CRM Workflows
Create consulting client onboarding tasks with GPT-4o-mini, Google Sheets and Slack
## Who this workflow is for Consulting firms in strategy, management, or IT who want to automate client onboarding and internal task assignment. ## What this workflow does Automatically creates onboarding tasks and checklists using AI, routes them to the right consultant, logs client info in Google Sheets, and sends client welcome emails. Internal teams get Slack notifications, and kickoff meetings can be scheduled automatically. ## How the workflow works 1. New client intake triggers workflow 2. AI generates onboarding checklist 3. Tasks routed based on project type 4. Client info logged in Google Sheets 5. Slack notifications sent to consultants 6. Optional PDF of onboarding sent to client 7. Email confirmation delivered to client 8. Optional CRM integration ## Setup Instructions - Connect Webhook/Form for intake - Connect Google Sheets - Connect OpenAI - Connect Slack and email - Configure optional CRM integration **Author:** Hyrum Hurst, AI Automation Engineer **Company:** QuarterSmart **Contact:** [email protected]
Create Bosta shipping orders from Odoo invoices using OpenAI GPT models
## What Problem Does It Solve? - **Manual Data Entry Bottlenecks:** Moving shipping data from Odoo to Bosta manually is slow and prone to errors, especially during high-volume periods. - **Address Mismatches:** Odoo stores addresses as unstructured text, while Bosta requires strict Zone/District IDs. Mismatches lead to failed deliveries and returns. - **Messy Labels:** Long ERP product names look unprofessional on shipping labels. - **This workflow solves these by:** - Instantly creating the shipping order in Bosta when an Odoo invoice is confirmed. - Using an **AI Agent** to intelligently parse raw addresses and map them to the exact Bosta ID. - Ensuring the high operational standards required by automating data cleaning and COD rounding. ## How to Configure It ### 1. Odoo Setup - Create an Automation Rule in Odoo that sends a POST request to this workflow's Webhook URL when an invoice state changes to "Confirmed". ### 2. Credentials - Connect your **Odoo**, **OpenAI**, and **Telegram** accounts in the respective n8n nodes. - Add your **Bosta API Key** in the Header parameters of the `Create Bosta Order` node. ### 3. Product Mapping - Open the `Summarize Items` code node and update the `NAME_MAP` object to link your Odoo product names to short shipping labels. ### 4. Data Table - Ensure the `Fetch Zones` node is connected to your Bosta Zones/Districts data table in n8n. ## How It Works - **Trigger:** The workflow starts automatically when an invoice is confirmed in Odoo. - **Fetch & Process:** It pulls customer details and invoice items, then aggregates quantities (e.g., turning 3 lines of "Shampoo" into "Shampoo (3)"). - **AI Analysis:** The AI Agent cross-references the raw address with the official Bosta zones list to strictly select the correct IDs. - **Execution:** The order is created in Bosta. If successful, the process is complete. - **Error Handling:** If any step fails, a Telegram message is sent immediately with the invoice number to alert the **operations team**. ## Customization Ideas - **Write Back:** Add a node to update the Odoo invoice with the generated Bosta tracking number. - **Multi-Courier:** Add a switch node to route orders to different couriers (e.g., Aramex, Mylerz) based on the city. - **Campaign Logging:** Log successful shipments to a spreadsheet to track fulfillment metrics. - **Notification Channels:** Change the error alert from Telegram to Slack or Email. If you need any help [Get in Touch](https://www.linkedin.com/in/abdallaelshikh0/)
Monitor HubSpot deal risk with OpenAI scoring and Slack alerts
## How it works This workflow runs on a daily schedule to analyze all active HubSpot deals and their latest engagement activity. It applies AI-driven behavioral scoring to predict conversion probability and deal health. High-risk or stalled deals automatically trigger Slack alerts. All insights are logged in Google Sheets for forecasting and performance tracking. ## Step-by-step - **Step 1 – Trigger and collect active deals** - **Schedule Trigger** – Runs the workflow automatically at a fixed time each day. - **Get Active Deals from HubSpot** – Retrieves all non-closed deals with key properties like value, stage, and activity dates. - **Formatting Data** – Cleans and normalizes deal data while calculating metrics such as deal age and inactivity duration. - **Step 2 – Enrich deals with engagement data** - **If** – Filters only active deals to ensure closed deals are excluded. - **Loop Over Items** – Processes each deal individually to handle enrichment safely. - **HTTP Request** – Fetches engagement associations linked to each deal. - **Get an engagement** – Retrieves detailed engagement records from HubSpot. - **Extracts Data** – Structures engagement content, timestamps, and internal notes for AI analysis. - **Step 3 – Analyze risk and notify the team** - **AI Agent** – Analyzes behavioral signals and predicts conversion probability, risk level, and next actions. - **Format Data** – Parses the AI output into structured fields and risk indicators. - **Filter Alerts Needed** – Identifies deals that require immediate attention. - **Send Slack Alert** – Sends a detailed alert with risks, signals, and recommended actions. - **Append or update row in sheet** – Stores analysis results in Google Sheets for tracking and forecasting. ## Why use this? - Detect deal risk early using consistent, AI-based analysis - Reduce manual pipeline reviews for sales managers - Provide clear, actionable next steps to sales reps - Keep a historical log of deal health and forecasts - Improve close rates through timely, data-driven intervention
Send AI sales proposals and Stripe payment links after Calendly calls
# Meeting → Proposal → Payment → Follow-up Automation Categories: Sales Automation, AI Proposals, Revenue Ops This workflow automatically turns a booked sales call into a customized proposal, a Stripe payment link, and a follow-up email — without manual work. It’s designed to handle everything *after* a sales call so momentum doesn’t die. Booked call → proposal → payment → done. --- ## What This Workflow Does This automation runs the moment a sales call is booked and executes a complete post-call sales flow: - Looks up the lead in a lightweight CRM - Generates a tailored proposal using AI - Creates a Google Slides proposal deck - Creates a unique Stripe checkout link - Sends a personalized follow-up email with proposal + payment No manual copy-pasting. No delays. No forgotten follow-ups. --- ## Why This Exists Most deals are lost **after** the call — not during it. This system removes: - Manual proposal writing - Post-call follow-up delays - Inconsistent sales ops - Awkward “just following up” emails It replaces all of that with a single, reliable close flow. Human on the outside. Fully automated underneath. --- ## How It Works (High Level) ### 1. Calendly Trigger (Sales Call Booked) - Workflow starts immediately after a meeting is scheduled - Ensures proposals are sent while context is still fresh ### 2. CRM Lookup (Google Sheets) - Finds the lead using email or company name - Works even if the lead is unqualified or incomplete - Simple, transparent CRM (no heavy tooling required) ### 3. AI Proposal Generation - Uses structured inputs (problem, solution, scope, urgency, cost) - Outputs a complete proposal as strict JSON - Written in a clear, spartan, professional tone ### 4. Google Slides Proposal Creation - Copies a proposal template - Auto-fills all sections using AI output - Generates one unique proposal per lead - Shareable link created automatically ### 5. Stripe Checkout Session - Creates a unique payment link per lead - Attaches metadata (lead, company, package) - No manual invoicing required ### 6. Follow-up Email - Sends proposal + payment link immediately - Personalized with name and company - Keeps the close frictionless --- ## Tools Used - **n8n** — workflow orchestration - **OpenAI** — proposal generation - **Google Sheets** — lightweight CRM - **Google Slides** — proposal delivery - **Stripe** — payment collection - **Email (Gmail / SMTP)** — follow-up delivery - **Calendly** — trigger source --- ## Who This Is For - Automation & no-code agencies - Consultants and service businesses - Freelancers selling repeatable offers - Sales-led teams that want speed + consistency - Anyone tired of manual proposals and follow-ups --- ## Customization Notes - Swap Google Sheets for Airtable, HubSpot, or Notion - Proposal tone and structure are fully prompt-driven - Stripe metadata can be extended for analytics or CRM sync - Can support multiple triggers (Calendly, forms, manual intake) --- ## Difficulty & Cost - **Difficulty:** Intermediate (conceptually simple, operationally solid) - **Estimated setup time:** 30–45 minutes - **Ongoing cost:** OpenAI + Stripe fees only --- ## Summary This is not just a proposal generator. It’s a **post-call revenue system** that turns intent into action automatically. > Meeting → proposal → payment → follow-up > No manual steps. No dropped balls.
