Google's Aug 17 bidding change: what budget capped accounts lose
Google's August 17, 2026 bidding change does not fix broken bid targets. It punishes the accounts that set targets loose on purpose, and it quietly breaks the accounts that follow Google's own recommended fix. Googles own example: a campaign with a $10 Target CPA that has actually been converting at $5 will drift back toward $10 once the change lands. Consultant Joey Bidner and Googles own Ginny Marvin have already disagreed, on the record, about who that serves, and neither of them is asking the question that actually decides it.
We run enterprise Google Ads accounts for a living. The answer to who loses is in the search terms report rather than the dashboard or the LinkedIn argument about it, and almost nobody explaining this change has opened one.
What does the August 17 bidding change do?
Target CPA and Target ROAS are both Smart Bidding strategies. With Target CPA you set an average cost per conversion you are willing to pay. Target ROAS asks for a return on ad spend as a percentage instead. Any campaign running one of those strategies that Google Ads currently marks "Limited by budget," meaning the daily budget is capping how often it could otherwise show, gets pulled toward its stated target starting August 17 instead of being allowed to run past it. A campaign with a $10 Target CPA that has been quietly converting at $5 will move toward $10, and a campaign targeting 200 percent ROAS while delivering closer to 400 percent settles back toward 200. Google is not adjusting anyone's numbers directly. It is making the number in the box start to mean what it says.
It applies to Search, Shopping, Performance Max, Demand Gen, and Travel campaigns in Google Ads, Search Ads 360, and Display and Video 360. A separate notice gives Demand Gen line items inside Display and Video 360 the same August 17 deadline, which an agency auditing only its main Google Ads seats will miss. Manual CPC and Target Impression Share are excluded, and so are App campaigns, Video reach campaigns, and Video view campaigns. Hotel and Display campaigns already run this way today, so nothing changes for them on the 17th.
Google shipped a Bid Target Adjustment Tool inside Google Ads accounts on July 6, giving advertisers roughly six weeks to look at exposed campaigns before the change takes effect. Any account with a campaign that was budget limited on an affected strategy at any point in the last twelve months has a notification waiting in it right now.
Two groups of advertisers lose when Google enforces bid targets
Most coverage treats an underperforming target as a bug waiting to be fixed. For two groups of advertisers it was a deliberate setting rather than a bug, and August 17 removes the thing that made it work.
The first group set their targets loose on purpose. Joey Bidner, a freelance Google Ads consultant, said as much in a LinkedIn post: "Some of my best-performing accounts INTENTIONALLY run with low tROAS or high tCPA targets because they give smart bidding the freedom to explore, discover new customers, and find efficiencies over time." We made a version of this argument about Smart Bidding's blind spots two weeks ago: the machine does the math well and has no idea which room to explore is worth keeping. Take that room away and Smart Bidding has less reason to spend on an unproven query when a known converter is sitting right there. Bidner called the update "one of the most self serving Google-centric changes we've seen in years."
Google's Ginny Marvin, the company's Ads Product Liaison, answered him directly in the same thread. The change only touches budget constrained campaigns, she said, because unconstrained campaigns already behave this way: "we're making the controls clearer." Neither is wrong about what the update does, they disagree about who it serves.
Maggie Humphrey, Director of Ecommerce at Cypress North, put the contradiction to Marvin directly: Google says the change only affects budget constrained campaigns, while also describing it as changing bidding systems to deliver more predictable performance generally. Those two claims can both be true and still read like two different pitches to two different audiences.
The second group gets almost no coverage. These are the advertisers who take Google's own recommended fix, open the adjustment tool and match the target to recent performance. Rob Johnston, a digital marketing consultant, explained the problem with that, commenting directly on Bidner's post: "What was an efficient CPA at a particular volume today, won't necessarily be tomorrow... as soon as the SERP gets more competitive, if quality scores reduce, etc., you then need to manually increase the tCPA again when volumes fall. Currently the system figures all of that out for you when setting more conservative targets." A looser target used to absorb that drift automatically. Match the target to today's number and a person now has to notice the drift and fix it by hand, and most accounts do not have anyone assigned to that job.
