Workflow Templates

This n8n template demonstrates the easiest way to build a lead capture flow for your side project, startup or small business where simple works best! If Typeform's costs are getting you down or you feel Google form URLs are off-putting, then definitely give this a try. How it works Our flow begins with a form trigger to capture a newsletter signup and the user's email is captured into a google sheet. Google Sheet is used for demonstration purposes but this could be any database. Multi-page forms allow you to continue the onboarding experience with a short survey. 3 form nodes are chained to capture more details from the user which update the same row in the google sheet. Finally, a form ending node shows a customised completion screen for our user. Check out the example sheet here: https://docs.google.com/spreadsheets/d/15W1PiFjCoiEBHHKKCRVMLmpKg4AWIy9w1dQ2Dq8qxPs/edit?usp=sharing How to use Keeping forms simple may serve to increase form completion rates. If you feel the need to add additional fields, consider breaking them up into more forms and group them contextually. Requirements Google Sheets for data capture Slack for notifications Feel free to swap these out for services that you use! Customising this workflow Play with multi-form design to maximise the opportunity of getting to know the user better. That said, lengthy flows are likely to put people off. Instead of showing a static completion screen, perhaps redirecting to your blog or other more interesting page.

This n8n workflow provides a robust error handling and notification system for your n8n workflows. When an error occurs, it automatically logs the error details to Google Sheets, sends a notification to a Telegram channel, and dispatches an email alert, ensuring you're immediately aware of any issues. How it works Error Trigger:** The workflow is activated whenever an error occurs in another n8n workflow. Log Error (Google Sheets):** Error details (e.g., workflow name, error message, timestamp) are appended to a specified Google Sheet, creating a centralized log for all errors. Edit Fields (Manual Configuration):** This node allows you to manually set the Telegram chat ID and recipient email for notifications. Notify in channel (Telegram):** An error notification containing relevant details is sent to your configured Telegram channel. Send email (Gmail):** An email alert with comprehensive error information is sent to the specified recipient. Set up steps This setup will take approximately 10-15 minutes. Download the workflow: Download this workflow and import it into your n8n instance. Configure the Error Trigger: This trigger will automatically activate when an error occurs in any workflow. Make sure you set this workflow as the "Error Workflow" inside the workflows where you want to be alerted. Configure Log error (Google Sheets): Connect your Google Sheets account credentials. Specify the Google Sheet ID and the sheet name where you want to log the errors. Ensure the sheet has appropriate headers (e.g., "Timestamp", "Workflow Name", "Error Message", "Error Details") to receive the data. Configure Edit Fields: In the "Edit Fields" node, manually enter your Telegram chat ID. This is the ID of the chat or channel where you want to receive Telegram notifications. Insert the recipient's email address where you want to receive email alerts. Configure Notify in channel (Telegram): Connect your Telegram account credentials. Ensure the "Chat ID" field is correctly linked to the output from the "Edit Fields" node. Configure Send email (Gmail): Connect your Gmail account credentials. Ensure the "To" email address is correctly linked to the output from the "Edit Fields" node. Customize the subject and body of the email to include relevant error information from the "Error Trigger" node. Test the workflow: To test, you can intentionally create an error in another simple n8n workflow. This error workflow should then trigger this error handling workflow, and you can verify if the log is updated, Telegram message is sent, and email is received. Make sure that the workflow you are testing has the "Error Workflow" selected in the workflow's settings. Requirements n8n instance:** An active n8n instance (self-hosted or cloud). Google Account:** A Google account with access to Google Sheets. Telegram Account:** A Telegram account and a chat/channel ID for notifications. Gmail Account:** A Gmail account to send email alerts. Need help? Feel free to contact us at 1 Node. Get instant access to a library of free resources we created.