Create client onboarding projects, contracts and Slack channels from form data
## 📊 Description Streamline and standardize your entire client onboarding process with a single end-to-end automation. 🚀📋 This workflow captures detailed client intake data via webhook, automatically creates a fully structured Asana onboarding project, generates a personalized service contract from a Google Docs template, emails the agreement to the client, and logs all information in Google Sheets. It also creates a dedicated Slack channel for internal collaboration, ensuring every new client is onboarded consistently, professionally, and without manual effort. Perfect for service businesses scaling operations while maintaining quality and clarity. ✨📄🤝 ## 🔁 What This Template Does 1️⃣ Receives detailed client intake form data via webhook. 📥 2️⃣ Parses and normalizes 70+ client, business, and technical fields. 🧾 3️⃣ Creates a new client-specific onboarding project in Asana. 📋 4️⃣ Copies sections and tasks from a predefined Asana template project. 🔄 5️⃣ Assigns all tasks into the new project with proper structure. ✅ 6️⃣ Retrieves a Google Docs contract template. 📄 7️⃣ Replaces placeholders with client-specific details (name, fees, dates). ✍️ 8️⃣ Downloads the personalized contract as a PDF. 📑 9️⃣ Sends a welcome email to the client with the contract attached. 📧 🔟 Resets the contract template for the next onboarding. 🔁 1️⃣1️⃣ Logs all client data into Google Sheets for tracking and reporting. 📊 1️⃣2️⃣ Creates a dedicated Slack channel for internal client communication. 💬 ## ⭐ Key Benefits ✅ Eliminates manual onboarding setup and repetitive admin work ✅ Ensures consistent project structure for every client ✅ Generates error-free, personalized contracts automatically ✅ Improves client experience with instant, professional communication ✅ Centralizes client data for operations and reporting ✅ Scales onboarding without adding operational overhead ## 🧩 Features - Webhook-based client intake form processing - Advanced data parsing for large intake payloads - Asana project creation with template-based sections and tasks - Google Docs dynamic contract generation - Automated PDF download and email delivery - Google Sheets client tracking with append/update logic - Automatic Slack channel creation for internal teams - Clean reset logic for reusable document templates ## 🔐 Requirements - Asana OAuth2 credentials - Google Docs OAuth2 credentials - Google Drive OAuth2 credentials - Google Sheets OAuth2 credentials - Gmail OAuth2 credentials - Slack API credentials - Asana template project ID - Google Docs contract template ID - Google Sheets tracking document ID ## 🎯 Target Audience - Service-based businesses onboarding new clients - Agencies managing multi-step client engagements - Operations and delivery teams - SaaS or healthcare service providers with complex intake forms - Automation teams building scalable onboarding systems
Turn Gmail meeting summaries into HubSpot CRM records with OpenAI
## How it works This workflow listens for incoming meeting summary emails in Gmail and processes them automatically. The email content is cleaned and sent to an AI model that extracts CRM-ready sales data in a structured format. The parsed data is then used to create or update contacts, deals, and meeting engagements in HubSpot. This removes manual note-taking and ensures CRM data stays accurate and consistent after every call. ## Step-by-step - **Trigger on meeting summary email** - **Gmail Trigger** – Watches the inbox for new meeting summary emails from a specific sender. - **Prepare and normalize meeting notes** - **Prepare Meeting Summary** – Extracts the meeting text and stores it in a clean summary field for AI processing. - **Extract structured sales insights** - **AI Extraction** – Sends the meeting summary to an AI model to identify company details, problems, budget, decision makers, timing, competitors, and next steps. - **Parse AI response** - **Parse AI JSON Output** – Validates and converts the AI response into structured JSON fields usable by CRM nodes. - **Update HubSpot CRM** - **Create or Update Contact** – Creates a new contact or updates an existing one based on extracted details. - **Update Deal** – Updates the related deal with budget, description, stage, and pipeline information. - **Create Meeting Engagement** – Logs a meeting engagement in HubSpot with key discussion points and next actions. ## Why use this? - Eliminates manual CRM updates after sales or discovery calls. - Ensures meeting insights are captured consistently and accurately. - Reduces admin work for sales teams and improves data quality. - Works seamlessly with meeting recap tools that send summary emails. - Scales easily as meeting volume increases without extra effort.
Score HubSpot deal conversion risk with OpenAI and Slack alerts
## How it works This workflow runs daily to review all active deals and evaluate their likelihood of closing successfully. It enriches deal data with recent engagement activity and applies AI-based behavioral scoring to predict conversion probability. High-risk or stalled deals are flagged automatically. Actionable alerts are sent to the sales team, and all analysis is logged for forecasting and tracking. ## Step-by-step - **Trigger and fetch deals** - **Schedule Trigger** – Runs the workflow automatically at a fixed time each day. - **Get Active Deals from HubSpot** – Retrieves all open, non-closed deals with key properties. - **Formatting Data** – Normalizes deal fields such as value, stage, age, contacts, and activity dates. - **Enrich deals with engagement data** - **If** – Filters only active deals for further processing. - **Loop Over Items** – Processes each deal individually. - **HTTP Request** – Fetches engagement associations for the current deal. - **Get an engagement** – Retrieves detailed engagement records from HubSpot. - **Extracts Data** – Structures engagement content, timestamps, and metadata for analysis. - **Analyze risk, alert, and store results** - **OpenAI Chat Model** – Provides the language model used for analysis. - **AI Agent** – Evaluates behavioral signals, predicts conversion probability, and recommends actions. - **Format Data** – Parses AI output into structured, machine-readable fields. - **Filter Alerts Needed** – Identifies deals that need immediate attention. - **Send Slack Alert** – Sends detailed alerts for high-risk or stalled deals. - **Append or update row in sheet** – Logs analysis results into Google Sheets for reporting. ## Why use this? - Automatically identify high-risk deals before they stall or fail - Give sales teams clear, data-driven next actions instead of raw CRM data - Improve forecasting accuracy with AI-powered probability scoring - Maintain a historical deal health log for audits and performance reviews - Reduce manual pipeline reviews while increasing response speed
Send seasonal WooCommerce sales trend reports to Slack and Google Sheets
# WooCommerce Seasonal Sales Planning & Monitor → SET Pattern Compare → Slack This workflow automatically aggregates sales data, calculates performance trends (Revenue & Orders) against previous months and years, identifies the top-selling SKU and sends a strictly formatted, professional summary report to Slack. This workflow runs on a schedule (e.g., daily or weekly) to generate a snapshot of your business performance. It fetches sales data from your database or e-commerce platform, calculates growth percentages (vs. Month, vs. Year), formats the data into a clean JSON structure and sends a structured report to Slack without unnecessary clutter or emojis. You receive: * **Automated comparison of Revenue & Order counts** * **Trend analysis (Percentage change & directional trend)** * **Identification of the Top Performing SKU** * **A clean, professional Slack alert for team visibility** Ideal for management teams needing a quick, data-driven pulse check on store performance without manually running reports. ### Quick Start – Implementation Steps 1. Add your **Database or API Credentials** (e.g., Postgres, Shopify, WooCommerce) in the data fetching nodes. 2. Connect your **Slack** account credentials and select the target channel. 3. Ensure your data source provides `current`, `vsMonth` and `vsYear` metrics (or use the calculation nodes provided). 4. Review the **Slack Node** to ensure the JSON block formatting matches your preference. 5. Activate the workflow — automated reporting begins instantly. ## What It Does This workflow automates the generation of your business trend report: 1. **Trigger:** Starts automatically based on a schedule (e.g., every morning at 8 AM). 2. **Fetch Data:** Retrieves raw sales numbers for the current period, previous month and previous year. 3. **Process Trends:** Calculates the percentage difference and determines the trend direction (Increase, Flat, Decrease). 4. **Identify Top SKU:** Sorts product sales to find the highest-performing item of the period. 5. **Format Report:** Constructs a strict JSON object containing: * Revenue (Current, vs Month, vs Year) * Orders (Current, vs Month, vs Year) * Top SKU Name 6. **Send Slack Alert:** Pushes a cleanly formatted message (using Block Kit or Markdown) to your team channel. This ensures your team focuses on the numbers that matter, with zero manual effort. ## Who’s It For This workflow is ideal for: * E-commerce Store Owners * Sales & Marketing Managers * Data Analysts * Operations Teams * Executive leadership requiring daily snapshots * Teams preferring data-heavy, emoji-free reports ## Requirements to Use This Workflow To run this workflow, you need: * **n8n instance** (cloud or self-hosted) * **Data Source** (PostgreSQL, MySQL, Shopify, WooCommerce or Google Sheets) * **Slack workspace** with API permissions (Webhook or Bot Token) * Basic understanding of JSON structure for Slack Block Kit ## How It Works 1. **Scheduled Trigger** – Initiates the workflow at a specific time. 2. **Get Sales Data** – Queries your backend to get the raw numbers. 3. **Calculate Logic** – Compares current numbers vs. historical data to generate percentages. 4. **Create Report Object** – Maps the values into a standardized JSON format (e.g., `revenue.current`, `orders.vsYear`). 5. **Format Message** – Converts the JSON object into a Slack-readable text block or UI block. 6. **Send Notification** – Posts the final report to Slack. ## Setup Steps 1. Import the provided n8n JSON file. 2. Open the **Data Fetch** nodes and configure your database/API connection. 3. Ensure your query returns the necessary fields (Revenue Orders, SKU). 4. Verify the **Format Data** node is correctly mapping your variables to the JSON structure: * `{{ $json["revenue"]["current"] }}` * `{{ $json["orders"]["vsMonth"]["percent"] }}` 5. Connect **Slack API** credentials and choose your channel. 6. Run a test execution to verify the numbers appear correctly in Slack. 7. Activate the workflow — done! ## How To Customize Nodes ### Customize Report Metrics Modify the **Set/Calculation** nodes: * Add Average Order Value (AOV) * Include Customer Acquisition Cost (CAC) * Change the comparison period (e.g., vs Last Week instead of Month) ### Customize Slack Layout You can modify the JSON in the Slack node to: * Use **Block Kit** for a table-like structure (columns for Revenue/Orders) * Use **Plain Text** for a simple list view * Add or remove bold formatting (`*bold*`) * Add a "View Dashboard" button link ### Customize Data Source Replace the generic database node with: * **Shopify Node** (Get Orders) * **WooCommerce Node** (Get Sales Report) * **Stripe Node** (Get Balance Transactions) * **Google Sheets** (Read Row) ## Add-Ons (Optional Enhancements) You can extend this workflow to: * Send reports to **Email** or **Microsoft Teams** in addition to Slack. * Generate a PDF report using an HTML-to-PDF service. * Save the daily snapshot into a "History" table in Airtable/Database. * Add conditional alerts (e.g., @mention the CEO if Revenue drops by >20%). * Integrate with OpenAI to write a qualitative analysis of the trends. ## Use Case Examples ### 1. Morning Standup Report Delivers key metrics to the team channel 15 minutes before the daily meeting. ### 2. Performance Monitoring Quickly identifies if a new marketing campaign is driving order volume. ### 3. Inventory Awareness Highlights the "Top SKU" so the warehouse team knows what is moving fast. ### 4. Executive Summaries Provides leadership with a noise-free, "just the numbers" view of the business. ## Troubleshooting Guide | Issue | Possible Cause | Solution | | :--- | :--- | :--- | | **"N/A" in Trend** | No historical data found | Ensure database has data for previous month/year | | **Slack formatting broken** | Invalid JSON syntax | Check quotes and brackets in Slack node | | **Wrong Top SKU** | Sorting logic incorrect | Verify the "Sort" node is ordering by Count DESC | | **Authentication Error** | Slack token expired | Re-connect Slack credentials in n8n | | **Workflow not running** | Schedule disabled | Toggle "Active" switch to ON | ## Need Help? If you need help customizing or extending this workflow — integrating specific ERPs, creating complex visual dashboards or scaling your data reporting, feel free to contact our [n8n workflow development](https://www.weblineindia.com/n8n-automation/) experts at **WeblineIndia**. We are happy to assist you with advanced automation solutions.