Does this change affect my account?
Check two things: the bid strategy and the campaign status. If a campaign runs Target CPA or Target ROAS and Google Ads currently shows it as "Limited by budget," it is affected. If it runs Manual CPC, Target Impression Share, or sits in an App, Video reach, or Video view campaign, it is not. A campaign that is not budget limited today is also not affected, regardless of bid strategy, since the new behavior only applies once the budget itself is the constraint.
Google's tool cannot tell you which option to pick
Google's Bid Target Adjustment Tool gives four honest options: keep the current target and accept the drift, match the target to recent performance, set a custom target, or drop the target entirely by switching to Maximize Conversions or Maximize Conversion Value. What it does not do, and cannot do from inside the platform, is tell you which option fits your account. That answer lives one level below the dashboard, in the search terms feeding that campaign right now.
The question is whether your current CPA or ROAS is durable efficiency or a temporary accident of this month's query mix. A campaign converting at $5 against a $10 target could be winning because it found a genuinely efficient, repeatable segment of demand. It could also be winning because a handful of unusually cheap, high intent queries happened to convert well this month, queries that will not be there in September. Google's dashboard cannot tell the difference, but a query level pull can, and it takes about fifteen minutes.
Pull the search terms report for the campaign in question over the last 90 days, sort by conversions descending, and add a running cumulative percentage column. If the top 20 percent of converting queries are carrying 70 percent or more of total conversions at well below target cost, and those top queries are branded or clearly high intent rather than long tail guesses, the efficiency is concentrated and probably real. Matching the target to recent performance is a reasonable move. If conversions are spread thin with no query or small group of queries dominating, or if the concentration only shows up in one recent month, pull the same 90 day window from three months earlier and compare. A concentration that shows up once is a seasonal accident rather than a trend, and that $5 CPA was never a stable number to lock in. I no longer trust a single 90 day window on its own for this reason. In that case a custom target, set closer to what the durable segment of queries supports, protects you from committing to a number the account cannot repeat.
None of the four options in Google's tool is wrong. The mistake is picking one without running that query level check first, which is the step every published explainer of this change skips.
What should I do before August 17?
Pull every campaign flagged "Limited by budget" running Target CPA or Target ROAS, across Google Ads, Search Ads 360, and Display and Video 360 if you manage across platforms.
For each one, run the 90 day search terms concentration check above before opening the adjustment tool.
For accounts with durable, concentrated efficiency, match the target to recent performance, or set it slightly above recent performance to leave the campaign a little room.
For accounts where the efficiency looks like a seasonal or query mix accident, set a custom target based on what the durable segment supports, not the blended average.
Whatever you change, wait one to two full conversion cycles before judging the result. Google's own guidance says the same thing, and it is right: Smart Bidding needs that long to settle into a new target, and judging it on day three just measures the relearning period, not the actual outcome.
Do not reach for data exclusions or new bid limits as a response to this change. That is a different tool for a different problem, and using it here adds a second moving variable to a measurement window that needs to stay clean.
Budget capped accounts have to choose a number on purpose now
Google is not wrong that a target nobody has looked at in a year is a real problem worth fixing. Bidner is not wrong that some of those loose targets were never an oversight. Both things are true in different accounts, and the accounts that lose here are the ones that answer that question by guessing instead of checking. Google's tool will take whatever number you give it and hold you to it, honestly and exactly as promised. It was never going to tell you which number to give it. That part was always going to be someone's job, and after August 17, it is worth making sure it is actually someone's.
FAQ
What does "Limited by budget" mean in Google Ads?
Google Ads applies that status when the daily budget is capping how often the campaign's ads could otherwise show. Raise the budget and the campaign would likely spend more and win more auctions.
Does the August 17 change affect Performance Max campaigns?
Yes, if it runs Target CPA or Target ROAS and is flagged "Limited by budget." It is one of five affected campaign types, along with Search, Shopping, Demand Gen, and Travel.
Does the August 17 change affect Manual CPC campaigns?
No. Manual CPC, Target Impression Share, App campaigns, Video reach campaigns, and Video view campaigns are all explicitly excluded from the August 17, 2026 update.