Overview: This workflow is designed to handle user inputs via a webhook, process the inputs with the Google Gemini API (specifically the gemini-2.0-flash-thinking-exp-1219 model), and return a structured response to the user. The response includes three key elements: reasoning, the final answer, and citation URLs (if applicable). This workflow provides a robust solution for integrating AI reasoning into your processes. This workflow can be utilized as a tool for AI-based agents, intelligent email drafting systems, or as a standalone intelligent automation solution. Setup: Webhook Configuration: Ensure the webhook node is properly set up to accept GET requests with an input parameter. Verify that the webhook path matches your application requirements. Test the webhook using tools like Postman to ensure proper data formatting. Google Gemini API Credentials: Set up your Google Gemini API account credentials in the HTTP Request node. Ensure API access and permissions are valid. Parameter Adjustments: Customize the temperature, topK, topP, and maxOutputTokens parameters to fit your use case. Customization: Input Parameters: Modify the webhook path or parameters based on the data your application will send. Response Formatting: Adjust the JavaScript code in the "Process API Response" node to fit your desired output structure. Output Expectations: Test the response returned by the "Return Response to User" node to ensure it meets your application requirements. Workflow Steps: Receive User Input: Node Type: Webhook Purpose: Captures a GET request containing a user-provided input parameter. Acts as the starting point for the workflow. Send Request to Google Gemini: Node Type: HTTP Request Purpose: Sends the received input to the Gemini-2.0-flash-thinking-exp-1219 model for processing. The API configuration includes parameters for customizing the response. Process API Response: Node Type: Code Node Purpose: Extracts reasoning, the final answer, and citation URLs from the API response. Organizes the output for further use. Return Response to User: Node Type: Respond to Webhook Purpose: Sends the processed and structured response back to the user via the webhook. Ensures the response format meets expectations. Expected Outcomes: Input Handling:** Successfully captures user input via a webhook. AI Processing:* Generates a structured response using the *Gemini-2.0-flash-thinking-exp-1219** model, including reasoning, answers, and citations (if available). Output Delivery:** Returns a user-friendly response formatted to your specifications. Notes: The workflow is inactive by default. Each node is annotated with a Sticky Note to clarify its purpose. Ensure all API credentials are correctly configured before execution. Use this workflow to save time, improve accuracy, and automate repetitive tasks efficiently. Tags: Automation Google Gemini AI Agents Intelligent Automation Content Generation Workflow Integration

This template can be used to verify email addresses with Icypeas. Be sure to have an active account to use this template. How it works This workflow can be divided into four steps : The workflow initiates with a manual trigger (On clicking ‘execute’). It reads your Google Sheet file. It connects to your Icypeas account. It performs an HTTP request to scan the domains/companies. Set up steps You will need a formated Google sheet file with company/domain names. You will need a working icypeas account to run the workflow and get your API Key, API Secret and User ID. You will need domain/companies names to scan them.

Workflow Overview This workflow automates the process of forwarding e-book files to a Kindle device using a Telegram bot and Outlook email. Setup Steps: Telegram Bot Setup: Create a Telegram bot via BotFather and configure its credentials in the workflow. Outlook Email Configuration: Set up your Outlook email credentials. (Currently, only Outlook is supported, but you can modify the workflow to support other email providers.) Amazon Kindle Email Setup: Find your Kindle device's email address from your Amazon account. This will be the recipient address for the e-books. Allow Email Sending to Kindle: Ensure your Amazon account is configured to allow emails from your Outlook address to send files to your Kindle. Workflow Explanation: The workflow begins with a Telegram bot trigger node that listens for new chat messages. When a new message is received, the workflow checks if the message contains a file attachment. If no file is detected, the bot will send a warning reply to the user in the chat. If a file is found, it will be renamed to ensure it appears correctly on the Kindle device when sent. The workflow then composes an email with the file attached and sends it to the Kindle's receiving address. If the email is sent successfully, the bot will notify the user with a success message in the chat. Only Amazon-supported file types will be accepted by Kindle. If sending fails, you will receive a notification email from Amazon in your Outlook inbox. In case of delivery issues, retry sending the file as network issues may occasionally interfere with the process.

Automated pipeline that exports technology stack data from BuiltWith to Google Sheets for analysis, reporting, and team collaboration. 🚀 What It Does Extracts technology stack data Organizes data in Google Sheets Updates automatically on schedule Supports multiple company tracking Enables easy data sharing 🎯 Perfect For Sales teams Market researchers Business analysts Competitive intelligence Technology consultants ⚙️ Key Benefits ✅ Centralized technology database ✅ Easy data analysis ✅ Team collaboration ✅ Historical tracking ✅ Custom reporting 🔧 What You Need BuiltWith API access Google account n8n instance Google Sheets setup 📊 Data Exported Company information Web technologies Hosting details Analytics tools Marketing technologies Contact information 🛠️ Setup & Support Quick Setup Start exporting in 15 minutes with our step-by-step guide 📺 Watch Tutorial 💼 Get Expert Support 📧 Direct Help Transform raw technology data into actionable business intelligence with automated exports.

