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.
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!