Identify and notify WooCommerce VIP customers with Airtable and Slack
# WooCommerce VIP Customer Automation This workflow automatically identifies VIP customers from your WooCommerce store based on their total spending and number of completed orders. It pulls new orders on a schedule, filters valid transactions, groups customers, calculates their VIP tier, stores them into Airtable and notifies your team in Slack.It removes all manual checking and ensures your team instantly knows when a high-value customer places an order. ### Quick Start – Implementation Steps 1. Add your WooCommerce store domain and API credentials inside n8n. 2. Configure Airtable and Slack credentials. 3. Adjust VIP rules (lifetime spend or total orders) if needed. 4. Activate the workflow — it will automatically detect VIPs and alert your team. ## What It Does This workflow fully automates VIP customer detection for WooCommerce stores. Every few minutes, it retrieves new orders via WooCommerce API. It filters only processing or completed orders and extracts essential fields such as customer ID, customer name order total and timestamps. The workflow then groups orders by customer to ensure duplicate orders don’t inflate metrics. For each customer, it fetches their complete order history, calculates lifetime value, counts total paid orders and assigns a VIP tier (Platinum, Gold or Silver). Once a customer qualifies, their details are saved into Airtable for tracking. A Slack message is simultaneously sent to inform your team so they can take immediate action — such as providing priority support, follow-up messages or special offers. This system runs completely on its own and keeps customer insights up-to-date without manual checks. ## Who’s It For This workflow is ideal for: * WooCommerce store owners * Customer support teams * Marketing teams * CRM & retention specialists * eCommerce operations teams * Businesses wanting automated VIP alerts ## Requirements to Use This Workflow You will need: * A running **n8n instance** (cloud or self-hosted) * A **WooCommerce store** with API keys * A **Slack workspace** with API permissions * An **Airtable Base** to store VIP customers * Basic understanding of WooCommerce and Airtable fields ## How It Works 1. **Scheduled Trigger** – Runs every few minutes to check for new orders. 2. **Domain Setup** – Assigns the WooCommerce store domain used across API calls. 3. **Fetch Orders** – Retrieves all orders from WooCommerce. 4. **Filter Valid Orders** – Only keeps completed or processing orders. 5. **Format & Clean Data** – Extracts only key order details. 6. **Deduplicate Customers** – Only the first order per customer is processed. 7. **Fetch Order History** – Gets lifetime order history for each customer. 8. **Calculate VIP Tier** – Determines Platinum/Gold/Silver based on spend or order count. 9. **Filter VIP Only** – Removes customers who do not qualify. 10. **Save to Airtable** – Creates/updates VIP records. 11. **Notify Team on Slack** – Sends VIP alerts instantly. ## Setup Steps 1. Import this workflow JSON into n8n. 2. Enter your WooCommerce API credentials in the HTTP Request nodes. 3. Update the **wc\_domain** value in the “Set WooCommerce Domain” node. 4. Configure Airtable credentials and select your Base + Table. 5. Set your Slack channel ID inside the Slack node. 6. Adjust VIP rules inside the “Calculate VIP Tier” code node if needed. 7. Activate the workflow — it will now run automatically. ## How to Customize Nodes ### Adjust VIP Rules Edit the logic inside **Calculate VIP Tier**: * Change Platinum threshold (₹20,000 or your value) * Change Gold rule (5 orders or more) * Add new VIP tiers ### Customize Airtable Fields You can modify: * Table columns * Field naming * Additional customer details ### Customize Slack Alerts In the Slack node, change: * Message format * Channel ID * Emoji, headings or urgency indicators ## Add-Ons (Optional Enhancements) You can extend this workflow with: * Automatic email to VIP customers * Loyalty point calculation * Google Sheets export * Integration with CRM platforms * Send SMS notifications * Separate VIP tiers into dedicated Slack channels ## Use Case Examples 1. **Notify support about high-value customers** 2. **Track customers crossing spending milestones** 3. **Identify loyal customers with 5+ repeat purchases** 4. **Automatically sync VIP customers to CRM** 5. **Trigger loyalty coupon generation** ## Troubleshooting Guide | Issue | Possible Cause | Solution | |---------------------------|--------------------------------------------------|--------------------------------------------------------------| | No orders fetched | Wrong domain or API keys | Update WooCommerce credentials | | VIP not detected | Customer has low spend or low orders | Verify VIP rules in “Calculate VIP Tier” | | Airtable record not created | Incorrect table schema | Match Airtable fields with node mapping | | Slack alert missing | Wrong Slack channel ID or credentials | Re-check Slack authentication | | Guest users included | Missing customer_id filter | Ensure customer_id != 0 condition stays in place | ## Need Help? If you need assistance integrating this workflow, customizing VIP rules or adding new automations, our automation team at **WeblineIndia** is happy to help. You can also extend this system with loyalty engines, advanced analytics, multi-store support or any custom automation tailored for your eCommerce business.
Analyze and improve Zoho CRM sales cycles with GPT-4, Google Sheets and Slack
# Zoho CRM Sales Cycle Performance Analyzer & Improver This workflow automatically analyzes your Zoho CRM deal cycles with **AI-powered intelligence**, compares them against historical performance data from Google Sheets, and delivers actionable insights to Slack. It identifies bottlenecks, predicts outcomes, analyzes sentiment, generates smart recommendations, creates data visualizations, and builds a historical dataset for future intelligence—all without manual reporting. ### Quick Implementation Steps 1. **Connect Accounts**: Set up credentials for Zoho CRM, Google Sheets, Slack, and **OpenAI** in n8n. 2. **Prepare Sheet**: Create a Google Sheet with headers: `Deal_Name`, `Stage`, `Created_Time`, `Closed_Time` (or `Modified_Time`). 3. **Configure Nodes**: * **Zoho Trigger**: Ensure it pulls your deals. * **Google Sheets**: Link your "Historical Data" sheet to both the "Fetch" and "Log" nodes. * **OpenAI Nodes**: Configure your OpenAI API key for AI analysis. * **Slack**: Select your `#sales-insights` channel. 4. **Activate**: Turn on the workflow to start receiving **AI-enhanced** real-time insights on deal closure. ## What It Does This n8n workflow serves as an **AI-powered automated data analyst** for your sales team. Whenever a deal is fetched from Zoho CRM, the workflow first filters for relevance (e.g., recently closed or modified deals). It then cross-references this specific deal against your historical sales data stored in Google Sheets to calculate key performance metrics like "Days to Close" and "Stage Dwell Time." **🤖 AI-Enhanced Features:** - **Sentiment Analysis**: Analyzes deal descriptions and communications for emotional tone and risk indicators - **Predictive Analytics**: Uses historical patterns to predict win probability and expected close dates - **Smart Recommendations**: Generates AI-powered, data-driven process improvement suggestions - **Data Visualization**: Creates charts and trend analysis for performance metrics - **Performance Scoring**: Calculates comprehensive performance scores and risk levels Beyond simple calculations, the workflow applies **AI intelligence** to generate human-readable insights. It determines if a deal was faster or slower than average, identifies which stage caused delays, analyzes sentiment for risk assessment, predicts outcomes, and suggests specific process improvements based on the data. Finally, it closes the loop by broadcasting these **AI-enhanced** focused insights to a Slack channel for immediate team visibility and logging the new deal's performance back into Google Sheets. This ensures your historical dataset grows richer and more accurate with every closed deal, continuously improving the quality of future AI predictions. ## Who’s It For * **Sales Managers**: To monitor team performance and identify coaching opportunities without digging into CRM reports. * **RevOps Professionals**: To automate the collection of cycle-time data and spot process bottlenecks. * **Small Business Owners**: To get enterprise-grade sales analytics without hiring a data analyst. * **Sales Teams**: To get immediate feedback on their wins and losses, fostering a culture of continuous improvement. ## Prerequisites * **n8n Instance**: A self-hosted or cloud version of n8n. * **Zoho CRM Account**: With permission to read Deals. * **Google Account**: Access to Google Sheets. * **Slack Workspace**: Permission to post messages to channels. * **OpenAI Account**: API access for GPT-4 model integration. * **Google Sheet**: A formatted sheet to store and retrieve historical deal data. ## How to Use & Setup ### 1. Google Sheet Setup Create a new Google Sheet. In the first row, add the following headers (the workflow tries to match various case formats, but these are recommended): * `Deal_Name` * `Stage` * `Created_Time` * `Closed_Time` * `Stage_History` (Optional, for advanced dwell time analysis) ### 2. Configure Credentials In your n8n dashboard, ensure you have authenticated: * Zoho CRM * Google Sheets * Slack * **OpenAI** (for AI-powered analysis) ### 3. Node Configuration * **Zoho CRM - Deal Trigger**: This node is set to "Get All" deals. You might want to adjust this to a Trigger node that listens for "Deal Updated" or "Deal Created" events for real-time automation, or keep it as a scheduled poll. * **Filter Recent Deals (Code Node)**: Currently configured to process deals closed in the last 7 days and limit to 10 items. No changes needed unless you want to process larger batches. * **Fetch Historical Averages (Google Sheets)**: * Select your Credential. * **Resource**: Document -> Select your prepared Sheet. * **Operation**: Get Many ("GetAll" or "Read"). * **Return All**: True. * **AI Sentiment Analysis (OpenAI)**: * Select your OpenAI Credential. * **Model**: GPT-4 (recommended for best results). * Automatically analyzes deal sentiment and emotional tone. * **AI Predictive Analytics (OpenAI)**: * Uses historical data to predict outcomes and win probabilities. * Provides risk assessment and expected close dates. * **AI Smart Recommendations (OpenAI)**: * Generates intelligent, context-aware recommendations. * Prioritizes suggestions based on impact and feasibility. * **Advanced Data Visualization**: * Creates charts for cycle trends, stage distribution, and performance metrics. * Generates data for visual analysis and reporting. * **Slack Notification**: * Select your Credential. * **Channel**: Enter the name of your channel (e.g., `#sales-insights`). * Now includes **AI-enhanced insights** in the message format. * **Log to Historical Sheet (Google Sheets)**: * Select your Credential. * **Resource**: Document -> Select the *same* sheet as above. * **Operation**: Append. ### 4. Running the Workflow * **Test**: Click "Execute Workflow" manually to test with the "Zoho CRM - Deal Trigger" (conceptually acting as a manual fetch here). * **Production**: Switch the trigger to a legitimate *Schedule Trigger* (e.g., run every morning) or a *Zoho CRM Trigger* (Real-time) to automate the process. ## How To Customize Nodes ### Adjusting the Risk/Insight