
A Google Ads audit designed to expose wasted spend and broken signals
Most Google Ads accounts don't underperform because of bad ads - they underperform because they send mixed signals to the algorithm.
Managing Google Ads starts with understanding what's actually broken

Scaling Google Ads without a proper audit is like adding fuel to an engine with faulty sensors. You might see some movements, but you won't get efficiency - and over time, performance degrades significantly, leaving you in a bad spot.
Modern Google Ads relies heavily on automation. Smart Bidding, Performance Max and broad match can work extremely well - but only when the account structure, conversion signals and intent alignment are all clean.
Our Google Ads audits are built to answer one core question:
"Is Google optimizing toward real business outcomes?"
Before we optimize or scale anything, we identify:
- Where signals are diluted
- Where intent mismatches occur
- Where budget is wasted before learning can happen
What can we do?

Query analysis
We analyze search terms, match types, and query intent to determine whether your ads are showing for users who are actually capable of converting - not just clicking.
Practical example:
If high-volume informational queries trigger conversion-optimized campaigns, Smart Bidding learns from low-quality traffic - suppressing bids where real buyers exist.

Campaign setup
We audit how campaigns, ad groups, and campaign types are structured - and whether they allow Google to learn efficiently. Usually learning is too fragmented across campaigns.
Practical example:
Splitting similar keywords across multiple campaigns often resets learning (making it too fragmented) and increases CPA - even when your spend stays flat.

Budget diagnostics
We evaluate whether your budget distribution supports learning or restricts it. This includes daily budget vs bid strategy alignment and bidding strategy fit (CPA vs ROAS).
Practical example:
A campaign that is capped by budget can never fully exit the learning phase - no matter how good the ads are, how good the initial setup was and how good the management is.
Conversion integrity & quality
We define conversions the way operators do - not platforms. That means identifying which actions predict revenue, which are leading indicators vs vanity metrics and which events should not influence bidding.
Practical example:
Google's automation expands most aggressively when conversion signals are clear - especially in cross-channel campaign types like Performance Max.


Optimization & reporting behavior
We audit how performance is reviewed and adjusted. This includes what changed are made, how often they are made and based on which signals. True optimization is always iterative and intentional, not reactive.
Practical example:
Instead of reporting on CTR or impressions alone, we track how query changes, bid shifts or asset updates conversion behavior and efficiency over time.
Let’s find the perfect ad strategy for you.
We’ll explore your current setup and help you scale your business.
Schedule Call
Why run a Google Ads audit before scaling?
Scaling doesn't fix inefficiency - it amplifies it. Google Ads can absolutely become a compounding growth channel, but only when the account is engineered for learning.
If intent, structure, or conversion signals are misaligned, increasing spend simply teaches the algorithm the wrong lessons faster. Our audit prevents you from scaling noise.
Intent must be clean before you can scale
Search ads don't create demand - they capture it. That's why intent quality matters more than volume.
Before scaling, we audit:
- Which queries actually drive qualified actions
- If landing pages truly align with search context
- Whether match types and negatives protect intent
Practical insight:
If informational or exploratory queries trigger conversion campaigns, Smart Bidding optimizes toward low-intent traffic - suppressing bids for real buyers once budgets increase.

Cross-inventory scaling depends on signal quality
Campaign types like PMax expand reach across Search, Display, YouTube and Discovery - but they rely on goal signals.
During an audit, we assess:
- How asset and query signals influence expansion
- If channel overlap creates competition instead of lift
- Whether goals are shared or conflicting across campaigns
Practical insight:
Performance Max scales efficiently only when conversion signals are precise - otherwise it expands reach without actually improving outcomes, which we want to avoid.

Feedback loops determine learning speed
Google Ads learns through repetition and feedback. If the account can't clearly "see" what works, learning stops.
We audit:
- How search terms map to conversions
- Whether changes can be traced to outcomes
- If optimization decisions are data-driven or reactive
Practical insight:
Accounts with clear feedback loops exit learning phases faster and stabilize CPAs sooner when budgets increase. Without a feedback loop, there is no real optimization.

ROI must be measurable before spend increases
Scaling ad campaigns and increasing budgets only makes sense when conversion data reflects realbusiness value.
We evaluate:
- How bidding strategies interpret success
- Which conversions predict revenue or pipeline
- Whether primary goals are inflated by secondary actions
Practical insight:
When conversion tracking is disciplined, Google optimizes toward qualified leads or purchases - not surface-level engagement that inflates volume but erodes ROI.

Let’s find the perfect ad strategy for you.
We’ll explore your current setup and help you scale your business.
Schedule Call
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Frequently asked questions
A proper Google Ads audit often reveals structural and signal-level problems that don't show up in surface metrics. These include mixed conversion goals, overly broad match usage without intent control, wasted spend from loq-quality search terms, poor campaigns segmentation, and misaligned bidding strategies. Many accounts appear "stable" on the outside, but are actually optimizing toward the wrong outcomes.
Yes, definitely. Poor or misaligned conversion tracking is one of the most common reasons accounts fail to scale. When Google receives noisy or inflated signals (duplicate conversions, low-value events, micro-actions), Smart Bidding learns incorrectly. An audit identifies which events should drive bidding and which should be excluded so scaling improves efficiency instead of amplyfing waste.
Warning signs include rising CPAs when budget increases, unstable performance across weeks, PMax consuming spend without clear attribution, or strong traffic with weak pipeline quality. A Google Ads audit evaluates whether structure, signals and query quality can support higher speed without breaking efficiency.
Yes! Profitable accounts often still contain hidden inefficiencies - wasted queries, misallocated budgets, or automation learning from weak signals. An audit focuses on scalability, not just current performance, ensuring future growth doesn't break margins or distort lead quality.