What is Google's Bid Target Adjustment Tool?
It is a tool that became available inside Google Ads accounts on July 6, 2026, letting advertisers review historical performance on budget limited campaigns and choose to keep the current target, match it to recent performance, set a custom target, or switch bid strategy entirely before the August 17 change takes effect.
Should I wait until August 17 to decide what to do?
No. The tool has been there since July 6, which is time enough to check the search terms on every affected campaign before you pick a target. Wait past the deadline and the account just defaults into whatever it happens to be running.
Autopilot Isn't Strategy: The Google Ads Automation Problems Your Dashboard Hides
Google Ads automation tends to look good on the dashboard, and the search terms report is usually where the problems show up. The most common Google Ads automation problems are budget drifting to low intent queries, Smart Bidding optimizing toward conversions that are not sales, and Performance Max spending across channels the advertiser cannot budget individually. None of it shows up as a red number in your reporting, because campaign level averages absorb it.
We run enterprise Google Ads accounts for a living, and we are not anti automation. Nobody can hand calculate a bid for every auction, and the credible data people in this industry stopped arguing for manual bidding years ago. We made the longer version of this argument when over reliance first showed up in growth numbers: automation is a setting, and someone still has to know what that setting can't see.
Is Smart Bidding wasting my money?
Smart Bidding is Googles machine learning bid system that sets a bid for every auction based on predicted conversion likelihood. It does that math better than any human will. It also has no idea which conversions matter. If an account counts form fills, phone calls, and newsletter signups equally, Smart Bidding will chase whichever is cheapest, and the cheapest one is almost never the one worth money. The waste comes from the conversion signal, not the bidding math.
Where does Google Ads automation actually waste money?
Google Ads automation wastes money in four places. Broad match wandering into queries that will never buy. Bids on branded terms that would have converted anyway. Conversion definitions that reward volume over value. And the automated campaign types that spread one budget across channels you cannot control separately. Query level waste is usually the largest, and no dashboard view will show it to you.
Finding it takes about an hour and no special tools. Pull the search terms report for the last 90 days, sort by cost. The export itself only takes a few minutes even on a big account. Flag every term with meaningful spend and zero conversions, then trace each one back to the match type or campaign setting that let it in. It is tedious but in most accounts this is where the recoverable spend sits.
Five Smart Bidding problems that never show up in your dashboard
You probably know the first three already. Four and five are the ones that get ignored, and they usually cost more.
1. Learning phases spend real money to learn
A target change can push Smart Bidding back into learning. So can a conversion tracking edit or a big budget shift. The system spends while it relearns. A large account can absorb that as noise. On a $5,000 per month account it is real money buying data instead of customers.
2. It optimizes to the easiest conversion, not the one you sell
Open the conversion actions column and count what is in it. Takes about two minutes. Do it now if you have the account open. An account counting five conversion actions equally is telling the machine that a newsletter signup equals a demo request, and the machine believes you. Bids flow to whatever converts cheapest, and the pipeline quietly fills with the conversion nobody can invoice. There is no setting that fixes this. You need one primary conversion action per campaign goal, valued the way the business values it.
3. Target tinkering resets the machine
Nudging tCPA every few days feels productive. Each change just restarts the learning clock. Change targets rarely, and only when there is enough conversion volume to judge the result.
4. Performance Max harvests the brand traffic you already owned
In Optmyzr's 2024 study of 503 accounts, run before Google added Performance Max negative keywords, 91.45% had search term overlap between Performance Max and their Search campaigns, and exact match keywords did not prevent it. When PMax captures your brand queries, its reported ROAS inflates on conversions your plain brand campaign would have won for less.
5. On low volume, the algorithm is guessing
Machine learning needs data, and a handful of conversions a month does not give Smart Bidding enough of it to predict anything reliably. Long B2B sales cycles and niche products feel this hardest so those accounts need a person reading query intent.
One more that sits just outside Smart Bidding: Google's auto apply recommendations can change bids, budgets, and keywords without approval, and every one of those changes should get looked at by a person before it stands.
Can you see what Performance Max is spending on?
