Avoid errors and improve data quality in Nielsen
Improper Campaign Tagging
Challenge: Missing or incorrect UTM parameters can result in poor attribution, making it difficult to accurately measure how your campaigns are performing and potentially underreporting their impact.
Impact: Without proper tagging, you might not know which campaigns are driving results, leading to misinformed decisions about budget allocation and future marketing strategies. This lack of clear attribution can hinder your ability to optimize campaigns for better ROI.
Inconsistent Data Across Platforms
Challenge: When data doesn't match between your analytics tools and Nielsen, it leads to discrepancies and makes insights unreliable.
Impact: These inconsistencies can make it difficult to get a clear and unified understanding of your performance. It can also hinder your ability to make confident decisions based on data and potentially complicate reporting and analysis efforts.
Fragmented Event Tracking
Challenge: When your tracked events aren't uniform, it leads to incomplete data about user behavior, making audience segmentation difficult.
Impact: This lack of consistent event tracking can prevent you from getting a full picture of how users are interacting with your platform. It hinders your ability to create effective audience segments based on behavior, limiting your personalization and targeting capabilities.
Lack of Specification Governance
Challenge: If you don't have strict standards for tracking, different teams might use inconsistent tags or naming conventions.
Impact: This lack of governance can lead to messy and unreliable data, making it difficult to analyze information consistently across your organization. It can also hinder collaboration between teams and make it harder to get a unified view of your performance.
No Continuous Monitoring
Challenge: Relying on manual quality assurance (QA) often means issues aren't caught quickly, allowing data quality to decline without being noticed.
Impact: This lack of continuous monitoring can lead to prolonged periods of inaccurate or incomplete data, potentially skewing your insights and the decisions you make based on them. Addressing data quality issues after they've accumulated can also be more time-consuming and resource-intensive.
Campaign Tracking Validation
Verifies that campaign parameters and tracking links are properly tagged across all acquisition channels.
Attribution Consistency
Ensures that user journeys are accurately tracked for reliable attribution in Nielsen.
Event Specification Monitoring
Validates that event names and structures follow your defined standards to avoid confusion or gaps.
Real-Time Alerts
Detects tracking failures immediately so your teams can act before data loss impacts reporting.
How does Trackingplan improve Nielsen campaign accuracy?
Trackingplan validates campaign tagging and data flows to Nielsen, ensuring your marketing attribution and metrics align with campaign goals. This reduces discrepancies and enhances the reliability of Nielsen reports.
How can I detect misconfigured UTM parameters in Nielsen?
Trackingplan continuously monitors your UTM parameters for issues such as missing, incomplete, or incorrectly formatted tags in Nielsen tracking. It promptly alerts you to any inconsistencies, ensuring your attribution data stays accurate, reliable, and actionable.
Will Trackingplan help me align Nielsen data across platforms?
Absolutely. By enforcing consistent data quality standards, Trackingplan helps align your campaign data across Nielsen and all other analytics and marketing tools, leading to more accurate cross-platform insights.
Still have questions?
Happy tracking, happy clients
Because life’s too short for tedious data work
Our results in numbers
Achieve more by getting rid of manual processes and validations
From weeks to hours
Reduction of measurement error resolution time
90%
Hours saved per month per FTE
Reduction in data errors in reports
Improvement in campaign performance
Efficiency increase in marketing automation
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