Logic The core intelligence lives in the **Analyze Cycle** code node. You can modify the JavaScript here to change thresholds. * **Change "Slow" Threshold**: Look for `if (totalDays > avgDays * 1.25)`. Change `1.25` to `1.5` to only flag deals that are 50% slower than average. * **custom Suggestions**: Add new `if` statements in the `// Process improvement suggestions` section to add your own coaching advice based on specific stages or owners. ### Customizing AI Prompts The AI nodes use specific prompts that can be customized: * **AI Sentiment Analysis**: Modify the prompt in the OpenAI node to focus on specific aspects (e.g., competitor mentions, pricing concerns). * **AI Predictive Analytics**: Adjust the prediction criteria or add custom factors relevant to your business. * **AI Smart Recommendations**: Customize the recommendation style or focus on specific business objectives. ### Changing the Output Format The **Slack Notification** node uses a template. You can customize the message layout by editing the `Text` field. You can use standard Slack markdown (e.g., `*bold*`, `_italics_`) and add variables from specific fields in your CRM (like "Lead Source" or "Competitor"). ### AI Model Configuration * **Model Selection**: Change from GPT-4 to GPT-3.5-turbo for faster processing (slightly less accurate). * **Temperature Adjustment**: Modify creativity level in AI responses (0.0 = deterministic, 1.0 = highly creative). * **Token Limits**: Adjust response length for more detailed or concise AI outputs. ## Add‑ons To extend the functionality of this workflow, consider adding: * **Weekly Report Email**: Add an "Email" node at the end to send a summary digest to the CEO every Friday. * **Manager Alert**: Add an `IF` node before Slack to tag the Sales Manager (`@user`) only if the `totalDays` exceeds 60 days or if AI risk level is "High". * **CRM Update**: Write the calculated "Days to Close" and **AI predictions** back into custom fields in Zoho CRM so you can report on it directly inside Zoho. * **Dashboard Integration**: Send visualization data to tools like Grafana or Power BI for real-time dashboards. * **Competitor Analysis**: Add AI node to analyze deal descriptions for competitor mentions and market trends. ## Use Case Examples ### 1. Post-Mortem on Lost Deals When a deal is marked "Closed Lost," the workflow calculates how long it sat in each stage. **AI sentiment analysis** detects negative communication patterns, and the Slack alert highlights this bottleneck, prompting a review of the negotiation strategy. ### 2. Celebrating Efficiency A deal closes in 15 days when the average is 45. The workflow identifies this anomaly, calculates it is "66% faster than average," **AI predicts high success factors**, and posts a celebratory message, asking the rep to share what worked. ### 3. Reviewing Stalled Deals By changing the trigger to look for *open* deals, you can use this logic to flag active deals that have already exceeded the average winning cycle time, signaling they are "at risk." **AI predictive analytics** provides win probability for each stalled deal. ### 4. Onboarding Usage New sales reps can see immediate feedback on their deals compared to the company historical average, helping them calibrate their pace without constant manager intervention. **AI recommendations** provide personalized coaching tips. ### 5. Product/Service Specific Analysis Duplicate the workflow and filter by "Product Type" in the Code node. Maintain separate Google Sheets for "Enterprise" vs "SMB" deal cycles to get more accurate baselines for different business lines. **AI sentiment analysis** can identify product-specific communication patterns. ### 6. AI-Enhanced Deal Scoring **NEW**: The workflow now provides AI-powered deal scoring, sentiment-based risk assessment, and predictive win probabilities, enabling sales teams to prioritize high-potential deals and focus resources effectively. ## Troubleshooting Guide | Issue | Possible Cause | Solution | | :--- | :--- | :--- | | **No insights generated** | Google Sheet is empty or headers don't match. | Ensure your Google Sheet has at least one row of valid historical data with matching headers (`Created_Time`, `Closed_Time`). | | **"Invalid Date" errors** | Date formats in Zoho or Sheets are inconsistent. | Check that your system regional settings match. The Code node expects standard date strings. | | **Slack message is empty** | `Deal_Name` or sensitive data is missing. | The "Check Valid Data" node filters out incomplete records. Ensure your test deals have a Name and timestamps. | | **Workflow times out** | Too many deals being processed. | The "Filter Recent Deals" node limits to 10 items. If you remove this limit, n8n may timeout on large datasets. Keep the batch size small. | | **Google Sheets Error** | Authentication or Sheet ID missing. | Re-authenticate your Google account and re-select the Document and Sheet from the list in the node settings. | | **AI nodes not working** | OpenAI API key missing or invalid. | Configure your OpenAI credentials in n8n settings and ensure the API key has sufficient credits. | | **AI responses too slow** | Using GPT-4 with large datasets. | Switch to GPT-3.5-turbo for faster processing, or reduce the amount of data sent to AI nodes. | | **Sentiment analysis inaccurate** | Limited deal description data. | Ensure your Zoho deals have meaningful descriptions and communication logs for better sentiment analysis. | | **Predictions seem wrong** | Insufficient historical data. | AI predictions improve with more historical data. Ensure at least 50+ historical deals for accurate predictions. | ## Need Help? Setting up custom analytics or complex logic in Code nodes can be tricky. If you need help tailoring this workflow to your specific business rules, creating advanced Add-ons or integrating with other CRMs: [**Contact WeblineIndia**](https://www.weblineindia.com/contact-us.html) We specialize in building robust business process automation solutions. Whether you need a simple tweak or a fully custom enterprise automation suite, our experts are ready to assist. Reach out to us today to unlock the full potential of your sales data!
Validate, deduplicate, and store customers via API with Supabase, Slack, Telegram, and email
# (Retail) Customer Cleanup API → Supabase and send Notification This workflow provides an API-first solution to validate, clean, deduplicate and store customer data in Supabase. It ensures consistent customer records, prevents duplicates and keeps both internal teams and customers informed through automated notifications. This workflow acts as a backend customer intake API. It validates and normalizes incoming customer data, checks for existing users in Supabase, stores new customers safely and returns clear API responses. Internal teams receive Slack and Telegram updates, while customers get an email confirmation on successful creation. You receive: * **Centralized customer data validation** * **Automatic duplicate prevention** * **Supabase-backed customer storage** * **Real-time API responses** * **Team notifications + user confirmation email** Ideal for retail, e-commerce and SaaS teams that want clean customer data without manual intervention. ### Quick Start – Implementation Steps 1. Import the provided **n8n workflow JSON**. 2. Configure **Supabase credentials** with read/write access. 3. Connect **Slack**, **Telegram** and **Gmail/SMTP** credentials. 4. Copy the **Webhook URL** and use it as your customer intake API. 5. Activate the workflow — your customer API is live. ## What It Does This workflow automates customer data intake and processing: 1. Receives customer data via a POST API call. 2. Cleans and normalizes names, email and phone numbers. 3. Validates required fields and formats using JavaScript. 4. Aggregates clear, field-specific validation errors. 5. Checks Supabase to prevent duplicate users. 6. Stores valid, new customers in Supabase. 7. Returns structured API responses (success, validation error or duplicate). 8. Sends notifications to Slack and Telegram. 9. Emails the customer after successful account creation. This ensures reliable, consistent customer records across systems. ## Who’s It For This workflow is ideal for: * Retail and e-commerce platforms * CRM and customer data teams * SaaS product teams * Backend automation teams * Marketing teams needing clean contact lists * Developers building API-driven systems ## Requirements to Use This Workflow To run this workflow, you need: * **n8n instance** (cloud or self-hosted) * **Supabase project** with a `customers` table * Supabase **service role key** * **Slack workspace** with API access * **Telegram bot** + chat ID * **Gmail or SMTP account** for user notifications ## How It Works 1. **API Request** – Client sends customer data to the webhook endpoint. 2. **Validation & Cleanup** – JavaScript validates and formats data. 3. **Validation Fail** – Returns 400 response with clear error messages. 4. **Duplicate Check** – Supabase is queried using the email address. 5. **Duplicate Found** – Returns 409 response without creating a record. 6. **Create Customer** – New customer is saved in Supabase. 7. **Success Response** – API confirms successful creation. 8. **Notifications** – Slack, Telegram and customer email are triggered. ## Setup Steps 1. Create a Supabase table with fields for customer data, validation status and errors. 2. Add Supabase credentials to n8n. 3. Import the workflow JSON into n8n. 4. Configure the Webhook node and copy the API URL. 5. Review the validation logic if custom rules are required. 6. Configure Slack, Telegram and email credentials. 7. Test using Postman for invalid, duplicate and valid requests. 8. Activate the workflow. ## How To Customize Nodes ### Customize Validation Rules Update the JavaScript validation node to add country-specific phone rules or additional fields. ### Customize Duplicate Logic Extend duplicate checks to include phone numbers or other identifiers. ### Customize Notifications Modify Slack and Telegram messages, add emojis, mentions or execution metadata. ## Add-Ons (Optional Enhancements) You can extend this workflow to: * Add API key authentication * Enable rate limiting * Log failed attempts separately * Support multi-country phone validation * Add CRM or email marketing sync * Implement soft deletes or upserts ## Use Case Examples ### 1. Customer Registration API Centralize customer creation for web and mobile apps. ### 2. Data Hygiene Automation Prevent invalid or duplicate contacts in your database. ### 3. Retail & CRM Integration Keep customer records consistent across systems. ### 4. Marketing Readiness Ensure only clean, valid contacts enter campaigns. ## Troubleshooting Guide | Issue | Possible Cause | Solution | | ----------------------- | ----------------------------- | ----------------------------------- | | Validation always fails | Incorrect payload structure | Ensure data is sent in request body | | Duplicate user created | Duplicate check misconfigured | Verify Supabase filter conditions | | No Slack alert | Invalid credentials | Reconnect Slack API | | No email sent | Gmail/SMTP not configured | Verify sender account | | API not responding | Webhook not active | Activate the workflow | ## Need Help? If you need help customizing or extending this workflow, adding authentication, scaling for high traffic, integrating CRMs or enhancing validation, the n8n automation team at **WeblineIndia** can assist you with production-ready automation and integration support. Contact us today.
