Services

Everything your growth and marketing systems need.

I work as a full-time hire, a fractional lead, or a project-based contractor. The list below covers what I bring to the table. Most engagements involve several of these working together.

Paid acquisition that actually pays back.

Search Engine Marketing (SEM/PPC)

Google Ads, LinkedIn, Meta, and programmatic campaign management
Keyword strategy, bid management, and Quality Score optimization
Landing page and ad creative direction focused on conversion rate
Budget allocation across channels based on CAC and pipeline data
Attribution setup so you know exactly which spend is working

I have run paid programs from five-figure monthly budgets to seven-figure annual spends. The approach is the same at any scale: test fast, kill what does not convert, double down on what does. No set-it-and-forget-it campaigns.

Organic growth that compounds.

SEO Strategy and Execution

Technical SEO audits: crawlability, Core Web Vitals, schema, site structure
Keyword research and content gap analysis tied to buyer journey stages
On-page optimization and content briefs for writers and subject matter experts
Link building strategy and outreach coordination
Tracking setup: rank monitoring, organic traffic attribution to pipeline

SEO is a long game that most companies under-invest in because the payoff is not immediate. I treat it as a channel with real ROI math, not a checkbox. The goal is ranking for terms your buyers actually search, not just traffic volume.

Turn your database into a pipeline machine.

Marketing Automation and Nurture

Lead scoring model design based on fit and behavioral signals
Multi-touch nurture sequences tied to lifecycle stage and persona
Triggered campaigns based on product usage, site behavior, and intent signals
Sales handoff workflows that make sure hot leads reach reps fast
HubSpot, Marketo, Pardot, and ActiveCampaign implementation

Most companies have a nurture problem disguised as a lead volume problem. The leads are there. The follow-up is broken. I fix the infrastructure so no lead falls through the cracks and every prospect gets the right message at the right time.

A stack that works together instead of against you.

Martech Architecture

Full martech audit: what you have, what you need, what to cut
CRM, MAP, data, and analytics integration and data governance
AI-first rebuilds: where automation and LLMs replace manual work
Tool selection and vendor evaluation with actual use-case requirements
Documentation and team training so the stack outlasts any one person

Most growing companies are paying for tools they do not use, missing integrations that would save hours per week, and making decisions on bad data. I have rebuilt martech stacks from scratch and I know what a clean, efficient setup looks like.

Real automation, not just chatGPT prompts.

AI Workflow Setup

Prospect research and enrichment pipelines using AI tooling
Content creation workflows: brief generation, draft review, repurposing
Lead intelligence: intent signal aggregation and scoring augmentation
Internal reporting and data summarization automation
Tool stack: Clay, Make, Zapier, n8n, OpenAI, Anthropic, Perplexity

AI for marketing is real and it matters right now. I have hands-on experience building workflows that replace hours of manual work, from prospect research to content operations. This is not a future-state discussion. These tools are in production today.

Target the right accounts, not just any accounts.

Account-Based Marketing (ABM)

ICP definition and tiered account list building
Intent data integration for timing your outreach to buying signals
Multi-channel ABM plays: paid, content, email, and direct mail coordination
Sales and marketing alignment: shared account tracking and playbooks
ABM reporting: account coverage, pipeline influence, and deal progression

ABM done wrong is just expensive spray-and-pray with a smaller list. ABM done right is coordinated targeting at accounts that are actively in-market, with messaging that reflects what they actually care about. I have run both kinds and I know the difference.

Know what is working before someone asks.

Analytics and Attribution

GA4, Mixpanel, and custom event tracking setup
Multi-touch attribution models tied to revenue, not just MQLs
Executive dashboards in Looker Studio, Tableau, or your BI tool of choice
Funnel analysis: conversion rates by stage, channel, persona, and cohort
UTM governance and campaign tagging standards across all channels

If you cannot answer 'which channels are driving closed revenue?', you are making budget decisions blind. Analytics is not a reporting function. It is the foundation that makes everything else defensible.

The playbook to make it all work together.

Full-Funnel Strategy and Consulting

Go-to-market planning for new products, segments, or geographies
Demand gen audits: where the funnel is leaking and how to fix it
Quarterly planning and OKR setting tied to revenue targets
Hire planning: when to build a team vs. when to stay lean with contractors
Fractional Head of Marketing engagements for early-stage companies

Sometimes you need someone to zoom out, look at the whole engine, and tell you where to focus. I have done this as an internal leader and as a fractional advisor. The deliverable is always the same: a clear, prioritized plan tied to real business outcomes.

Not sure which of these you need?

Tell me what problem you are trying to solve and I will give you a straight answer on whether I can help.

Get in touch