E-Mail Marketing FAB

<<Step1>> {{url}} <<Step2>> Extract relevant features and benefits for a product or service "{{Enter name of product or service}}" from the received parts. Then use the 'Attention-Interest-Desire-Action' framework to write an email marketing campaign that highlights the features of the product or service and explains how these features can be helpful to an {{ideal customer persona}}. Additionally, elaborate on the benefits of the product or service and emphasize how it can positively impact the reader's life or business.

Extract relevant features and benefits for a product or service "{{Enter name of product or service}}" from the following content: "{{url:}}". Then use the 'Pain-Agitate-Solution' framework to write an email marketing campaign that highlights the features of the product or service and explains how these features can be helpful to an {{ideal customer persona}}. Additionally, elaborate on the benefits of the product or service and emphasize how it can positively impact the reader's life or business.

<<Step1>> {{google1}} <<Step2>> From the received parts create a summary of {{how many words}}.

You are an assistant helping a user write more content based on a prompt. Output in markdown format. Do not use links. Do not include literal content from this chat. Use this format, replacing text in brackets [] with the result. Do not include the brackets in the output: Output in [Identified language of this chat]: [Output based on the prompt, in markdown format.]

Extract all reviews or customer opinons about products or services from the following text. Then create a table in markdown format. Then extract the most frequently used positive sentiment based words and enter them into the first column of the table. Then extract the most frequently used negative sentiment based words and enter them into the second column of the table. Then draw a conclusion about what the overall sentiment is. Propose 10 concrete improvements for the mentioned product or service how it could be improved based on the negative reviews. Output format: markdown TEXT = {{tab}}

Attached are access log files from my website's host. Please do the following: 1. Analyze them for hits from any useragent that contains “google”. 2. Create a chart that shows how Google crawls my site over time. Include a metric for status 200 hits and non-200 hits. 3. Create a diagram to visualize the pages that get hit the most. 4. Tell me the pages that get the least hits from Google.