HumationHuman + Automation
Back to Catalog

Marketing analytics reports with Google Analytics, Sheets, Slides & email alerts

對馬　瑠斗對馬　瑠斗
363 views
2/3/2026
ExportDirectusData ExtractionAPICSV
Official Page

Automate and Distribute Weekly and Monthly Marketing Analytics Reports

Who's it for?

This workflow is designed for marketing teams, data analysts, and business owners who need to consistently track key performance indicators (KPIs). It saves hours of manual data collection and reporting, ensuring stakeholders receive timely updates automatically.

What it does

This workflow automates the entire process of creating and distributing regular analytics reports. On a recurring weekly and monthly schedule, it:

  1. Fetches Data: Gathers the latest data from Google Analytics (users, sessions, conversions), your advertising platform (ad spend), and your CRM (new customers, revenue).
  2. Calculates KPIs: Processes the raw data to calculate essential business metrics, including Monthly Active Users (MAU), Customer Acquisition Cost (CAC), Lifetime Value (LTV), LTV:CAC ratio, and conversion rates.
  3. Logs Historical Data: Appends the newly calculated KPIs to a Google Sheet, creating a historical record for trend analysis.
  4. Generates a Report: Creates a new Google Slides presentation to serve as the main report.
  5. Distributes the Report: Emails a summary of the key metrics to a predefined list of recipients, including a link to the full Google Slides report.
  6. Provides Error Alerts: If any step in the process fails, it sends an immediate notification to a designated Slack channel so you can address the issue quickly.

How to set up

  1. Configure Credentials: Add your credentials for Google Analytics, Google Sheets, Google Slides, Gmail, Slack, and the HTTP Request nodes (for your ad platform and CRM).
  2. Fill in Placeholders: In the "Workflow Configuration" node, replace all placeholder values with your specific information:
    • gaPropertyId: Your Google Analytics Property ID.
    • adPlatformApiUrl: The API endpoint for your advertising platform.
    • crmApiUrl: The API endpoint for your CRM.
    • reportSpreadsheetId: The ID of the Google Sheet where data will be stored.
    • slidesTemplateId: The ID of your Google Slides report template.
    • reportRecipients: A comma-separated list of email addresses for report distribution.
    • slackChannel: The Slack channel ID for error notifications.
  3. Activate Workflow: Turn the workflow on. It will now run based on the schedule defined in the "Weekly/Monthly Schedule" trigger node.

How to customize the workflow

  • Adjust Schedule: Modify the "Weekly/Monthly Schedule" node to change the reporting frequency (e.g., daily, bi-weekly).
  • Change Reporting Period: In the "Workflow Configuration" node, change the reportPeriodDays value to adjust the lookback window (e.g., set to 30 for a monthly report).
  • Customize KPIs: Edit the Javascript in the "Calculate KPIs (MAU, LTV, CAC)" node to add or modify metrics.
  • Enhance the Report: Expand the "Create Google Slides Report" node to dynamically add charts and data from the calculated KPIs into the slides.

Marketing Analytics Reports with Google Analytics, Sheets, Slides & Email Alerts

This n8n workflow automates the process of generating marketing analytics reports, compiling data into Google Sheets, creating Google Slides presentations, and sending out email and Slack alerts. It simplifies routine reporting tasks, ensuring stakeholders are always up-to-date with the latest performance metrics.

What it does

This workflow is designed to streamline your marketing analytics reporting:

  1. Triggers on a Schedule: The workflow starts automatically based on a predefined schedule (e.g., daily, weekly, monthly).
  2. Fetches Google Analytics Data: It retrieves specified marketing performance data from Google Analytics.
  3. Processes Analytics Data: The fetched data is then processed and transformed using a Code node, likely to format it for subsequent steps.
  4. Updates Google Sheets: The processed analytics data is appended or updated in a designated Google Sheet.
  5. Checks for Data Conditions: An If node evaluates the data, potentially checking for specific thresholds or conditions (e.g., performance drops, significant changes).
  6. Creates Google Slides Presentation (Conditional): If the conditions in the If node are met (e.g., a critical alert condition), it generates or updates a Google Slides presentation with the relevant data.
  7. Sends Email Alert (Conditional): Based on the conditions, it sends an email alert via Gmail to specified recipients.
  8. Sends Slack Alert (Conditional): Also based on the conditions, it sends a notification to a Slack channel.
  9. Sets Fields: A Set node is used to define or modify data fields at various points in the workflow, likely for consistent data formatting or to prepare data for different services.
  10. Performs HTTP Request: An HTTP Request node is included, which could be used for interacting with other APIs not directly supported by n8n nodes, or for advanced data fetching/posting.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Google Analytics Account: With access to the analytics data you wish to retrieve.
  • Google Sheets Account: To store and manage your analytics data.
  • Google Slides Account: To generate or update presentations.
  • Gmail Account: For sending email alerts.
  • Slack Account: For sending Slack notifications.
  • Google OAuth2 Credentials: Configured in n8n for Google Analytics, Google Sheets, Google Slides, and Gmail.
  • Slack API Token/Credential: Configured in n8n for sending Slack messages.

