工厂了解本品类在亚马逊销量分布的实时变化动态，对研发部门研究、跟踪亚马逊前台同类新品的进展情况起到非常大的效率提升，让产品开发人员能够直观高效的了解和总结竞品的差异化和新奇特，真正帮助到我们新品的精准开发。同时，Sorftime对业务部门的效率和能力提升也起到非常大的作用，销售人员与客户交流产品，不再凭借工厂的出厂数据和直觉，而是根据亚马逊前台市场环境，帮助客户精确选款和定位定价。
亚马逊香薰机品类最大生产商
深圳帝拓 唐总Judy我们没有做amazon。我们除了运营多个独立站铺货自发货，更多运营ebay和Wish这两个平台。之所以接触Sorftime，是在一次线下综合分享大会听到Tim的演讲，Sorftime整个理论体系是我们认可的，而且我们认为在整个北美地区对于绝大多数行业来说，amazon的品类覆盖是最全的，amazon平台数据具有“风向标”的参考作用。软件中的数据看板功能能让我们看到每个行业到底有哪些产品，增加哪类产品的SKU对于我们来说自然出单机会更大，总之，Sorftime帮助我们更加全面的看到了北美地区在售的产品种类以及amazon的竞争现状，实现了更快、更有针对性拓展品类的可能。
独立站卖家
龚总我们团队在深圳，是18年9月23日成立的。18年10月我们听了Tim老师的《选品革命》。因为我是学国际贸易的，也学过一些市场营销的理论，所以感觉老师讲的逻辑和对亚马逊的分析有道理。由于团队比较小，经不起踩坑的折腾，抱着试一试的心态购买了一套Sorftime。到目前为止，我们根据排序功能，选出了3个品类和8款产品，虽然销量不高，但和工具里计算器测算的一样，我们从上线开始没有亏钱，目前流量逐渐稳定，没有像身边的同行和朋友那样做亚马逊做得焦头烂额，天天烦着清货。感谢Tim老师和Sorftime团队在前期为我们做的市场分析和耐心的讲解，真心感谢你们！
亚马逊卖家
ElvinLove Sorftime. Really good to help filter down to some categories ideas. I’ve checked Monthly Sales, maximum difference within 10-15%. I recommend Softime to anyone that asks and will continue to do so.
美国亚马逊卖家
Marsha LarsenDownload for your operating system
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