What is Oalur? Oalur Review, Features

Oulu Big Data, relying on a powerful information database of more than 15 million, is jointly provided by artificial intelligence experts and algorithm engineers to provide cross-border enterprises with personalized, customized Amazon product selection and operation experience, improve sellers' operating efficiency and continuously achieve breakthroughs in sales growth.

About Oulu

Oulu is a professional data analysis tool created for China's cross-border e-commerce. It is dedicated to the ultimate exploration of data and sees through the consumer gaps and business opportunities under Amazon's 5 million products on sale. Since its launch, it has not only achieved full coverage of cross-border e-commerce product selection and operation needs, but also achieved global top-level standards in each function. In this rapidly developing industry, it provides users with the opportunity to race against time and get ahead.

Introduction to Oulu Big Data Service

How can new sellers avoid the red ocean competition:

1. Overview of Amazon's 27 major categories, 21+ screening conditions, and quickly discover blue ocean subcategories;

2. Conduct a competition analysis on the selected category to check what conditions are required to enter the top 100 in the category, whether it is monopolized by Amazon brands or Amazon’s own operations, and seek benefits and avoid disadvantages;

3. After determining the category, use the basic information of the category to gain insight into industry development and peak and off-season trends, and roughly assess the future development of the category.

How new sellers can transform into cross-border veterans:

1. Conduct a comprehensive analysis of product categories, determine the most popular price range for products, and set reasonable product prices to ensure profits;

2. Perform real-time feature analysis on selected products, quickly gain insights into the rules of the selected product set, and differentiate them;

3. Determine the best-selling variants (styles) of the product through variant comparison and clarify the stocking ratio;

4. Use traffic keywords to accurately locate products, analyze opportunity index and make selections to avoid red ocean competition;

5. Check the hot-selling products in a certain period of history and prepare product selection in advance before the peak season.

How to quickly deploy products in the investment phase:

1. Determine your delivery cycle and inventory quantity based on the development trend of the category and the trend of the off-season and peak-season;

2. Check the BSR life cycle and sales trends of competitors’ small hits to determine the operating methods for the corresponding period.

How fast-growing products establish competitive advantages:

1. Conduct correlation analysis on products, study the relationship between price and BSR ranking, and find out the approximate correlation;

2. Check product keywords and adjust your keyword settings and advertising bidding.

Mature and stable products are experiencing explosive growth again

1. View all historical operations of competitors in the panoramic dynamics, quickly identify the real reasons for sales, and improve operational methods

2. Dynamically compare the operations of your own products with those of multiple popular competing products, analyze different operational actions in the same time period, check the differences in results between yourself and your competitors due to different operational strategies, and adjust your competitive posture in a timely manner.

price

Professional data analysis tools that are standard for industry-leading sellers. Register to receive 7 days of free full-featured access

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Product selection function

1. The top 100,000 BSR products in the first-level category are updated daily. This is real big data product selection, which is large and timely.

2. Support all categories available for sale by third-party sellers on Amazon, up to 8 levels deep, with 17,000+ bottom-level categories for users to choose from.

3. Provide 30+ screening conditions from five product selection angles: category, keyword, brand, store, and functional features.

4. Select commonly used product selection modes, which can be used even if you don’t know how to select products.

5. Provide BSR rankings and trends of products in different industries to help reasonably allocate industry nodes.

6. Simple and fast real-time comprehensive analysis helps users quickly understand the rules of the selected product set.

7. Store/brand competitiveness analysis to improve product selection efficiency for users.

Operational functions

1. Full-process visualization solution to meet the needs of different scenarios.

Quickly identify the real reason for abnormal sales volume/BSR;

· Learn the operating methods of industry stars that sell well;

Compare the results of your product with those of your competitors due to different operating methods.

2. The world's first all-in-one mode, with deep integration of multiple monitoring functions, eliminating the need to frequently switch between different tools/functions.