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MarTech Consulting

MarTech Stacks
That Compound Growth

Stop Buying Tools  ·  Start Building Systems  ·  AI-Native Architecture

Architecture, integration, and optimization for modern marketing teams. I design MarTech ecosystems where every tool talks to every other tool, with clean data, real attribution, and AI-native workflows at the core.

8+
Years MarTech architecture
50+
Stacks designed & optimized
30+
Tools mastered across categories
AI
Native systems pioneer
What I Do

MarTech Consulting Services

Stack audits, architecture design, integration implementation, and AI-native transformation, end to end.

🔍

MarTech Stack Audit

Map every tool, integration, data flow, and monthly cost. Surface redundancies, integration gaps, security risks, and quick-win optimizations your team has been ignoring.

Tool Inventory · Cost Analysis
🏗️

Stack Architecture & Design

Design your ideal MarTech ecosystem, tool selection based on your team and budget, integration mapping, data governance framework, and a 90-day build roadmap.

Tool Selection · Data Governance
🔗

Integration & Implementation

Connect CRM, automation, analytics, ads, email, and AI tools into a unified data layer. Real-time sync, clean attribution, and a single source of truth for marketing performance.

CRM · Analytics · Attribution
🤖

AI-Native Transformation

Integrate LLMs, agentic workflows, and predictive analytics into your existing stack, as core infrastructure, not bolt-ons. AI-powered content, scoring, and decision-making.

LLMs · AI Agents · Predictive
Stack Coverage

Every MarTech Domain

I cover the full spectrum of marketing technology, from CRM to AI infrastructure. No siloed expertise.

CRM & Lifecycle
Email & Engagement
Paid Media & Attribution
Analytics & BI
Content & CMS
Automation & Workflow
Affiliate & Commerce
SEO & Content Ops
AI & LLM Integration
Design & Creative
Project Management
Web & Infrastructure
Use Cases

MarTech Systems I've Built

Real architectures across unified customer data, AI content engines, attribution, and lead qualification.

The Unified Customer View
Website & form interactions
CRM synced
Email + ads connected
Purchase recorded
Support + feedback
Single dashboard, all attributed
AI-First Content Engine
Keyword research (AI)
Content brief (AI)
Draft generated (AI)
Human edit & approval
Publish + distribute
Analyze → Optimize (loop)
Attribution-First Budget Allocation
Multi-touch attribution model
Channel performance scored
Automated budget reallocation
Real-time ROI dashboard
Weekly optimization report
Anomaly alert system
Zero-Touch Lead Qualification
Inbound lead captured
Enrichment via Apollo/Clearbit
AI scoring model applied
Hot: routed to sales
Cold: nurture sequence
All tracked in CRM
Service Packages

How I Can Help With Your MarTech Stack

From a stack audit to full architecture implementation, practical MarTech engagements for teams ready to build or optimize their tech foundation.

Discovery

Stack Audit

A full inventory and analysis of your current MarTech stack, what you're paying for, what's integrated, what's redundant, and where the gaps are.

Best for
Marketing and revenue teams that have accumulated tools over time and aren't sure what's working, what overlaps, or what's missing.
  • Complete tool inventory & cost mapping
  • Integration health & data flow review
  • Redundancy & gap analysis
  • Vendor consolidation recommendations
  • 90-day optimization roadmap with walkthrough
Retainer

Fractional MarTech Lead

Ongoing strategic MarTech leadership, stack optimization, AI transformation roadmap, vendor management, and board-level reporting on marketing operations.

Best for
Growth-stage and enterprise teams that need CMO-level MarTech strategy and hands-on execution without the full-time cost.
  • Monthly stack health & performance review
  • AI tooling integration & roadmap
  • Vendor negotiation & evaluation support
  • Marketing ops governance & documentation
  • Strategic advisory & board-level reporting
Engagement Models

How We Can Work Together

From a one-time audit to fractional CMO, flexible MarTech engagements aligned to your team's scale and budget.

MarTech Implementation Partner
Full project ownership, tool selection, integration design, platform configuration, workflow automation, and go-live training.
Fractional CMO / MarTech Lead
Strategic marketing operations leadership combined with hands-on execution. Stack governance, vendor management, and AI transformation roadmap.
Stack Audit & Advisory
One-time deep-dive into your existing MarTech stack. Identify what's underperforming, what overlaps, and where consolidation can save cost.
Full-Time Remote Role
Embedded as Head of Marketing Technology or Marketing Operations. Global remote availability with ongoing implementation and optimization.
Agency Technical Partner
Build and manage MarTech stacks for your agency clients. Tool selection, integration, automation, and white-label delivery available.
Ongoing Optimization Retainer
Monthly retainer covering stack performance, new tool evaluation, integration maintenance, and continuous workflow improvement.
Why Me

The Track Record

Not a tool vendor. Not a generalist. A MarTech architect who has built full stacks at scale.

