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Score product-qualified leads with Amplitude, Claude & PDL for sales routing

Connor ProvinesConnor Provines
97 views
2/3/2026
Official Page

AI-Powered Product-Qualified Lead (PQL) Scoring & Sales Routing

One-Line Description

Automatically score product usage signals from Amplitude cohorts and route hot leads to sales with enriched context.

Detailed Description

What it does:

This workflow transforms behavioral data into sales-ready leads by instantly detecting when users hit your PQL threshold, enriching their profile with company intelligence, and using AI to score their conversion potential. Hot leads are routed directly to sales with personalized conversation starters, while warm and cold leads enter appropriate nurture sequences.

Who it's for:

  • Product-led growth (PLG) teams bridging the gap between product adoption and sales conversion
  • Sales development teams needing real-time alerts on high-intent users with actionable context
  • Revenue operations professionals optimizing lead handoff processes between product and sales

Key Features:

  • Real-time PQL detection - Triggers instantly when users enter Amplitude behavior cohorts, eliminating manual lead review
  • Multi-source enrichment - Combines product usage data with company intelligence from People Data Labs and AI-powered research
  • AI-driven scoring - Evaluates usage intensity, ICP fit, intent signals, and timing to produce 0-10 lead scores with breakdown reasoning
  • Smart routing logic - Automatically categorizes leads as hot (8-10), warm (5-7), or cold (0-4) for appropriate follow-up workflows
  • Sales enablement context - Provides conversation starters, key insights, red flags, and handoff recommendations tailored to each lead
  • Customizable criteria - References external Google Doc for PQL rules, allowing non-technical teams to update scoring logic

How it works:

  1. Trigger: Amplitude fires webhook when user enters predefined PQL cohort based on product usage patterns
  2. Enrichment: Pulls company data from People Data Labs and conducts AI research on company stage, tech sophistication, and budget indicators
  3. AI Scoring: Agent evaluates combined usage + enrichment data against ICP criteria stored in Google Docs, producing structured scoring output
  4. Routing: High-scoring leads (hot) generate formatted Slack alerts for immediate sales outreach; warm/cold leads could trigger email sequences (not shown in this template)

Setup Requirements

Prerequisites:

  • Amplitude account with cohort webhook capability (Growth plan or higher)
  • People Data Labs API key for company/person enrichment (paid credits required)
  • Perplexity API for AI-powered company research
  • Anthropic Claude API for PQL scoring logic
  • Google Gemini API for Slack message formatting
  • Slack workspace with OAuth app configured for posting messages
  • Google Docs containing your PQL criteria and ICP definition (publicly readable or authenticated access)

Estimated Setup Time:

45-60 minutes including API credential configuration, Amplitude cohort definition, and PQL criteria document creation

Installation Notes

  • Amplitude cohort setup: Define your PQL cohort using behavioral criteria (e.g., "Users who viewed 5+ pages AND invited team members in last 7 days"). Configure webhook to fire on cohort entry.
  • PQL criteria document: Create a Google Doc outlining your scoring components (usage intensity factors, ICP requirements, intent signals). Update the Google Docs Tool node with your document URL.
  • Free email filtering: The workflow includes logic to flag free email domains (Gmail, Yahoo, etc.) which you may want to route differently
  • Testing tip: Use Amplitude's "Test Webhook" feature to send sample payloads before going live

Customization Options

  • Replace People Data Labs with Clearbit, Apollo, or other enrichment providers by swapping the HTTP Request node
  • Add CRM integration to automatically create opportunities or update lead scores in Salesforce/HubSpot
  • Extend routing paths by adding branches for warm/cold leads (e.g., trigger email sequences via Customer.io, Braze)
  • Adjust scoring weights by modifying the AI agent prompt or criteria document without touching workflow logic
  • Multi-channel alerts by duplicating output nodes to send to email, SMS, or CRM tasks in addition to Slack

Category

Sales

Tags

  • amplitude
  • pql
  • product-qualified-leads
  • sales-automation
  • lead-scoring
  • enrichment
  • people-data-labs
  • slack-notifications
  • ai-scoring
  • revenue-operations

