March 23, 2026

Not all ad accounts have the same budget… But budget size should shape your strategy, not limit your success. Here’s the real difference 🔵 Big Budgets• Can rely more on automated bidding strategies• Broader targeting and match types (including broad match)• Faster learning thanks to higher conversion volume• Easier scaling and testing opportunities• Focus on […]

Few focus on making sure those conversions are counted correctly. If you track purchases in Google Ads without using a transaction ID, your data may be wrong. Here’s why. When a customer completes a purchase, they land on the confirmation page where the conversion tag fires. But users often: Reload the pageBookmark the pageReturn laterTrigger

It fails because it’s written for the wrong reader. Too many people write to impress colleagues. They use jargon. Frameworks. Trendy ideas. Other experts nod. Engagement goes up. But revenue doesn’t. Your buyer isn’t looking for intelligence. They’re looking for relief. They want to feel understood. They want to see their exact problem. They want

1. User Clicks Your Ad on Mobile Someone searches on Google using their phone.They click your ad and visit your website. 2. User Shares Contact Details Later they may:Sign upEnter their emailStart checkoutSubmit a lead formThis creates first-party data (like email or phone number). 3. Data Is Hashed for Privacy The contact details are:EncryptedHashedSent securelyNo

Most landing pages don’t have a traffic problem. They have a conversion problem. You don’t need more visitors. You need more of them to BUY. Here’s what actually moves revenue: Your hero section decides everything If it’s unclear → they leave If it’s specific → they stay Confusion kills sales If people have to think,

Not always. Dmitry Nekrasov made a cheat sheet for metrics that sound good, but actually mislead. – Some hide problems.– Some look fine, but slow you down.– Some give you zero actionable signal. Here’s what you’ll find inside: → Metrics that create false confidence(like ROAS or blended CAC) → Metrics that seem useful, but lack

It’s defensiveness. This quote hits especially hard in performance marketing, where: – experiments fail more often than they win– feedback usually comes in the form of numbers, not compliments– and clients, colleagues and platforms constantly challenge your assumptions Every time you push back emotionally on feedback, you lose twice. You lose the insight that could

You can’t treat ChatGPT ads like a normal ad placement. Here’s how OpenAI’s ChatGPT ads setup actually works ↓ ChatGPT ads are essentially a contextual, in-chat placement model. But instead of optimising around audiences, cookies, or user profiles, it optimises around conversation context and intent. It’s built on four layers: Delivery & placement ↳ Ads

Here’s how Google’s AI Max workflow actually works ↓ AI Max is essentially a Performance Max-style upgrade for Search. But instead of optimising around keywords and ads, it optimises around intent, assets, and destinations. It’s built on four layers: Strategy & direction↳ Balance automation with control↳ Move from strict keywords to AI-driven search term matching↳

New research on AI & jobs just dropped, and the results might surprise you. Key takeaways from a major 2026 study on AI and the labor market: 1️⃣ AI’s real impact is still small. Even though many tasks could be automated, actual AI usage covers only a fraction of what’s theoretically possible. 2️⃣ Some jobs