Account Based Marketing | Facing problems in your ABM Execution?DM me! | Host of "The ABM WAY" Podcast| ABM Expertise for Enterprise SAAS companies in the US

Helping B2B SaaS Companies Win High-Value Deals with ABM

Most marketing teams are stuck chasing MQLs that never turn into revenue. The real problem? Your best-fit accounts aren’t engaging because your messaging, targeting, and execution aren’t aligned with how enterprise buyers make decisions today.

That’s where I come in.

I’m the founder of Fuego Systems, an Account-Based Marketing (ABM) agency specializing in helping B2B SaaS companies land and expand enterprise deals in the US. 

My approach is built on real-world execution, not theory. I’ve worked with growth-stage startups and enterprise SaaS companies to shift from generic lead gen to a highly targeted, high-impact ABM motion that drives the sales pipeline.

What I Do:
✅ ABM Strategy & Execution – From 1:1, 1:Few, to 1:Many, I help you build ABM programs that convert.
✅ Enterprise Demand Generation – No more spray-and-pray; I help you attract, engage, and win high-value accounts.
✅ Sales & Marketing Alignment – ABM fails when sales and marketing aren’t on the same page. I fix that.
✅ Personalized Outreach at Scale – Stop sending generic emails. I help you craft outreach that earns responses from CXOs.

What Makes Me Different?
💡 ABM Practitioner: I don’t just talk about ABM—I execute it daily. I share high-impact insights on LinkedIn to help marketers and CXOs refine their go-to-market strategies.
🎙️ Host of "The ABM Way" Podcast: I break down top B2B companies' strategies to win enterprise deals.
⚡ Hands-on Approach: Unlike traditional agencies, I work closely with your team to execute and optimize in real-time.
📊 Revenue-Focused, Not Vanity Metrics: ABM is not about MQLs but sales pipeline, deal velocity, and revenue growth.

Want to Fix Your ABM & Demand Gen Strategy?

Let’s connect. DM me or book a call to discuss how we can build an ABM program that works.

ABM Is Quietly killing Lead Scores.

Yes.

Lead scores are slowing failing.
AND
ABM is replacing it silently with Signals & Context.

No one admits it.
But it’s already happening inside serious enterprise GTM teams.


Lead scoring fails the moment you add:
-AI-generated activity
-Fake or inflated intent signals
-Automated outreach at scale

What used to be “signal” is now noise.

-Clicks are cheap.
-Downloads are automated.
-Engagement is orchestrated.

And AI made it worse.

Because when everyone looks interested,
No one is actually ready to buy.

That’s why lead scoring stopped working at enterprise scale.


ABM didn’t kill lead scoring quietly.
Not with a score,
But with qualification by context.


The shift looks like this:

1.Signals > scores
Real-world events & triggers.

2.Accounts > individuals
Enterprise buying isn’t a single person's behavior.

3.Context > activity
What changed in the business matters more than what someone clicked.


And intent data without activation is useless.

Knowing who might care means nothing if:
-You don’t know when to act
-You don’t know who should engage
-You don’t know how to enter the conversation

If your GTM still worships scores over context,
You’re qualifying activity & not opportunity.


And in enterprise sales,
That’s an expensive mistake.

Omprakash Karuppanan

Digital Marketing company of the year

Digital Marketing person of the year

Account Based Marketing

Inbound Marketing

Marketing Automation

Central Michigan University

University of Madras

English

Hindi

Spanish

Tamil

Fuego Systems

Account Based Marketing|GTM Advisor|Podcast Host

I am responsible for developing Client's Account based Marketing strategy and instituting effective training and knowledge transfer to Employees. I help to Identify new technologies & methodologies in ABM and establish practice across teams.I drive & train employees to learn new Account based Marketing campaign methodologies and implementation practices.

Some of my responsibilities include
•	Identify and Prioritize High-Value Accounts for clients on Account Based Marketing
•	Identify key-decision-makers and help build a personalized strategy for targeting 
•	Develop a personalized content strategy for various stages
•	Define the channels and media strategy
•	Programmatic Ads
•	Help clients track the right metrics

Account Based Marketing Specialist

B2B Lead Generation Specialist

Helping B2B companies gain competitive advantage via Account Based Marketing & Selling solutions.
Fuego Systems is a B2B demand generation & Orchestration Company helping IT & Software companies in the US increase their qualified pipeline and revenues. Our Account Based Marketing framework, helps clients create an Omni-channel personalized buyer journey and generate Sales qualified leads.
We believe that growth for B2B companies happens only when you understand your prospects intimately and reach them with hyper-personalized campaigns that are non-spammy. Our campaigns help you cut through the noise and get decision-makers to respond proactively.
Our user journeys are built for the way customers buy in 2022 and beyond. Our combined years of experience working for IT and Software companies help us deploy Account based marketing strategies at a scale that can fuel growth. 
Having worked for 50+ B2B companies and reaching several hundred thousand's contacts has helped us discover insights that companies could not track before. Our approach combined with strategy, consulting, execution and reporting. We become the Marketing co-pilots and help your team in training, support, documentation, and playbooks.
We 
1. Identify the marketing dollars spent ineffectively
2. Help users consume the right content and track them by building content hubs.
3. Help SDR's with more relevant and qualified leads thereby saving costs on hiring additional SDR's
4. Reduce customer acquisition costs
5. Reduce sales cycle by at least 50%
6. Grow your pipeline velocity

