Back to Catalog

Automate B2B SaaS renewal risk management with CRM, support & usage data

Yassin ZeharYassin Zehar
239 views
2/3/2026
Official Page

Description

This workflow is designed for B2B/SaaS teams who want to secure renewals before it’s too late.

It runs every day, identifies all accounts whose licenses are up for renewal in J–30, enriches them with CRM, product usage and support data, computes an internal churn risk level, and then triggers the appropriate playbook:

  • HIGH risk → full escalation (tasks, alerts, emails)
  • MEDIUM risk → proactive follow-up by Customer Success
  • LOW risk → light renewal touchpoint / monitoring

Everything is logged into a database table so that you can build dashboards, run analysis, or plug additional automations on top.


How it works

image.png

  1. Daily detection (J–30 renewals)
    A scheduled trigger runs every morning and queries your database (Postgres / Supabase) to fetch all active subscriptions expiring in 30 days. Each row includes the account identifier, name, renewal date and basic commercial data.

  2. Data enrichment across tools
    For each account, the workflow calls several business systems to collect context:

    • HubSpot → engagement history
    • Salesforce → account profile and segment
    • Pipedrive → deal activities and associated products
    • Analytics API → product feature usage and activity trends
    • Zendesk → recent support tickets and potential friction signals

    All of this is merged into a single, unified item.

  3. Churn scoring & routing
    An internal scoring step evaluates the risk for each account based on multiple signals (engagement, usage, support, timing).
    The workflow then categorizes each account into one of three risk levels:

    • HIGH – strong churn signals → needs immediate attention
    • MEDIUM – some warning signs → needs proactive follow-up
    • LOW – looks healthy → light renewal reminder

    A Switch node routes each account to the relevant playbook.

  4. Automated playbooks

    • 🔴 HIGH risk

      • Create a Trello card on a dedicated “High-Risk Renewals” board/list
      • Create a Jira ticket for the CS / AM team
      • Send a Slack alert in a designated channel
      • Send a detailed email to the CSM and/or account manager
    • 🟠 MEDIUM risk

      • Create a Trello card in a “Renewals – Follow-up” list
      • Send a contextual email to the CSM to recommend a proactive check-in
    • 🟢 LOW risk

      • Send a soft renewal email / internal note to keep the account on the radar
  5. Logging & daily reporting For every processed account, the workflow prepares a structured log record (account, renewal date, risk level, basic context).
    A Postgres node is used to insert the data into a churn_logs table.

    At the end of each run, all processed accounts are aggregated and a daily summary email is sent (for example to the Customer Success leadership team), listing the renewals and their risk levels.


Requirements

  1. Database

    • A table named churn_logs (or equivalent) to store workflow decisions and history.
      Example fields: account_id, account_name, end_date, riskScore, riskLevel, playbook, trello_link, jira_link, timestamp.
  2. External APIs

    • HubSpot (engagement data)
    • Salesforce (account profile)
    • Pipedrive (deals & products)
    • Zendesk (support tickets)
    • Optional: product analytics API for usage metrics
  3. Communication & task tools

    • Gmail (emails to CSM / AM / summary recipients)
    • Slack (alert channel for high-risk cases)
    • Trello (task creation for CS follow-up)
    • Jira (escalation tickets for high-risk renewals)
  4. Configuration variables

    • Thresholds are configured in the Init config & thresholds node:
      • days_before_renewal
      • churn_threshold_high
      • churn_threshold_medium
    • These parameters let you adapt the detection window and risk sensitivity to your own business rules.

Typical use cases

  • Customer Success teams who want a daily churn watchlist without exporting spreadsheets.
  • RevOps teams looking to standardize renewal playbooks across tools.
  • SaaS companies who need to prioritize renewals based on real risk signals rather than gut feeling.
  • Product-led organizations that want to combine usage data + CRM + support into one automated process.

Tutorial video

Watch the Youtube Tutorial video

About me :

I’m Yassin a Project & Product Manager Scaling tech products with data-driven project management. 📬 Feel free to connect with me on Linkedin

Automate B2B SaaS Renewal Risk Management with CRM & Usage Data

This n8n workflow streamlines the process of identifying and managing renewal risks for B2B SaaS customers by integrating CRM data (Pipedrive, HubSpot, Salesforce) with product usage data (Postgres, custom API). It allows for proactive intervention, creating tasks in project management tools (Jira, Trello), notifying teams (Slack, Gmail), and updating CRM records based on defined risk criteria.

