Client Inbound Lead Automation

Overview

This document outlines a production-grade AI-powered automation built for client by helt.partners. The goal was to dramatically improve the conversion rate of inbound leads by reducing response time and increasing the quality of first-touch outreach.

Problem Statement

client generates a significant volume of warm inbound leads through its website. These leads are highly valuable because:

• They have already expressed intent
• They are actively evaluating solutions
• They are most responsive immediately after submission

However, several structural problems reduced conversion rates:

1. Slow Response Time

Leads were not being contacted quickly enough after submission. This is critical because:

• Lead intent decays rapidly
• Competitors may engage first
• Delay reduces booking probability significantly

2. Suboptimal SDR Performance

While client had internal sales processes, their conversion rates were lower compared to helt.partners' SDR team.

3. CRM Fragmentation

All inbound leads were stored inside client’s CRM, but:

• The outbound calling team (helt.partners) operated in Close CRM
• There was no seamless way to transfer leads in real-time

4. Missing Contact Data

Many leads submitted forms without phone numbers, making immediate outreach impossible.

Strategic Objective

The objective was not just automation—it was conversion optimization through speed, enrichment, and AI-assisted execution.

Specifically:

• Capture inbound leads instantly
• Transfer them to the correct execution environment (Close CRM)
• Ensure every lead is call-ready within seconds
• Equip SDRs with AI-generated context and scripts
• Trigger immediate action

Solution Architecture

We designed a real-time automation pipeline using Make (formerly Integromat), integrating:

• Webhooks (lead ingestion)
• Close CRM (lead management)
• Lusha API (data enrichment)
• OpenAI (script generation)
• Email notifications (execution trigger)

The system ensures that every inbound lead is processed, enriched, structured, and actionable within seconds.

Step-by-Step Automation Breakdown

1. Webhook Trigger – Lead Capture

Trigger: A user submits a form on client’s website.

• A webhook is fired instantly
• Payload includes:
  • Name
  • Email
  • Company
  • Product interest
  • Reason for interest

Why this matters:

• Eliminates polling or delays
• Enables real-time processing

2. Domain Extraction

• The system extracts the domain from the email address
  • Example:

    john@company.com → company.com

Why this matters:

• Domain acts as a unique company identifier
• Prevents duplicate company creation
• Enables accurate CRM matching

3. CRM Lookup (Close CRM)

• The system searches Close CRM for an existing lead using the domain

Two possible outcomes:

Case A: Lead Exists

• Create a new contact under the existing company

Case B: Lead Does Not Exist

• Create a new lead (company) using the domain

Why this matters:

• Maintains CRM hygiene
• Avoids duplication
• Preserves account-level context

4. Phone Number Check

• The system checks whether the submitted form includes a phone number

If phone number exists:

• Proceed directly

If missing:

• Trigger enrichment via Lusha API

Why this matters:

• Calling is the primary conversion channel
• Missing phone numbers = lost opportunities

5. Data Enrichment (Lusha)

• The system queries Lusha using:

  • Email
  • Domain

• Retrieves:

  • Direct phone numbers
  • Additional contact data

Why this matters:

• Converts non-callable leads into callable ones
• Increases reachable lead volume

6. Contact Creation in Close CRM

• A fully enriched contact is created or updated in Close CRM

Includes:

• Name
• Email
• Phone number (original or enriched)
• Company association

Why this matters:

• Ensures SDRs have complete, actionable records

7. AI Call Script Generation (OpenAI)

• The system generates a custom call script using:
  • Lead’s stated interest
  • Product context
  • Reason for inquiry

Output includes:

• Opening hook
• Value proposition
• Key talking points
• Objection handling cues

Why this matters:

• Reduces SDR preparation time to near zero
• Standardizes quality of outreach
• Personalizes every interaction

8. CRM Note Creation

• The generated script is saved as a note inside Close CRM

Why this matters:

• Keeps all context centralized
• Enables SDRs to act without switching tools

9. SDR Notification

• An automated email is sent to the responsible SDR

Includes:

• Lead details
• Context
• Urgency to act immediately

Why this matters:

• Creates instant accountability
• Drives rapid follow-up
• Aligns behavior with inbound urgency

System Flow Summary

1. Lead submits form → webhook triggered
2. Domain extracted from email
3. CRM checked for existing company
4. Lead/contact created accordingly
5. Phone number validated or enriched via Lusha
6. Contact finalized in Close CRM
7. AI generates tailored call script
8. Script saved as CRM note
9. SDR notified instantly

Key Design Decisions (and Why They Matter)

Real-Time Processing vs Batch

We chose real-time automation because:

• Speed directly correlates with conversion
• First contact advantage is critical

Domain-Based Matching

Instead of relying on names:

• Domains provide higher accuracy
• Prevent duplicate companies

AI at the Point of Execution

AI is used right before the call, not earlier

Reason:

• Maximizes relevance
• Uses freshest data
• Reduces wasted computation

Enrichment as a Conditional Step

Lusha is only triggered when needed

Reason:

• Reduces cost
• Improves efficiency

CRM-Centric Workflow

All outputs are stored in Close CRM

Reason:

• Keeps SDR workflow frictionless
• Avoids tool switching

Business Impact

This automation transforms inbound lead handling from:

Slow, fragmented, and inconsistent

→ into

Instant, enriched, and execution-ready

Expected Outcomes

• Faster lead response times (seconds vs hours)
• Higher contact rates
• Improved meeting booking rates
• Better SDR performance consistency

Positioning as an AI Automation Use Case

This system is not just integration—it is:

A conversion infrastructure layer that combines real-time data flow, enrichment, and AI-assisted execution.

It demonstrates how an AI automation agency can:

• Bridge disconnected systems
• Enhance human performance with AI
• Turn inbound demand into revenue faster

Final Takeaway

The core insight behind this system is simple but often ignored:

The value of a lead is highest the moment it is created.

This automation ensures that moment is never wasted.