Linkedin Posts and Activity Analysis

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What this workflow does

This workflow helps you pull a person’s recent LinkedIn activity, then analyze it inside the grid. You can use it to:

• fetch the most recent LinkedIn posts from a profile
• see exactly when someone was last active
• extract topics they talk about

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Step 1: Add the Recent Posts enrichment

1. Open your grid (with at least a Name and LinkedIn URL column)
2. Go to Enrichments
3. Search for Recent posts
4. Map it to the column that contains the LinkedIn URL
5. Save the enrichment

You can run this:

• for a single cell (quick testing)
• or for the full grid if you have a large list

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Step 2: Run the enrichment and inspect the results

After running, Bitscale returns the most recent posts for that profile. For each post, you can get fields like:

• post text
• post link
• whether it is a repost or an original post
• posted at (timestamp)
• posted ago (relative time like “2 hours ago”)
• social counts (engagement metrics)

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Step 3: Turn any result field into a column

When you open the enrichment result, you can make any field visible in the grid.

1. Hover over the field you want
2. Click Add as column
3. Bitscale creates a new column and fills it automatically

Common columns to add:

• Post text (so you can read it easily)
• Posted ago (quick freshness signal)
• Posted at (exact date and time)

Note: posted ago is relative to when you ran the enrichment.
If you want the exact date, use posted at.

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Step 4: Analyze activity using an AI column

Once you have the raw post data, you can analyze it with an AI column.

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Example 1: Has this person posted in the last 30 days?

1. Add an AI model column
   • you can use OpenAI, Gemini, or your own model
2. Write a simple prompt
3. Pass columns into the prompt using @
   • this lets you reference values from the grid directly

Example intent:

• give the model the posted date
• ask if the activity happened in the last 30 days

If you want a clean, structured answer, set an output format like:

• posted_in_last_30_days: true/false

You can use Use AI to auto-suggest the output structure based on your prompt. When you run it, you get a simple boolean signal you can filter on.

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Example 2: What topics does this person talk about?

1. Pass the recent posts text column as input (using @)
2. Ask the model to list the main topics discussed across posts
3. Run it

Now you have topic tags you can use for:

• personalization
• segmentation
• routing the lead to the right rep
• deciding the best outreach angle

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Common use cases

• prioritize leads who have been active recently
• personalize outbound using what the person just posted about
• build simple “activity signals” you can filter and route
• generate talk tracks based on recurring post themes

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Need help?

If you want help setting up the enrichment, building the prompts, or creating structured outputs, reach out on the support channel.