Demand Gen on Google Maps: Setup and Testing
A verification-first Demand Gen and Google Maps testing framework for paid acquisition teams evaluating local-intent inventory without fake setup or performance claims.
The journal
Insights
Field notes on Google Ads, measurement and AI-assisted marketing systems — written from real accounts, not theory.
Turn Marketing Evidence Into a Stronger Fundraising Story
Turning marketing evidence into a credible investor story — evidence organisation, not persuasion theatre. What supports the narrative, what does not, and what to name honestly.
Startup Unit Economics Every Team Should Know
Startup unit economics as shared operating language — not investor theatre. How CAC, LTV, margin, retention, churn, and payback connect, without fake benchmarks.
What Healthy CAC Payback Looks Like for Startups
CAC payback is a diagnostic, not proof of healthy growth. How to calculate it carefully, read it in context of margin, retention, and channel, and decide before scaling.
Activation, Retention and Churn: Startup Metrics
Activation, retention, and churn are directional signals of repeatable startup value — not proof of scale. How to define, segment, and interpret them without fake benchmarks.
How to Choose a North Star Metric
A North Star Metric is a single focus metric that represents recurring customer value created by the product. The danger is not having no metric; it is choosing one that makes the team feel focused while hiding the truth. This article walks the decision framework, the guardrails, and the tests that catch a metric before it lies to you.
AI Max, Performance Max or Shopping: Which Campaign When?
This decision framework explains how to evaluate Standard Shopping, Performance Max, and AI Max-related automation with official-source naming checks, feed and tracking readiness, and safer stay-versus-test logic.
Growth Models & Unit Economics
Growth Loops or Funnels? What Should a Startup Build First?
Growth loops vs funnels is not a question of which model is fashionable. It is a question of which model helps the startup learn and operate now. Funnels are useful when the team is still clarifying ICP, offer, and measurement. Loops become useful when a real, repeatable mechanism actually exists — not before.
ChatGPT Ads vs Google Search Ads: How to Run a Fair Test
This comparison guide shows how to evaluate ChatGPT Ads against Google Search Ads with a clean testing framework, measurement caveats, and funnel-fit logic instead of unsupported platform winner claims.
Google Deindexing: Find and Fix Lost URLs
This diagnostic guide explains how to confirm lost indexed URLs in Search Console, separate indexing loss from ranking loss, and work through technical, canonical, overlap, crawl, and usefulness branches before deleting anything.