Setup/Usage

  1. Import the Workflow: Import the provided JSON into your n8n instance.
  2. Configure Credentials:
    • Set up your Google OAuth2 credentials for Google Analytics, Google Sheets, Google Slides, and Gmail nodes.
    • Set up your Slack credentials for the Slack node.
  3. Configure Google Analytics Node (ID: 435):
    • Specify the Google Analytics View ID.
    • Define the metrics and dimensions you want to retrieve.
    • Set the date range for the data.
  4. Configure Google Sheets Node (ID: 18):
    • Specify the Spreadsheet ID and Sheet name where data should be written.
    • Choose the operation (e.g., "Append Row", "Update Row").
  5. Configure Google Slides Node (ID: 478):
    • Specify the Presentation ID and any slide/element IDs for updates.
    • Define the data to be inserted or updated in the slides.
  6. Configure Gmail Node (ID: 356):
    • Specify the recipient email address(es).
    • Customize the subject and body of the email alert.
  7. Configure Slack Node (ID: 40):
    • Specify the Slack channel or user to send the message to.
    • Customize the message content for the Slack alert.
  8. Configure If Node (ID: 20):
    • Adjust the conditions based on your reporting needs (e.g., "if sessions dropped by 10%").
  9. Configure Code Node (ID: 834):
    • Modify the JavaScript code to perform any specific data transformations or calculations required for your reports.
  10. Configure Set Nodes (ID: 38):
    • Adjust the fields being set or modified as needed.
  11. Configure Schedule Trigger Node (ID: 839):
    • Set the desired schedule for the workflow to run (e.g., every Monday at 9 AM).
  12. Activate the Workflow: Once configured, activate the workflow to enable scheduled execution.

Related Templates

Track competitor SEO keywords with Decodo + GPT-4.1-mini + Google Sheets

This workflow automates competitor keyword research using OpenAI LLM and Decodo for intelligent web scraping. Who this is for SEO specialists, content strategists, and growth marketers who want to automate keyword research and competitive intelligence. Marketing analysts managing multiple clients or websites who need consistent SEO tracking without manual data pulls. Agencies or automation engineers using Google Sheets as an SEO data dashboard for keyword monitoring and reporting. What problem this workflow solves Tracking competitor keywords manually is slow and inconsistent. Most SEO tools provide limited API access or lack contextual keyword analysis. This workflow solves that by: Automatically scraping any competitor’s webpage with Decodo. Using OpenAI GPT-4.1-mini to interpret keyword intent, density, and semantic focus. Storing structured keyword insights directly in Google Sheets for ongoing tracking and trend analysis. What this workflow does Trigger — Manually start the workflow or schedule it to run periodically. Input Setup — Define the website URL and target country (e.g., https://dev.to, france). Data Scraping (Decodo) — Fetch competitor web content and metadata. Keyword Analysis (OpenAI GPT-4.1-mini) Extract primary and secondary keywords. Identify focus topics and semantic entities. Generate a keyword density summary and SEO strength score. Recommend optimization and internal linking opportunities. Data Structuring — Clean and convert GPT output into JSON format. Data Storage (Google Sheets) — Append structured keyword data to a Google Sheet for long-term tracking. Setup Prerequisites If you are new to Decode, please signup on this link visit.decodo.com n8n account with workflow editor access Decodo API credentials OpenAI API key Google Sheets account connected via OAuth2 Make sure to install the Decodo Community node. Create a Google Sheet Add columns for: primarykeywords, seostrengthscore, keyworddensity_summary, etc. Share with your n8n Google account. Connect Credentials Add credentials for: Decodo API credentials - You need to register, login and obtain the Basic Authentication Token via Decodo Dashboard OpenAI API (for GPT-4o-mini) Google Sheets OAuth2 Configure Input Fields Edit the “Set Input Fields” node to set your target site and region. Run the Workflow Click Execute Workflow in n8n. View structured results in your connected Google Sheet. How to customize this workflow Track Multiple Competitors → Use a Google Sheet or CSV list of URLs; loop through them using the Split In Batches node. Add Language Detection → Add a Gemini or GPT node before keyword analysis to detect content language and adjust prompts. Enhance the SEO Report → Expand the GPT prompt to include backlink insights, metadata optimization, or readability checks. Integrate Visualization → Connect your Google Sheet to Looker Studio for SEO performance dashboards. Schedule Auto-Runs → Use the Cron Node to run weekly or monthly for competitor keyword refreshes. Summary This workflow automates competitor keyword research using: Decodo for intelligent web scraping OpenAI GPT-4.1-mini for keyword and SEO analysis Google Sheets for live tracking and reporting It’s a complete AI-powered SEO intelligence pipeline ideal for teams that want actionable insights on keyword gaps, optimization opportunities, and content focus trends, without relying on expensive SEO SaaS tools.

