Shulou(Shulou.com)06/02 Report--

This article mainly explains "what are the selection methods of APP behavior words". Interested friends may wish to have a look. The method introduced in this paper is simple, fast and practical. Next, let the editor take you to learn "what are the ways to choose APP behavior words?"

Why should we pay attention to 'behavior words'? Let's start with a simple example. For example, the search index of the keyword 'latest game' is 6220, what is the number of downloads corresponding to this search index? Cicada master ASO analysts estimate that the number of downloads of this keyword is about 1000 per day. In other words, if we put the keyword 'latest game' in the top three, we can theoretically bring about 1000 free users to our APP every day.

In today's market background, the cost of APP enterprises to obtain users continues to rise, to do CPA a user has to 5 to 8 yuan. So, why don't we want free users? And the words of behavior also bring us the following benefits:

It should be noted here that the behavior word must be related to APP, otherwise even if this keyword is done, the users obtained are not accurate users of the product. For example, if your application is music APP, to make the word 'latest game', then there is no correlation between the keyword and the product. The consequence is that users come and go. Why? Because you can not meet the needs of users, users are looking for games, as a result, the product can only provide music services. When the product service and the user demand present two lines, the user's departure is inevitable. I would like to emphasize here that when choosing keywords, we must pay attention to 'relevance'.

What method do we use to find behavior words?

In the process of selecting keywords, I believe that we generally choose the corresponding behavior words through real-time hot search and keyword popularity rankings, and we can get relevant information with the help of some ASO tools. I myself use more cicada master ASO tools. Real-time hot search refers to the search for a keyword by a large number of users within a certain period of time, as shown in the figure:

In this hot search list, in addition to a large number of brand words, there are three other action words, they are voice chat, Weibo, movie tickets. Then we can choose the behavior words that are suitable for us according to the product attributes. In addition, when you see these three behavior words in the hot search list, do you feel anything wrong?

Yes, the key word "Weibo" seems to have a wrong word, and the correct word should be "Weibo".

Although it is a typos, this behavior word is also a valuable keyword for ASO optimizers. In our daily work, analyzing users' search habits is one of our jobs. (figure)

Since users like to search in this way, it would be nice for us to cater to them. It may be an unexpected surprise to directly use such behavior words containing wrong words in keywords. Let's take a look at the relevant cases:

From the ASO keyword of a certain APP, we can see that it sets pinyin keywords and keywords containing typos. It is hard to say how much such a setting can bring, but it is always right to cater to users. As long as users search like this, then such words are valuable words. For example, the keyword "Weibo" is also on the hot search list today, and the missed friends may be tired all over their faces.

Above we talked about selecting keywords and tips according to the hot search list, let's take a look at the hot word list. This is very simple. Just choose the same category as your own APP to query, as shown in the figure:

Since it is a list of hot words, its ranking order is also sorted by the heat value. The heat value will directly reflect the competitive intensity of the word and the difficulty of optimization. I suggest that at the initial stage, you can choose some behavior words with about 5000 to 6000 degrees of heat for optimization, and of course, if you have a budget, you can choose words with high heat.

After we have identified a keyword, we can also expand it to get more valuable keywords. This can also be used directly with tools. For example, I have identified the behavior word "card game". After the keyword expansion, the relevant keywords are:

The rest is simple, according to the results of the expansion of keywords, to determine the keywords that are suitable for us. For example, mobile games, card games, board games are valuable behavior words, in which the key word 'card game' is 8230, which is the most difficult to optimize, and the competition is also greater.

Another way is to find behavior words through competitive products, which can be explained here, just take a look at the keyword database of competitive products, and see which keywords are covered by competitive products, but we don't. Generally, I will find at least 30 competitive products for analysis.

It should be noted that competitive words may lead to complaints if they are played too much. It will not take a second to receive a warning letter from Apple at that time, so you should pay attention to it when playing with competitive words.

At this point, I believe you have a deeper understanding of "what are the selection methods of APP behavior words?" you might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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