87% of advertising budgets in eCommerce lose up to 30% efficiency due to automation errors and incorrect data: these conclusions are supported by recent reports from IAB Europe and Google. In 2025, google ads has transformed into a complex ecosystem where artificial intelligence, campaign automation, and budget optimization algorithms operate faster than humans can respond to their decisions. One might think that automation was supposed to solve the “budget waste” problem, but in practice, it often creates new challenges: from false signals to uncontrolled spending and ROI decline.
I’ve encountered situations where even experienced marketers lost control over Google Ads efficiency due to blind reliance on automated strategies. In real client cases—from pharmaceuticals to eCommerce—we witnessed how a single tracking or audience signals error led to thousands of untargeted clicks and a doubling of CAC.
If the answer isn’t clear, I recommend reading this article to the end. Here, I outline a Google Ads audit checklist that allows you to take control of efficiency, budget, and scaling for real business oversight. This is not just a set of recommendations, but a systematic approach proven in practice by BUSINESS SITE and adapted to the realities of Ukraine.
Google Ads Audit: Automation and AI 2025

Google Ads automation in 2025: it’s not just Smart Bidding or auto-strategies, but a full-fledged ecosystem where machine learning and artificial intelligence manage budget distribution, targeting, and even creatives. Performance Max algorithms, audience signals automation, dynamic bidding—all of this accelerates work but requires strict control.
From my experience, automation is a tool that strengthens the strong sides of an account but also scales errors. For instance, in one of our eCommerce projects, Smart Bidding automation optimized the campaign for micro-conversions (add to cart) rather than actual sales. As a result, ROAS fell by 40%, and the budget went to untargeted audiences. Such a scenario is typical for accounts where Google Ads automation audits are conducted irregularly or formally.
Automation errors manifest in three key areas:
- Optimizing for false signals (e.g., untargeted conversions or incorrectly labeled events).
- Data errors (incorrect integration of ga4, Merchant Center Next, UTM tags).
- Blindly following AI recommendations (algorithms can “lead” the budget into segments with low ROI).
Let’s move on to the audit checklist and key metrics that take Google Ads automation to a new level of control and efficiency.
Google Ads Audit: Checklist and Metrics

A Google Ads audit isn’t a one-time action but a systematic process built around business goals and regular efficiency checks. I believe that only such an approach allows for optimizing Google Ads and scaling results.
Stages of Google Ads Audit
- Setting business goals and KPIs (ROI, ROAS, CAC, LTV).
- Checking the correctness of tracking and data transfer.
- Analyzing account structure, campaigns, and automation.
- Evaluating the effectiveness of creatives and extensions.
- Auditing product feed and Merchant Center Next (for eCommerce).
- Segmentation and analysis of audience, negative keywords, keywords.
- Implementing a roadmap of changes and controlling impact on KPIs.
Google Ads Audit: Goals and Business Metrics
Clear links between campaign goals and business metrics form the basis of Google Ads optimization. I believe that without this, any automation loses its meaning.
Key KPIs for the audit:
- ROI (Return on Investment), the total return on investment.
- ROAS (Return on Ad Spend): the return on ad spending.
- CAC (Customer Acquisition Cost) – the cost of acquiring a customer.
- LTV (Lifetime Value) – the lifetime value of a customer.
GA4, Merchant Center, and Google Ads Tracking Audit
Correct data transmission: the foundation for decision-making. In 2025, integrating GA4, Merchant Center Next, UTM tags, and GCLID becomes a mandatory standard for eCommerce and service businesses.
I always start an audit by checking:
- Full access to all systems (Google Ads, GA4, Merchant Center Next).
- Correctness of event tracking (import conversions, eCommerce, micro/macro conversions).
- Consistency of UTM tags and GCLID for end-to-end analytics (especially when integrating with CRM, for example, through API with “PrivatBank” or “Monobank”).
- Synchronization of data between GA4 and Google Ads (especially for multi-touch attribution).
Audit of Performance Max and Google Ads Automation

Performance Max: the main driver of Google Ads automation in 2025. Its strength is its flexibility, but its weakness is the lack of transparency in AI operations. I believe that auditing Performance Max is a necessary step for any business that is scaling advertising.
What to Check:
- Alignment of campaign objectives with business KPIs.
- Correctness of audience signals: exclusion of untargeted segments, regular updating of Lookalike audiences.
- Analysis of Search term insights: identifying new opportunities and risks.
- Testing new formats and bidding strategies (Target CPA, Target ROAS, Maximize Conversion Value).
Performance Max Creative Audit
Creatives are a key lever affecting CTR and engagement rate in Performance Max. I believe that regular auditing of Google Ads creatives and analyzing asset reports help identify the best formats for each audience.
BUSINESS SITE Practice:
- Testing text, visual, and video assets.
- Using asset reports to select creatives with the highest CTR and engagement rate.
- Regular updates of creatives considering seasonality and promotions (e.g., custom labels for “Nova Poshta” or “Rozetka”).
Google Ads Audit: Segmentation and Metrics