Analyze lost HubSpot deals and generate revival strategies with OpenAI
## How it works This workflow runs on a daily schedule to analyze all Closed–Lost deals from your CRM and uncover the true reason behind each loss. It uses AI to classify the primary loss category, generate a confidence-backed explanation, and then create a realistic re-engagement strategy for every deal. All insights are consolidated into leadership-ready email and Slack summaries. Every analyzed deal and revival plan is logged for long-term tracking and audits. ## Step-by-step - **Trigger and fetch lost deals** - **Schedule Trigger** – Runs the workflow automatically at a defined time. - **Get many deals** – Fetches all deal records from the CRM. - **If** – Filters only deals marked as Closed–Lost. - **Edit Fields** – Standardizes key deal attributes like amount, industry, owner, and loss reason. - **Analyze loss reasons and generate revival strategies** - **Brief Explanation Creator** – Uses AI to identify the primary loss category with confidence. - **Code in JavaScript** – Parses and normalizes AI loss analysis output. - **Merge** – Combines deal data with loss insights. - **Feedback Creator** – Generates a practical re-engagement strategy for each lost deal. - **Code in JavaScript7** – Parses and safeguards revival strategy outputs. - **Merge4** – Merges deal details, loss analysis, and revival strategy into one final dataset. - **Report, notify, and store results** - **Code in JavaScript11** – Builds a consolidated HTML summary email. - **Send a message4** – Sends the summary to stakeholders via email. - **Code in JavaScript12** – Creates a structured Slack summary. - **Send a message1** – Delivers insights to a Slack channel. - **Code in JavaScript10** – Reconstructs final data with delivery status. - **Append or update row in sheet** – Logs all results into Google Sheets for audit and tracking. ## Why use this? - Turns lost deals into actionable learning instead of static CRM records - Gives sales teams clear, realistic re-engagement plans without manual analysis - Provides leadership with concise, decision-ready summaries - Creates a historical database of loss reasons and revival outcomes - Improves pipeline recovery while enforcing consistent sales intelligence
Manage your Shopify store via AI assistant with OpenAI and MCP server
## Who it's for This **n8n workflow** is designed for Shopify store owners and e-commerce managers who want to automate their store operations through an intelligent AI assistant. The workflow creates a conversational interface that can manage products, process orders, and provide store analytics through natural language commands. ## Features - **Intelligent AI Assistant**: Powered by OpenAI with specialized system prompts for e-commerce operations - **Shopify Integration**: Complete MCP (Model Context Protocol) server implementation for seamless Shopify operations - **Product Management**: Create, update, search, retrieve, and delete products automatically - **Order Processing**: Create, update, retrieve, and manage orders including fulfillment status - **Context-Aware Automation**: Uses conversation history and Shopify data to minimize user input requirements ## Requirements - **Shopify Access Token**: For accessing Shopify store data and operations - **OpenAI API Credentials**: For powering the AI assistant - **Notification Service Credentials**: `Discord Bot API`, `Telegram Bot API`, `Rapiwa API (for WhatsApp)`, `Gmail OAuth2` #### Configure Credentials - **Shopify Access Token**: Configure with proper permissions for your store - **OpenAI API**: Set up with appropriate model access (gpt-4.1-mini or similar) - **Notification Services**: Configure each service with proper API keys and target IDs ## Important Notes - **MCP Server Setup**: The workflow includes a Shopify MCP Server that must be properly configured for production use - **Tool Selection**: The MCP Client includes specific Shopify tools that can be enabled/disabled based on requirements - **System Prompt**: The AI assistant is configured with specialized e-commerce guidelines that can be customized - **Confirmation Requirements**: Irreversible actions like deletions will require confirmation - **Rate Limiting**: The workflow includes appropriate delays to prevent API rate limiting - **Notification Content**: All notifications include a standard success message that can be customized ## Production Deployment for MCP Server `To deploy this workflow in production` ## Support & Help - **WhatsApp**: [Chat on WhatsApp](https://wa.me/8801322827799) - **Discord**: [SpaGreen Community](https://discord.gg/SsCChWEP) - **Facebook Group**: [SpaGreen Support](https://www.facebook.com/groups/spagreenbd) - **Website**: [https://spagreen.net](https://spagreen.net) - **Developer Portfolio**: [Codecanyon SpaGreen](https://codecanyon.net/user/spagreen/portfolio)
Send sales forecast charts and answer Q&A on WhatsApp with OpenAI
## How It Works ***Top Branch Workflow*** **1. The Data Scientist:** - **Ingest:** Pulls historical sales data from Google Sheets. - **Math Engine:** Runs 7 statistical algorithms (e.g., Seasonal Naive, Linear Trend, Regression). It backtests them against your history and scientifically selects the winner with the lowest error rate. **2. The Data Analyst:** - **Interpret:** The AI Agent takes the mathematical output and translates it into business insights, assigning confidence scores based on error margins. - **Report:** Generates a visual trend chart (PNG) and sends a complete briefing to your phone. ***Bottom Branch Workflow*** **3. The Consultant:** AI Agent 2 handles the follow-up questions. It pulls the latest analysis context and checks historical rate data to give an informed answer. - **Recall:** When you ask a question via WhatsApp, the bot retrieves the saved forecast state. - **Answer:** It acts as an on-demand analyst, comparing current forecasts against historical actuals to give you instant answers. ## Setup Steps 1) Google Sheet: Prepare columns: Year, Month, Sales. Map the Sheet ID in the "Workflow Configuration" node. 2) Forecast Engine: No config needed. It automatically detects seasonality vs. linear trends. 3) Database: Create a table latest_forecast to store the JSON output. 4) Credentials: Connect Google Sheets, OpenAI, and WhatsApp ## Use Cases & Benefits **For Business Owners:** Gain enterprise-grade forecasting on autopilot. Always have a sophisticated financial outlook running in the background 24/7. **For Sales Leaders:** Get immediate visibility into future revenue trends. Bypass the wait for end-of-month manual reports and get a strategic "pulse check" delivered instantly to your phone. 🤖***Virtual Data Team:*** Instantly add the capabilities of a Data Scientist and Data Analyst to your business or division. It works alongside your existing team to handle the heavy lifting, or stands in as your dedicated automated department. 🧠***Precision & Trust:*** Combines the best of both worlds: rigorous, deterministic code for the math (no hallucinations) and advanced AI for the strategic explanation. You get numbers you can trust with context you can use. ⚡***Decision-Ready Insights:*** Stop digging through dashboards. High-level intelligence is pushed directly to you on WhatsApp, allowing you to make faster, data-driven decisions from anywhere. ## 📬 Want to Customize This? [[email protected]]([email protected])
Monitor WooCommerce daily revenue spikes and send Slack alerts
# WooCommerce Daily Sales & Revenue Spike Monitor → Slack Alert This workflow automatically checks your WooCommerce store’s last 24 hours of revenue, top-selling products, and cancelled orders on a daily schedule. It sends Slack notifications when sales cross a defined threshold or provides a detailed status update—including cancellation impact—if the target hasn’t been met, helping teams react quickly without manual reporting. ### 🚀 Quick Implementation Steps * Set up the Schedule Trigger to run daily * Connect WooCommerce and fetch recent orders * Filter paid and cancelled orders separately * Filter both datasets to the last 24 hours * Calculate revenue, top products, and cancellation impact * Merge and format sales and cancellation data * Compare revenue with a configurable threshold * Send enriched Slack alerts with sales and cancellation insights ## What It Does This workflow serves as a **daily sales and revenue health monitoring assistant** for your WooCommerce store. * It runs automatically on a schedule and collects recent order data from WooCommerce via API. * Only paid orders (Completed / Processing) are considered for revenue calculations. * Cancelled orders are processed in a separate branch to track revenue loss. * Orders created within the last 24 hours are filtered for both paid and cancelled orders. * The workflow calculates **total revenue**, **order count**, **average order value**, and **top-selling products**. * It also calculates **cancelled order count** and **cancelled revenue** to highlight potential revenue leakage. * Sales and cancellation data are merged into a single structured object. * An **IF node** checks whether revenue exceeds a predefined threshold. * If the threshold is crossed, a **Slack Sales Spike Alert** is sent with cancellation context. * If the threshold is not reached, a **Slack Status / Pending Alert** is sent showing progress, top products, and cancellation impact—keeping the team informed without noise. ## Who’s It For * Business owners monitoring daily sales and revenue health * Sales and marketing teams tracking revenue spikes and losses * E-commerce managers using WooCommerce * Operations teams monitoring cancellations and fulfillment risks * Non-technical users who want actionable insights without dashboards ## Requirements to Use This Workflow * An active **WooCommerce store** * **WooCommerce REST API credentials** * An **n8n instance** (cloud or self-hosted) * A **Slack workspace** with incoming webhook or Slack credentials * Permission to read WooCommerce orders and post Slack messages ## How It Works & Set Up 1. **Schedule Trigger** * Configure the Schedule Trigger to run once per day at your preferred time. 2. **Fetch Orders from WooCommerce** * Use the WooCommerce node to retrieve recent orders from your store. 3. **Filter Paid Orders** * Keep only orders with status `Completed` or `Processing`. 4. **Filter Last 24 Hours Orders** * A Code node filters paid orders created within the last 24 hours. 5. **Calculate Top Products** * A Code node aggregates product quantities sold in the last 24 hours. 6. **Calculate Total Revenue** * A Code node calculates total revenue, order count, and average order value. 7. **Fetch & Process Cancelled Orders** * A separate WooCommerce branch fetches orders with status `Cancelled`. * Cancelled orders are filtered to the last 24 hours using a Code node. * A Code node calculates cancelled order count and cancelled revenue. 8. **Merge & Format Sales Data** * A Merge node combines sales metrics and cancellation metrics. * A Code node formats all results into a single JSON object for Slack. 9. **Threshold Check** * An IF node compares total revenue against a fixed threshold. 10. **Send Slack Alerts** * **TRUE path**: Sends a **Sales Spike Alert** including revenue, top products, and cancellation impact. * **FALSE path**: Sends a **Status / Pending Alert** showing current performance, top products, and cancellation insights. 11. **Activate Workflow** * Test once and activate the workflow for daily monitoring. ## How To Customize Nodes * **Threshold Value**: Update the IF node condition to match your business target * **Schedule Time**: Change the Schedule Trigger execution time * **Slack Channels**: Update Slack nodes to post in your desired channels * **Order Status Logic**: Adjust filters for paid or cancelled orders if needed * **Time Window**: Modify the 24-hour logic to 12 hours, 48 hours, or weekly * **Cancellation Sensitivity**: Add conditions to alert on high cancellation volume or revenue impact ## Add-ons (Optional Enhancements) * Add **cancellation rate (%)** and **net revenue** calculations * Trigger alerts when **cancellation revenue exceeds a defined percentage** * Store daily sales and cancellation history in **Google Sheets or a database** * Add **day-over-day or week-over-week comparisons** * Send alerts to **Microsoft Teams or Email** * Attach a **CSV report** with order and cancellation details ## Use Case Examples * Detect viral product sales quickly * Monitor flash sale performance * Identify revenue loss due to cancellations * Alert leadership on high-revenue or high-risk days * Track campaign-driven sales spikes and drop-offs * Support inventory, operations, and customer experience planning > Many more business scenarios can be addressed based on your store’s needs. ## Troubleshooting Guide | Issue | Possible Cause | Solution | | ---------------------------------- | -------------------------------- | ---------------------------------------- | | No Slack alert received | Revenue did not exceed threshold | Check threshold or test with lower value | | Workflow fails | WooCommerce API error | Verify API credentials and permissions | | Revenue or cancellation shows zero | Orders filtered out | Validate order status and date logic | | Slack message not sent | Wrong Slack credentials | Reconnect Slack node | | Orders missing | Timezone mismatch | Align WooCommerce and n8n timezone | ## Need Help? Need help setting up this workflow or customizing it further? Our [n8n workflow development](https://www.weblineindia.com/n8n-automation/) team at WeblineIndia can assist you with implementation, add-ons, performance optimization and building similar n8n automations tailored to your business needs. 👉 Contact **WeblineIndia** today to automate smarter and scale faster.
