You're spending money on Google Ads. Traffic is coming in. Maybe you're even seeing some conversions. But here's the uncomfortable question most business owners avoid: how much of your ad budget is being wasted right now?
The answer, in our experience auditing hundreds of accounts, is almost always "more than you'd expect." We regularly find that 15-30% of Google Ads spend is going to irrelevant search terms, duplicate conversions are inflating ROAS numbers, and bidding strategies are working against campaign goals rather than towards them.
A professional Google Ads audit cuts through the noise and shows you exactly where every rand is going — and more importantly, where it should be going.
A Google Ads audit is a forensic, data-driven examination of every element in your advertising account that affects performance. It goes far beyond what Google's automated recommendations suggest (which often prioritise Google's revenue over yours).
At Poptag, we've developed our audit methodology over 30 years of digital marketing experience, now enhanced with AI-powered analysis that processes thousands of data points at a depth that manual review simply cannot achieve. The combination delivers insights that are both technically precise and strategically actionable.
Why it's first: If your tracking is wrong, every decision you make based on that data is wrong too. This is the foundation of everything.
What we examine: We check every conversion action in your account — primary vs secondary classification, duplicate detection (a surprisingly common issue where both a Google Tag and GA4 are counting the same purchase), enhanced conversions setup, Consent Mode V2 compliance, attribution models, and conversion lag patterns.
What we typically find: Over 60% of accounts we audit have at least one significant tracking issue. The most common? Duplicate primary conversions that make your ROAS look twice as good as it actually is. We've seen accounts where "400% ROAS" was actually 200% once the double-counting was fixed — still good, but a very different picture for budget decisions.
The impact of fixing it: Accurate data means accurate decisions. You'll know your real CPA, your real ROAS, and can allocate budget based on reality rather than inflated numbers.
What we examine: Campaign architecture, naming conventions, ad group organisation, geographic targeting, language settings, network settings (Search Partners and Display Network expansion are often left on by default), brand vs non-brand segmentation, and schedule/device adjustments.
What we typically find: Campaigns targeting countries you don't sell to. Search campaigns accidentally opted into the Display Network. No separation between brand and non-brand terms — making it impossible to know whether your growth is coming from new customers or people who were already searching for your brand name.
The impact of fixing it: A clean, logical structure makes optimisation possible. You can see what's working, allocate budget to winners, and cut waste with surgical precision.
What we examine: Whether each campaign's bidding strategy matches its actual goal, target CPA/ROAS thresholds, learning period stability, manual vs automated bidding opportunities, portfolio strategies, and bid modifier layering.
What we typically find: Campaigns stuck in learning mode because targets are unrealistic. Maximize Clicks running on campaigns that should be optimising for conversions. Target ROAS set based on historical averages rather than marginal efficiency. Bid adjustments that conflict with automated bidding.
The impact of fixing it: The right bidding strategy for each campaign's maturity and goal can improve conversion volume by 20-40% at the same budget — or deliver the same results for significantly less spend.
What we examine: Match type distribution, 90-day search term relevance analysis, negative keyword coverage and gaps, wasted spend on irrelevant queries, keyword cannibalisation between ad groups and campaigns, Quality Score distribution, long-tail opportunities, and competitor keyword overlap.
What we typically find: This is usually where the biggest waste lives. Broad match keywords triggering completely irrelevant searches. Missing negative keywords that have been wasting budget for months. Multiple campaigns bidding against each other for the same terms. High-intent long-tail keywords that nobody's targeting.
The impact of fixing it: Immediate budget savings from eliminating irrelevant spend. Better Quality Scores (meaning lower CPCs). New keyword opportunities that drive incremental conversions. We typically identify 5-15% budget savings from search term cleanup alone.
What we examine: Responsive Search Ad asset quality and pinning strategy, ad strength scores, copy relevance to keywords and landing pages, call-to-action effectiveness, sitelinks, callouts, structured snippets, image extensions, and testing methodology.
What we typically find: RSAs with "Poor" or "Average" ad strength running unchallenged. Headlines that don't include the keywords being targeted. Missing extensions that competitors are using. No systematic ad testing happening — just set-and-forget campaigns.
The impact of fixing it: Better ad relevance improves Quality Scores (lower CPCs), higher click-through rates mean more traffic at the same budget, and better message matching improves conversion rates after the click.