Use Case Examples

  • SaaS PLG companies: Automatically escalate free trial users who hit usage milestones (API calls, integrations connected, team invites sent) to sales for upgrade conversations
  • Developer tools: Identify enterprise-ready accounts based on team size growth, deployment patterns, and GitHub integration usage, routing to enterprise sales team
  • B2B marketplaces: Surface buyers showing high-intent behavior (multiple searches, saved items, pricing page views) to account executives with company context for proactive outreach

Score Product Qualified Leads with Amplitude, Claude, & PDL for Sales Routing

This n8n workflow automates the process of scoring Product Qualified Leads (PQLs) by enriching lead data, generating a PQL score using an AI agent, and routing high-scoring leads to sales via Slack. It simplifies lead qualification, ensuring sales teams focus on the most promising prospects.

What it does

This workflow performs the following steps:

  1. Receives Lead Data: It starts by listening for incoming lead data via a webhook. This data is expected to contain an email address.
  2. Enriches Lead Data with PDL: It uses the PDL (People Data Labs) API to enrich the lead's profile based on their email, gathering additional professional and demographic information.
  3. Enriches Lead Data with Amplitude: It queries the Amplitude API to retrieve usage data and behavioral insights for the lead's user ID.
  4. Merges Data: It combines the enriched data from PDL and Amplitude into a single dataset.
  5. Prepares Data for AI Agent: It processes the merged data to extract relevant fields and formats them into a concise summary suitable for an AI agent.
  6. Generates PQL Score with AI Agent (Claude & Perplexity):
    • It utilizes an AI Agent powered by an Anthropic Chat Model (Claude) to analyze the combined lead data.
    • The AI Agent is equipped with a "Think" tool to reason through the data and a "Perplexity" tool to perform external searches if needed.
    • It generates a PQL score and a brief justification based on the provided lead and usage data.
  7. Filters High-Scoring Leads: It filters the leads, allowing only those with a PQL score above a predefined threshold (e.g., 70) to proceed.
  8. Notifies Sales on Slack: For high-scoring PQLs, it sends a detailed notification to a specified Slack channel, including the PQL score, justification, and key lead details.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Webhook: An endpoint configured to send lead data (at minimum, an email address) to the n8n webhook.
  • PDL (People Data Labs) API Key: For lead data enrichment.
  • Amplitude API Key: For user behavior and usage data.
  • Anthropic API Key: For the Claude AI model used by the AI Agent.
  • Perplexity API Key: For the Perplexity search tool used by the AI Agent.
  • Slack Account & API Token: To post notifications to a Slack channel.

Setup/Usage

  1. Import the Workflow: Import the provided JSON into your n8n instance.
  2. Configure Credentials:
    • Set up credentials for PDL, Amplitude, Anthropic, and Perplexity within n8n.
    • Configure your Slack credential.
  3. Activate Webhook: Once imported, activate the "Webhook" node and copy its URL. This is the endpoint where you will send your lead data.
  4. Configure Nodes:
    • HTTP Request (PDL): Ensure the API key is correctly configured in the credentials.
    • HTTP Request (Amplitude): Ensure the API key and any necessary Amplitude project/organization IDs are configured.
    • AI Agent:
      • Verify the "Anthropic Chat Model" is correctly linked to your Anthropic credential.
      • Verify the "Perplexity" tool is correctly linked to your Perplexity credential.
      • Review the prompt for the AI Agent to ensure it aligns with your PQL scoring criteria.
    • Filter: Adjust the PQL score threshold (item.json.pqlScore > 70) in the "Filter" node if desired.
    • Slack: Configure the Slack channel ID where you want to receive PQL notifications.
  5. Test the Workflow: Send a test lead payload to the webhook URL to ensure the workflow runs as expected and notifications are sent to Slack for qualified leads.

This workflow provides a robust and intelligent way to qualify leads, leveraging data enrichment and AI to streamline your sales processes.

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