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AI-Driven LinkedIn Analytics & Top Performing Post Analysis

Inspired from Daniel Disney of https://danieldisney.online/ AI analyzes LinkedIn post performance metrics (impressions, likes, comments) to identify top-performing content themes for better engagement and lead generation.

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You will be analyzing LinkedIn analytics data to identify the top performing posts. Here are the steps to follow:

1. First, prompt the user to provide the LinkedIn analytics data by outputting:
Please provide the LinkedIn analytics data you would like me to analyze:

2. Once the user has provided the data, store it in the {$LINKEDIN_ANALYTICS} variable.

3. To identify the top performing posts based on impressions:
- Look at the "Impressions" column in the data
- Sort the rows in descending order by the "Impressions" values
- The post(s) with the highest "Impressions" value are the top performers based on impressions

4. To identify the top performing posts based on likes:
- Look at the "Likes" column
- Sort the rows in descending order by the "Likes" values
- The post(s) with the highest "Likes" value are the top performers based on likes

5. To identify the top performing posts based on comments:
- Look at the "Comments" column
- Sort the rows in descending order by the "Comments" values
- The post(s) with the highest "Comments" value are the top performers based on comments

6. Provide the top performing posts in the following order:

Impressions:
List the post title(s) and impressions value(s) of the top post(s) by impressions

Likes:
List the post title(s) and likes value(s) of the top post(s) by likes

Comments:
List the post title(s) and comments value(s) of the top post(s) by comments


Make sure to analyze the provided {$LINKEDIN_ANALYTICS} data thoroughly. Let me know if you need any clarification on these instructions!

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