---
title: "Neo4j Case Study | 157% more enterprise leads | VertoDigital"
description: "Neo4j's AI-powered campaigns delivered 157% net new enterprise leads at 54% lower cost per acquisition."
url: "https://vertodigital.com/case-studies/neo4j"
image: "https://vertodigital.com/images/site/og-default.png"
---

# 157% more enterprise leads.

 

AI campaigns powered by ICP signals from Neo4j's CRM - enterprise growth at half the CAC.

 

157%

 

net new enterprise leads

 

54%

 

CAC reduction

 

1

 

AI campaign type

 [Get Your Free Pipeline Assessment](https://vertodigital.com/assessment) [See all case studies](https://vertodigital.com/case-studies) 

The company

 

## About Neo4j.

 

Neo4j is the leading graph database technology company, helping organizations connect data and reveal relationships that traditional databases miss. The product sits inside the graph database and graph analytics category - alongside Amazon Neptune, TigerGraph, and ArangoDB - and competes on its mature graph query language and its strength in operational graph use cases at enterprise scale.

 

The buyer is the data architecture and engineering leadership: chief data officer, data architect, head of analytics engineering. The sales motion is enterprise-driven, with named-account targeting at large organizations exploring fraud detection, knowledge graphs, recommendation engines, and supply-chain analytics use cases.

 

At a glance

 Industry Graph Database Engagement Inbound + Pipeline Intelligence Timeframe Multi-quarter program 

The problem

 

## The problem.

 

Neo4j aimed to enhance the efficiency and growth of advertising while maximizing budget. They sought to increase the volume of net-new enterprise leads - the buyers most likely to convert into high-value, multi-year contracts. The challenge: getting Google Ads to optimize for genuine enterprise prospects, not the broader audience clicking on graph-database content.

 

The work

 

## What we built.

 

Neo4j implemented a new AI-based campaign type in Google Ads, supplied with offline signals from their CRM. The campaign type served ads across the entire Google inventory (Search, Display, Discovery, Gmail, YouTube) and optimized ad spend based on quality of contacts entering the CRM. With our help, Neo4j implemented an offline conversion based on their enterprise ICP. The ICP Lead signals powered both smart bidding in Google Ads and cross-channel reporting in Looker Studio.

 

The outcomes

 

## What changed.

 

157%

 

net new enterprise leads.

 

Enterprise lead volume more than doubled by feeding ICP-aligned offline signals into Google's AI-driven campaign type.

 

54%

 

CAC reduction.

 

Cost per acquisition of a net-new enterprise lead dropped 54% - better targeting, better economics.

 

1

 

AI campaign type.

 

A single Google AI-powered campaign type served the entire inventory: Search, Display, Discovery, Gmail, YouTube.

 

The customer voice

 

## In their words.

 

> “VertoDigital helped us tap into the power of machine learning to find new customer prospects and grow our high-performing audience segments to drive ROI.”

 

Lauren McCormack

 

Senior Manager, Digital and Marketing Automation, Neo4j

 

The services

 

## Services behind the work.

 

Service 01

 

### Inbound Pipeline Growth

 

AI-powered campaign rollout fed by enterprise-ICP signals from the CRM.

 

Service 02

 

### Paid Search

 

Google AI campaign type spanning Search, Display, Discovery, Gmail, and YouTube inventory.

 

Service 03

 

### Pipeline Intelligence

 

CRM-based ICP Lead signals powering both smart bidding and Looker Studio reporting.

 

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Free · 5 business days · No commitment

 

## See whether your pipeline could move like this.

 

The Pipeline Assessment is the same diagnostic we ran with Neo4j before the engagement. Five days. Three deliverables. No pitch deck.

 [Get Your Free Pipeline Assessment](https://vertodigital.com/assessment)