Segmentation is a tool that reveals real growth points and “bottlenecks” in an account. I recommend analyzing Google Ads effectiveness by devices, regions, audiences, and ad types—it allows identifying segments that “consume” the budget without return.
Audit of Segmentation by Devices and Geo
LTV and CAC by Segments
High CAC doesn’t always mean inefficiency if the LTV for a segment is above average. In BUSINESS SITE’s eCommerce projects, we segment audiences by source, age, devices, and analyze their LTV and CAC. This approach reallocates budget to the most profitable segments and scales results.
Audit of Negative Keywords in Google Ads

Keywords and negative keywords: the foundation of Google Ads effectiveness. I believe that regular audits of Google Ads negative keywords and search queries allow for controlling traffic quality and reducing CPA.
Strategy:
- Using keyword match types (exact, phrase, broad) to manage relevance.
- Regularly updating negative keyword lists based on Search terms report results.
- Auditing segmentation of negative keywords to exclude untargeted queries by product or service categories.
Audit of Negative Keyword Changes
Audit of Google Ads Creatives and Ads
Creatives and extensions: it’s not just about CTR but also about engagement rate, brand recognition, and conversion. I recommend conducting a monthly audit of Google Ads creatives using asset reports and testing new formats.
What’s Important:
- Checking responsive search ads (RSA), videos, headlines, descriptions.
- Using extensions to increase ad space and boost CTR.
- Regular testing and updating of creatives considering seasonality and promotions.
Audit of Merchant Center Next Feed for Shopping
For eCommerce, product feed optimization is one of the primary drivers of Shopping campaigns’ efficiency growth in Google Ads. I believe that a Google Ads product feed audit should include:
- Checking product statuses (rejected, inactive, with low quality score).
- Optimizing titles, descriptions, images, and additional attributes.
- Using custom labels (seasonal, product) for segmentation and bid management.
- Auditing seasonal custom labels in Merchant Center for promotions and sales, particularly relevant for Ukrainian marketplaces like Prom.ua.
Google Ads Audit, Checklist, and Performance Evaluation
A systematic approach to Google Ads audit is impossible without regularity and a roadmap for changes. I recommend:
- Monthly express audits: checking key metrics, identifying automation errors, auditing creatives.
- Quarterly deep audits: analyzing account structure, bidding strategies, auditing Merchant Center Next, testing new tools.
- Developing a roadmap for changes: step-by-step implementation of adjustments, tracking impact on KPIs, managing seasonality, and adjusting bids.
In this way, only a comprehensive audit conducted on a regular basis helps minimize critical errors and ensure stable advertising efficiency growth. Next, we will examine common errors and ways to correct them.
Google Ads Audit Errors, How to Fix Them?
From my experience, most Google Ads efficiency issues are connected to typical audit errors:
- Blindly implementing automation and AI recommendations without considering business metrics.
- Incorrect audience signals and Lookalike audience setup.
- Tracking and data transmission errors between GA4, Merchant Center Next, and Google Ads.
- Wrong attribution (e.g., last click instead of data-driven).
- Insufficient auditing of negative keywords and creatives.
- Lack of control over automated rules and scripts.
What to Do After the Google Ads Audit?
After the audit, it’s essential not only to identify issues but also to prioritize them effectively. I use a high impact/low effort matrix to assess tasks and plan the roadmap implementation with clear deadlines and responsibilities.
Step-by-Step Approach:
- Prioritizing problems by their impact on KPIs and implementation complexity.
- Developing a roadmap for changes, divided into stages.
- Checking the impact of changes on KPIs: comparing periods, analyzing seasonality, and ensuring data quality control.
Google Ads Audit for Enhanced Efficiency
I believe that a Google Ads audit is not merely a technical check, but a strategic tool for controlling automation, optimizing budget, and increasing ROI. Only a systematic approach, regular audits, the use of checklists, and in-depth analysis of business metrics allow managing the effectiveness of Google advertising campaigns instead of being driven by algorithms. BUSINESS SITE data shows that this approach provides transparent, measurable, and sustainable results for businesses within the Ukrainian landscape.










