Tags and Data Layer Inspection Tools

Build your scenarios that represent the most critical user paths and conversion funnels. TAGLAB bot will be able to perform these actions.

TAGLAB’s crawl scan navigates through pages, links, and interactive elements, identifying tag-related errors, warnings, and performance metrics for optimization and quality assurance.

Scans results are grouped in audit report collections. Each collection maintains the versioning history of the audits to keep track of changes over time.

The audit report provides a high-level overview, highlighting key observations on found tags, average page load speed, detected tag performance, and a comprehensive list of errors and warnings across the entire website.

Data Layer and tag parameter taxonomies are detailed for each page scanned, and each interaction performed. Including the most critical interactions such as adding an item to the cart, lead submissions, and purchases.

TAGLAB’s preset rule feature allows users to define custom validation criteria, which the platform automatically checks against the website’s tag implementation. Upon validation, TAGLAB provides clear outcomes, indicating success or failure, along with detailed reasons for any discrepancies or issues detected.

The platform streamlines governance and management tasks by enabling scheduled tests to run automatically at specified intervals. Users receive notifications of test outcomes, reducing the need for manual oversight and saving valuable time.