MarTech & RevTech Consulting
Your stack should
work for revenue.
Not against it.
MarTech and RevTech strategy, implementation, and operations. From stack audits and vendor selection to CRM architecture, attribution, and more. Designed to turn your tools into a genuine growth engine.
Most SaaS businesses are leaving revenue on the table because of their RevTech stack...
…operational efficiency bottlenecks caused by siloed and outdated systems
- Spreadsheets filling in for systems that should exist?
- Paying for tools that overlap or underdeliver?
- Marketing and sales can’t agree on what the numbers mean?
- Data scattered across disconnected systems with no single source of truth
- AI and automation initiatives stalled by poor data quality
I bring a systematic view of the end-to-end customer journey and what tools/data are required by cross-functional teams to ensure there’s no breakdown in systems and processes.
What I do
Full-stack MarTech and RevTech services.
01
MarTech
- Full MarTech audit — redundancy, gaps, ROI per tool
- Tool consolidation and vendor selection
- HubSpot, Marketo, and Pardot implementation
- Lead scoring and lifecycle campaign architecture
- Attribution model setup — first-touch, multi-touch, revenue-based
02
RevTech & Sales
- RevOps function setup, org design, and pipeline governance
- Lead lifecycle and handoff framework (MQL → SQL → SAL → Closed)
- Forecasting model and cadence setup
- Stack architecture design and integration mapping
03
CRM Implementation & Sales Enablement
- HubSpot CRM setup, optimisation, and workflow design
- Sales process mapping, playbook, and sequence design
- Sales and marketing alignment workshops
- RFP management for new platform procurement
04
Data, Analytics & Reporting
- GTM reporting and dashboard design
- UTM and tracking governance frameworks
- Funnel analytics and conversion benchmarking
- Board and exec-level revenue reporting
05
AI RevTech
- AI-powered lead scoring and intent signal integration
- Intelligent workflow automation across sales and marketing
- LLM tool evaluation and stack integration
- AI governance — quality control and brand voice frameworks