I’m passionate about exploring the ins and outs of Google Ads and ad optimization strategies to share insights that can make a difference. Helping smaller businesses succeed is something I truly care about, and I love offering practical tips and advice whenever I can. My goal is to provide content that’s both helpful and easy to understand, so businesses of all sizes can see real results.


(Especially if you’re tired of babysitting your ads)
If you’ve been running Google Ads for a while, you probably did everything “right.”
You built super-granular campaigns.
You obsessed over exact match keywords.
You kept everything as manual as possible so you could “stay in control.”
That used to work.
But going into 2026, that same playbook is quietly working against you. Instead of rewarding manual control, Google is rewarding accounts that give its AI clean data, clear goals, and room to learn.
When we cling to old habits—like hundreds of tiny ad groups or “locking things down” too tightly—we often see:
Higher cost per click
Fewer impressions
Stalled or declining performance
Not because your business is broken… but because the platform has changed.
Think of your role now less like a switch-flipper and more like a guide. Your job is to give the algorithm smart structure, good data, and time to learn—then let it do what it’s designed to do.
This post walks through five Google Ads truths that feel counter-intuitive at first, but are key to scaling calmly and sustainably in 2026.
1. Stop Micromanaging: Your Hyper-Granular Account is Starving the AI
For years, SKAGs (Single Keyword Ad Groups) were the “thing.”
One keyword.
One ad group.
One super-relevant ad and landing page.
It felt beautifully organized and logical.
But here’s the catch: Google’s newer AI tools—like Smart Bidding and Responsive Search Ads—don’t just like data… they need a lot of it to learn well.
When your account is split into hundreds of tiny SKAGs, what actually happens is:
Each ad group only gets a trickle of traffic
The algorithm never sees enough data in one place
It struggles to learn what actually works
So instead of “precision,” you end up with an account full of underfed ad groups that never really take off.
The modern structure looks more like this:
Fewer, tightly themed ad groups
Keywords grouped by intent, not tiny variations of phrasing
Instead of one keyword per ad group, you might have 5–20 closely related keywords that represent the same user goal. For example:
“teeth whitening near me”
“professional teeth whitening”
“cosmetic dentist teeth whitening”
Those can live together if they point to the same service and outcome.
This lets you:
Pool impressions and clicks into one stronger data set
Help the AI learn faster
Spend more time on strategy and less time babysitting 200+ ad groups
Your job now: you’re not the person obsessively tweaking every single keyword—you’re the strategic architect who designs a clean, learnable structure the AI can work with.
2. Broad Match Isn’t the Villain Anymore (As Long As It Has a Chaperone)
If you’ve ever been burned by Broad Match, you are not alone.
For a long time, it had a reputation for blowing through budget on random, irrelevant searches. So most savvy advertisers stuck to Phrase and Exact Match to stay safe.
But Google’s understanding of search intent has come a long way. Today, Broad Match can be an incredible discovery tool—when it’s paired with the right bidding strategy.
Broad Match on its own? Still risky.
Broad Match with conversion-based Smart Bidding? That’s where the magic happens.
When you pair Broad Match with strategies like:
Target CPA (cost per acquisition)
Target ROAS (return on ad spend)
You’re basically telling Google:
“You’re allowed to explore, but only go after traffic that’s likely to convert.”
The algorithm then uses hundreds of signals—like device, location, time of day, past behavior, and more—to decide:
When to bid aggressively
When to bid low
When not to bid at all
This lets you tap into new search terms and audiences you might never have thought to target manually, without opening the floodgates to junk traffic.
For most accounts, the best setup looks like:
Broad Match for discovery and scale
Exact Match for your proven, high-value search terms
This gives you the reach you need to grow, while still protecting your most important keywords with more predictable performance.
3. Performance Max Isn’t a Black Box—If You Stop Treating It Like One Big Bucket
Performance Max (PMax) can feel like a mystery box:
You add all your products, all your assets, and hope Google figures it out.
A lot of businesses run one giant PMax campaign and then feel frustrated when:
Budget flows to low-margin, “safe” products
High-margin or strategic products don’t get the love they deserve
They feel like they’ve lost control
Here’s the shift: true control with PMax comes from more intentional segmentation, not fewer campaigns.
