Fundamentals and technical how-tos: campaign structure, tracking, bidding — the things that must be right before optimising.
20 posts
Choosing One versus Every for conversion counting in Google Ads dictates machine learning data quality. Minh breaks down how duplicate data distorts Smart Bidding.
Scaling Meta Ads during peak sale days easily fails if you only look at Blended ROAS. Minh explains why intraday scaling must track New Customer ROAS.
Weekly marketing reports often go unread. Minh outlines the four boundaries required to let AI agents monitor anomalies instead of cluttering your dashboards.
Stacking ad groups inside a single Demand Gen campaign causes Google to dump budget into cheap audiences. Minh explains why splitting campaigns is essential to scale.
Many assume AI will eliminate company websites. Minh analyzes real data: AI drives discovery and recommendations, but an owned website remains where buyers verify trust.
AI Max targets in-market people rather than keywords. It pays off only when the account already has clean conversion data and buyers research before they purchase.
A 52-second Ahrefs sketch makes the point: AI isn't biased toward competitors, it names brands the internet already talks about. Why share of voice is now a survival metric.
Meta optimizes for the event you declare, not the outcome you want. Minh breaks down how to redefine what counts as a lead and what an order is worth before touching targeting.
An account stuck on creative rarely needs more ads. Here is how Minh reads the four axes worth changing, and how to keep a variant test clean enough to explain its own winner.
Google Ads is more than Search and Shopping. Learn how to test creatives using CPA curves, decay rate, and audience portability.
Stop arguing whether Shopping or Performance Max is better. The right answer is whichever drives profitable sales for your brand right now.
AI speeds up drafting, but audience insight and practical storytelling are still what create lasting marketing impact.
When scaling Google Ads past $10k, CPC spikes while conversions flatline. Solve this scaling trap using Vertical and Horizontal strategy.
A practical summary of key Google Ads technical rules to prevent disapprovals and keep campaigns delivering.
Relying on your website, blending in, and over-narrow targeting create sales friction. Minh shares a 4-pillar framework to fix it.
A practical comparison of Google Search Ads vs Local Service Ads for local businesses: pros, cons, and when to run each channel.
When lead volume rises but close rate stays low, the issue is often optimization quality—not budget. This article shows how Minh fixes conversion signals and lead quality before scaling ad spend.
The 95/5 rule shows that only 5% of B2B buyers are in-market at any time. This post explains how to balance demand capture and demand creation for both short-term and long-term growth.
Stop optimizing for lead volume alone. Shift Google Ads toward lead quality with Target CPA, Target ROAS, and Enhanced Conversions to drive real revenue.
Brand awareness does not have a hard-conversion metric like leads or revenue, but it can still be measured through the right signal set. Here are 3 practical signals that make quarterly reporting clearer and less subjective.