应用截图

详细介绍
Debug and test tag management (Google Tag Manager, DTM, Tealium) and analytics implementations.
dataslayer adds a panel to Chrome Developer Tools that monitors tag management data layers and displays changes in an easy-to-read, user-friendly format.
Supported TMS/variables include:
- Google Tag Manager dataLayer variable
- Adobe Launch rules and data elements
- Adobe DTM page load rules and detection
- Tealium data layer
- TagCommander data layer
- custom data layers (any variable represented as a JavaScript object)
dataslayer supports multiple data layers / GTM containers on a single page, including those in embedded iframes.
dataslayer also decodes and displays tags (including pageviews, variables, and click events) from:
- Google Analytics (including App + Web, Universal Analytics / analytics.js, dc.js, and ga.js)
- Adobe Analytics / Omniture SiteCatalyst
- Floodlight
For feature requests and bug reports, please either use the 'Send Feedback' option in the Chrome Web Store or reach out directly to info@dataslayer.org
Source lives at https://github.com/sean-adams/dataslayer if you'd like to contribute!
dataslayer adds a panel to Chrome Developer Tools that monitors tag management data layers and displays changes in an easy-to-read, user-friendly format.
Supported TMS/variables include:
- Google Tag Manager dataLayer variable
- Adobe Launch rules and data elements
- Adobe DTM page load rules and detection
- Tealium data layer
- TagCommander data layer
- custom data layers (any variable represented as a JavaScript object)
dataslayer supports multiple data layers / GTM containers on a single page, including those in embedded iframes.
dataslayer also decodes and displays tags (including pageviews, variables, and click events) from:
- Google Analytics (including App + Web, Universal Analytics / analytics.js, dc.js, and ga.js)
- Adobe Analytics / Omniture SiteCatalyst
- Floodlight
For feature requests and bug reports, please either use the 'Send Feedback' option in the Chrome Web Store or reach out directly to info@dataslayer.org
Source lives at https://github.com/sean-adams/dataslayer if you'd like to contribute!