In Amazon operations, we must learn to build a keyword database In Amazon operations, we must learn to build a keyword database

In Amazon operations, we must learn to build a keyword database

According to Amazon’s current data analysis, most buyers search for the products they want through keyword searches, so there is no need to emphasize the importance of keyword settings in a listing.

We understand the products, study the competing products on Amazon, and collect keywords through third-party platforms such as Google. We apply these keywords to titles, five-point descriptions, product descriptions, Search Terms, and advertising, striving to achieve the highest exposure and conversions.

However, many of our sellers have not seriously researched the products, let alone collected keywords to build a keyword database. However, if you want to operate a product well over the long term, building a keyword database is a must and should be done as a routine task for operators.

So how do you build a keyword database?

First of all, we need to learn to collect product keywords, and there are many channels for collection. Here are a few methods:

1. Based on the understanding of the product, the seller can write some keywords first;

2. Use the keywords written above to search in the Amazon search box. The recommended keywords in the drop-down list are also one of the sources;

3. Check the listings of similar products to see what keywords their listings contain, and collect them;

4. Collect through third-party free or paid channels such as Google Adwords;

5. You can collect through other e-commerce platforms such as eBay and Wish;

6. You can also collect the desired keywords through the early automatic advertising

In short, there are many channels to collect keywords. The key lies in whether we are willing to spend time and effort to collect them.

After collecting keywords, not every keyword is what we need, and not every keyword can bring us conversions, so we still need to screen and organize them.

In the screening process, we can operate in the following ways:

1. Take the collected keywords to the Amazon platform for secondary verification to see if the ASIN searched is the same or similar to your product. If so, then it can be retained temporarily; if the difference is huge, then it can be eliminated.

2. Screen by placing advertisements. If you find that some keywords have a large exposure but no conversion, you can choose to eliminate them. If there is no exposure at all, it can also be eliminated.

The last step is to organize the keywords. We can create an Excel table, but how to classify the keywords in the table can be sorted according to the sellers’ own habits.

For example, it can be divided into core keywords, synonyms, derivative keywords, long-tail keywords and negative keywords.

It can also be divided into keywords with high conversion rates, keywords with low conversion rates, etc.

In short, how to organize things should suit your own usage habits, and how to make it convenient to use is the most important thing.

Note: Building a keyword database is not a one-time thing, but requires long-term accumulation. From the early market research to the listing writing and optimization in the middle, to the subsequent advertising and optimization, we can collect keywords at every turn. As long as we always remember that this is a long-term and necessary thing to do, we can enrich the keyword library.

Moreover, establishing a keyword database is also a process for us to constantly familiarize ourselves with products and operations. If we operate similar products ourselves in the future, our previous accumulation can help us avoid pitfalls, spend less money, and spend less energy. Even if you leave the company you work for, these keyword lexicons and methods of building lexicons are still your own resources.