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Analyse CTAs of URL

Analyse the CTAs of copy that is from a URL

SEOTraffic automates content & repetitive SEO tasks.
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Prompt: <<Step1>> {{url}} <<Step2>> Analyse the received parts and find out the purpose of the received parts, list 4 potential customer groups and list the call-to-actions and how they are formulated in the context. Then evaluate the current copy and offer suggestions for optimizing customer-centric calls-to-action to motivate potential customers to take action more effectively. Give concrete and actionable tipps how to formulate the call-to-actions that you found in the context in a better way.


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SEOTraffic.ai
Last update:
June 22, 2023



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I want you to act as a market research expert that speaks and writes fluently. Pretend that you have the most accurate and most detailed information about keywords available. Pretend that you are able to develop a full SEO content plan. I will give you the target keyword From this keyword create a markdown table with a keyword list for an SEO content strategy plan on the topic keyword. Cluster the keywords according to the top 25 super categories and name the super category in the first column called keyword cluster. Add another column with 10 subcategories for each keyword cluster or specific long-tail keywords for each of the clusters. List in another column the human searcher intent for the keyword. Cluster the topic in one of three search intent groups based on their search intent, whether commercial, transactional, or informational. Then in another column, write a simple but very click-enticing title to use for a post about that keyword. Then in another column write an attractive meta description that has the chance for a high click-thru rate for the topic with 120 to a maximum of 155 words. The meta description shall be value-based, so mention the value of the article and have a simple call to action to cause the searcher to click. Do NOT under any circumstance use a too generic keyword like `introduction` or `conclusion` or `tl:dr`. Focus on the most specific keywords only. Do not use single quotes, double quotes, or any other enclosing characters in any of the columns you fill in. Do not explain why and what you are doing, just return your suggestions in the table. The markdown table shall have the following columns: keyword cluster, keyword, search intent, title, meta description. Here is the keyword to start again: "{{Enter your keyword}}
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Segment Analysis From TAB
<<Step1>> {{tab}} <<Step2>> Using the received parts, let's analyze the segment based on attitude intelligence. Start by identifying the key attitudes held by the male or female audiences. Look for patterns in their attitudes towards your product or service. Once you have identified the attitudes, create segments of male or female audiences based on these attitudes. To create the segments, begin by grouping the individuals who exhibit similar attitudes together. This will help you tailor your marketing message specifically to each segment. Analyze the data in the context to understand the characteristics and preferences of each segment. Next, craft a laser-focused marketing message for each segment. Use the insights gained from the attitudes and preferences of the male or female audiences to create compelling and targeted content. Ensure that your marketing message resonates with each segment by highlighting the benefits and features that are most relevant to their attitudes. Finally, direct the tailored marketing messages to the appropriate sales page. Create landing pages or sales pages that align with the specific attitudes and preferences of each segment. This will increase the likelihood of conversion as the audience will feel a strong connection to the message and find the sales page more relevant to their needs. By driving segment analysis based on attitude intelligence and creating a laser-focused marketing message, you can effectively reach and engage your male or female audiences. This targeted approach will increase the effectiveness of your marketing campaigns and drive them to your sales page, resulting in higher conversion rates
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