What it does

This workflow performs the following key steps:

  1. Triggers on a Schedule: The workflow starts automatically at predefined intervals.
  2. Fetches Customer Data: It retrieves customer information from various CRM systems (Pipedrive, HubSpot, Salesforce).
  3. Fetches Usage Data: It pulls product usage data from a PostgreSQL database and a generic HTTP API, likely representing custom usage metrics.
  4. Combines Data: It merges the CRM and usage data for each customer into a single, comprehensive record.
  5. Processes Data in Batches: Each customer's combined data is processed individually to manage API rate limits and ensure granular handling.
  6. Calculates Renewal Risk: It applies logic (via the "Edit Fields" node) to determine the renewal risk level for each customer based on their CRM status and usage patterns.
  7. Routes Based on Risk Level:
    • High Risk: Creates a task in Jira or Trello, sends a notification to Slack, and updates the customer record in the CRM (Pipedrive, HubSpot, Salesforce).
    • Medium Risk: Creates a task in Jira or Trello, sends an email notification via Gmail, and updates the customer record in the CRM.
    • Low/No Risk: Simply updates the customer record in the CRM, indicating that no immediate action is required.
  8. Aggregates Results: After processing all customers, it aggregates the outcomes of the various actions taken.
  9. Finalizes Operation: A "No Operation" node marks the end of the workflow's processing.

Prerequisites/Requirements

To use this workflow, you will need accounts and credentials for the following services:

  • CRM System:
    • Pipedrive
    • HubSpot
    • Salesforce
  • Database:
    • PostgreSQL
  • API:
    • Access to a custom API for usage data (requires an HTTP Request node configuration)
  • Project Management:
    • Jira Software
    • Trello
  • Communication:
    • Slack
    • Gmail
    • Zendesk (optional, if used for customer support tickets related to risk)
  • n8n:
    • An active n8n instance.

Setup/Usage

  1. Import the Workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials: For each service node (Pipedrive, HubSpot, Salesforce, Postgres, HTTP Request, Jira, Trello, Slack, Gmail, Zendesk), you will need to set up the appropriate credentials.
  3. Customize Data Retrieval:
    • Postgres: Configure the "Postgres" node to query your customer usage data.
    • HTTP Request: Adjust the "HTTP Request" node to call your specific usage data API, including authentication and parameters.
    • CRM Nodes: Configure the "Pipedrive", "HubSpot", and "Salesforce" nodes to fetch relevant customer details.
  4. Define Risk Logic:
    • Modify the "Edit Fields" node to define your specific criteria for calculating "renewalRisk" based on the combined CRM and usage data. This is where you'd implement your business rules for risk assessment.
  5. Configure Conditional Logic:
    • The "Switch" node routes items based on the renewalRisk field. Ensure the conditions match your defined risk levels (e.g., "High", "Medium", "Low").
  6. Customize Actions:
    • Jira/Trello: Configure the "Jira Software" and "Trello" nodes to create tasks with appropriate details for high and medium-risk customers.
    • Slack/Gmail/Zendesk: Configure the "Slack", "Gmail", and "Zendesk" nodes to send notifications or create tickets with relevant information.
    • CRM Updates: Ensure the CRM nodes are configured to update customer records with the calculated renewalRisk or other relevant status changes.
  7. Set Schedule: Configure the "Schedule Trigger" node to run the workflow at your desired frequency (e.g., daily, weekly).
  8. Activate the Workflow: Once configured, activate the workflow to begin automating your renewal risk management.