Forecast Zoho CRM deals with AlphaVantage market data, GPT‑4 and Slack alerts
# Zoho CRM Deal Forecasting with External Market Factor This workflow automatically fetches active deals from Zoho CRM, retrieves real-time market signals, calculates AI-enhanced forecast metrics, evaluates deal-market alignment, stores data in a database, updates CRM, and sends a summary alert to Slack. This workflow runs weekly to help sales teams make data-driven decisions. It fetches all open deals from Zoho, calculates expected revenue using deal amount, probability, seasonal trends, and market signals. An AI node evaluates each deal’s match ratio against current market conditions. Forecasts and AI insights are stored in a database and written back into Zoho. A Slack message summarizes the key metrics for easy review. You receive: * **Weekly automated deal forecast**. * **AI-powered deal-market alignment insights**. * **Database storage for historical trends**. * **Slack summary notifications**. Ideal for sales teams wanting real-time insights into pipeline health and market alignment without manual calculations. ### Quick Start – Implementation Steps 1. Import the provided n8n workflow JSON file. 2. Add your **Zoho CRM credentials** in all relevant nodes. 3. Add your **AlphaVantage API key** in the Market Signal node. 4. Connect your **Slack** credentials and select the channel for alerts. 5. Connect your **Supabase** (or preferred database) account for storing forecasts. 6. Activate the workflow — it will run automatically on the configured weekly schedule. ## What It Does This workflow automates deal forecasting with AI-enhanced insights: 1. Fetches all active deals from Zoho CRM. 2. Retrieves real-time market data (SPY index) from AlphaVantage. 3. Combines deal and market data for forecast calculations. 4. Calculates expected revenue using: * Deal amount * Probability * Seasonal factors * Market signals 5. Sends deal data to an AI node for match ratio, confidence level, and reasoning. 6. Parses AI output and merges it with forecast data. 7. Stores forecast & AI metrics in a database (Supabase). 8. Updates Zoho CRM with adjusted forecast and AI insights. 9. Sends a summary alert to Slack including: * Deal name and stage * Amount, probability, and expected revenue * Market signal and seasonal factor * AI match ratio and confidence This ensures teams see clear, actionable sales insights every week. ## Who’s It For This workflow is ideal for: * Sales managers and CRM admins * Revenue operations teams * Forecasting analysts * Teams using Zoho CRM and Slack for pipeline management * Anyone wanting AI insights on market alignment for deals ## Requirements to Use This Workflow To run this workflow, you need: * **n8n instance** (cloud or self-hosted) * **Zoho CRM account** with API access * **AlphaVantage API key** for market data * **Slack workspace** with API permissions * **Supabase or other database** for storing forecasts * Basic understanding of deals, probabilities, and seasonal forecasting ## How It Works 1. **Weekly Trigger** – Workflow runs automatically once a week. 2. **Fetch Deals** – Retrieves all active deals from Zoho CRM. 3. **Get Market Signal** – Fetches real-time market data. 4. **Combine Deal & Market Info** – Merges deal and market datasets. 5. **Generate Forecast Metrics** – Calculates expected revenue using deal info, seasonality, and market influence. 6. **AI Deal Match Evaluator** – AI evaluates alignment of each deal with market conditions. 7. **Parse AI Output & Merge Forecast** – Parses AI response and combines with forecast data. 8. **Store Forecast in Database** – Saves forecast and AI insights to Supabase. 9. **Update Deal Forecast in Zoho** – Updates deals with adjusted forecast and AI insights. 10. **Send Forecast Summary to Slack** – Sends a clear summary with key metrics. ## Setup Steps 1. Import the workflow JSON file into n8n. 2. Add Zoho credentials for deal fetch and update nodes. 3. Add AlphaVantage API key for market signal node. 4. Configure Supabase node to store forecast data. 5. Add Slack credentials and choose a channel for notifications. 6. Test the workflow manually to ensure metrics are calculated correctly. 7. Activate the weekly trigger. ## How To Customize Nodes ### Forecast Calculation Modify **Generate Forecast Metrics** node to adjust seasonal factors or calculation logic. ### AI Match Evaluation You can tweak prompts in **Message a Model** to adjust AI scoring logic or reasoning output. ### Database Storage Supabase node can include additional fields: * Timestamp * Deal owner * Notes or comments * Additional KPIs ### Slack Alerts Customize message format, emojis, or mentions for team readability. ## Add-Ons (Optional Enhancements) * Integrate multiple market indices for more accurate forecasting. * Add multi-stage probability adjustments. * Create dashboards using stored forecast data. * Extend AI evaluation for risk scoring or priority recommendations. ## Use Case Examples ### 1. Pipeline Health Quickly see which deals are aligned with market conditions. ### 2. Forecast Accuracy Track historical vs AI-enhanced forecasts for trend analysis. ### 3. Team Notifications Slack summary alerts keep sales and leadership informed weekly. ## Troubleshooting Guide | Issue | Possible Cause | Solution | |-------|----------------|---------| | No Slack alerts | Invalid credentials | Re-check Slack API key and channel | | Forecast not updating | Zoho API error | Verify Zoho OAuth credentials | | AI node fails | Model misconfiguration | Check OpenAI API credentials & prompt format | | Data not stored | Supabase connection issue | Verify credentials and table mapping | ## Need Help? If you need assistance setting up the workflow, modifying the AI forecast logic or integrating Slack summaries our n8n workflow development team at WeblineIndia can help. We provide workflow customization, advanced forecasting and reporting solutions for Zoho CRM pipelines.
