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📦 Part 1: The Optimization Delusion
The machines are working perfectly... at sabotaging your brand.
Hey folks—quick note: I’m out this entire week for the holiday of Pesach (yes, I was named after it). That doesn’t mean the machines get to run wild. I already produced this four-part series in advance—because if you let the algorithm take over while you’re out of office, you’ll come back to your brand selling crypto knives on cat meme websites.
Each section of this series has a free teaser for everyone, and a deeper dive for paid members—because just like your ad strategy, not everything should be free.
🚨 Let’s talk about the big lie: Optimization
We’ve all been sold the idea that more data + more automation = better results. But sometimes, when you let the AI cook, what you get isn’t a gourmet meal—it’s spam casserole.
🗺️ Brief History of Optimization Metrics
Let’s take a little trip down Memory Lane—the one paved with dashboards and false confidence:
CTR (Click-Through Rate): The OG metric. You clicked? Great! Except it turns out most clicks come from serial ad clickers, rage clickers, or your own QA guy testing creative.
CPA (Cost Per Action): Seemed smarter—tie spend to actual actions. But what kind of actions? If you're optimizing for free trial signups, don’t act shocked when you attract freebie hunters who ghost after day one.
ROAS (Return on Ad Spend): Now we’re cooking, right? Except... not really. ROAS tells you how much money you immediately made. It says nothing about the long-term health of your customer base. It’s like judging a restaurant by how fast it turns tables, not whether anyone comes back.
🤖 Rise of the Black Box: Smart Bidding, Dumb Strategy
“Let the algorithm decide,” they said. “It knows better,” they whispered. And you believed them.
Enter: Smart Bidding. Google’s black-box bidding engine claims to optimize for your goals based on hundreds of contextual signals—device, time of day, user intent, moon phase, maybe your ex’s Spotify playlist.
But here’s the thing:
You don’t know what it’s really doing.
And if you’re not careful, it starts optimizing for the easiest conversions—the low-hanging, half-rotten fruit.
Let’s say you tell it to go after clicks.
Guess what? You’ll get clicks. Lots of them.
From who?
People who love to click on everything.
(And buy absolutely nothing.)
You tell it to go after cheap sales.
You’ll get them.
From bargain shoppers who churn faster than you can say “cart abandonment.”
💣 The Hidden Cost of "Winning" Too Quickly
Here’s where it gets dangerous. When you only look at the now, you miss what really matters:
📉 Lifetime Value Tanks: That cheap customer? They never come back.
💔 No Loyalty, No Brand Love: You're just a coupon dispenser with a logo.
🧨 Innovation Dies: You stop investing in real growth.
🏃♂️ Consumers Run to Competitors: Because the one who builds the relationship wins.
It’s like picking fruit before it’s ripe. Sure, it looks good today, but bite into it and you’re left with bitter pulp and regrets.
🧨 Over-Optimization: How Chasing Perfection Breaks Everything
Let’s just get this out of the way: your algorithm doesn’t care about your brand. It cares about math. And when you give it blind faith, it optimizes your marketing into a neat little death spiral—one where your best case scenario is a 0.1% boost in CTR and a long-term relationship with... nobody.
Here’s how this cult of “perfect” optimization ends up lighting your budget on fire:
📉 1. Your Brand Starts to Feel Like a Robot
Look, if your ad sounds like it was written by a blender trying to sell SaaS, that’s a problem.
Over-polished, over-engineered ads lose all soul. People scroll past with the same passion they reserve for Terms & Conditions pages.
Keyword-stuffed SEO copy isn’t just cringe—it makes you sound like you’re trying to win a spelling bee, not build trust.
Hyper-personalization? Yeah, great until you’re serving baby formula ads to a guy who Googled “baby Yoda.”
Too clever by half. Too creepy by design.
🚨 2. The Algorithm Eventually Bites Back
Yes, there is such a thing as too much “optimization.” Ask anyone who got slapped by Google's Panda, Penguin, or whatever animal they’re unleashing next.
Overuse of keywords, backlinks, or ad variants? That’s how you get flagged.
Ad platforms now penalize “unnatural behavior.” If your A/B testing has more versions than a Taylor Swift re-release, you might be the problem.
Even the robots get sick of your split tests.
📉 3. You Shrink Your Audience to the Point of Irrelevance
When you obsess over a single KPI like it’s the North Star, you’re just building a funnel for a very specific—and very small—type of person.
That person clicks. Maybe even buys.
But you’ve now excluded the 95% of your potential audience that doesn’t fit that narrow mold.
Also: congrats, your ad creative is now the brand equivalent of an overused stock photo of a “happy millennial using a laptop.”
🔥 4. You Win the Short-Term Battle and Lose the Entire War
Aggressive retargeting is how you go from “interesting brand” to “why do I keep seeing this toothpaste ad on every website I visit?”
Too much budget automation and strict ROAS targets? You’ll never discover new audiences.
You’ll coast on easy wins, bleed LTV, and wake up wondering why your CAC just doubled.
But hey—your dashboard looks fantastic.
🧠 5. You Start Mistaking Noise for Truth
When everything is optimized, nothing is optimized.
You tweak too early, kill creative too soon, and chase shadows that looked like trends.
Overfitting your data models is how you end up “learning” that the best audience for your fintech app is left-handed basket-weavers in Vermont.
Congratulations. You’ve created a self-fulfilling prophecy that does nothing but confirm your worst instincts.
🧯How to Actually Avoid This Mess
(And still keep your job)
✅ Use automation, but keep your brain turned on.
✅ Focus on the human—natural language, organic content, and creative that doesn’t scream “optimized.”
✅ Let campaigns breathe. Data takes time to cook.
✅ And maybe, just maybe... chase value, not just conversions.
Because here’s the truth: over-optimization isn’t strategy. It’s panic with a spreadsheet.
And panic never scales.
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