Designed MarTech stacks for high-growth companies and global fintech platforms serving millions of users, from startup to enterprise scale.
Pioneered AI-native content workflows in WordPress-based affiliate ecosystems, reducing manual content creation by 80% at TipidNation.
Built analytics infrastructure at Celsius Network providing real-time marketing visibility for millions of users across paid, organic, and CRM channels.
Managed multi-channel attribution modeling enabling data-driven budget allocation across Google, Meta, Apple Search, and affiliate networks simultaneously.
Cross-tool fluency across HubSpot, Salesforce, Segment, Mixpanel, Amplitude, Snowflake, and 30+ other platforms, with CS background to understand how they actually work.
Process

How It Works

From initial discovery to a continuously optimized, AI-native MarTech ecosystem.

01
Discovery
Deep-dive into your goals, team capabilities, budget, and pain points. Free 30-min call with a diagnostic framework.
02
Audit
Map every tool, integration, data flow, and cost. Surface what's broken, redundant, or missing before building anything.
03
Architecture
Design ideal stack with tool recommendations, integration plan, data governance, and a full ROI model for your leadership team.
04
Build
Implement, integrate, test, and document every connection. Deploy incrementally with validated data flowing correctly before moving forward.
05
Optimize
Monthly refinement, new tool evaluation, AI integration roadmap, and quarterly strategy reviews to ensure the stack compounds over time.
FAQ

Common Questions

Straight answers about MarTech audits, tool selection, and AI integration.

What is a MarTech stack and why does it matter? +
A MarTech stack is the collection of marketing technology tools your team uses to attract, convert, and retain customers, CRM, email platform, analytics, ad tools, and automation. It matters because the effectiveness of your marketing depends on how well these tools share data and work together. A fragmented stack where tools don't talk to each other creates blind spots, manual work, and campaigns that can't adapt based on what the data says.
What's the difference between a MarTech stack audit and a full implementation? +
An audit identifies what's working, what's broken, what's redundant, and what's missing, it's diagnostic. An implementation builds or fixes what the audit identifies. Most clients start with an audit to understand the current state before committing to larger changes. I do both: audits that surface the highest-impact opportunities, then implementation of the changes that make the biggest difference.
Which is better, HubSpot or a best-of-breed MarTech stack? +
HubSpot is an all-in-one platform, simpler to manage, better integrated out of the box, but less flexible for specialized needs. A best-of-breed stack uses best-in-class tools for each function (Klaviyo for email, Pipedrive for CRM, Zapier for automation), more powerful per tool, but requires more integration work. The right choice depends on team size, technical capacity, and how specialized your needs are.
Can you integrate our existing MarTech tools without replacing everything? +
Yes, most MarTech problems are integration problems, not tool problems. I audit your existing stack to identify where data isn't flowing correctly, where tools are redundant, and where the right connection would eliminate manual work. In most cases, the tools you already have are fine, they just need to talk to each other properly.
What are the benefits of a well-integrated MarTech stack? +
A properly integrated MarTech stack means your CRM, email platform, ad accounts, and analytics all reflect the same customer data, no manual exports, no reporting discrepancies, no leads falling through gaps between systems. The business impact: marketing attribution you can trust, campaigns that adapt based on CRM data, and a team that spends time on strategy instead of data entry.
What tools make up a good B2B MarTech stack? +
Core B2B MarTech: a CRM (HubSpot or Pipedrive), an email/automation platform (Customer.io for SaaS or HubSpot Marketing for B2B), an outbound tool (Apollo.io), a workflow automation layer (Zapier or Make.com), and analytics (Google Analytics or a BI tool). The AI layer sits across all of these, I design where it adds value without adding complexity.
Can you help reduce our MarTech spend without losing capability? +
Yes, tool consolidation and redundancy elimination typically cut MarTech spend 20–40% without losing meaningful capability. The audit identifies tools that overlap in function, tools that could be replaced by features already included in platforms you're paying for, and tools generating zero measurable ROI. Cutting the right tools reduces cost and complexity simultaneously.
What is AI-native MarTech and how does it differ from traditional MarTech? +
AI-native MarTech uses AI as an active participant in marketing execution, not just as a feature bolted onto an existing tool. Instead of AI suggesting subject lines, an AI-native MarTech stack has AI generating content, classifying leads, personalizing campaigns, and optimizing spend automatically. I design AI automation layers that sit across your existing MarTech tools and make them act in coordination.
Do you work with enterprise or startup MarTech stacks? +
Both, but the approach differs. Enterprise stacks need integration architecture, governance design, and change management alongside technical work. Startup stacks need speed, simplicity, and tools that scale without requiring a dedicated MarTech team. I adjust scope and approach to match where you are.
How much does it cost to hire a MarTech consultant? +
The investment depends on stack complexity, number of tools, and whether you need an audit, implementation, or both. A focused audit is lower commitment than a full implementation retainer. Send me a message with your current tool list and the problems you're trying to solve and I'll outline what an engagement looks like.
Get Started

Your Tools Are Talking.
Make Sure They Speak the Same Language.