Partially. Performance Max is Googles automated campaign type that takes one budget and spends it across Search, Display, YouTube, Gmail, Discover, and Maps, and the visibility into where that money actually goes arrived years late and is still not complete.
For its first three years, advertisers could not see full search terms or apply negative keywords at any real scale. Campaign level negative keywords only launched in January 2025 capped at 100, raised to 10,000 that March, and full search terms reporting rolled out from May 30, 2025. Those controls exist because advertisers spent three years demanding them. Channel level budget control still does not exist.
Let the automation run when volume is high, the conversion data is clean, and the thing it is optimizing toward actually produces revenue. Otherwise override it. In practice that means brand search, where you are usually paying an algorithm to win auctions you already owned. Low conversion volume too, the predictions down there are guesses. And long sales cycles, where the real conversion happens months after the click and all the machine ever sees is an early proxy.
Human guided automation: what to control and what to release
Human guided automation means the machine keeps the bidding and the matching, and a person keeps the three calls it cannot make: which conversions actually count as success, which queries and placements are off limits, how much budget each objective deserves. Everything else the machine can keep.
In practice: a weekly search query based review with a real negative keyword program behind it, one meaningful conversion action per campaign goal, targets changed rarely and measured properly, PMax watched at the channel and brand level. None of it is complicated, it is just work the dashboard will not do for you, and the results of doing it show up in numbers.
Autopilot is a fine setting, it is not a strategy. The parts you can do yourself are all in this article, starting with the search terms report. Where accounts usually need help is wiring conversions to the CRM so the machine optimizes to deals instead of form fills, and untangling what Performance Max is really doing under the brand line. That is the conversation we are useful for.
FAQ
Should I turn off Google Ads automation completely?
No. Manual bidding in 2026 usually underperforms Smart Bidding because auctions price on signals only Google sees. The fix for automation waste is controlling the inputs, mainly conversion definitions and negative keywords, not abandoning the machine.
How do I find wasted spend in an automated Google Ads account?
Start with the search terms report sorted by cost with zero conversions over the last 90 days, then check Performance Max search terms and channel distribution. In most accounts those two views turn up most of the recoverable waste inside an hour.
Does broad match waste money with Smart Bidding?
Broad match can waste money even with Smart Bidding. Google recommends the pairing because the algorithm bids down on poor queries, but bids down is not bids zero. Without an active negative keyword program broad match accounts steadily pile up spend on queries that will never convert.
Should I turn off auto apply recommendations in Google Ads?
Yes, for most managed accounts. Auto apply recommendations can change bids, budgets, and keywords without approval. Review each recommendation type manually and disable automatic application for anything that spends money.
How often should automated campaigns be reviewed by a human?
Automated Google Ads campaigns should be reviewed weekly for search terms and budget pacing, and monthly for conversion quality and Performance Max channel distribution. Automation adapts daily, so a quarterly review cadence lets waste compound for 90 days before anyone sees it.
Is Over-Reliance on Google Ads Automation Slowing Your Paid Search Growth?
Over the past two decades working in the trenches of paid search, I've seen firsthand the dramatic evolution of Google Ads. In the early days, success came from rolling up your sleeves: manually managing bids, digging through raw search term reports, and optimizing campaigns through a mix of intuition, testing, and deep data analysis. I still remember refreshing spreadsheets late into the night just to adjust a handful of bids. Today, we're in a very different landscape, and Google now champions automation, from auto-apply suggestions to Performance Max campaigns, positioning machine learning as the path to "optimal" performance.
Yes, automation can be powerful. If you've seen the metrics on how quickly machine learning models can process enormous sets of data, you know its impressive. And if you're brand new to paid search, a simplified campaign structure could indeed prevent rookie mistakes. But advertisers who are serious about growth shouldn't simply defer to Google's automation at every step.
Advertisers who blindly follow Google's automation-first approach risk handing over control, and with it, limiting growth potential. With 20 years of experience building, restructuring, and scaling paid search campaigns, I've learned that relying on Google Ads automation without strategic oversight can be a costly mistake. When you give Google full control, you also give up visibility and agility, along with the ability to fine-tune your strategy for maximum return. If you're serious about growth, "set it and forget it" simply isn't good enough.
