Challenge: Misconfigured pixels or events result in lost conversion data.
Impact: Unreliable ROI and poor decision-making.
Challenge: Differences in tracking methodologies lead to conflicting reports.
Impact: Lack of trust in data across teams and tools.
Challenge: DMP audience definitions may not be properly linked in campaigns.
Impact: Missed targeting opportunities and budget waste.
Challenge: Events like “video complete” may not trigger due to syntax or missing parameters.
Impact: Loss of key engagement data for optimization.
Challenge: Errors discovered after a campaign ends are often too late to fix.
Impact: Wasted spend and missed performance targets.
Continuously checks that all Adform pixels and events are firing with the correct parameters and structure.
Tracks campaign source consistency and flags discrepancies across conversion paths.
Ensures key actions like purchases or video views are properly tracked with all necessary metadata.
Verifies that DMP segments are tagged and tracked correctly so targeting remains effective.
Data discrepancies often arise from inconsistencies in naming conventions, tag configurations, or data collection logic across platforms. Trackingplan continuously checks the structure and parameters of your Adform tags and compares them with the rest of your stack—like Google Analytics or other ad tools—to ensure naming consistency, parameter accuracy, and tag presence, so you can align reporting across your ecosystem.
With Trackingplan, you can observe Adform events as they occur in real time, including complete payloads, failed calls, and any missing parameters. This helps you quickly identify integration issues, diagnose whether a pixel is broken, or confirm that all expected events are firing properly.
Trackingplan continuously monitors your entire tag setup—even after launch. If a tag stops firing or becomes misconfigured, your team receives an instant alert. This allows you to resolve the issue before it causes significant attribution or performance discrepancies.
Because life’s too short for tedious data work
Achieve more by getting rid of manual processes and validations
Reduction of measurement error resolution time
Hours saved per month per FTE
Reduction in data errors in reports
Improvement in campaign performance
Efficiency increase in marketing automation



