Post by account_disabled on Jan 28, 2024 6:44:17 GMT 2
The key is whether or not the user is aware of the problem.Approach people with latent needs whose concerns are not visualizedThis is the key to content marketing. Why is article content not converting? 5 ways to improve CVR content marketing Why is article content not converting? 5 ways to improve CVR 2021.03.16 3 steps to create killer content 3 steps to create killer content By taking the following three steps before creating article content, you can create killer content that approaches users' latent needs. Please keep this in mind when creating new article content. Analyze the number of CVs for each article using tools To create killer content, first use tools to analyze user behavior.
For analysis, we recommend Google Analytics, which is a major Phone Number List tool for web professionals. By keeping the following two points in mind, you can get hints for killer content. Identify article content with a high number of CVs (conversions) and analyze why they convert. Check the behavioral history of CVed users and formulate a hypothesis about what kind of troubles they have. Regarding the former, we will analyze articles with a high number of conversions, such as why articles with a large number of conversions are converted, whether articles that include keywords are ranked high, and how the articles flow. Regarding the latter, if you check "Behavior" in Google Analytics, you can see what kind of actions (flows) users take to reach CV. From this user behavior, you can hypothesize what kind of concerns the user had when converting.
By analyzing article characteristics and user behavior from two aspects, it is possible to visualize what kind of content should be created. Investigating two reasons for CV and reasons not to CV In owned media, there are articles that have CV as mentioned above, and on the other hand, there are also articles that do not have CV. Even for articles that do not have CVs, it is important to analyze why they do not. Through analysis, you can find out how close a user is to closing a deal when they visit a certain article. Using the concept of micro-moments, the keywords searched by users can be divided into four categories: Know queries, Go queries, Buy queries, and Do queries . For example, if an article that does not have a CV includes a search keyword in a Know query (e.g., What is content marketing?), the user is at the stage of wanting to know about the searched keyword, so it can be said that there is a long way to go before closing a deal.
For analysis, we recommend Google Analytics, which is a major Phone Number List tool for web professionals. By keeping the following two points in mind, you can get hints for killer content. Identify article content with a high number of CVs (conversions) and analyze why they convert. Check the behavioral history of CVed users and formulate a hypothesis about what kind of troubles they have. Regarding the former, we will analyze articles with a high number of conversions, such as why articles with a large number of conversions are converted, whether articles that include keywords are ranked high, and how the articles flow. Regarding the latter, if you check "Behavior" in Google Analytics, you can see what kind of actions (flows) users take to reach CV. From this user behavior, you can hypothesize what kind of concerns the user had when converting.
By analyzing article characteristics and user behavior from two aspects, it is possible to visualize what kind of content should be created. Investigating two reasons for CV and reasons not to CV In owned media, there are articles that have CV as mentioned above, and on the other hand, there are also articles that do not have CV. Even for articles that do not have CVs, it is important to analyze why they do not. Through analysis, you can find out how close a user is to closing a deal when they visit a certain article. Using the concept of micro-moments, the keywords searched by users can be divided into four categories: Know queries, Go queries, Buy queries, and Do queries . For example, if an article that does not have a CV includes a search keyword in a Know query (e.g., What is content marketing?), the user is at the stage of wanting to know about the searched keyword, so it can be said that there is a long way to go before closing a deal.