Let's now dig into why Google pushes automation so hard, how a "black box" approach can work against you, where automation truly shines, and how to use it judiciously as a tool, not a crutch, that maximizes returns.
Google's priority is Google
In any conversation about Google's automated features, I find it important to remember one core fact: Google is a publicly traded company with an obligation to drive consistent, ever-increasing profits for it's shareholders. Of course, the company wants advertisers to see decent results: if we don't, we'll pull our budgets. But Google's first priority will always be its bottom line. So when they talk about "best practices" or "recommending" certain campaign structures, we have to ask ourselves: best for whom?
Mainstream messaging vs. reality
The mainstream narrative from many Google reps and most agencies often goes like this: "Let the system do the heavy lifting. Machine learning can analyze user behavior better than humans ever could. Trust the algorithms; they'll manage bids and keywords more effectively than manual oversight."
Agencies frequently echo these statements because it can simplify their own workflow. If you're running a large agency with limited staff, setting up broad-match keywords with automated bidding is a quick, hands-off method to get campaigns going, and meet a minimum performance standard.
A "minimum performance standard" isn't what serious advertisers want. If you're in a competitive market or if you're looking to grow aggressively, you don't want "serviceable" results. You want to squeeze every drop of value from your ad spend. And that's where blind faith in automation might underdeliver.
Why would Google encourage it?
Google encourages these automated campaigns for a few reasons.
There are thousands of small businesses that know next to nothing about Google Ads, and automation is a one-size-fits-all solution that ensures they at least get something out of their budget without too many rookie mistakes.
The more the platform automates your decisions, the more you rely on Google's pipeline of data, driving more ad dollars into their ecosystem. If you're no longer scrutinizing search terms or adding negatives, a fair portion of your spend could go toward queries you might have otherwise excluded.
By pushing automation, Google can handle more advertisers and more campaigns without needing humans at every turn. Its a volume play that also benefits them financially.
That's not to say automation is evil or inherently bad, and as I'll discuss later, Google's bidding algorithms can be an asset. The issue arises when advertisers assume Google's top priority is their ROI, rather than Google's.
Performance Max and the "black box"
Performance Max (PMax) campaigns are one of Google's most well-known automated products. They combine several channels: Search, Display, YouTube, Discover, all under a single umbrella. You provide creative assets, some targeting parameters, and a goal (like a CPA target), and Google's machine learning handles the rest.
But many advertisers call PMax a "black box," and it's worth looking at why.
Limited visibility into search terms
Traditionally, if you run a Search campaign, you can open a Search Terms report to see exactly what users typed before clicking on your ad. In Performance Max, Search Term data is not normally reported, resulting in a "black box" with only the smallest of glimpses on the Insights tab. This lack of Search Term and distribution data visibility means you are unable to optimize away from irrelevant and potentially costly Search Terms.
Fans of Performance Max would say, "Google's algorithm will learn and optimize away poor traffic eventually. You don't need to worry about search terms if you're getting the desired CPA." But without visibility and the ability to fine tune results, you're reliant on spending real ad dollars on the promise of "eventually." PMax slowly learns at your expense, and you're forced to take Google's word for it that these dollars were spent efficiently. The lack of transparency suggests there's data Google isn't eager to show. Reaching a desired CPA isn't enough: a well optimized campaign should be maximizing conversion volume within the constraints of a viable CPA target.
Its true that machine learning can eventually spot some patterns of irrelevance, but only after you've paid for enough clicks to teach it. Google's "learning phase" of machine learning is an expense passed onto the advertiser. If you already know to exclude certain terms, or if you suspect certain queries might be unprofitable, just block them. As an account matures, continually prune non-relevant search terms from the campaign or ad group. Performance Max doesn't make that easy, so you end up spending more than you need to on "learning" and optimization.
Brand traffic masking
Another frequent issue with Performance Max is how it handles brand traffic. Brand searches, like someone typing "[Your Brand Name] dresses," are typically high-converting and low-cost because you're relevant to your own name. If PMax lumps these brand searches in with all your other traffic, your campaign metrics can look fantastic, but that success might be heavily padded by brand terms and masking ad spend waste on non-branded search terms.
