What we learned running the numbers.
How We Run an Agency as Marketing Engineers: The Maker Never Checks Its Own Work
How to quality check AI marketing work, from an agency run by marketing engineers.
Which Customer Data Can Go Into AI? The Building Test for Marketing Engineers
Is it safe to put customer data into AI? For most fields, yes, once you sort them.
Marketing Systems Audit: 20 Questions That Show Where Your Growth System Breaks
A marketing systems audit checklist with a hard rule: 20 yes-or-no questions on lead data, reply speed, feedback, ownership and goals, and a yes counts only with proof you can open in five minutes.
Marketing Engineering for Local Businesses: The First System to Build
Marketing automation for small business starts with the dropped handoff, not more leads.
The Marketing Data Stack for AI Agents: Six Jobs and the Read-Wide Rule
What a marketing data stack for AI agents needs: six jobs (collect, store, run on a schedule, version, connect, check), what to buy and what to build, and a four-rung ladder for what an AI may read and change.
How to Measure a Marketing Engineer: KPIs Built on What Buyers Did
Marketing engineer KPIs that hold up: grade each system on what buyers did, not what it produced.
Read 'Results', Not 'Leads': The Meta Reporting Mistake That Hides Winners
How to read Meta ads reporting without killing your best campaign.
Model-Agnostic by Design: Big AI Bets Without Vendor Lock-In
AI vendor lock-in is a build choice, not a vendor trick.
How to Write an Email Sequence Where Each Email Pulls One Lever
In one field test, an email with a single link got 50% more clicks than the same email with two.
AI Operations: Most AI Problems Are Operations Problems in Disguise
Most AI problems are operations problems with a new name: scattered data, no owner, no quality check, steps nobody needs.
The Outbound Signal Engine: Trigger-Based Outreach That Gets Replies
Trigger-based outreach means writing to a company only when a dated event gives it a reason to talk.
The Page-2 Problem: Why Your Impressions Get No Clicks, and the Fix
Lots of impressions and almost no clicks usually means a page 2 Google ranking.
Programmatic SEO Without a Google Penalty: Five Tests for Every Template Page
Programmatic SEO is not against Google's rules.
Quick Win Offers: Replace the Free Audit With a Paid First Step
A free audit asks a busy owner for an hour and gives back a pitch.
Server-Side Conversion Tracking: Fix the Count, Then Teach the Platform
Server-side conversion tracking explained: why browser counts drift, what a server-side event carries, how to check that your ad platform, CRM and sales team agree, how to send lead quality back with the Send-Back Ladder, and how to keep consent intact.
Shadow AI Is a Demand Signal: Guardrails That Do Not Kill the Front Line
Shadow AI is staff using AI tools the company never approved.
How to Start a Sales Letter: Open by the Side Door
How to start a sales letter, email or video so people keep reading.
Speed to Lead: Answer Every New Lead in Five Minutes
Speed to lead is the time from a new enquiry to your first real reply.
UGC Ad Formats: Eight Video Ad Types and When to Use Each
UGC ad formats are the containers your video message rides in.
What Does a Marketing Engineer Do All Day? One Loop and the Third-Time Rule
What does a marketing engineer do all day? They run one loop, research, build, ship, learn, and spend the week on work that changes how other work gets done.
What AI Answer Engines Actually Cite, and How to Map Your Own
What do AI engines cite? Mostly pages that answer the exact question, and which pages depends on the question.
What Is a Marketing Engineer? The Definition, the Map, and the Test
What is a marketing engineer? A marketer who builds systems instead of assets.
What Is an Agent Harness? The Layer That Makes AI Agents Safe to Use
An agent harness is the software around an AI agent that decides what it can touch: tools, permissions, memory, hard limits, logs and recovery.
Who Owns AI? Chief AI Officer, Center of Excellence, or Champions
Who should own AI at your company: a Chief AI Officer, a center of excellence, or team champions? Give the seat one name, then size the team to the stakes.