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 AnalysisStack 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 GovernanceIntegration & 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 · AttributionAI-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 · PredictiveEvery MarTech Domain
I cover the full spectrum of marketing technology — from CRM to AI infrastructure. No siloed expertise.
MarTech Systems I've Built
Real architectures across unified customer data, AI content engines, attribution, and lead qualification.
→ CRM synced
→ Email + ads connected
→ Purchase recorded
→ Support + feedback
→ Single dashboard — all attributed
→ Content brief (AI)
→ Draft generated (AI)
→ Human edit & approval
→ Publish + distribute
→ Analyze → Optimize (loop)
→ Channel performance scored
→ Automated budget reallocation
→ Real-time ROI dashboard
→ Weekly optimization report
→ Anomaly alert system
→ Enrichment via Apollo/Clearbit
→ AI scoring model applied
→ Hot: routed to sales
→ Cold: nurture sequence
→ All tracked in CRM
Transparent Pricing
Stack audits, full builds, and fractional CMO engagements. No hidden costs, no long-term lock-in.
- Complete tool inventory
- Integration & data flow map
- Cost optimization analysis
- Gap & redundancy identification
- 90-day prioritized roadmap
- Architecture design & tool selection
- Full tool implementation
- Integration & data layer setup
- Team training (3 sessions)
- 60-day post-launch support
- Ongoing strategy & leadership
- Monthly stack optimization
- Board-level reporting
- AI transformation roadmap
- Unlimited advisory access
The Track Record
Not a tool vendor. Not a generalist. A MarTech architect who has built full stacks at scale.
How It Works
From initial discovery to a continuously optimized, AI-native MarTech ecosystem.
Common Questions
Straight answers about MarTech audits, tool selection, and AI integration.
How do I know if my MarTech stack is broken? +
Do you recommend specific tools? +
Can you work with our existing tools? +
What exactly is AI-native MarTech? +
Do you work with enterprise or startups? +
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.
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.