Google Ads management looks very different than it did even five years ago, and it looks almost nothing like it did when I started managing paid search 20 years ago. We used to spend significantly more time manually adjusting bids, building tightly controlled keyword lists, and managing campaigns at a very granular level. Today, Google wants automation and AI involved in almost every part of your campaign, from bidding and targeting to creative and optimization.
And here is something I probably would not have said a few years ago: some of it works really well. I have seen great results from automated bidding strategies, and I have even changed my mind about broad match keywords after years of avoiding them. Google’s technology has gotten better, but that does not mean I am ready to hand Google the keys and walk away.
The role of the person managing your Google Ads account is changing. We may not need to manually adjust every bid anymore, but someone still needs to make sure Google is optimizing toward the right goals, spending money in the right places, and ultimately generating business instead of simply making the numbers inside Google Ads look good.
Google Only Knows What You Tell It
Google’s automation is heavily dependent on the data you give it. If your conversion tracking is accurate and Google understands which actions are valuable, its automated systems have much better information to work with. If your tracking is wrong, Google can become incredibly efficient at optimizing toward the wrong thing.
For example, Google might see every form submission as a successful conversion. Your sales team may know that half of those forms are junk leads, job applicants, vendors, or people looking for a service you do not actually provide. Unless that information is being passed back to Google, the system may continue finding more people who behave exactly like those bad leads.
This is why conversion tracking and lead quality matter so much as Google Ads becomes more automated. Someone needs to understand what actually makes money for the business and make sure the advertising data reflects that. AI can only make decisions based on the information it has.
Automation Does Not Understand Your Business
Google does not sit in your sales meetings. It does not know that one service has significantly better margins, that another service is booked for the next three months, or that your sales team would rather receive 20 highly qualified leads than 100 mediocre ones. It also does not automatically know when your business priorities change.
That context matters when you’re managing paid advertising. A campaign can technically be performing well based on Google’s metrics while generating leads that are not particularly valuable to the company. Someone needs to connect what is happening inside the advertising account with what is happening inside the actual business.
The algorithm understands data. The human understands the business. That distinction is becoming more important as Google gives advertisers more automation options. The goal should not be to fight automation simply because we used to manage campaigns differently. The goal should be to use automation where it works while making sure a human is still providing the strategy behind it.
Someone Still Needs to Watch the Search Terms
I spent years telling clients that broad match keywords were something we generally wanted to avoid. Google kept pushing them, I kept being skeptical, and eventually I started testing them more seriously. The annoying part is that Google was at least partially right because broad match has gotten significantly better.
That does not mean I add broad match keywords and stop paying attention. When we test broad match, we regularly review the search terms Google is matching to those keywords. We add negative keywords, look for patterns, watch costs, and make sure Google is actually finding searches that make sense for the business.
Google has gotten much better at understanding search intent, but it is not perfect. A search can look incredibly relevant to an algorithm and still make absolutely no sense once you understand the business behind the campaign. That is exactly why someone still needs to be paying attention.
Google’s Recommendations Are Recommendations
If you manage Google Ads, you are very familiar with Google’s recommendations. Google regularly suggests bidding changes, new keywords, campaign settings, budget increases, and other adjustments that promise to improve your optimization score. Some of those recommendations are useful, but that does not mean every recommendation should automatically be applied.
An optimization score is not the same thing as business performance. Increasing a campaign’s score inside Google Ads does not necessarily mean the campaign will generate more qualified leads or more revenue. Every recommendation still needs to be evaluated based on the goals and performance of that particular account.
The job of a paid search manager is increasingly becoming knowing what to automate, what to test, what to ignore, and when to intervene. That requires experience and context that Google simply does not have.
Humans Should Be Testing the Automation
One of the things I like about Google Ads is the ability to test many of these changes instead of simply guessing whether they will work. We regularly use Google Ads experiments when testing bidding strategies such as Target CPA, and the same mindset should apply to other automation features. If Google says something will improve performance, give it an opportunity to prove it.
Testing also helps remove some of our own biases. I was skeptical of broad match because I had years of experience showing me exactly how expensive and messy it could be. The technology changed, we tested it, and the results gave me a reason to change my opinion.
That is how marketers should approach AI and automation in general. We should not blindly accept every new feature Google launches, but we also should not reject something simply because it is different from how we have always done things. Test it, watch the data, evaluate the actual lead quality, and make a decision based on the results.
Google Ads Managers Are Not Going Away
As Google Ads becomes more automated, I do not think the person managing the account becomes less important. I think their job becomes different. You need someone who understands how to give Google’s systems the right information and how to recognize when those systems are making decisions that do not align with the business.
That means spending less time making tiny manual bid adjustments and more time evaluating conversion data, lead quality, search terms, campaign structure, bidding strategies, budgets, and business goals. It also means communicating with the people actually receiving the leads instead of relying entirely on what the Google Ads dashboard says.
Google’s AI can process more data than any human could possibly analyze manually, and that is a good thing. Let it do what it does well. But the strategy, business context, quality control, and decision making still need a human behind them.
The Bottom Line
Google Ads automation is not something businesses should be afraid of. Used correctly, it can make campaigns more efficient, uncover opportunities, and allow advertisers to make decisions using far more data than we could ever process manually. After 20 years in paid search, I have changed my mind about more than one automated Google Ads feature because the results proved it worked.
But automation is a tool, not a replacement for strategy. Google does not know your margins, your sales team, your customers, your growth goals, or which leads make everyone groan when they come through the inbox. A human still needs to connect the advertising data to what is actually happening inside the business.
AI can manage a lot of your Google Ads campaign. It still should not be the one in charge of it.
Not sure if you’re using Google Ads automation or if Google Ads automation is using you? Chat with us about your Google Ads strategy. We’ll look at what’s automated, what’s working, and where a human probably needs to step back in.
