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

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