Most PPC accounts are leaking money and not because the strategy is completely broken, but because the guardrails are missing.

Platforms like Google and Meta are getting smarter which means automation is improving, but there is still one major problem: If you feed these systems bad signals or give them too much control, they will spend your budget fast and often on the wrong things.

This conversation with Dane Saville and SearchLab PPC Team Lead Susan Yen gets into what is actually happening inside your accounts and what you need to do about it.

The Shift From Keyword Targeting to Signal Targeting

PPC used to be a game of precision full of tight match types, careful keyword sculpting, maximum control. That world is largely shifting. 

Platforms today run on signals like audience behavior, intent patterns, conversion data, and engagement. These are what determine how and where your ads get served. Keywords still matter, but they're no longer calling the shots.

This shift cuts both ways. When your signals are clean and deliberate, the algorithm works with you to find more of the right people at scale. Unfortunately, if you feed it messy or overly broad data, it optimizes for volume instead of quality. It chases clicks that don't convert and audiences that don't care.

Why Auto-Applied Recommendations Are a Budget Trap

Auto-applied recommendations sound helpful on the surface. The platform scans your account and suggests optimizations. In some cases, it even applies them automatically.

The problem is that these recommendations are designed to increase activity, not necessarily improve outcomes.

These are suggestions and should be taken as such. You know your business and brand better than any ad platform does. 

When you allow auto-apply to run unchecked, you lose control over:

• Who sees your ads
• When your ads show
• What your ads say
• How your budget is spent

That is how a budget can be wasted very quickly. 

The Broad Match Problem

Broad match is one of the biggest offenders.

When auto-apply switches keywords to broad match, it opens the floodgates. Your ads start showing for a much wider range of queries, many of which have nothing to do with what you're selling. More traffic sounds good until you realize it's coming with lower lead quality, higher cost per acquisition, and spend bleeding into searches that will never convert.

Broad match can work, but only when it's tightly controlled with strong negatives and clear conversion signals. Without those guardrails, it's just a faster way to burn through budget.

Auto-Generated Ads That Miss the Mark

Platforms can generate headlines and descriptions for you. That sounds efficient, but it often results in messaging that doesn't align with your brand.

Different industries speak differently, and different campaigns serve different goals. Ad copy created without that context risks confusing users, misrepresenting your business, and pulling in exactly the wrong audience.

Actively reviewing the account is crucial and can also hold your vendor or agency accountable. 

Where Budget Gets Lost Fast

Auto-applied recommendations affect not only targeting and messaging but also the overall experience. They also impact how your budget is allocated, which can easily lead to spending on the wrong audience. 

Some of the most common budget drains include:

Automated Bid Changes

The platform may automatically adjust your bidding strategy or targets.

That includes:

• Increasing your target CPA
• Shifting to a different bidding model
• Expanding spend based on perceived opportunity

If those changes are made without context, your cost structure can shift overnight.

Budget Increases

Seeing a "limited by budget" recommendation does not automatically mean you should spend more. Again, these are recommended changes based on the ad platform. Increasing the budget without understanding what is actually driving performance just amplifies the problem, not the results.

One-Size-Fits-All Optimization

Not every campaign has the same goal; it is important to understand your goals and the kind of campaign you need to build around them. 

Some campaigns are built for:

• Lead generation
• Brand visibility
• Traffic growth

Applying the same automated recommendations across all campaigns ignores those differences. That is how accounts lose alignment and start producing inconsistent results.

The Role of Guardrails in Modern PPC

The goal is not to turn everything off. The goal is to decide what the system is allowed to do. 

Treat automation as a tool, not a strategy. You wouldn't use certain tools without the proper training or safety equipment. This is the same concept, except in case your budget is what we are trying to protect. 

Start With a Clean Account

Before you scale anything, clean up your foundation.

That means:

• Reviewing auto-apply settings
• Turning off anything that does not align with your goals
• Locking down match types and keyword intent

If the foundation is messy, automation will only make it worse.

Be Selective With What You Allow

Not every auto-applied recommendation is worth ignoring. Removing duplicate keywords or cleaning up close variants are low-risk, operational fixes that rarely cause harm. Everything else deserves a careful look before you let the platform decide for you.

Build Strong Signal Inputs

Automation is only as good as the data behind it. If you want the platform working in your favor, you need accurate conversion tracking, clear definitions of what a qualified lead actually looks like, and a consistent campaign structure. The system optimizes based on what you feed it. Better, clearer inputs lead to better, clearer outputs.

What This Looks Like in Meta

Meta operates differently, but the same principles apply.

The platform is built to maximize engagement. It will push your ads into as many placements as possible unless you control it. 

Not every placement makes sense for every campaign.

If you allow all placements by default, you risk showing ads in environments where they do not perform well or do not match user intent. You want to show up where your customers are. You know your demographic a lot better than Meta does. 

TL;DR: Meta likes to spend your money, and fast. 

The Real Strategy: Audit, Decide, Adjust

The principle at the core of all this is simple but easy to overlook. Staying involved does not mean micromanaging every detail. It means auditing your account regularly, understanding what changes are being made, and making deliberate decisions based on real performance data. Automation can support that process. It cannot replace it.

Key Takeaways

• Auto-applied recommendations are suggestions, not a strategy
• Broad match without guardrails is one of the fastest ways to waste budget
• Automated ad copy often lacks the context needed to perform well
• Bid and budget changes should never be accepted without review
• Not all campaigns should be optimized the same way
• Strong inputs like clean data and clear goals lead to better outcomes
• Regular audits are essential to maintaining control and performance

Final Thoughts

PPC platforms are built to drive activity. Your job is to make sure that activity is relevant to your business.

That requires control, clarity, and a willingness to question what the platform tells you to do. The accounts that perform best are not fully manual or fully automated. They sit somewhere in the middle, where smart guardrails guide the machine rather than hand it the keys.

If your campaigns feel unpredictable or lead quality is slipping, there is a good chance automation is running unchecked somewhere in the background.