Dear growth-focused founder or marketing leader,
Picture this: your sales team is staring at two CRMs, thousands of contacts, and no clear idea who to call first. Deal velocity is slowing, marketing costs are rising, and every meeting ends with, “We need better data.”
That was a real Monday morning for one of my clients. By Friday we had a plan, four laser-defined customer avatars, and a fresh pipeline the reps could not wait to work.
How? I pulled the raw records from both CRMs, fed them through an AI reasoning workflow, and let automation do the heavy lifting. Instead of weeks of spreadsheet wrestling, we had insights in hours, a sharper go-to-market focus, and happier humans on every team.
Why most revenue teams stall
- Siloed data means marketing flies blind.
- Manual reporting steals hours you could spend testing creative.
- “Personalization” often stops at Hi {first-name}, so conversions crawl.
I fix those bottlenecks with Content Engineering—a framework that blends data, strategy, and automation so your message reaches the right person at the right moment, at scale.
The Content Engineering Framework
- Data Clarity: Centralize and clean the numbers so everyone trusts the dashboards.
- Strategic Lens: Map revenue goals to concrete content and campaign KPIs.
- Automated Workflows: Use n8n, Python, or Rust micro-services to remove busywork.
- Personalization Layer: AI reasoning models turn raw fields into stories that convert.
- Continuous Kaizen: Measure, learn, and ship improvements every sprint.
Proof it works
- Zero to $3 M in 23 months
Helped a brand-new solar company scale paid search and YouTube ads with marketing automation driving the follow-up sequences.
- Tripled organic traffic year over year
Delivered a full SEO and content overhaul at potential.ly, including a video sales letter and onboarding course.
- 50+ pieces of content per day, 95% less manual effort
Built GTMIntel, a Rust-based platform that turns funding data into LinkedIn posts, personalized newsletters, and ready-to-publish videos.
- Google Ads Kaizen in minutes, not days
An n8n workflow pulls last-30-day ad data, prompts Azure OpenAI for avatar-aligned tweaks, writes results to Supabase, and posts a Slack summary so the team can act fast.
- CRM merge to four avatars in one week
The story that opened this page: custom ETL + AI clustering delivered clarity and a focused sales motion.
Toolbelt you can rely on
- n8n for drag-and-drop workflows that your ops team can own.
- Python & Rust for custom micro-services when speed or scale demands code.
- OpenAI, Anthropic, Groq and friends for language and vision models.
- ScreenshotAPI & n8n-workflow-sync so even “edge” tasks integrate, version, and deploy cleanly.
What this means for you
- Quality at scale: Campaigns reach 10× the prospects without adding headcount.
- Deeper personalization: Messages speak to pains, not personas.
- Faster insight loops: Weekly Kaizen beats quarterly post-mortems.
- Higher revenue per rep: Reps open calls knowing exactly why that account cares.
Ready to turn data chaos into predictable revenue?
Email me at [email protected] or book a short strategy call. We will map one automation quick win you can ship this month, whether we work together or not.
Talk soon,
Duncan Trevithick
Founder, ContentEngineering.org – building clear, automated, and personal marketing engines since 2012.