Ranjan DailataBy Ranjan Dailata
161

Generate song lyrics and music from text prompts using OpenAI and Fal.ai Minimax

Spark your creativity instantly in any chat—turn a simple prompt like "heartbreak ballad" into original, full-length lyrics and a professional AI-generated music track, all without leaving your conversation. 📋 What This Template Does This chat-triggered workflow harnesses AI to generate detailed, genre-matched song lyrics (at least 600 characters) from user messages, then queues them for music synthesis via Fal.ai's minimax-music model. It polls asynchronously until the track is ready, delivering lyrics and audio URL back in chat. Crafts original, structured lyrics with verses, choruses, and bridges using OpenAI Submits to Fal.ai for melody, instrumentation, and vocals aligned to the style Handles long-running generations with smart looping and status checks Returns complete song package (lyrics + audio link) for seamless sharing 🔧 Prerequisites n8n account (self-hosted or cloud with chat integration enabled) OpenAI account with API access for GPT models Fal.ai account for AI music generation 🔑 Required Credentials OpenAI API Setup Go to platform.openai.com → API keys (sidebar) Click "Create new secret key" → Name it (e.g., "n8n Songwriter") Copy the key and add to n8n as "OpenAI API" credential type Test by sending a simple chat completion request Fal.ai HTTP Header Auth Setup Sign up at fal.ai → Dashboard → API Keys Generate a new API key → Copy it In n8n, create "HTTP Header Auth" credential: Name="Fal.ai", Header Name="Authorization", Header Value="Key [Your API Key]" Test with a simple GET to their queue endpoint (e.g., /status) ⚙️ Configuration Steps Import the workflow JSON into your n8n instance Assign OpenAI API credentials to the "OpenAI Chat Model" node Assign Fal.ai HTTP Header Auth to the "Generate Music Track", "Check Generation Status", and "Fetch Final Result" nodes Activate the workflow—chat trigger will appear in your n8n chat interface Test by messaging: "Create an upbeat pop song about road trips" 🎯 Use Cases Content Creators: YouTubers generating custom jingles for videos on the fly, streamlining production from idea to audio export Educators: Music teachers using chat prompts to create era-specific folk tunes for classroom discussions, fostering interactive learning Gift Personalization: Friends crafting anniversary R&B tracks from shared memories via quick chats, delivering emotional audio surprises Artist Brainstorming: Songwriters prototyping hip-hop beats in real-time during sessions, accelerating collaboration and iteration ⚠️ Troubleshooting Invalid JSON from AI Agent: Ensure the system prompt stresses valid JSON; test the agent standalone with a sample query Music Generation Fails (401/403): Verify Fal.ai API key has minimax-music access; check usage quotas in dashboard Status Polling Loops Indefinitely: Bump wait time to 45-60s for complex tracks; inspect fal.ai queue logs for bottlenecks Lyrics Under 600 Characters: Tweak agent prompt to enforce fuller structures like [V1][C][V2][B][C]; verify output length in executions

Daniel NkenchoBy Daniel Nkencho
601

Auto-reply & create Linear tickets from Gmail with GPT-5, gotoHuman & human review

This workflow automatically classifies every new email from your linked mailbox, drafts a personalized reply, and creates Linear tickets for bugs or feature requests. It uses a human-in-the-loop with gotoHuman and continuously improves itself by learning from approved examples. How it works The workflow triggers on every new email from your linked mailbox. Self-learning Email Classifier: an AI model categorizes the email into defined categories (e.g., Bug Report, Feature Request, Sales Opportunity, etc.). It fetches previously approved classification examples from gotoHuman to refine decisions. Self-learning Email Writer: the AI drafts a reply to the email. It learns over time by using previously approved replies from gotoHuman, with per-classification context to tailor tone and style (e.g., different style for sales vs. bug reports). Human Review in gotoHuman: review the classification and the drafted reply. Drafts can be edited or retried. Approved values are used to train the self-learning agents. Send approved Reply: the approved response is sent as a reply to the email thread. Create ticket: if the classification is Bug or Feature Request, a ticket is created by another AI agent in Linear. Human Review in gotoHuman: How to set up Most importantly, install the gotoHuman node before importing this template! (Just add the node to a blank canvas before importing) Set up credentials for gotoHuman, OpenAI, your email provider (e.g. Gmail), and Linear. In gotoHuman, select and create the pre-built review template "Support email agent" or import the ID: 6fzuCJlFYJtlu9mGYcVT. Select this template in the gotoHuman node. In the "gotoHuman: Fetch approved examples" http nodes you need to add your formId. It is the ID of the review template that you just created/imported in gotoHuman. Requirements gotoHuman (human supervision, memory for self-learning) OpenAI (classification, drafting) Gmail or your preferred email provider (for email trigger+replies) Linear (ticketing) How to customize Expand or refine the categories used by the classifier. Update the prompt to reflect your own taxonomy. Filter fetched training data from gotoHuman by reviewer so the writer adapts to their personalized tone and preferences. Add more context to the AI email writer (calendar events, FAQs, product docs) to improve reply quality.

gotoHumanBy gotoHuman
353