Integrate Google Tag Manager into WordPress and generate an advanced, customizable dataLayer for publishers, blogs, and digital media. Get detailed insights about reader behavior and maximize your monetization.
dataLayer Parameters
Initial Configuration
Manual Code Lines
Free
Everything you need for advanced content tracking
Automatically generates a complete dataLayer with detailed information about content: hierarchical categories, tags, author, format, multimedia, and more.
Customize separators, CSS selectors, event names, and parameters according to the specific needs of your website.
Mark posts as premium or evergreen directly from the WordPress editor. Differentiated tracking for monetization.
Download a complete Google Tag Manager container with view_post and read_post events already configured and ready to use.
Automatically detects multimedia, reading time, used editor, and traffic origin without manual configuration.
Optimized code for performance, data validation, security nonces, and full compatibility with WordPress.
Exclusive advantages for content sites
Set up, configure, and start tracking your content in just 5 minutes. No technical complications at all.
Get granular, actionable data about your readers' behavior and engagement with every piece of content.
Easily adjust the read_post event in GTM: set your own time (30s) and scroll (90%) thresholds for engagement.
Boost your monetization strategy with precise, real-time data about premium and evergreen content.
Seamlessly integrates with Google Analytics 4 and BigQuery for advanced, custom content performance analysis.
Everything is generated automatically by the plugin. No need to write or maintain any manual code.
Works with all WordPress themes. Use customizable CSS selectors to adapt to any design or layout.
Join our active Telegram group to get help, share experiences, and connect with other publishers worldwide.
Analyze which editor generates better engagement
Detects posts created with Elementor Page Builder
Detects posts created with Divi Builder
Detects posts created with WP Bakery Page Builder
Detects posts created with the native block editor
gtm4pubs_editor - Contains the detected editor name (elementor, divi, wp_bakery, gutenberg, other)
See how tracking works in action
{
"event": "view_post_ready",
"gtm4pubs_categories": "technology>artificial-inteligence|marketing>analytics",
"gtm4pubs_tags": "ai,chatgpt,productivity,tools",
"gtm4pubs_author_id": 1,
"gtm4pubs_post_id": 1234,
"gtm4pubs_format": "standard",
"gtm4pubs_multimedia": "image,video,gallery",
"gtm4pubs_word_count": 2500,
"gtm4pubs_reading_time": 13,
"gtm4pubs_publication_date": "2024-01-15",
"gtm4pubs_update_date": "2024-01-20",
"gtm4pubs_sticky": 0,
"gtm4pubs_origin": "category",
"gtm4pubs_access": "premium",
"gtm4pubs_evergreen": 1,
"gtm4pubs_comments_count": 45,
"gtm4pubs_editor": "gutenberg",
"gtm4pubs_related": 1
}This dataLayer is generated automatically on each individual post page
Complete access without hidden costs
Forever
Find answers to common questions and see advanced BigQuery analysis examples
Note: The plugin requires WordPress 5.0+ and PHP 7.4+.
Important: The container includes view_post and read_post events with all necessary variables mapped to your dataLayer.
GTM4Publishers is designed to work alongside other Tag Manager plugins, but there are some considerations:
Note: The plugin uses unique variable names (gtm4pubs_*) to minimize conflicts with other plugins.
Yes! The plugin is designed to work perfectly with Google Analytics 4 and BigQuery. Once you have GA4 exporting data to BigQuery, you can use the dataLayer parameters (like categories, access, editor, etc.) for advanced analysis.
Below you'll find a comprehensive collection of BigQuery example queries that cover:
These queries are ready to use and will help you gain valuable insights into your content performance and user behavior.
Analyze which content categories generate the most engagement and read events.
SELECT
REGEXP_EXTRACT(event_params.value.string_value, r'([^>]+)$') as main_category,
COUNT(CASE WHEN event_name = 'view_post' THEN 1 END) as views,
COUNT(CASE WHEN event_name = 'read_post' THEN 1 END) as reads,
ROUND(COUNT(CASE WHEN event_name = 'read_post' THEN 1 END) * 100.0 /
COUNT(CASE WHEN event_name = 'view_post' THEN 1 END), 2) as engagement_rate
FROM `your-project.analytics_123456789.events_*`,
UNNEST(event_params) as event_params
WHERE event_params.key = 'gtm4pubs_categories'
AND _TABLE_SUFFIX >= FORMAT_DATE('%Y%m%d', DATE_SUB(CURRENT_DATE(), INTERVAL 30 DAY))
GROUP BY main_category
ORDER BY engagement_rate DESCCompare engagement rates between premium and public content to optimize monetization strategy.
SELECT
event_params.value.string_value as access_type,
COUNT(CASE WHEN event_name = 'view_post' THEN 1 END) as views,
COUNT(CASE WHEN event_name = 'read_post' THEN 1 END) as reads,
ROUND(COUNT(CASE WHEN event_name = 'read_post' THEN 1 END) * 100.0 /
COUNT(CASE WHEN event_name = 'view_post' THEN 1 END), 2) as engagement_rate
FROM `your-project.analytics_123456789.events_*`,
UNNEST(event_params) as event_params
WHERE event_params.key = 'gtm4pubs_access'
AND _TABLE_SUFFIX >= FORMAT_DATE('%Y%m%d', DATE_SUB(CURRENT_DATE(), INTERVAL 30 DAY))
GROUP BY access_type
ORDER BY engagement_rate DESCCompare which content editor (Elementor, Divi, WP Bakery, Gutenberg) generates better user engagement.
