Data Layer Tool

The tool analyzes a website's data layer by ingesting a JSON payload or a target URL, parses common dataLayer shapes, and produces a normalized view of events, keys, and variables. It supports standard GTM/GA4 style dataLayer structures and focuses on visibility into data flow rather than UI rendering. This foundation enables rapid assessment of tagging readiness, helps identify gaps between expected payloads and actual data, and provides a repeatable process for ongoing governance of analytics data across pages and apps.
Core logic applies domain rules to detect standard ecommerce structures (event names, currency, value, and items) and non-ecommerce keys such as user properties or page type. It runs validation checks for required fields, type consistency, and cross-field relationships, flagging missing values, incorrect types, duplicate keys, or conflicting event payloads. The system infers a canonical schema and highlights deviations from common conventions so engineers can align data to a shared model.
Audience and impact: marketing analytics teams, developers implementing tag managers, QA analysts, and data engineers benefit from a single source of truth about the data layer. Unique value: automated schema inference, concrete mapping suggestions, and exportable artifacts (JSON/CSV) that integrate with pipelines and ticketing workflows, reducing debugging time and preventing data quality regressions.
Core features include ingestion of JSON snippets or URLs, automatic schema inference, a normalized schema, an event map, and a report of issues with severity and proposed fixes. Use cases cover product impressions, add-to-cart events, purchases, and revenue validation across currencies and locales, with guidance on aligning keys to common naming conventions. The tool is designed as a free online utility to support teams seeking lightweight, rigorous data layer diagnostics.