If you don't isolate brand terms, you don't have a clear view of how well you're doing in capturing net new audiences. You might see a good Cost Per Lead, but 50% (or more) of your conversions could be people who were already looking for your brand. So you're misled into thinking your campaign is performing better than it truly is.
Brand traffic is cheap and high-performing and is a valid part of your portfolio, but it needs to be isolated and optimized separately from your non-branded keywords in order to maximize coverage and efficiency. PMax masks these terms and can cannibalize these terms unless you set up brand exclusions, though many advertisers aren't even aware that's an option.
Separate your brand campaigns. If your brand is strong enough to generate frequent search traffic, that's great, but it's a different beast than generic or competitor terms. To get an accurate read on your performance, isolate brand terms so you can properly evaluate how well you're reaching new prospects.
Where automation shines and where it lacks
You might think that we're anti-Google Ads automation. That's not the case. In fact, we believe certain aspects of Google's automation have become extremely effective, notably its bidding algorithms. Campaign types like Performance Max (PMax), dynamic search and so on are fantastic options in combination with a strong search only campaign structure.
Bidding algorithms: a legitimate advantage
Google's automated bidding, whether it's Max Conversions with a Target CPA or Target ROAS, can be a genuine asset if you provide the right signals. In an ideal scenario, you have a well structured campaign foundation (or set of campaigns) with relevant keyword detail and ad group segmentation, clean conversion data that tracks the metrics you truly care about (sales, qualified leads, etc.), and enough budget to let the algorithms gather data without constantly being budget-constrained.
When that's in place, Google's machine learning can be very effective at adjusting bids in real time, factoring in dozens or even hundreds of signals, like device type, time of day, audience segments, or past user behavior. These are details a human paid search manager might struggle to optimize continuously. Our experience and multiple studies have shown that when used correctly, automated bidding can outperform manual bidding in terms of stable, predictable CPAs or ROAS goals.
The transparency gap
However, automation falls apart if you're not able to see and respond to what's really going on. If the system decides to run your ads on irrelevant or low-intent searches and you never see those queries in a report, you can't correct the course. You are blind to the data, and you can't add negative keywords for patterns that are hidden from you. Sure, the algorithm might eventually weed them out, but not before you've spent valuable budget (and time) essentially training Google's system.
Many paid search managers, agencies and Google claim that partial data visibility shouldn't matter: what counts is your final CPA or ROAS. But that's not entirely accurate, even when you're hitting the target.
That argument only holds if you aren't interested in growth. Even if your CPA looks good, you are sacrificing scale potential and missing out on more profitable subsets of traffic by allowing inefficiencies to fester outside of your view and positive themes to remain under-tapped. Transparency isn't just about cost control; it's also about finding new opportunities to expand and grow your business.
Balancing automation with strategy
Automation can be beneficial and risky at the same time. My recommendation is to treat Google's automated features as one tool in your arsenal, not the entire foundation of your paid search strategy. Think of it like hiring an assistant: they can handle a lot of day-to-day tasks, but you, as the strategist and paid search manager, should still build the right foundation for success.
Concrete steps to implement a better automation approach
Run a separate brand campaign if possible so you can keep an eye on brand versus non-brand results. This helps you see your real cost and conversion metrics for new audiences.
Don't just rely on broad match keywords with automated bidding. Build out your exact and phrase match keywords, create tightly themed ad groups to control relevance and messaging, and go as deep as possible with keyword depth, ad groups, hyper relevant ads, and landing page alignment. Then layer on Target CPA or Target ROAS with Maximize Conversions on top of this solid foundation for best results.
Keep researching negative keywords, continuously. If you're not reliant on Performance Max, regularly check your Search Terms reports and add negatives. If you're using PMax, push for brand exclusions and coordinate with Google reps for advanced negative keyword implementation. Don't assume Google "learns" everything quickly. When revenue isn't tracked in Google Ads, optimizing toward lead quality and lead values becomes imperative. Not all leads are created equal.
