What Are the Different Types of Keyword Tool?

Keyword Tool (KT for short) is a powerful assistant that provides customers with selectable keywords according to their various needs, thereby better positioning potential customers.

Baidu Keyword Tool

Keyword Tool (KT for short) is a powerful assistant that provides customers with selectable keywords according to their various needs, thereby better positioning potential customers.

It's like a useful fishing net, helping customers salvage the keywords of the right customers from a vast sea of words.

Chinese name

Keyword Tool

Foreign name

Keyword Tool

English abbreviations

KT

Function

Keywords to help customers find the right customers

Keyword Tool (KT for short) is a powerful assistant that provides customers with selectable keywords according to their various needs, thereby better positioning potential customers.

It's like a useful fishing net, helping customers salvage the keywords of the right customers from a vast sea of words.

Recommended keywords

According to your business type and different needs, recommend the most relevant keywords.

Submit keywords in bulk

You can directly submit the recommended words as keywords in batches, and set their matching modes (accurate, phrase, broad) in batches, greatly saving your time and energy.

Imitate and learn your preferences

You rate the recommended words (click the thumb or trash can), the machine can learn its preferences, and can recommend more favorable words in the future.

Advanced Search

Provide "negative keywords", select regional expansion words, and view the "months with the highest search volume" data to filter the recommended keywords to see what you want to see.

Many: Can expand a lot of new words.

Different people search different words. Even the same person searches at different stages. Therefore, it is necessary to mention more keywords to reach more potential customers. On the basis of multiple mentions, you can segment the promotion direction and further improve the coverage of the business. It is not difficult to expand one word to ten words and ten words to a hundred words. But if you already have tens of thousands of words in your account, expanding them becomes difficult. Keyword recommendation tool can recommend a lot of new words that are different from the existing words in the account

Fast: Enter search terms and get tons of recommendations in seconds.

Good: The recommended words are really helpful words.

These words are recommended to you only after data analysis. They are cost-effective and have high attention from netizens. They also list the average daily search volume and fierce competition of each word, so that you can choose a word with a basis and a reference. Reasonable selection of recommended keywords can not only help solve the problem of insufficient display volume, low clickthrough rate, low word quality, etc., but also reduce the average click price and tap new growth points.

Provincial: Through the system's automatic intelligent recommendation, you can really save time and effort when mentioning words.

Step 1: Enter the "Keyword Tool":

During the customer's new plan / unit process, or when entering an existing promotion unit, the system will guide the customer to the keyword tool page; enter the "key" in the "toolbar" (as shown below), "promotion assistant platform" Word tools. "

Step 2: Login to the "Keyword Tool" interface

You can enter your own keywords on the left, or you can select the referenced query area on the right, and then enter the seed words in the box below the recommended keywords to get the keywords recommended by the system. You can customize the filtering settings for your needs, and then you can click to select keywords. You can choose the matching method when saving: At the same time, you can also recommend the appropriate keywords to customers through tailor-made recommendations at the bottom of the figure above.

Look at the recommendation first : Before mentioning the word, first see if there is a recommendation for the word, and in some cases, it is preferred to select such words; if not, enter the word to search.

Before searching for words, first determine the scope of the words: according to the region selected by the customer and the matching method, the words recommended by the system are different. When searching for words, please pay attention to determine the "query area" and "matching mode" in order to get the results you really need.

Word Search Skills : First search for the most relevant words that are relevant to the industry / business and have relatively large concepts (such as "foreign language training"), and find words that are closer to the customer's specific product and business in the results (such as "English training", "IELTS improvement" "," Going abroad ", etc.), and then use this word as a seed word to search, so the recommendation results will be more relevant to customers.

Word selection principle : Word selection must be based on the customer's industry characteristics and economic strength.

1. Popular industries + weak economic strength-choose a large number of words with a small average daily search volume and less intense competition. The prices of these long tail words are relatively low.

2. Popular industries + strong economic strength-choose the words with a large average daily search volume and fierce competition, and the promotion costs will be relatively high.

3. Unpopular industry + weak economic strength-mention words with a small average daily search volume and less intense competition. Words with a small search volume sometimes better reflect the precise needs of netizens and their understanding of the industry, and they are more likely to become real customers of the company.

4. Unpopular industry + strong economic strength-preference is given to words with a large average daily search volume and fierce competition, and at the same time, a large number of words with a small average daily search volume are mentioned.

Multi-evaluation results : Give comments on the recommended words (click the thumb or trash can), the machine can learn and remember their preferences, and can recommend more desirable words in the future, improving the efficiency of pushing words.

Pay proper attention to two types of words :

Blue sea words: words searched by netizens, business related to the company, high product relevance, and clicks

Dark horse words: High relevance (closely related to corporate business and existing accounts), relatively low degree of competition, and high return on investment. ^[1]