Automate Telegram Chat Responses Using Google Gemini By WeblineIndia* ⚡ TL;DR (Quick Steps) Create a Telegram bot using @BotFather and copy the API Token. Obtain Google Gemini API Key via Google Cloud. Set up the n8n workflow: Trigger: Telegram message received. AI Model: Google Gemini generates response. Output: AI reply sent back to user via Telegram. Customize the system prompt, model, or message handling to suit your use case. 🧠 Description This n8n workflow enables seamless automation of real-time chat replies in Telegram by integrating with Google Gemini's Chat Model. Every time a user sends a message to your Telegram bot, the workflow routes it through the Gemini AI, which analyzes and crafts a professional response. This reply is then automatically delivered back to the user. The setup acts as a lightweight but powerful chatbot system — ideal for businesses, customer service, or even personal productivity bots. You can easily modify its tone, intelligence level, or logging mechanisms to cater to specific domains such as sales, tech support, or general Q&A. 🎯 Purpose of the Workflow The primary goal of this workflow is to automate intelligent, context-aware chat responses in Telegram using a robust AI model. It eliminates manual reply handling, enhances user engagement, and ensures 24/7 interaction capabilities — all through a no-code or low-code setup using n8n. 🛠️ Steps to Configure and Use ✅ Pre-Conditions / Requirements Telegram Bot Token**: Get it from @BotFather. Google Gemini API Key**: Available via Google Cloud PaLM/Gemini API access. n8n Instance**: Hosted or local instance with required nodes installed (Telegram, Basic LLM Chain, and Google Gemini support). 🔧 Setup Instructions Step 1: Telegram Trigger – Listen for Incoming Messages Add Telegram Trigger node. Select Trigger On: Message. Authenticate using your Telegram Bot Token. This will capture incoming messages from any user interacting with your bot. Step 2: Google Gemini AI – Generate a Smart Reply Add the Basic LLM Chain node. Connect the input message ({{$json.message.text}}) from the Telegram Trigger. System Prompt: > "You are an AI assistant. Reply to the following user message professionally:" Choose Google Gemini Chat Model (models/gemini-1.5-pro). Connect this node to receive the text input and pass it to Gemini for processing. Step 3: Telegram Reply – Send the AI Response Add a Telegram node (Operation: Send Message). Set Chat ID dynamically from the Telegram Trigger node. Input the generated message from the Gemini output. Enable Parse Mode as HTML for rich formatting. Final Step: Link All Nodes Receive Telegram Message → Generate AI Response → Send Telegram Reply. > Tip: Test the workflow by sending a message to your Telegram bot and ensure you receive an AI-generated reply. 🧩 Customization Guidance ✏️ Modify the AI tone by updating the system prompt. 🤖 Use other AI models (e.g., OpenAI GPT-4o). 🔍 Add filters to respond differently based on specific keywords. 📊 Extend the workflow to store chats in Google Sheets, Airtable, or databases for audit or analytics. 🌐 Multi-language support: Add translation layers before and after AI processing. 🛠️ Troubleshooting Guide No message received?** Check if your Telegram bot is active and webhook is working. AI not responding?** Validate your Google Gemini API key and usage quota. Wrong replies?** Refine the system prompt or validate message routing. Formatting issues?** Ensure Parse Mode is correctly set to HTML. 💡 Use Case Examples Customer Service Chatbot** for product queries. Educational Bots** for answering user questions on a topic. Mental Health Companion** that gives supportive replies. Event-based Announcers** or automatic responders during off-hours. > And many more! This workflow can be easily extended to support advanced use cases with just a few additional nodes. 👨‍💻 About the Creator This workflow is developed by WeblineIndia, a trusted provider of AI development services and process automation solutions. If you're looking to build or customize intelligent workflows like this, we invite you to get in touch with our team. We also offer specialized Python development and AI developer hiring services to supercharge your automation needs.

