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Automation

How Mavlers Eliminated Manual LinkedIn ICP Tracking

Project Overview

Function

Linkedin ICP tracking automation

Use Case

Track ICP engagement real-time, detect warm outreach windows and notify teams instantly

Products / Services Used

  • LinkedIn Automation
  • Engagement Detection
  • ICP Connection Tracking
  • Prospect Activity Monitoring
  • Google Sheets Dashboard

Building relationships with Ideal Client Profiles (ICPs) on LinkedIn is a core part of Mavlers’ outbound sales motion. Teams had no scalable way to track connection status, spot when a prospect engaged with their content, or catch when an ICP published a new post, meaning warm outreach windows were routinely missed. This automation closes that gap by running hourly scans via the LinkedIn data aggregator API: a connection status check, an engagement scan, and an ICP activity scan, all surfaced in a single Google Sheets dashboard.

Performance Insights

Key results

3

Automated scans running hourly

0

Manual LinkedIn tracking required

Real-time

“Engage now” feed for the team

Full log

Historical engagement data for prioritisation

Client Objectives

The challenges we set out to solve

1.
Manual LinkedIn monitoring doesn’t scale

Teams had no consistent way to track which ICPs had accepted connection requests, who was engaging with content, and when prospects were posting new updates.

2.
Warm outreach windows missed

Without real-time signals, the team had no way to know when an ICP reacted to or commented on a post, losing the most contextual moments for follow-up.

3.
No historical engagement log

There was no system to record engagement over time, making it impossible to prioritize high-intent prospects or understand relationship trajectory.

4.
Prohibitive effort at scale

The manual work required to individually check LinkedIn for each ICP daily was simply not viable for a team managing a large prospect list.

Mavlers Strategy

How we built an automated ICP engagement engine

1.
Connection Status Scan

Automatically checks and updates whether each ICP has accepted, declined, or has a pending connection request - eliminating the need to manually re-check LinkedIn.

2.
Engagement Scan

Detects when any ICP reacts to or comments on the team’s LinkedIn posts and surfaces them immediately, enabling timely.

3.
ICP Activity Scan

Monitors ICPs’ own recent posts and flags new activity so the team can engage meaningfully - turning passive monitoring into proactive relationship-building.

4.
Single-dashboard output

All three scans feed into a unified Google Sheets tracker that serves as the team’s daily operating view, with a full historical engagement log for prioritizing outreach.

Results

What the ICP Tracker achieved

The automation eliminated manual LinkedIn tracking entirely. No ICP engagement goes unnoticed, the team has a real-time “engage now” feed for responding in the moment, and a historical engagement log provides clear prioritisation signals for outreach. The result is a scalable, always-on relationship-intelligence layer that turns LinkedIn from a passive network into an active pipeline tool.

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