Compared to ZonGURU’s “niche keywords” core algorithm, OALUR’s product selection indicators are richer, which can be understood as a large collection of product selection strategies, including potential explosive product models, hot-selling explosive product models, new products against competing products, new products sold by Amazon, and hot-selling explosive products shipped by itself (caution), etc.
The operation is also relatively simple. After logging in to OALUR, the seller directly clicks on the corresponding product selection mode, and then the algorithm automatically loads and filters, and the products that meet the conditions will be listed one by one.
Let’s take a look at the specific reference ideas of several product selection models.
1. Hot-selling explosive product ideas
1) High sales, hot sales in the market, and high demand;
2) Low ratings or high negative review rates, and existing products fail to meet user needs well.
2. New products on benchmark stores
1) Determine the store to be benchmarked, such as the top seller in the category;
2) Check the new product data of the benchmark store;
3) Select similar products that can be put on the shelves based on the new products of the benchmark store.
3. New products on the official website
1) Select Amazon’s own products. The Amazon platform has all the listing data, is closer to the market, and understands customers better;
2) The shelf time should be less than 3 months, indicating that Amazon has just begun to tap the market potential of the product.
4. Ideas for potential explosive products
1) Short shelf time. Generally, it is put on the shelves less than 3 months, which means that the product is relatively new, the competition is relatively less fierce, and the QA. Evaluation accumulation is less;
2) The overall ranking is low. The ranking is greater than 10,000, but the ranking is continuously rising, indicating that it is recognized by the market;
3) The number of evaluations is small. If the number of reviews is less than 20, it means that the evaluation investment is not much and it is not difficult to catch up.
Next, we will take the idea of potential explosive products as an example to demonstrate the product selection process of OALUR. First, set the screening value of potential explosive products according to the above conditions.
Second, check the products that meet the conditions of potential explosive products and carefully compare the ranking changes of BSR.
Third, select a single product to view its specific data, including pictures, selling points, prices (whether they are within our target range), number of reviews, shelf time, and whether they are FBA delivery.
In addition, the classification categories and ranking trends in the product details data should also be paid attention to. If we want to make this product, we can refer to the product nodes of this category.
Next, we can look at the trend of Listing evaluation. Because it is a new product, there are not many reviews, but the data has increased, and we need to continue to observe.
For the situation where there are not many reviews for new products, we can refer to the TOP sellers of similar products, and we will get the feedback content of buyers’ good or bad reviews on the products, which can help us optimize and improve the products.
Finally, we can look at the keyword data. Through the traffic keywords, we can see the search volume of the core keywords of the product, and the search volume represents the market demand to a certain extent. If you really want to make this product, wouldn’t it be great if the market demand is large and stable?
If it involves multiple variants of the listing, you can also check the sales trend of each variant, the capacity of the category, etc. one by one. You can try it more.
After mastering the above product selection methods, the products selected through ZonGURU or OALUR will be entered into our product selection tracking table for observation. The table will record each product in detail according to the data indicators to facilitate later tracking.