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JA
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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
Pricing

Transparent Pricing

Stack audits, full builds, and fractional CMO engagements. No hidden costs, no long-term lock-in.

Stack Audit
$1,500 one-time
Full inventory and analysis of your existing MarTech stack with a 90-day optimization roadmap.
  • Complete tool inventory
  • Integration & data flow map
  • Cost optimization analysis
  • Gap & redundancy identification
  • 90-day prioritized roadmap
Fractional CMO
$8,000 / month
Ongoing MarTech strategy and leadership — stack optimization, AI transformation roadmap, and board-level reporting.
  • Ongoing strategy & leadership
  • Monthly stack optimization
  • Board-level reporting
  • AI transformation roadmap
  • Unlimited advisory access
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.

How do I know if my MarTech stack is broken? +
Common signs: data silos requiring manual exports, conflicting numbers across dashboards, tool sprawl with overlapping features, teams working in isolation using different data sources, and no clear attribution for marketing spend. I diagnose all of this in one call.
Do you recommend specific tools? +
Yes — based on your needs, team size, budget, and growth stage. Not based on partnerships or commissions. I recommend what actually fits your situation, including when the best answer is to keep what you already have.
Can you work with our existing tools? +
Absolutely. I optimize what you have before recommending replacements. Migration is always a last resort — it's expensive and disruptive. Usually 60–70% of what you need is already in the tools you're not fully using.
What exactly is AI-native MarTech? +
Building LLMs and agentic workflows into your core stack as infrastructure — not as optional add-ons. This means AI-powered content generation, lead scoring, personalization, anomaly detection, and decision-making that runs automatically alongside your existing tools.
Do you work with enterprise or startups? +
Both. I've built lean $15K/year stacks for early-stage startups and governed complex multi-platform ecosystems for global platforms with millions of users. The architecture principles are the same — the complexity and budget scale with your stage.
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.