What we examine: Product feed quality and disapproval rates, feed attribute completeness (titles, descriptions, GTINs, images), product segmentation strategy, PMax asset group structure, channel distribution (how much is going to Shopping vs Search vs Display vs YouTube), search term visibility, and Standard Shopping vs PMax cannibalisation.
What we typically find: Product titles that don't include search terms customers actually use. Missing GTINs causing lower visibility. PMax campaigns where 70% of spend goes to Display and YouTube placements that aren't converting. No product tiering — meaning best-sellers get the same bid as products that never sell.
The impact of fixing it: Better product visibility in Shopping results. More efficient PMax spend directed towards converting channels. Higher ROAS from prioritising your best-performing products.
What we examine: Budget-to-performance mapping across every campaign, "Limited by Budget" vs "Limited by Bid" analysis, diminishing returns identification, wasted spend quantification, marginal CPA/ROAS modelling for reallocation, day-of-week and hour-of-day patterns, and budget pacing.
What we typically find: High-performing campaigns that are budget-limited while poor performers run uncapped. Budget allocated evenly across campaigns regardless of performance. No dayparting despite clear patterns showing certain hours convert at 3x the rate of others.
The impact of fixing it: Moving budget from diminishing-returns campaigns to budget-limited winners is often the single highest-impact change we recommend. It's not uncommon to see a 15-25% improvement in overall account ROAS just from reallocation.
What we examine: Audience list health and segmentation, remarketing strategy, customer match list utilisation, in-market and affinity audience layering, lookalike audience opportunities, audience exclusions (are you paying to show ads to existing customers?), and first-party data integration.
What we typically find: No remarketing lists set up, or lists that haven't been updated in months. Existing customers not excluded from acquisition campaigns. No customer match lists uploaded despite having email databases. In-market audiences not being used for bid adjustments.
The impact of fixing it: Remarketing typically converts at 2-5x the rate of cold traffic. Excluding existing customers from acquisition campaigns eliminates wasted spend. Audience layering gives you signals to bid more aggressively on high-intent users.
What we examine: Ad-to-landing-page message consistency, landing page load speed and mobile experience, conversion action clarity, Quality Score landing page experience component, post-click user journey, and A/B testing opportunities.
What we typically find: Ads promising specific products or offers that land on generic homepages. Mobile landing pages that take 5+ seconds to load. Unclear or buried calls-to-action. No testing of landing page variants despite significant ad spend.
The impact of fixing it: Landing page experience directly affects your Quality Score (and therefore your CPC). Better message matching between ad and landing page can improve conversion rates by 20-50%. Faster pages retain more visitors.
What we examine: Auction Insights data (impression share, overlap rate, position above rate), competitor ad copy and positioning, search impression share opportunities, competitive keyword gaps (terms they bid on that you don't), and industry CPC and conversion rate benchmarks.
What we typically find: Competitors winning auction share through better ad rank (not necessarily higher bids). Keyword opportunities where competitors are present and you're not. Impression share being lost to budget constraints on your best-performing terms.
The impact of fixing it: A clear picture of your competitive position helps you make strategic decisions about where to compete aggressively and where to differentiate. Closing keyword gaps captures demand you're currently losing.
What makes our Google Ads audit different from a generic account review?
Our AI analyses thousands of data points across your account — every search term, every bid adjustment, every conversion path, every competitive benchmark — at a speed and depth that would take a human analyst weeks to replicate. It identifies patterns, anomalies, and opportunities that manual review consistently misses.
Our human expertise — built over 30 years of managing digital advertising campaigns — then interprets those findings through the lens of real-world business strategy. We understand that a "technically correct" recommendation isn't always the right one for your specific business, your competitive landscape, and your growth stage.
The result is an audit that's implemented with precision: every recommendation is specific, data-backed, and ordered by the return it will deliver. No generic Google Ads tips. No copy-paste checklists. Every audit is as unique as the account it examines.
Every day your Google Ads account runs with hidden inefficiencies is a day you're paying more than you should for results that could be better. A professional audit isn't a cost — it's the investment that makes every future ad rand work harder.
Or contact us to discuss your account's specific challenges. We'll tell you honestly whether an audit is the right next step for your business.