FROM MANUAL TO MAGICAL

AutoUTM™ is a UTM tagging automation tool for LinkedIn Ads. It automatically applies predefined tracking templates, ensuring consistency across campaigns and preventing data fragmentation.

API approved

Problem

UTM tagging in LinkedIn Ads is often handled manually, leading to inconsistencies across campaigns and teams. Variations in naming, formatting, and structure result in fragmented data and unreliable analytics. Even small errors can break tracking, making it difficult to measure performance accurately and maintain clean reporting at scale.

Challenge

The main challenge was to design a system that reduces dependency on manual input while preserving flexibility across different campaign structures. The solution needed to enforce consistent tagging rules, prevent common human errors, and remain adaptable to various use cases across multiple ad accounts. At the same time, the system had to be simple to adopt without requiring complex setup or technical expertise.

Solution

AutoUTM™ is an automation tool designed to standardize and manage UTM tagging across LinkedIn Ads. It applies predefined or customizable tracking templates, ensuring consistency while supporting flexible campaign configurations. The system introduces structured inputs, dynamic parameters, and centralized control, enabling scalable automation, reducing human error, and improving the reliability of campaign data.

ELIminating chaos
in camppaign tracking

CONSISTENT TRACKING ACROSS CAMPAIGNS

UTM tagging is often inconsistent across campaigns and teams, leading to fragmented data and unreliable analytics. AutoUTM™ addresses this by enforcing a unified tracking structure across ad accounts.

Inconsistent UTM naming across campaigns and teams often leads to fragmented data and unreliable analytics. Variations in structure, casing, and terminology make it difficult to maintain clarity at scale. By enforcing a unified tagging system, consistency is preserved across all ad accounts, resulting in cleaner data and more reliable performance tracking.

Eliminating Common Human Mistakes in Tagging

A single incorrect tag can lead to thousands of untrackable clicks. Automating UTM tagging reduces common errors and improves the reliability of campaign data.