Automated bidding algorithms need some wiggle room to gather data, so set realistic targets. If your CPA target is set too low, the system might starve for data and make erratic bids, or fail to serve ads at all. By contrast, a balanced target gives Google's algorithm the freedom to test and find your best audiences.
Paid search management is not a set it and forget it channel, so keep monitoring and refining. Regular analysis and optimization are needed to win versus your competitors in the bidding auction. Just because a campaign looks good at first pass doesn't mean you can let it run unchecked. The goal should be to improve performance and extract as much value as possible from each dollar invested. Increasing your lead volume and decreasing cost per lead requires knowing what levers to pull and when to pull them.
Beyond the hype, and why I remain steadfast in my approach to paid search
People often ask why we don't simply hand over full control of our clients' ad budgets to Google. Here are the objections we hear most, and our take on each.
"Automation saves time and money" Yes, if your goal is just to run ads without hiring a dedicated experienced expert, automation can help. But for advertisers aiming for sustained growth or market domination, you need more than baseline results. High-level success requires a more hands-on approach in combination with effective automation. Likewise, if your goal is to differentiate yourself as a high performing paid search manager or agency, you'll have to reframe your success as your client's paid search account growth, not your return on effort.
"Google's AI knows more than any human could" Google's AI does process more data in real time than we can, but data processing alone doesn't equal strategic success. Humans excel at context, specific strategies, creative problem-solving, and forward-thinking. A purely reactive system, no matter how sophisticated, lacks the foresight to interpret business nuances the way a human expert can. Today, "AI plus human" is better than AI without a human.
"Our agency says it's industry best practice" Many agencies tout "best practices" that align closely with Google's official guidelines. But best practices do not mean best results. Google best practices might be fine for cookie-cutter accounts, but it often leaves significant performance gains on the table. Best practices are a starting point, not the finish line. True competitive advantage comes from going beyond those defaults.
"We're happy with our current CPL/ROAS" If you're genuinely satisfied, that's great. But I always encourage advertisers to consider: could you get more volume at the same cost per lead? Could you lower your CPL while keeping volume stable? Do you have any control in influencing either of those outcomes, or did you hand off control to Google? Without deeper control and transparency, you may never know what your growth potential is. You may not be able to answer whether you're getting the right leads or conversions.
Automation as an aid, not a crutch
I've worked in paid search from a lot of different angles. I started at a small agency trying to make sense of paid search when it was still new, then spent time at a larger agency managing massive enterprise accounts, and now I run SEMOptimize, where we handle high-growth campaigns for businesses determined to grow and control their own destiny. Automation isn't something I'm fundamentally against. In fact, I'd say we regularly use and even champion certain automated bidding strategies for clients. Our own tech stack includes proprietary and customizable tools and automation specific to building a great foundation for paid search success.
But we never forget that Google's endgame is to boost its own revenue and to appeal to the natural tendency of people to find an easier way rather than the best way. If you're not paying close attention, it's all too easy to overspend or remain complacent with suboptimal results. Performance Max, auto-apply suggestions, and other "set it and forget it" systems can inadvertently blindfold you to crucial details, like irrelevant search queries or the extent of brand traffic subsidizing inefficiencies.
That's why I urge advertisers who are serious about growth to keep a firm hand on the steering wheel. By all means, use the tools that Google has provided, but do so with vigilance and expert guidance. Create keyword detail, ad customization and meaningful campaign segmentation, then continuously refine with negative keywords and analyze performance beyond the surface-level metrics that Google showcases.
If you adopt this balanced approach, you'll harness the best of both worlds: the speed and scale of machine learning, plus the strategic oversight only an experienced human can provide. In a crowded and competitive paid search environment, that combination often makes the difference between merely "acceptable" results and genuine business growth.
Jared Schroder is available for speaking engagements, webinars, training, and guest blog posts on how to maximize your ROI in Google Ads and paid search.
SEMOptimize specializes in paid search for both B2B and B2C lead generation, helping companies maximize the long-term value of their ad spend. Business success isn't for everyone, that's why we've learned to be very selective of what clients we bring on to the SEMOptimize platform.
Contact us today for a free consultation and to see if SEMOptimize is the right partner for you.
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