Automating Company Data Enrichment and ICP Calculation Use Case This automation identifies a company's LinkedIn profile, extracts key business data, and calculates an ICP (Ideal Customer Profile) score to qualify and enrich company records. It is perfect for sales teams, data enrichment pipelines, and CRM integrations. What This Automation Does Input Parameters Company domain**: The company's website domain (e.g., example.com). Airtop Profile (connected to LinkedIn)**: Your Airtop Profile authenticated for LinkedIn. Company LinkedIn* *(optional): If already known, skips search. Output Includes Verified LinkedIn company URL (if not provided) Company profile (name, tagline, website, location, about) Scale metrics (employee count and bracket) Classification (automation agency status, AI focus, technical level) ICP score with justifications Structured JSON object with all values merged How It Works LinkedIn Detection: If not provided, attempts to locate the LinkedIn URL using website scraping or search. Data Extraction: Uses Airtop to gather structured data from the company’s LinkedIn profile. ICP Scoring: Applies a scoring rubric based on AI/tech orientation, scale, agency status, and geography. Merge Results: All data components are merged into a unified output. Setup Requirements Airtop API Key Airtop Profile with LinkedIn authentication Next Steps Combine with Person Enrichment**: Pair with workflows that enrich individuals tied to the company. Sync to CRM**: Connect the output to your CRM for record enrichment or scoring fields. Adjust ICP Scoring Logic**: Modify the rubric for your organization's ICP model. Read more about company data enrichment and ICP scoring

Automate Sports Betting Data with TheOddsAPI This workflow enables you to create and update a table using TheOddsAPI for sports betting data. It automatically pulls upcoming Ice Hockey games at the start of the day and updates the table with results at the end of the day. You can modify it to retrieve odds and game data for any sport. This setup is particularly useful for sports betting applications, such as tracking the results of a predictive model. It leverages scheduled triggers to activate HTTP requests, which then create or update fields in Airtable by matching on the game ID. Prerequisites Before implementing this workflow, ensure you have the following: TheOddsAPI Account & API Key Sign up at TheOddsAPI and obtain an API key. Ensure you have the correct API permissions to access sports odds and results. Airtable Account & API Key Create an account at Airtable and set up a database. Obtain an API key from the Account Settings page. API Access & Rate Limits Review TheOddsAPI’s rate limits and ensure your account tier allows for scheduled API calls. Confirm that Airtable API limits align with your expected data retrieval frequency. Step-by-Step Guide to Integrating TheOddsAPI 1. Schedule API Requests Set up a trigger to automatically pull upcoming Ice Hockey games at the start of each day. 2. Fetch Data from TheOddsAPI Retrieve the latest sports betting data, including game details and odds, using TheOddsAPI. 3. Store Data in Airtable Insert or update records in Airtable by matching game IDs, ensuring data accuracy. Sample Airtable Template Column Setup for Ice Hockey (Table can adjust depending on sport and data needs. Reference TheOddsAPI for more documentation.) Game ID** Sport** League** Game Date (UTC)** Home Team** Away Team** Completed** (Boolean: TRUE/FALSE for game completion status) Scores** (JSON or String for final scores) Last Update** (Timestamp of the latest update) 4. Schedule an End-of-Day Update Configure another trigger to fetch final game results at the end of the day. 5. Update Records in Airtable Modify existing Airtable records with final scores and game outcomes for complete tracking. 6. Customize for Other Sports Adjust API parameters to retrieve data for different sports and betting odds, making the system flexible for multiple use cases. This structured workflow automates sports betting data collection and updates, ensuring accurate and real-time tracking of odds and game results. By integrating TheOddsAPI with Airtable, you can build scalable applications for predictive sports analytics and betting insights.