Related Templates

Automate event RSVPs with email validation & badge generation using VerifiEmail & HTMLCssToImage

Validated RSVP Confirmation with Automated Badge Generation Overview: This comprehensive workflow automates the entire event RSVP process from form submission to attendee confirmation, including real-time email validation and personalized digital badge generation. ✨ KEY FEATURES: • Real-time Email Validation - Verify attendee emails using VerifiEmail API to prevent fake registrations • Automated Badge Generation - Create beautiful, personalized event badges with attendee details • Smart Email Routing - Send confirmation emails with badges for valid emails, rejection notices for invalid ones • Comprehensive Logging - Track all RSVPs (both valid and invalid) in Google Sheets for analytics • Dual Path Logic - Handle valid and invalid submissions differently with conditional branching • Anti-Fraud Protection - Detect disposable emails and invalid domains automatically 🔧 WORKFLOW COMPONENTS: Webhook Trigger - Receives RSVP submissions Email Validation - Verifies email authenticity using VerifiEmail API Conditional Logic - Separates valid from invalid submissions Badge Creator - Generates HTML-based personalized event badges Image Converter - Converts HTML badges to shareable PNG images using HTMLCssToImage Email Sender - Delivers confirmation with badge or rejection notice via Gmail Data Logger - Records all attempts in Google Sheets for tracking and analytics 🎯 PERFECT FOR: • Conference organizers managing hundreds of RSVPs • Corporate event planners requiring verified attendee lists • Webinar hosts preventing fake registrations • Workshop coordinators issuing digital badges • Community event managers tracking attendance 💡 BENEFITS: • Reduces manual verification time by 95% • Eliminates fake email registrations • Creates professional branded badges automatically • Provides real-time RSVP tracking and analytics • Improves attendee experience with instant confirmations • Maintains clean, verified contact lists 🛠️ REQUIRED SERVICES: • n8n (cloud or self-hosted) • VerifiEmail API (https://verifi.email) • HTMLCssToImage API (https://htmlcsstoimg.com) • Gmail account (OAuth2) • Google Sheets 📈 USE CASE SCENARIO: When someone submits your event RSVP form, this workflow instantly validates their email, generates a personalized badge with their details, and emails them a confirmation—all within seconds. Invalid emails receive a helpful rejection notice, and every submission is logged for your records. No manual work required! 🎨 BADGE CUSTOMIZATION: The workflow includes a fully customizable HTML badge template featuring: • Gradient background with modern design • Attendee name, designation, and organization • Event name and date • Email address and validation timestamp • Google Fonts (Poppins) for professional typography 📊 ANALYTICS INCLUDED: Track metrics like: • Total RSVPs received • Valid vs invalid email ratio • Event-wise registration breakdown • Temporal patterns • Organization/company distribution ⚡ PERFORMANCE: • Processing time: ~3-5 seconds per RSVP • Scales to handle 100+ concurrent submissions • Email delivery within 10 seconds • Real-time Google Sheets updates 🔄 EASY SETUP: Import the workflow JSON Configure your credentials (detailed instructions included) Create your form with required fields (name, email, event, designation, organization) Connect the webhook Activate and start receiving validated RSVPs! 🎓 LEARNING VALUE: This workflow demonstrates: • Webhook integration patterns • API authentication methods • Conditional workflow branching • HTML-to-image conversion • Email automation best practices • Data logging strategies • Error handling techniques ---

Jitesh DugarBy Jitesh Dugar
67

Automatically detect & classify GitHub API errors with GPT-4o to Airtable, Notion & Slack

