Consulting Services
Smart playbooks. Flexible output. Real results.
🧰 Session
Format: Google Meet/Zoom
Length: 1 hour
Best for: Early founders or smaller teams who need answers fast.
My role: Listening and helping guide the problem toward a practical solution.
Details: I’ll send you some questions ahead of time to make the most of our time.
Price: $150
🔨 Project
Format: Google Meet/Zoom/Slack
Length: <30 days
Best for: Teams who need help architecting or deploying a playbook or experimentation.
My role: Directly building or helping you build a specific thing or system.
Details: I’ll work within your project management system and follow your direct lead.
Price: $3,000-$5,000
🛠️ Support
Format: Google Meet/Zoom/Slack
Format: 30+ days
For: Teams who need regular support or need help managing specific channels or campaigns.
My role: Completing on-going projects assigned directly to me.
Details: I’ll work with individual responsibilities and within your project management system.
Price: $1,500-3,500/mo
📐 Something else: Have something else in mind? Send me a message with the details!
Your needs 🤝🏻 my solutions
From marketing automation to revenue architecture, I engineer the connective tissue that keeps your GTM engine aligned and accelerating while ensuring every campaign, workflow, and insight feeds a single, scalable system built for predictable growth.
Marketing Operations
Designing and maintaining your HubSpot (or MAP) architecture — lifecycle stages, lead routing, scoring, and automation
Creating UTM and campaign tracking frameworks for complete attribution visibility
Implementing lead scoring models that combine behavioral, fit, and intent data
Syncing marketing data with CRM, product data, and ad platforms for unified reporting
Setting up forms, landing pages, CTAs, chatbots, and workflows
Building automated nurture sequences and lifecycle emails tailored to personas and funnel stage
Cleaning and enriching contact, company, and campaign data to maintain database health
Aligning campaign tracking between Google Ads, LinkedIn Ads, and HubSpot (or CRM)
Automating MQL → SQL → Opportunity handoffs with clear alerts and SLAs
Creating dashboards to visualize pipeline, attribution, and channel performance
Establishing testing frameworks for A/B experiments across landing pages and campaigns
Mapping the buyer’s journey to the right content, automation, and segmentation logic
Implementing integrations with enrichment tools (Clearbit, Clay, Common Room, etc.)
Managing lead compliance, consent mode, and privacy rules (GDPR/CCPA) across systems
Revenue Operations
Designing unified lifecycle frameworks across Marketing, Sales, and CS teams
Implementing deal stage automation, pipeline management, and forecasting systems
Aligning HubSpot, Salesforce, or other CRMs for consistent data flow and ownership
Building real-time dashboards for pipeline velocity, conversion rates, and ARR growth
Automating lead and account routing based on territory, segment, or ICP fit
Creating performance visibility for reps: lead queues, sequences, and activity tracking
Implementing SLA tracking and alerts between Marketing, Sales, and CS
Developing scoring systems that blend product usage, intent, and engagement signals
Managing renewal, expansion, and churn workflows within the CRM
Building attribution models that connect every deal back to its true source
Auditing and cleaning CRM data to ensure accuracy for forecasting and reporting
Automating quote, contract, and billing integrations (HubSpot Quotes, CPQ, Stripe, etc.)
Defining and tracking key conversion metrics (MQL→SQL, SQL→Closed Won, etc.)
Establishing governance: ownership rules, data definitions, field mapping, and validation
Integrating RevOps tooling (Gong, Clari, Outreach, Apollo, etc.) for full-funnel alignment
GTM Engineering
Designing unified lifecycle frameworks across Marketing, Sales, and CS teams
Implementing deal stage automation, pipeline management, and forecasting systems
Aligning HubSpot, Salesforce, or other CRMs for consistent data flow and ownership
Building real-time dashboards for pipeline velocity, conversion rates, and ARR growth
Automating lead and account routing based on territory, segment, or ICP fit
Creating performance visibility for reps: lead queues, sequences, and activity tracking
Implementing SLA tracking and alerts between Marketing, Sales, and CS
Developing scoring systems that blend product usage, intent, and engagement signals
Managing renewal, expansion, and churn workflows within the CRM
Building attribution models that connect every deal back to its true source
Auditing and cleaning CRM data to ensure accuracy for forecasting and reporting
Automating quote, contract, and billing integrations (HubSpot Quotes, CPQ, Stripe, etc.)
Defining and tracking key conversion metrics (MQL→SQL, SQL→Closed Won, etc.)
Establishing governance: ownership rules, data definitions, field mapping, and validation
Integrating RevOps tooling (Gong, Clari, Outreach, Apollo, etc.) for full-funnel alignment