---
title: "AMPECO Case Study | A self-serve ABM engagement dashboard"
description: "AMPECO's account-level engagement dashboard surfacing LinkedIn signal monthly. Self-serve for both Marketing and Sales."
url: "https://vertodigital.com/case-studies/ampeco-abm-tracking"
image: "https://vertodigital.com/images/site/og-default.png"
---

# A self-serve ABM engagement dashboard.

 

Account-level engagement data from LinkedIn - visible, persistent, actionable for both Marketing and Sales.

 

1

 

self-serve dashboard

 

Always-on

 

dynamic audiences

 

MoM

 

engagement tracking

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

The company

 

## About AMPECO.

 

AMPECO is an EV charging management platform that helps charge point operators, energy companies, and fleet operators run their EV charging businesses end-to-end. The product sits inside the EV charging software category - alongside Driivz, ChargeLab, and Etrel - and competes on its hardware-agnostic platform, modular architecture, and depth of operational features for both commercial and fleet operators.

 

The buyer is the CPO/CTO at charge point operators, energy companies, and fleet operators. The sales motion is enterprise-driven, with named-account targeting and complex multi-stakeholder buying committees spanning operations, technology, and energy/utility leadership.

 

At a glance

 Industry EV Charging Software Engagement Outbound + Pipeline Intelligence Timeframe Always-on program 

The problem

 

## The problem.

 

AMPECO is running ABM campaigns to geography-defined account lists, sourced dynamically through the HubSpot↔LinkedIn integration. The wider organization, especially the Sales team, wanted access to existing data on Account-level engagement available in the LinkedIn interface but inaccessible for monitoring over time. Without a way to see how each account had engaged across months, it was hard to correlate Paid ABM efforts with active Sales conversations.

 

The work

 

## What we built.

 

In LinkedIn, we created Company List Segments based on how each account interacted with the brand: Low-Engaged / Medium-Engaged / High-Engaged groups. These dynamic audiences powered Always-On campaigns continuously targeting Low and Medium engaged accounts to influence status upgrades. Since the engagement data isn't available through any API, we created an automated data source surfacing aggregated summaries of engagement shifts, plus a breakdown of how each company has progressed in Impressions, Members Targeted, and Status Change MoM.

 

The outcomes

 

## What changed.

 

1

 

self-serve dashboard.

 

Marketing assesses ABM performance, plans budget distribution, and proves the value of Demand Creation campaigns.

 

Always-on

 

dynamic audiences.

 

Low and Medium engaged accounts continuously targeted to influence status upgrades.

 

MoM

 

engagement tracking.

 

Sales prioritizes accounts based on engagement and proactively creates outreach initiatives for engaged prospects.

 

Engagement data that lived inside the LinkedIn UI is now persistent, queryable, and actionable for both teams.

 

The services

 

## Services behind the work.

 

Service 01

 

### Outbound Pipeline Growth

 

ABM campaign architecture targeting engagement-defined account segments.

 

Service 02

 

### LinkedIn AI Targeting

 

Company List Segments by engagement tier; Always-On campaigns to upgrade status.

 

Service 03

 

### Pipeline Intelligence

 

Custom data source aggregating LinkedIn engagement signal into a persistent dashboard.

 

## Related work

 [All case studies](https://vertodigital.com/case-studies) AMPECO 

EV Charging

 

58% more cold meetings

 

AMPECO: contact-level ABM for buying groups

 [Read case study](https://vertodigital.com/case-studies/ampeco) IRONSCALES 

Cybersecurity

 

2.3× pipeline in 90 days

 

IRONSCALES grew pipeline 227% in 90 days

 [Read case study](https://vertodigital.com/case-studies/ironscales) SnapLogic 

iPaaS

 

68% MQL, 47% SQL increase

 

SnapLogic: one year of value-based bidding

 [Read case study](https://vertodigital.com/case-studies/snaplogic-vbb) 

Free · 5 business days · No commitment

 

## See whether your pipeline could move like this.

 

The Pipeline Assessment is the same diagnostic we ran with AMPECO before the engagement. 5 business days. 30 minutes of your time. Yours to keep.

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