Instead of one “catch-all” campaign, you’ll usually get better results by breaking things out thoughtfully. For example:
By profit margin
One campaign for high-margin products
One for low-margin “entry” products
By product performance
One for best-sellers
One for regular or slower movers
By business goal
One for new customer acquisition
One for retention or repeat buyers
By inventory
One for overstock items to clear
One for products you don’t want to oversell
This lets you:
Set different budgets per campaign
Set different ROAS or CPA targets
Align your spend with what matters most to your business
You move from “I hope this works” to “Each PMax campaign has a job, and I’m telling the AI exactly what success looks like for that job.”
4. Your Product Feed is Quietly Running the Show (Custom Labels = New Bidding Levers)
If PMax is the engine, your product feed is the fuel.
Most e-commerce brands treat their Merchant Center feed like a basic product list. But when automation is doing the heavy lifting, what you put into that feed becomes one of your biggest strategic levers.
The tool I see most underused? Custom Labels.
These are internal-only fields (custom_label_0 through custom_label_4) you can use to tag products however makes sense for your business. Customers never see them—but Google’s systems do.
Here’s a simple way to turn your feed into a smart, strategic asset:
Custom Lable. - Theme. - Example Values. - What it helps you do.
custom_label_0. - Season. - Spring, Summer, Fall, Winter. - Spin up seasonal campaigns quickly
custom_label_1. - Margin Tier - High, Medium, Low. - Prioritize budget toward high-margin products
custom_label_2. - Price Range. - Under $50, $50–$100, Over $100- Adjust bids and messaging based on price point
Once those labels are in place, you can:
Build separate PMax campaigns around them
Set different targets based on margin or goal
Make faster, cleaner decisions without manually managing endless product lists
In an automated world, the work you do before the auction—especially in your feed—is where a lot of your competitive advantage lives.
5. The 90-Day Patience Rule: Stop “Fixing” New Campaigns Too Fast
This one is big, especially for high-achieving business owners who like to see quick results.
One of the most expensive mistakes I see is over-optimizing too early.
A new campaign launches…
Week 1: “The results aren’t there yet.”
Week 2: You’re changing bids, pausing keywords, rewriting ads, maybe even rebuilding the whole thing.
From the outside, this looks like “being on top of it.”
In reality, it often resets the learning process over and over—and burns budget without giving the AI a fair chance.
Here’s a healthier way to frame it:
Month 1: The goal is clean data.
Make sure conversion tracking is accurate
Aim for steady clicks and some early conversions
Focus on verifying that the plumbing is working
Month 2: The goal is volume.
Now you want enough conversions for Smart Bidding to really learn
As a general rule, think in terms of 30–50+ conversions in a 30-day period
Some advertisers won’t move to Target ROAS until they’ve logged 75+ solid conversions
Month 3: The goal is profitability.
With a foundation of good data, this is where you tighten things up
Adjust targets, prune what’s clearly not working, and scale what is
Make changes based on patterns, not panic
Turning on something like Target ROAS too early, with almost no history, is like telling the algorithm, “Be extremely picky… even though you barely know what works yet.” That’s when cost per click spikes and conversions drop.
Your secret weapon in the early months? Patience paired with smart tracking.
You’re not being passive—you’re actively feeding the system the information it needs before you ask it to deliver top-tier performance.
Conclusion: Your New Role is AI Governor, Not Ad Babysitter
All five of these truths point to a bigger shift:
You’re no longer meant to be the person tweaking every keyword and bid by hand.
You’re the governor of a powerful AI system—the one who:
Defines clear business goals
Designs simple, strategic structures
Feeds the platform high-quality data
Gives it enough time to learn before demanding results
Google’s AI is only getting smarter. The advertisers and business owners who win in 2026 won’t be the ones fighting it… they’ll be the ones partnering with it.
If reading this made you think, “Okay, I get it… but I do not have the time or brainspace to manage all of this,” that’s exactly what I help with.
I manage the strategy, the structure, and the day-to-day optimization so you can stay focused on your clients, your family, and the parts of your business that you actually love.
Want support with Google Ads in 2026?
Send me a message or book a strategy call, and we’ll talk through what this could look like for your business.

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