Connect Browse AI and Google Analytics 4 integrations
Connect Browse AI and Google Analytics 4 with any of your favorite apps in just a few clicks. Design, build, and automate anything for your work by integrating apps like Browse AI and Google Analytics 4 to create visual automated workflows. Choose from thousands of ready-made apps or use our no-code toolkit to connect to apps not yet in our library.


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Build your Browse AI and Google Analytics 4 integrations.
Create custom Browse AI and Google Analytics 4 workflows by choosing triggers, actions, and searches. A trigger is an event that launches the workflow, an action is the event.
Creates an event with user interaction data.
Returns a customized pivot report of your Google Analytics event data. Works on GA4 version only.
Returns a customized pivot report of your Google Analytics event data. Works on GA4 version only.
Performs an arbitrary authorized API call.
Performs an arbitrary authorized API call.
Runs a task.
Triggers when task is finished.
Popular Browse AI and Google Analytics 4 workflows.
Looking to get more out of Browse AI and Google Analytics 4? With Make you can visually integrate Browse AI and Google Analytics 4 into any workflow to save time and resources — no coding required. Try any of these templates in just a few clicks.
Search and delete records in Airtable using Browse AI automation
This automation handles your record management by executing Browse AI tasks to search and delete records in Airtable, streamlining your database maintenance process.
TRY IT ->Watch Google Sheets rows and execute tasks with Browse AI
Use this integration to monitor Google Sheets for new or updated rows and trigger Browse AI tasks to streamline data-driven actions and insights.
TRY IT ->Search Airtable records and execute tasks with Browse AI
Periodically search Airtable records and execute tasks with Browse AI. Streamline data retrieval and task execution using Airtable and Browse AI integration.
TRY IT ->Insert data into PostgreSQL and create documents in Google Cloud Firestore from Browse AI tasks
Use this automation to insert data into PostgreSQL and create Google Cloud Firestore documents from Browse AI tasks, streamlining data management across platforms.
TRY IT ->Update Airtable records based on task completion from Browse AI
This automation updates Airtable records when a task is completed in Browse AI. Streamline task management by syncing Browse AI and Airtable effortlessly.
TRY IT ->Run a Browse AI task from new RSS articles and specific data in Google Sheets
Use this template watch for new articles from RSS feeds, filter relevant rows in Google Sheets, and execute tasks with Browse AI for streamlined content management.
TRY IT ->Summarize website content and create LinkedIn posts with ChatGPT and Browse AI
Use ChatGPT and Browse AI to condense web content from monitored sites into easy-to-digest LinkedIn posts that are automatically posted. Enhance your LinkedIn presence effortlessly and achieve maximum impact with minimal effort.
TRY IT ->Search and create records in Airtable with data from Browse AI
Instantly search and create Airtable records using iterated data when a task finishes in Browse AI.
TRY IT ->Automate AI analysis of Google Analytics user and session data by country with ChatGPT
Streamline your analytics workflow with automated AI analysis of Google Analytics data, focusing on user and session metrics by country through ChatGPT. This setup enhances your decision-making by optimizing insights into key areas such as traffic fluctuations, variations in traffic by country, and forecasting future visitations. The analyzed results are conveniently sent to stakeholders via a Google Doc. This scenario automatically executes on the 1st of every month at 9 AM, ensuring timely and impactful data delivery for strategic planning.- Traffic fluctuations. - Countries with increased and decreased traffic. - Forecast expected visitations for the upcoming weeks and more. This scenario is scheduled to execute on the 1st of every month at 9am.
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How it works
Traditional no-code iPaaS platforms are linear and non-intuitive. Make allows you to visually create, build, and automate without limits.