Automatically detect, classify, and document GitHub API errors using AI. This workflow connects GitHub, OpenAI (GPT-4o), Airtable, Notion, and Slack to build a real-time, searchable API error knowledge base — helping engineering and support teams respond faster, stay aligned, and maintain clean documentation. ⚙️📘💬 🚀 What This Template Does 1️⃣ Triggers on new or updated GitHub issues (API-related). 🪝 2️⃣ Extracts key fields (title, body, repo, and link). 📄 3️⃣ Classifies issues using OpenAI GPT-4o, identifying error type, category, root cause, and severity. 🤖 4️⃣ Validates & parses AI output into structured JSON format. ✅ 5️⃣ Creates or updates organized FAQ-style entries in Airtable for quick lookup. 🗂️ 6️⃣ Logs detailed entries into Notion, maintaining an ongoing issue knowledge base. 📘 7️⃣ Notifies the right Slack team channel (DevOps, Backend, API, Support) with concise summaries. 💬 8️⃣ Tracks & prevents duplicates, keeping your error catalog clean and auditable. 🔄 💡 Key Benefits ✅ Converts unstructured GitHub issues into AI-analyzed documentation ✅ Centralizes API error intelligence across teams ✅ Reduces time-to-resolution for recurring issues ✅ Maintains synchronized records in Airtable & Notion ✅ Keeps DevOps and Support instantly informed through Slack alerts ✅ Fully automated, scalable, and low-cost using GPT-4o ⚙️ Features Real-time GitHub trigger for API or backend issues GPT-4o-based AI classification (error type, cause, severity, confidence) Smart duplicate prevention logic Bi-directional sync to Airtable + Notion Slack alerts with contextual AI insights Modular design — easy to extend with Jira, Teams, or email integrations 🧰 Requirements GitHub OAuth2 credentials OpenAI API key (GPT-4o recommended) Airtable Base & Table IDs (with fields like Error Code, Category, Severity, Root Cause) Notion integration with database access Slack Bot token with chat:write scope 👥 Target Audience Engineering & DevOps teams managing APIs Customer support & SRE teams maintaining FAQs Product managers tracking recurring API issues SaaS orgs automating documentation & error visibility 🪜 Step-by-Step Setup Instructions 1️⃣ Connect your GitHub account and enable the “issues” webhook event. 2️⃣ Add OpenAI credentials (GPT-4o model for classification). 3️⃣ Create an Airtable base with fields: Error Code, Category, Root Cause, Severity, Confidence. 4️⃣ Configure your Notion database with matching schema and access. 5️⃣ Set up Slack credentials and choose your alert channels. 6️⃣ Test with a sample GitHub issue to validate AI classification. 7️⃣ Enable the workflow — enjoy continuous AI-powered issue documentation!

Rahul JoshiBy Rahul Joshi
41

Cluster webpage topics from Google Sheets to Google Sheets for AI discovery

📊 Description Streamline AI-focused SEO research by automatically analyzing URLs stored in Google Sheets, extracting semantic signals from each webpage, and generating high-quality topic clusters for AI discovery. 🤖🔍 This automation fetches URLs weekly, scrapes headings (H1–H6), extracts entities, keywords, topics, and summaries using GPT-4o-mini, and classifies each page into clusters and subclusters optimized for LLM search visibility. It also generates internal linking suggestions for better topical authority and writes all results back into Google Sheets. Perfect for content strategists, SEO teams, and AI-search optimization workflows. 📈🧩 🔁 What This Template Does 1️⃣ Triggers weekly to process URLs stored in Google Sheets. 📅 2️⃣ Fetches all URL records from the configured sheet. 📥 3️⃣ Processes URLs in batches to avoid API overload. 🔁 4️⃣ Extracts webpage HTML and pulls semantic headings (H1–H6). 📰 5️⃣ Sends headings + URL context to GPT-4o-mini for structured extraction of: — title — entities — keywords — topics — summary 6️⃣ Generates high-level cluster + subcluster labels for each page. 🧠 7️⃣ Recommends 3–5 internal linking URLs to strengthen topical authority. 🔗 8️⃣ Updates Google Sheets with all extracted fields + status flags. 📊 9️⃣ Repeats the process until all URLs are analyzed. 🔄 ⭐ Key Benefits ✅ Automates topical clustering for AI search optimization ✅ Extracts entities, keywords, and topics with high semantic accuracy ✅ Strengthens internal linking strategies using AI suggestions ✅ Eliminates manual scraping and analysis work ✅ Enables scalable content audits for large URL datasets ✅ Enhances visibility in AI-driven search systems and answer engines 🧩 Features Google Sheets integration for input + output HTML parsing for H1–H6 extraction GPT-4o-mini structured JSON extraction Topic clustering engine (cluster & subcluster classification) Internal linking recommendation generator Batch processing for large URL datasets Status-based updating in Google Sheets 🔐 Requirements Google Sheets OAuth2 credentials OpenAI API key (GPT-4o-mini) Publicly accessible URLs (or authenticated HTML if applicable) n8n with LangChain nodes enabled 🎯 Target Audience SEO teams performing semantic clustering at scale Content strategists creating AI-ready topic maps Agencies optimizing large client URL collections AI-search consultants building structured content libraries Technical marketers needing automated content analysis

Rahul JoshiBy Rahul Joshi
143