Chief Marketing Officer

Gtech Information Systems

Gtech Info was started as an IT recruitment and Consulting company.The technologies we worked were into data warehousing, Java,SAP and Oracle Consulting.

Founder and CEO

Aldea Infotech Pvt Ltd

Aldea Infotech is a strategy and technology company providing project implementation,training, human capital solution & consulting services in various emerging technology areas including business Intelligence,enterprise data warehousing,enterprise Resource Planning,enterprise application Integration & customer relationship management.
Specialties include SAP ERP, Business Objects, Crystal Reports, SAP SCM, SAP EWM, SaaS

Time Warner Cable

Started as an Informatica developer and later had hands on experience on Data modelling and data Architect.

Informatica Developer

G.E. Power, LLC

Business Objects Intern/Co-op

ABM for Enterprise SaaS & IT Services | Case Studies → CXO Pipeline |ACTIVATE Framework |Host of "The ABM WAY" Podcast🎙️

If you can’t name the 12 people who matter this quarter, 
Your Q1 pipeline is already at risk.

-Not accounts.
-Not segments.
-No personas.

Real people with:
-Power to decide
-Can take risk ownership
-Have influence over the budget


The enterprise pipeline doesn’t move because you ran better campaigns.
It moves because a small group of executives decided the risk was real and worth acting on.

In most enterprise deals, fewer than 15 people actually shape the outcome.
Everyone else is noise.

January exposes this fast.
You don’t win Q1 by doing more.

You win by being precise.

That’s why in January:

1. Run fewer plays
2. Invite fewer accounts
3. Design for context, not clicks

Most teams can’t name those 12 people.
That’s why Q1 feels busy & still underperforms.

How to Build an Automatic ABM Engine Inside HubSpot (Using Data Agents)

-Think of them as your AI-powered data ops teammates sitting inside HubSpot. 
-They don’t just enrich records; they reason over your CRM and external sources, generate custom properties, and trigger workflows automatically.

For enterprise ABM, this makes a significant difference.
Instead of static data points and manual updates, you now have a living system that qualifies, scores, and personalizes in real time.

Here are a few examples of how to utilize Data Agents for ABM.
1. Auto-Qualify Website Visitors
-Traditionally, you relied on form fills and enrichment tools to guess if a visitor fit your ICP. 
-Now with Data Agents, you can set up a Smart Property that checks if the visitor’s company is B2B, validates their product/service category, and stores it automatically.
-No more wasting SDR cycles chasing bad-fit leads. 
-Every visit → instant context.

2. Capture Tech Stack as a Custom Property
-Tech stack data is always a great insight in ABM. 
-Instead of buying static lists, create a Data Agent Smart Property that scrapes public sources and fills in fields like “CRM,” “Marketing Automation,” or “Cloud Provider.”
-This means your reps don’t just know the industry; they know the tooling environment before first outreach.

3. Score Interest Level from CRM Conversations
Here’s where it gets fun. Using Smart Actions, you can point Data Agents at job title, industry, email/message history, and even membership notes. -The AI then classifies interest level (e.g., High, Medium, Low) and writes it back to HubSpot.
-That’s ABM-grade personalization without a BDR reading through dozens of notes.

4. Extract Pain Points from Call Transcripts
-With Data Agent Research prompts, you can feed call transcripts and ask: “What’s the likelihood this deal closes? What are the top 3 pain points?”
-The output can be Boolean (yes/no close likelihood) or descriptive. 
-That insight can then feed directly into deal scoring or rep coaching.


5. Trigger Workflows with AI-Generated Responses
The real unlock is automation. Data Agents don’t just write properties, but they also trigger workflows like:
1. Prospect fills out a form
2. Data Agent analyzes free text and classifies intent
3.HubSpot instantly sends an AI-personalized email or routes the lead to an SDR


Why This Matters for Enterprise ABM
Data Agents can help you:
1. Qualify and route accounts automatically
2. Detect triggers from unstructured data external data (conversations, calls, transcripts)
3. Build CXO-ready personalization at scale
4. Track velocity with AI-enriched properties


I have a detailed step-by-step article explaining this in my recent Substack post. https://lnkd.in/gC4eaYCF

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