Monitor and alert stalled deals in Zoho CRM with Gemini AI and Gmail
# Zoho CRM – Deal Health Predictor with AI Scoring This n8n automation monitors open Zoho CRM Deals every week, identifies stalled opportunities, scores their health using Google Gemini AI and triggers sales intervention by emailing the deal owner and creating a high-priority task in Zoho CRM — before the deal goes cold. ### Quick Start — Implementation in 6 Steps 1. Import workflow into your n8n instance. 2. Connect Zoho OAuth2 credential in all Zoho nodes. 3. Connect Gmail OAuth2 account for outbound alerts. 4. Confirm stage names & inactivity thresholds match your CRM. 5. Test with sample deals before scheduling. 6. Activate the workflow once validated by your sales team. ## What It Does This workflow dynamically analyzes every open sales deal retrieved from Zoho CRM. It calculates key metrics per deal such as inactivity duration, stage aging and deal age to understand whether the opportunity has stalled. Only deals with significant inactivity move forward to AI scoring. Using Google Gemini, each deal receives a **Health Score (0–100)**, along with a risk level, reasons and recommended next actions. If a deal is considered “At-Risk,” the system automatically: - Sends an alert email to the assigned sales rep - Creates a **high-priority** Task in Zoho CRM linked to that deal It ensures timely sales intervention without needing manual checks. ## Who’s It For - Sales teams using **Zoho CRM** - RevOps & Sales Managers monitoring deal movement - Teams wanting **data-backed alerts** for slow-moving deals - Businesses wanting **proactive** pipeline management with AI ## Requirements | Requirement | Why | |------------|-----| | n8n instance (Self-hosted or Cloud) | Runs the workflow | | Zoho CRM OAuth2 Credentials | Fetch deals + Create tasks | | Gmail (or SMTP) credentials | Send alert emails | | Google Gemini API access | AI scoring on deals | | Deals must have Stage + Owner + Activity history | Ensures accurate scoring | ## How It Works — Setup & Configuration Steps ### Step-by-Step Setup 1. **Import** workflow into n8n 2. Enable **Zoho CRM OAuth2** credentials in: - Fetch Open Deals - Create At-Risk Task 3. Enable **Gmail OAuth2** on the email alert node 4. Validate fields from Zoho API: - `Last_Activity_Time` - `Stage` - `Owner.email` 5. Update the **deal stage list** in the Fetch URL if needed: - Example: `Qualification`, `Negotiation`, `Proposal`, etc. 6. Confirm scanning frequency in the **Weekly Trigger** 7. Run the workflow manually once → check logs + emails + tasks 8. Turn workflow **Active** ## How To Customize Nodes | Node | What You Can Customize | Example | |------|-----------------------|---------| | Weekly Trigger | Change execution frequency | Daily scan | | Fetch Deals | Include additional deal stages | Add “Value Proposition” | | Filter Stalled Deals | Adjust inactivity threshold | > 15 days instead of 30 | | AI Prompt | Add more data points | Probability to close | | Email Alert | Modify message template | Localization | | Task creation | Add reminder / follow-up info | Due date +1 day | ## Add-Ons (Optional Enhancements) You can easily extend this workflow by adding: - **Stage Change Webhook Trigger** → near real-time monitoring - **Google Sheets or Database Logging** for reporting - **Duplicate task checker** so the same deal isn’t flagged repeatedly - **Slack / Microsoft Teams alerts** - **SLA-based scoring** (pipeline aging logic) - **Manager escalation** if no response in X days ## Practical Use Cases This workflow is ideal for: 1. Sales manager auto-alert system for aging deals 2. Leaderboard tracking for untouched deals 3. Weekly CRM hygiene and rep performance tracking 4. Early detection of churn risk in B2B sales cycles 5. AI-assisted deal coaching and next-step suggestions Many more scenarios are possible based on deal movement automation. ## Troubleshooting Guide | Issue | Possible Cause | Fix / Solution | |------|----------------|----------------| | No deals processed | Stage filters too narrow | Update fetch URL stage list | | Emails not sent | Gmail credentials missing or expired | Reconnect Gmail OAuth2 | | Tasks not created | Zoho API permissions missing | Enable write permissions | | Owner email missing | CRM field not mapped correctly | Update sendTo expression | | Health score always null | Output parser mismatch | Check prompt & parser config | | Workflow runs but no alerts sent | No stalled deals or score >= threshold | Temporarily lower threshold for testing | ## Need Help? If you would like expert help customizing this workflow or implementing additional automation like stage-based triggers, dashboards or integration with Slack/Teams, our n8n automation team at **WeblineIndia** can assist you.
Sync WooCommerce orders and inventory with Google Sheets and Slack
## Automate order fulfillment and inventory sync from WooCommerce to Google Sheets and Slack This workflow provides a robust, end-to-end automated pipeline for managing e-commerce orders. It bridges the gap between your storefront and your fulfillment team by handling inventory validation, multi-channel notifications, and centralized data logging. ## Who’s it for? This template is designed for e-commerce business owners and operations managers using **WooCommerce** who want to eliminate manual order processing. It is ideal for teams that need real-time updates on stock availability and automated communication with both customers and warehouse staff. ## How it works 1. **Order Capture**: The workflow triggers via a WooCommerce Webhook (real-time) or a Schedule Trigger (hourly sync). 2. **Data Extraction**: It parses complex order JSON into a clean, usable format. 3. **Inventory Check**: The system iterates through each line item to verify stock levels. 4. **Fulfillment Logic**: It determines if an order is "Ready" or "Backordered" and calculates estimated shipping priorities. 5. **Multi-Channel Notification**: * **In-Stock**: Sends a confirmation email to the customer and alerts the fulfillment team on Slack. * **Backordered**: Sends a delay notice to the customer and alerts the inventory manager on Slack. 6. **Data Logging**: Every order is appended to a Google Sheet for long-term analytics and tracking. ## Requirements * **WooCommerce**: REST API access and Webhook setup. * **Gmail**: OAuth2 credentials for sending automated emails. * **Slack**: A Bot Token with permissions to post in `#fulfillment` and `#alerts` channels. * **Google Sheets**: A spreadsheet prepared with headers matching the order data. ## How to set up 1. **Credentials**: Connect your WooCommerce, Gmail, Slack, and Google Sheets accounts in the respective nodes. 2. **WooCommerce Webhook**: Copy the Webhook URL from the first node and paste it into your WooCommerce Webhook settings (Topic: Order Created). 3. **Inventory Logic**: The "Check Inventory" node currently uses a simulated Code node. Replace this logic with a lookup to your actual inventory database or ERP system. 4. **Google Sheets**: Open the "Log Order to Sheets" node and select your specific Spreadsheet ID and Sheet Name. ## How to customize * **Shipping Rates**: Modify the "Process Order Logic" node to include your specific carrier rates or integrate a shipping API (like ShipStation). * **Priority Rules**: Adjust the logic to flag "High Value" orders or specific VIP customers for faster processing. * **Messaging**: Customize the Gmail and Slack message templates to match your brand's voice.
KlickTipp tag manager: convert tag names to IDs
 ## **Community Node Disclaimer** This workflow uses **KlickTipp community nodes**, available for **self-hosted n8n instances only**. --- ## Introduction This workflow receives an array of tag names, checks which tags already exist in KlickTipp, creates the missing ones, and returns a unified array of tag IDs — so you can reuse the same "get or create tags" logic across multiple automations. ## How it works - Accepts input `tagNames[]` (array of tag names). - Splits the array into individual items and maps each name into a `value` field for matching. - Loads your full KlickTipp tag list and matches by tag name. - Creates tags that don’t exist yet. - Combines existing + newly created tags and returns a single aggregated array of IDs. ## Setup Instructions 1. **Credentials** - Configure your **KlickTipp** credentials in the KlickTipp nodes. 2. **How to call this sub-workflow** - From a parent workflow, use an **Execute Sub-workflow** node and pass: ``` { "tagNames": ["Tag A", "Tag B", "Tag C"] } ``` ## Output Returns aggregated tag IDs: ``` { "tagIds": [123456789, 98765431, 999999999] } ``` ## Testing - Test with a mix of existing and new tag names. - Confirm new tags appear in KlickTipp and the output contains all expected IDs. - Use `tagIds[]` in your parent workflow (for example, when updating or tagging contacts).
Automate SaaS operations with GPT-4.1-mini for user, support & billing management
## HOW IT WORKS : Automates SaaS operations by consolidating user management, AI-driven support triage, analytics, and billing into one unified system. User signups flow through registration, support requests route via OpenAI prioritization, billing events trigger confirmations, and daily analytics feed dashboards. The AI Business Logic layer orchestrates real-time decisions, enriches data, and triggers Gmail notifications. Four data streams converge into centralized routing for customer onboarding, ticket triage, metrics aggregation, and revenue automation. ## SETUP STEPS: 1. Add OpenAI API credentials for chat model routing 2. Authenticate Gmail with app password for notifications 3. Connect Data Table Tool for user/support/billing storage 4. Configure workflow settings: priority thresholds and routing rules 5. Test each branch with sample data to verify all integrations ## PREREQUISITES: OpenAI API key, Gmail account with app password, MCP Server access, Data Table Tool credentials ## USE CASES: Manage SaaS customer lifecycle end-to-end; Route critical support instantly ## CUSTOMIZATION: Extend AI prompts for different support categories; add Slack/Teams notifications ## BENEFITS: Reduces manual overhead 70%, routes tickets 10x faster, centralizes customer data
Automate Shopify inventory reordering with predictive analytics and Google Sheets
This workflow automates inventory management and predictive reordering for Shopify stores. It integrates Shopify, Google Sheets, and Slack to monitor inventory levels, calculate dynamic reorder points based on sales velocity, and automate supplier communication. The workflow helps prevent stockouts, reduces overstock, and streamlines the purchase order process with minimal manual intervention. --- ## Key Features - **Automated Inventory Monitoring:** Fetches real-time inventory, product, and order data from Shopify and Google Sheets. - **Predictive Reordering:** Calculates sales velocity and dynamic reorder points for each SKU. - **Supplier Communication:** Automatically generates and sends purchase orders (POs) to suppliers via email or API. - **Multi-Warehouse Logic:** Checks for possible stock redistribution before triggering new orders. - **Business Rule Enforcement:** Applies custom rules (MOQ, budget, business days, approval thresholds). - **Real-Time Alerts:** Notifies stakeholders via Slack about critical stock risks and slow-moving products. - **Comprehensive Logging:** Updates purchase order logs and analytics dashboards for full traceability. --- ## How to Configure 1. **Shopify Integration** - Create a [Shopify Private App](https://shopify.dev/docs/apps/auth) and obtain your API credentials (API key, password, and store URL). - In n8n, set up Shopify credentials using these details. 2. **Google Sheets Integration** - Prepare three Google Sheets: - **Inventory Master:** Contains SKU, product details, and ideal stock levels. - **Suppliers:** Contains supplier contact information and SKU mapping. - **Purchase Order Log:** Tracks all generated POs. - Share these sheets with the Google account connected to n8n and set up Google Sheets credentials. 3. **Slack Integration** - Create a [Slack Incoming Webhook](https://api.slack.com/messaging/webhooks) for the channel where you want to receive alerts and summaries. - Add the webhook URL to the relevant Slack nodes in the workflow. 4. **Supplier Communication** - For email: Configure the Email node with your SMTP credentials and supplier email addresses. - For API: Set up HTTP Request nodes with supplier API endpoints and authentication as required. 5. **Workflow Parameters** - Adjust configuration nodes to set business rules such as: - Reorder point multipliers - Safety stock days - Budget limits - Minimum order quantities (MOQ) - Approval thresholds 6. **Scheduling** - The workflow is set to run hourly by default. Adjust the trigger node as needed. 7. **Testing** - Run the workflow manually with test data to ensure all integrations and logic work as expected before enabling automation. --- ## How It Works 1. **Trigger:** Runs automatically on an hourly schedule. 2. **Configuration:** Sets business parameters (Shopify URL, reorder multipliers, safety stock days, budget, etc.). 3. **Data Collection:** Retrieves inventory, product details, and recent orders from Shopify. Reads inventory master, supplier list, and PO log from Google Sheets. 4. **Data Merging:** Combines all sources into a unified SKU-level dataset. 5. **Sales Velocity Calculation:** Computes 7/30-day sales velocity for each SKU. 6. **Dynamic Reorder Point:** Calculates reorder points based on sales velocity, lead time, and safety stock. 7. **Reorder Check:** Identifies SKUs below their reorder point. 8. **Stockout Risk Assessment:** Flags SKUs at high risk of stockout and sends Slack alerts. 9. **Warehouse Redistribution:** Attempts to balance stock between warehouses before reordering. 10. **Supplier Data Enrichment:** Adds supplier info and checks availability. 11. **Business Rule Checks:** Validates business day, MOQ, promotional periods, budget, and approval needs. 12. **Order Calculation:** Determines optimal order quantities and prioritizes by profitability. 13. **PO Structuring:** Prepares PO line items and context for supplier communication. 14. **PO Dispatch:** Sends PO via email or API to the supplier. 15. **PO Confirmation & Logging:** Waits for confirmation and updates the PO log in Google Sheets. 16. **Slow-Mover Detection:** Identifies slow-selling SKUs and sends actionable Slack suggestions. 17. **Inventory Update:** Syncs inventory changes back to Shopify. 18. **Analytics & Reporting:** Updates dashboards, scenario planning sheets, and accounting systems. 19. **Daily Summary:** Aggregates and sends a daily activity summary to Slack. --- ## Example Use Case A Shopify retailer uses this workflow to automate inventory management. Every hour, the workflow checks current stock and sales trends, predicts which products are at risk of running out, and automatically creates purchase orders for suppliers. If a product is selling slowly, the system notifies the team with suggestions for discounts or bundling. All actions are logged and summarized daily, ensuring the team stays informed and inventory is always optimized. --- ## Prerequisites - Shopify account with API access - Google Sheets with inventory, supplier, and PO log sheets - Slack workspace and webhook for notifications - Supplier email/API endpoints for PO dispatch --- ## Limitations & Notes - Customization may be required for specific business rules or supplier integrations. - Ensure API credentials and sheet structures match the workflow’s configuration. - Multi-warehouse logic assumes accurate warehouse-level inventory data. --- If you need further customization or have specific requirements for your business logic, adjust the configuration and node parameters accordingly.
