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Customer Story

How LaunchDarkly Fixed Attribution and Improved Cost Allocation With Metadata

Learn how LaunchDarkly used Metadata to solve UTM tracking issues, improve attribution accuracy, and optimize paid social cost allocation.

100%Accurate Pipeline Attribution
Data-DrivenBudget Reallocation to Top Channels
ZeroUTM Parameter Errors
Industry
Software Development / SaaS
Company Size
Mid-Market (500+ employees)
Products Used
Campaign Automation, UTM Management, Attribution
1 The Challenge

LaunchDarkly's marketing team was dealing with inaccurate UTM tagging, untested campaign launches, and misaligned teams. With high-volume campaign launches across multiple channels, UTM parameter errors were causing attribution gaps that made it impossible to understand which campaigns were truly driving pipeline.

Without accurate tracking, the team was making budget allocation decisions based on incomplete or incorrect data. Campaign launches went live without proper QA, and cross-team collaboration suffered because different groups were looking at inconsistent metrics.

2 The Solution

Metadata provided LaunchDarkly with the campaign infrastructure and analytics to fix their attribution foundation.

  • UTM quality assurance automated parameter validation before campaigns went live, eliminating the manual errors that were corrupting attribution data.
  • Test lead workflows ensured campaigns were validated end-to-end before launch, catching issues that previously went undetected until reporting.
  • Cross-team collaboration tools aligned marketing teams around consistent metrics and standardized campaign structures.
  • Analytics infrastructure with Metadata dashboards provided a single source of truth for campaign performance and attribution.
3 The Results

With Metadata managing their campaign infrastructure, LaunchDarkly resolved the attribution gaps that had been undermining their demand gen programs.

  • Accurate tracking enabled focus on the highest-performing channels and campaigns
  • Correct attribution for paid social pipeline, replacing the incomplete data that previously drove budget decisions
  • Improved cost allocation based on reliable performance data rather than guesswork
  • Standardized campaign processes across teams, eliminating UTM parameter errors