
Challenge: Campaign tags are used incorrectly or inconsistently.
Impact: Results in fragmented campaign data, making it difficult to measure performance accurately and optimize marketing efforts.
Challenge: Floodlight tags are misconfigured or improperly implemented.
Impact: Leads to inaccurate conversion tracking and reporting, which impacts the ability to measure campaign effectiveness and optimize strategies.
Challenge: Click-through or conversion events are not properly tracked.
Impact: Results in incomplete campaign insights, making it difficult to evaluate ad performance and optimize future campaigns.
Challenge: Skewed attribution models are used in tracking.
Impact: Misleads the analysis of campaign effectiveness, making it harder to accurately assess which channels or touchpoints contribute to conversions.
Challenge: Manual testing is used to validate tags.
Impact: Increases the chances of missing errors and causes delays in tracking, leading to inaccurate data and hindered campaign optimization.
Ensures all campaign tags are implemented consistently and correctly across your platforms.
Monitors and validates Floodlight tags to guarantee that all conversions are properly tracked.
Tracks ad click and conversion data in real-time, alerting you to issues instantly.
Validates your attribution settings to ensure correct measurement of your campaign performance.
Proper tag placement and event tracking are essential to capture all campaign interactions. Trackingplan automates tag validation, ensuring your campaigns are fully and accurately tracked.
Incorrect tag sequencing leads to skewed data and misreported results. Trackingplan monitors tag firing sequences in real-time, helping you fix order issues before they impact data.
Yes, Trackingplan automatically detects common errors and alerts you so you can maintain accurate campaign tracking.
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