This n8n template allows you to instantly fetch a random dog image from the Dog CEO API by simply sending a webhook request. It's a fun and simple way to integrate random dog photos into your projects, whether for websites, applications, or playful automations. 🔧 How it works Trigger Webhook: This node acts as the entry point for the workflow. It listens for any incoming POST request. No specific data is required in the webhook body, as the workflow fetches a random image. Fetch Random Dog Image: This node makes an HTTP GET request to https://dog.ceo/api/breeds/image/random. The API responds with a JSON object containing the URL of a random dog image. Respond with Image URL: This node sends the URL of the random dog image back to the service that initiated the webhook. 👤 Who is it for? This workflow is ideal for: Developers: Quickly integrate random dog images into web applications, bots, or prototypes. Content Creators: Get fresh, random dog photos for social media, blogs, or presentations. Learning n8n: A straightforward example of using a webhook to trigger an API call and return data. Anyone who loves dogs! 📑 Data Structure When you trigger the webhook, you can send an empty POST request body. The workflow will return a JSON response similar to this (the message URL will vary): { "message": "https://images.dog.ceo/breeds/hound-walker/n02089867_2626.jpg", "status": "success" } ⚙️ Setup Instructions Import Workflow: In your n8n editor, click "Import from JSON" and paste the provided workflow JSON. Configure Webhook Path: Double-click the Trigger Webhook node. In the 'Path' field, set a unique and descriptive path (e.g., /get-dog-image). Activate Workflow: Save and activate the workflow. 📝 Tips Download the Image: Instead of just returning the URL, you can download the image and then process it. Insert another HTTP Request node after Fetch Random Dog Image to download the image binary. Set the HTTP Request node's 'Response Format' to 'Binary'. Use the expression ={{ $json.message }} for the URL. Save to Cloud Storage: After downloading the image (as described above), you can save it to various cloud storage services: Google Drive: Add a Google Drive node. Connect it to the output of the image download node. Configure it to upload the binary data to a specific folder. Amazon S3: Add an AWS S3 node. Configure it to upload the binary data, specifying your bucket and desired filename. Dropbox: Use the Dropbox node to upload the image file. Send as a Message: Share the dog image directly in a chat or email: Slack/Discord/Telegram: Use the respective integration node to send the image URL or the downloaded image as an attachment. Email: Attach the downloaded image to an email using an Email or Gmail node. Display on a Web Page: If you're embedding this into a web application, you can simply use the returned URL in an tag to display the image. Error Handling: You can add an Error Trigger node to catch any issues during the image fetching process (e.g., if the Dog CEO API is down) and send notifications.

Workflow Overview This cutting-edge n8n automation is a powerful social media intelligence gathering tool designed to transform Instagram profile research into a seamless, automated process. By intelligently combining web scraping, data formatting, and cloud storage technologies, this workflow: Discovers Profile Insights: Automatically scrapes Instagram profile data Captures comprehensive profile metrics Extracts critical social media intelligence Intelligent Data Capture: Retrieves follower counts Collects biographical information Captures profile picture and external links Seamless Data Logging: Automatically stores data in Google Sheets Creates a living, updateable database Enables easy analysis and tracking Key Benefits 🤖 Full Automation: Instant profile intelligence 💡 Comprehensive Insights: Detailed social media metrics 📊 Effortless Tracking: Automated data collection 🌐 Multi-Purpose Research: Flexible data gathering Workflow Architecture 🔹 Stage 1: Trigger & Input Form-Based Trigger**: Manual username submission Webhook Support**: Flexible data entry methods User-Driven Initiation** 🔹 Stage 2: Web Scraping Apify Integration**: Robust Instagram data extraction Comprehensive Profile Scanning**: Followers count Following count Profile biography Profile picture URL 🔹 Stage 3: Data Formatting Intelligent Data Mapping** Standardized Data Structure** Preparation for Storage** 🔹 Stage 4: Cloud Logging Google Sheets Integration** Persistent Data Storage** Easy Access and Analysis** Potential Use Cases Influencer Marketing**: Talent identification Competitive Intelligence**: Audience research Social Media Analysis**: Performance tracking Recruitment**: Talent scouting Brand Partnerships**: Collaboration opportunities Setup Requirements Apify Account Instagram scraping actor API token Configured scraping parameters Google Sheets Connected Google account Prepared tracking spreadsheet Appropriate sharing settings n8n Installation Cloud or self-hosted instance Workflow configuration API credential management Future Enhancement Suggestions 🤖 Advanced profile scoring 📊 Engagement rate calculation 🔔 Real-time change alerts 🌐 Multi-platform profile tracking 🧠 AI-powered insights generation Technical Considerations Implement robust error handling Use exponential backoff for API calls Maintain flexible data extraction strategies Ensure compliance with platform terms of service Ethical Guidelines Respect user privacy Use data for legitimate research Maintain transparent data collection practices Provide opt-out mechanisms Connect With Me Ready to unlock social media insights? 📧 Email: Yaron@nofluff.online 🎥 YouTube: @YaronBeen 💼 LinkedIn: Yaron Been Transform your social media research with intelligent, automated workflows! #InstagramDataScraping #SocialMediaIntelligence #InfluencerMarketing #DataAutomation #AIResearch #MarketingTechnology #SocialMediaAnalytics #ProfileIntelligence #WebScraping #MarketingTech