Most marketing teams have 15+ tools that don't connect. Data silos kill attribution, waste budget, and hide insights. Let's fix that, free 30-min stack audit call.

Building MarTech Systems That Actually Work

Most marketing teams don't have a MarTech problem. They have an integration problem. Your email platform doesn't talk to your CRM. Your CRM doesn't sync with your lead scoring system. Your analytics live in a spreadsheet. And when you need data to flow between systems, someone manually updates a spreadsheet or re-enters information by hand.

The result: broken workflows, duplicate data, no visibility, and your growth team spending time on data management instead of strategy.

The Real Cost Of Disconnected Systems

When your MarTech stack isn't integrated, every process takes longer and delivers less data. A lead comes in through your website. Someone manually enters it into your CRM. A day later, they get an email, but it doesn't know their source. You run a campaign, but you can't tell which channel drove the conversion because the data never made it from your ads platform to your analytics tool. You're flying blind. And your team is stuck doing data plumbing.

How This Actually Gets Fixed

A well-designed MarTech stack does three things:

1. Connects Your Tools Into A Real System

Your email platform, CRM, landing pages, and analytics need to talk to each other automatically. When someone converts, that data flows through your entire stack without manual intervention. You can see exactly where they came from, when they engaged, what they're interested in, and what your next best action should be. That's not philosophy. It's achievable through Zapier automation, Make.com workflows, and n8n orchestration. The key is designing the connections strategically so that data flows to the right place at the right time.

2. Automates Repetitive, Low-Value Work

Most marketing operations waste time on busywork: manually syncing data, running reports, tagging leads, scoring prospects, sending follow-up reminders. These tasks are necessary but low-leverage. Automating them frees your team to focus on strategy. Example: A prospect downloads your guide. Automatically, they're tagged in your CRM, added to a nurture email sequence, and prioritized in your sales queue based on their engagement. No manual work. It just happens.

3. Creates Visibility Into What Actually Works

With integrated systems, you can finally answer the questions that matter: Which channels drive the most qualified leads? Which campaigns convert? What's the actual ROI of your marketing spend? How long is your sales cycle? Without integration, these answers live in different platforms, and nobody connects the dots. With integration, the data tells a coherent story.

Building Your Stack: The Core Components

Email + CRM + Landing Pages

This is the foundation. Your email platform (Mailchimp, ConvertKit, ActiveCampaign) needs to sync with your CRM (Pipedrive, HubSpot) and your landing page platform (Unbounce, Leadpages). When someone converts on a landing page, they're automatically added to your CRM and entered into your email sequences. Simple in theory, but it requires thoughtful automation to work.

Marketing Automation Layer

Zapier handles straightforward automations (when A happens, do B). Make.com handles more complex logic (if A and B happen, but not C, then do D). n8n handles advanced workflows where you need custom logic or frequent iterations. For example: When a prospect reaches a certain engagement score in your email sequences, they're automatically marked as "Sales Ready" in Pipedrive, assigned to a sales rep, and their contact gets the salesperson's personal outreach. No manual scoring. No delay.

Analytics & Attribution

This is where most teams struggle. You need a single source of truth for your data. Usually that's a data warehouse (Postgres, BigQuery) or a BI tool (Metabase, Looker) that pulls from all your platforms and shows you what actually converts. Many teams skip this. Don't. You can't optimize what you can't measure.

What Changes When This Works

Your team stops doing data entry. Your sales process is faster because leads are automatically qualified and prioritized. Your marketing reporting is actual data, not guesses. Your campaigns are optimized because you finally know what converts. Most importantly, your growth scales without proportional headcount growth. Your existing team does more because their repetitive work gets automated.

Contact

Let's design your MarTech ecosystem.

Ready to build a marketing stack that compounds growth instead of creating complexity? Send a message and let's audit your current setup on a free 30-minute call.

Garmin watch showing a VO2 max reading of 54, rated Superior
I track VO2 max the same way I track this work, the number, not the feeling. It doesn't lie either way.