# Automating LinkedIn Engagement Capture for Tigerhall

## About the company

**Tigerhall** is a B2B learning and thought-leadership platform that helps business audiences discover practical insights from industry leaders. Social content is a primary growth engine, with **LinkedIn** driving awareness, community engagement, and a steady stream of warm prospects. To turn that engagement into pipeline, **Tigerhall** prioritizes timely visibility into who interacts, clean, structured data for qualification, and **personalized first touches** that reflect each prospect's role and context.

## The problem

Each time **Tigerhall** published a post on **LinkedIn**, the team manually scraped details of users who liked or commented to identify potential prospects. For every engager, the POC looked up:

- Current job title and company.
- Previous roles and seniority indicators.
- Context for personalization such as industry and function.

This workflow was entirely manual and consumed around 2 hours per day, diverting attention from higher-value activities like messaging tests, campaign design, and meetings with qualified prospects.

## Impact of the manual process

- Slow speed to engage as data collection lagged behind post performance.
- Inconsistent data quality due to copy/paste errors and missing fields.
- Opportunity cost with the POC spending significant time on repetitive tasks.

## The solution

We built an automated **LinkedIn** engagement scraper that collects details of users who like or comment on **Tigerhall**'s posts and writes them directly to a Google Sheet that the team uses for outreach and tracking.

## How it works

- Scheduled runs pull new post engagements at set intervals and de-duplicate records.
- Lead enrichment captures name, job title, company, and prior roles, and normalizes fields for filtering.
- Google Sheets sync updates a shared worksheet with fresh, structured rows ready for outreach.
- **Readiness by morning:** The system completes overnight so the POC opens a sheet that's already populated.
- Logging and alerts flag run status and any exceptions for quick follow-up.

## Success metrics

- **120+ hours saved per month** for the POC, reclaiming time for strategy, messaging, and meetings.
- Faster outreach with engagement leads available the next morning after a post goes live.
- Higher data completeness across required fields, reducing manual corrections.

**Business impact**: More consistent follow-through on warm **LinkedIn** signals, improved personalization at first touch, and more time for activities that drive revenue.