🔥 AI Lead Scoring Agent: Smart Contact Form Triager Automatically score every contact form lead as Hot/Warm/Cold and alert your sales team instantly. This intelligent workflow captures contact form submissions, uses GPT-4 to analyze message content and score lead quality, then sends formatted alerts to Slack - ensuring your sales team always focuses on the hottest prospects first. 🚀 What It Does Instant Lead Capture: Automatically receives contact form submissions via webhook endpoint AI-Powered Scoring: GPT-4 analyzes message content and classifies leads as Hot 🔥, Warm 🌤, or Cold ❄️ Smart Data Extraction: Cleanly extracts name, email, and message from form submissions Real-Time Slack Alerts: Sends formatted notifications to your sales team with lead details and AI scoring 🎯 Key Benefits ✅ Never Miss Hot Prospects: AI identifies urgent leads automatically ✅ Save Sales Time: Focus effort on highest-probability leads first ✅ Instant Team Alerts: Real-time notifications in Slack channels ✅ Smart Prioritization: AI scoring eliminates guesswork in lead quality ✅ Zero Manual Work: Complete automation from form to sales alert ✅ Universal Integration: Works with any contact form or landing page 🏢 Perfect For Sales & Marketing Teams SaaS companies managing inbound leads Service businesses qualifying prospects E-commerce stores identifying serious buyers Agencies prioritizing client inquiries Business Applications Lead Qualification**: Identify purchase-ready prospects instantly Sales Efficiency**: Focus team effort on highest-value opportunities Response Prioritization**: Handle urgent inquiries first Team Coordination**: Keep entire sales team informed of new leads ⚙️ What's Included Complete Workflow: Ready-to-deploy lead scoring automation Webhook Endpoint: Receives submissions from any contact form AI Classification: GPT-4 powered lead interest analysis Slack Integration: Professional team notifications with emojis and formatting Data Processing: Clean extraction and formatting of lead information 🔧 Quick Setup Requirements n8n Platform**: Cloud or self-hosted instance OpenAI API**: GPT-4 access for lead scoring Slack Workspace**: Team channel for lead notifications Contact Form**: Any form that can POST to webhook endpoint 📱 Sample Slack Alert 🔥 New Lead: Sarah Johnson (sarah@techstartup.com) Message: "We're looking for a project management solution for our 50-person team. Need to implement ASAP as we're scaling fast. Can we schedule a demo this week?" Triage: 🔥 Hot ❄️ New Lead: John Smith (john@email.com) Message: "Just browsing your website. Might be interested in learning more someday." Triage: ❄️ Cold 🎨 Customization Options Scoring Criteria: Adjust AI prompts for industry-specific lead qualification Team Channels: Route different lead types to specific Slack channels Additional Fields: Capture company size, budget, timeline data CRM Integration: Connect to Salesforce, HubSpot, or Pipedrive Follow-up Automation: Trigger email sequences based on lead temperature Analytics Tracking: Monitor lead quality trends and conversion rates 🏷️ Tags & Categories #lead-scoring #sales-automation #contact-form-processing #ai-qualification #slack-integration #prospect-management #inbound-marketing #sales-productivity #lead-generation #openai-integration #webhook-automation #crm-automation #sales-alerts #lead-triage #ai-agent 💡 Use Case Examples SaaS Company: Score demo requests based on company size and urgency mentions Consulting Firm: Identify clients ready to start projects vs those still researching E-commerce Store: Spot bulk buyers and wholesale inquiries vs casual browsers Marketing Agency: Prioritize clients with specific budgets and timelines mentioned 📈 Expected Results 70% faster** lead response times through smart prioritization 3x higher** conversion rates focusing on Hot leads first 50% time savings** on manual lead qualification 100% lead coverage** - never miss or ignore a prospect again 🛠️ Setup & Support 5-Minute Setup: Simple webhook configuration with any contact form Universal Integration: Works with WordPress, Webflow, custom forms, landing pages Team Training: Clear Slack notification format anyone can understand Scalable: Handles unlimited form submissions automatically 📞 Get Help & Resources YouTube: https://www.youtube.com/@YaronBeen/videos 💼 Sales Automation Support LinkedIn: https://www.linkedin.com/in/yaronbeen/ 📧 Direct Help Email: Yaron@nofluff.online - Response within 24 hours Ready to never miss another hot lead? Get this AI Lead Scoring Agent and transform your contact forms into intelligent lead qualification systems. Your sales team will always know which prospects to call first, and you'll never waste time on cold leads again. Stop treating all leads equally. Start prioritizing the ones ready to buy.