Most words in the English language can be categorized as a noun, adverb , adjective, preposition, Pronoun, or verb.The same can be said for products.Most products can be described by Product types, product attributes, adjectives, and so on. By Breaking down your Products or services into their base elements and then recombining these words, you can easily create huge keywords lists
The minimum number of ad groups should be seven, one for each product type. You could easily have a few hundred ad groups from this information.
For example , at the most granular level, each keyword generated this could instead be an ad group. To fill in the keywords within the ad group, you could use plurals, misspellings, and similar words such as "t-shirt," and "tee shirt."
Creating keyword lists to generate thousands of keywords is useful. However, if done improperly, you could quickly end up with more keywords than you know how to organize, let alone manage. you can use the exact same techniques of creating lists to first diagram your ad groups, and then you can create lists within each ad group to generate the final keywords used within your account.
Using Long Tail Keywords
The Long Tail is a tern first coined by Chris Anderson in an article in an wired magazine to describe how niche markets can sell a Large number of infrequently sold items that together create more total sales than the top- selling product lists
For example, before the days of the Internet , bookstores had to keep physical inventory in their stores. There is a finite number of books that can be housed and displayed upon shelves within a stored. There is a finite number of books that can be housed and displayed upon shelves within store. The top- selling books in each category were most prominently featured. A book had to constantly sell to continue to maintain space on the shelves; otherwise, it was regulated to the discount bin to make space for a book that was selling. While some of these books might have sold a few copies each month it was not worth the self space to try and keep them in stock.
Then came amazon.com, which had no physical storage limit for its products, suddenly, a book that only sold one copy a month, or only a hundred copies a year, could still be profitable for amazon. when you combine the millions of books that only sell a few copies, those total sales can be equal to or even exceed the top best selling books.
You can repeat the same logic for any niche-based business, such as Netflix. Netflix carries thousands of copies of the most rented titles. However, the power of Netflix comes from their ability to carry even a few copies of each low-demand title. It is a powerful value proposition to the Netflix customer that even these niche movies can equal to the total rentals of the top hundred movies.
This same logic can be applied to keywords. single word keyword searches make up roughly 20 percent of the search volume in the United States. However, Search queries that are five or more words in length make up nearly 20 percent of the Search Volume as well
The minimum number of ad groups should be seven, one for each product type. You could easily have a few hundred ad groups from this information.
For example , at the most granular level, each keyword generated this could instead be an ad group. To fill in the keywords within the ad group, you could use plurals, misspellings, and similar words such as "t-shirt," and "tee shirt."
Creating keyword lists to generate thousands of keywords is useful. However, if done improperly, you could quickly end up with more keywords than you know how to organize, let alone manage. you can use the exact same techniques of creating lists to first diagram your ad groups, and then you can create lists within each ad group to generate the final keywords used within your account.
Using Long Tail Keywords
The Long Tail is a tern first coined by Chris Anderson in an article in an wired magazine to describe how niche markets can sell a Large number of infrequently sold items that together create more total sales than the top- selling product lists
For example, before the days of the Internet , bookstores had to keep physical inventory in their stores. There is a finite number of books that can be housed and displayed upon shelves within a stored. There is a finite number of books that can be housed and displayed upon shelves within store. The top- selling books in each category were most prominently featured. A book had to constantly sell to continue to maintain space on the shelves; otherwise, it was regulated to the discount bin to make space for a book that was selling. While some of these books might have sold a few copies each month it was not worth the self space to try and keep them in stock.
Then came amazon.com, which had no physical storage limit for its products, suddenly, a book that only sold one copy a month, or only a hundred copies a year, could still be profitable for amazon. when you combine the millions of books that only sell a few copies, those total sales can be equal to or even exceed the top best selling books.
You can repeat the same logic for any niche-based business, such as Netflix. Netflix carries thousands of copies of the most rented titles. However, the power of Netflix comes from their ability to carry even a few copies of each low-demand title. It is a powerful value proposition to the Netflix customer that even these niche movies can equal to the total rentals of the top hundred movies.
This same logic can be applied to keywords. single word keyword searches make up roughly 20 percent of the search volume in the United States. However, Search queries that are five or more words in length make up nearly 20 percent of the Search Volume as well
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