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
Download for your operating system
You will receive a registration code for using trial version or purchasing the full version, this code will be binded to a computer
Softime Price
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| Category | All marketplaces/Main account | Add sub-account |
| Yearly Subscription | $ 799/ sub-accounts | $ 499/ sub-accounts(limited to 10 sub-accounts) |
| One-time purchase | $ 1,999/ sub-accounts | $ 1,099/ sub-accounts(limited to 2 sub-accounts) |