SELECT
event_params.value.string_value as editor,
COUNT(CASE WHEN event_name = 'view_post' THEN 1 END) as views,
COUNT(CASE WHEN event_name = 'read_post' THEN 1 END) as reads,
ROUND(COUNT(CASE WHEN event_name = 'read_post' THEN 1 END) * 100.0 /
COUNT(CASE WHEN event_name = 'view_post' THEN 1 END), 2) as engagement_rate
FROM `your-project.analytics_123456789.events_*`,
UNNEST(event_params) as event_params
WHERE event_params.key = 'gtm4pubs_editor'
AND _TABLE_SUFFIX >= FORMAT_DATE('%Y%m%d', DATE_SUB(CURRENT_DATE(), INTERVAL 30 DAY))
GROUP BY editor
ORDER BY engagement_rate DESCAnalyze the performance of evergreen content compared to time-sensitive content.
SELECT
event_params.value.string_value as evergreen,
COUNT(CASE WHEN event_name = 'view_post' THEN 1 END) as views,
COUNT(CASE WHEN event_name = 'read_post' THEN 1 END) as reads,
ROUND(COUNT(CASE WHEN event_name = 'read_post' THEN 1 END) * 100.0 /
COUNT(CASE WHEN event_name = 'view_post' THEN 1 END), 2) as engagement_rate
FROM `your-project.analytics_123456789.events_*`,
UNNEST(event_params) as event_params
WHERE event_params.key = 'gtm4pubs_evergreen'
AND _TABLE_SUFFIX >= FORMAT_DATE('%Y%m%d', DATE_SUB(CURRENT_DATE(), INTERVAL 30 DAY))
GROUP BY evergreen
ORDER BY engagement_rate DESCIdentify which traffic sources bring the most engaged users by calculating engagement rates.
SELECT
traffic_source,
COUNT(*) as total_sessions,
COUNT(CASE WHEN event_name = 'read_post' THEN 1 END) as read_events,
ROUND(COUNT(CASE WHEN event_name = 'read_post' THEN 1 END) / COUNT(*) * 100, 2) as engagement_rate
FROM `your-project.analytics_123456789.events_*`
WHERE event_name IN ('page_view', 'read_post')
AND _TABLE_SUFFIX >= FORMAT_DATE('%Y%m%d', DATE_SUB(CURRENT_DATE(), INTERVAL 30 DAY))
GROUP BY traffic_source
HAVING total_sessions > 100
ORDER BY engagement_rate DESCCompare how different types of multimedia content perform in terms of user engagement.
SELECT
event_params.value.string_value as post_type,
COUNT(CASE WHEN event_params.value.string_value = 'true' THEN 1 END) as has_video,
COUNT(CASE WHEN event_params.value.string_value = 'true' THEN 1 END) as has_audio,
COUNT(CASE WHEN event_params.value.string_value = 'true' THEN 1 END) as has_gallery,
COUNT(*) as total_posts,
AVG(read_time) as avg_read_time,
COUNT(CASE WHEN event_name = 'read_post' THEN 1 END) as total_reads
FROM `your-project.analytics_123456789.events_*`,
UNNEST(event_params) as event_params
WHERE event_name = 'read_post'
AND event_params.key IN ('gtm4pubs_has_video', 'gtm4pubs_has_audio', 'gtm4pubs_has_gallery')
AND _TABLE_SUFFIX >= FORMAT_DATE('%Y%m%d', DATE_SUB(CURRENT_DATE(), INTERVAL 30 DAY))
GROUP BY post_type, has_video, has_audio, has_gallery
ORDER BY avg_read_time DESCFind the most engaging tags to understand what topics resonate best with your audience.
SELECT
event_params.value.string_value as post_tags,
COUNT(*) as total_posts,
AVG(read_time) as avg_read_time,
COUNT(CASE WHEN event_name = 'read_post' THEN 1 END) as total_reads
FROM `your-project.analytics_123456789.events_*`,
UNNEST(event_params) as event_params
WHERE event_name = 'read_post'
AND event_params.key = 'gtm4pubs_tags'
AND event_params.value.string_value IS NOT NULL
AND _TABLE_SUFFIX >= FORMAT_DATE('%Y%m%d', DATE_SUB(CURRENT_DATE(), INTERVAL 30 DAY))
GROUP BY post_tags
ORDER BY avg_read_time DESC
LIMIT 15Understand how user engagement varies across different device types.
SELECT
device.category as device_type,
COUNT(*) as total_sessions,
AVG(read_time) as avg_read_time,
COUNT(CASE WHEN event_name = 'read_post' THEN 1 END) as read_events
FROM `your-project.analytics_123456789.events_*`
WHERE event_name IN ('page_view', 'read_post')
AND _TABLE_SUFFIX >= FORMAT_DATE('%Y%m%d', DATE_SUB(CURRENT_DATE(), INTERVAL 30 DAY))
GROUP BY device_type
ORDER BY avg_read_time DESCReal experiences from publishers
"GTM4Publishers revolutionized our tracking. In 5 minutes we had a complete dataLayer that gave us insights we'd never had before."
"Automatic content premium detection allowed us to optimize our monetization strategy. The data is incredibly accurate."
"The pre-configured GTM container saved us hours of work. Everything worked perfectly from the first moment."
Need personalized help, training, or consulting to get the most out of GTM4Publishers and your analytics?
This plugin is completely free, but your support helps us dedicate more time to:
Advanced analytics and tracking capabilities
Faster responses and detailed assistance
Optimizations and speed improvements
Every contribution, no matter how small, makes a difference!
Join hundreds of publishers who are already getting valuable insights with GTM4Publishers