Generate strategic business recommendations with GPT-4 Mini and multi-channel distribution
## How It Works Automates sales data analysis and strategic insight generation for sales managers and strategists needing actionable intelligence. Fetches multi-source data from sales, marketing, and financial systems, validates data quality to prevent errors, applies advanced AI analysis via OpenAI to identify market trends and patterns, calculates comprehensive KPIs for performance measurement, generates prioritized recommendations, and automatically distributes detailed insights via Gmail alerts and Google Sheets dashboards—eliminating time-consuming manual analysis overhead. ## Setup Instructions 1. **OpenAI API**: Add key via credentials 2. **Gmail**: Authorize account for email delivery 3. **Google Sheets**: Connect for dashboard logging 4. **Schedule**: Set monthly trigger timing 5. **Modify data sources**: Replace fetch nodes with your APIs ## Prerequisites OpenAI API key, Gmail account with send permissions, Google Sheets access, n8n instance, source data APIs (sales, marketing, financial systems). ## Use Cases E-commerce platforms analyzing sales trends; SaaS companies generating strategy reports; multi-channel retailers routing recommendations; ## Customization Add data sources via fetch nodes; swap OpenAI for Claude or Gemini; modify routing logic for different priority thresholds; ## Benefits Reduces analysis time from hours to minutes. Eliminates manual report crea
Automate Stripe checkout sales tracking in RD Station Marketing
This workflow instantly sends successful Stripe Checkout payments to RD Station Marketing by creating an **Order & Payment Event** for every confirmed transaction. It’s ideal for businesses that want to automate lead tracking, unify customer data, and trigger marketing automation flows at the moment of sale. ## Who’s it for This template is designed for online sellers, course creators, SaaS businesses, and marketers who use **Stripe Checkout** for payments and **RD Station Marketing** for lead management and automation. If you want real-time revenue data inside RD Station without manual work, this workflow is for you. ## **How it works** * Stripe triggers the workflow whenever a Checkout Session is completed. * The workflow checks the payment status and retrieves the list of purchased items. * A new **Order & Payment Event** is sent to RD Station Marketing using the community node. * You can extend the workflow to include customer details captured during checkout. ## **How to set up** 1. Edit the **Stripe Trigger** and **getItems** nodes with your Stripe API keys. 2. Add your **RD Station Marketing** credentials in the `send2RDMKT` node. 3. In production, copy the workflow’s webhook URL and add it to your Stripe Webhook settings. 4. Test the workflow with a real or test payment. ## **Requirements** * A Stripe account and valid [API keys](https://docs.stripe.com/keys) * An [RD Station Marketing](https://indiquei.app/L5nlhp) account * Installation of the community node: [RD Station Marketing for n8n](https://www.npmjs.com/package/n8n-nodes-rdstation-marketing) **Disclaimer:** This workflow requires a **self-hosted** n8n instance because it uses a community node. ## **How to customize the workflow** You can extend the payload sent to RD Station Marketing to include additional fields such as customer name, email, coupon codes, or metadata collected in Stripe Checkout. Feel free to add routers, conditionals, or enrichment nodes depending on your marketing logic.
Track and score contact engagement with Zoho CRM, PDL, News & Reddit
# Zoho CRM – Social Media Engagement Tracker This workflow automatically monitors new or updated Contacts in Zoho CRM, enriches them using People Data Labs, checks public visibility across News + Reddit, calculates an engagement score and updates Zoho CRM fields accordingly. When a Contact shows high online engagement, the workflow automatically opens a Deal and logs a note to help sales teams act quickly. ### 🚀 Quick Implementation 1. Import this workflow JSON into n8n. 2. Add Zoho OAuth2 credentials & set webhook URL. 3. Add People Data Labs API Key & GNews API Key. 4. Ensure CRM custom fields exist-`Social_Profiles`,`Engagement_Score`,`Mentions_Counts`,`Social_Status` 5. Update a Contact in Zoho → watch automation fire! ## 🔍 What It Does This automation transforms a simple Zoho CRM instance into a proactive intelligence system that detects which contacts are gaining public attention online. When a Contact is created or updated in Zoho CRM, n8n automatically retrieves verified profile data such as LinkedIn, Twitter, Facebook and GitHub using People Data Labs — eliminating manual research and spreadsheet maintenance. Next, the workflow checks whether the contact is appearing in global News platforms (via GNews) or being discussed on Reddit. It analyzes the volume and context of these public mentions to estimate how relevant, visible or influential the person may be online. Each discovered activity contributes to a calculated Engagement Score. That score and all enrichment details are written back to Zoho CRM, helping sales and marketing teams instantly identify high-potential contacts. When the score exceeds a defined threshold, the workflow even creates a Deal automatically — meaning your CRM will notify your team of hot prospects before someone else reaches them. This safeguards missed opportunities, speeds outreach and improves your entire pipeline efficiency. ## 🎯 Who’s It For - B2B sales teams & SDRs. - CRM admins improving data quality. - Marketing analysts tracking brand mentions. - Growth teams targeting public-facing prospects. - Lead scoring, enrichment & prioritization automation. ## 🧩 Requirements | Tool | Purpose | |------|---------| | n8n | Workflow automation | | Zoho CRM | Contact data and CRM updates | | PDL API Key | Social profiles enrichment | | GNews API Key | Public news mention search | | Internet Access | API communication | Zoho CRM must contain these custom Contact fields: - `Social_Profiles` - `Engagement_Score` - `Mentions_Counts` - `Social_Status` ## ⚙️ How It Works — Setup & Configuration Steps ### 1️⃣ Install and Import - Open n8n → **Import from File** - Import this workflow JSON ### 2️⃣ Configure Authentication - Assign Zoho OAuth2 credentials to all Zoho nodes - Add **PDL API Key** in header `x-api-key` - Add **GNews API Key** in query param `apikey` ### 3️⃣ Configure Zoho CRM Webhook Zoho CRM → Developer Space → Webhooks - Module: **Contacts** - URL: `https://YOUR-N8N-URL/webhook/zoho-crm-new-contact` - Method: POST - Trigger: Create + Update Test by modifying a Contact. ### 4️⃣ Validate CRM Field Mappings Ensure custom fields exist and allow updates ## 🛠 Customize Nodes | Node | Customization Options | |------|----------------------| | Engagement Scoring | Adjust weights for likes/comments/news | | IF High Engagement | Change threshold (default ≥ 200) | | Deal Creation | Customize Deal name, stage, pipeline | | Social Profiles | Add more sites: TikTok, Instagram, etc. | | Notes | Include full mention breakdown | ## ➕ Add-Ons / Optional Improvements | Feature | Benefit | |--------|---------| | Slack notifications | Real-time alerts for hot contacts | | Google Sheets logging | Trend reports across engagements | | Weekly re-scans | Detect new mentions automatically | | UTM tracking | Monitor marketing effectiveness | | AI sentiment scoring | Prioritize positive vs negative mentions | ## 💡 Use Case Examples 1. Automatic lead prioritization for outbound sales. 2. Identify influencers or public figures inside CRM. 3. Detect PR opportunities from sudden news mentions. 4. Track competitor engagement through contacts. 5. Increase CRM intelligence without manual data entry. (And many more real-world CRM automation use cases) ## 🧯 Troubleshooting Guide | Issue | Reason | Solution | |------|--------|----------| | No workflow execution | Webhook not triggered | Check Zoho webhook config | | No social profiles | Contact lacks digital footprint | Test with a known public profile | | Deal not created | Score below limit | Reduce score threshold | | HTTP 401 errors | Invalid API credentials | Re-connect Zoho / update keys | | Reddit search empty | Rate limiting or mismatch | Retry + adjust keyword logic | ## 🤝 Need Help? This workflow is built by n8n automation developers at **WeblineIndia**. We can help you: - Deploy this workflow into production, - Integrate more CRMs & intelligence providers, - Add reporting dashboards & alerts, - Build custom scoring and automation logic, - And so much more.