More than half of the 1,500+ accounts we audited had not negativised their search terms in the past 30 days. Not once. That is not the most expensive mistake on this list, but it is the most common, and it is a reliable indicator that the rest of the account has not been touched either.
These 14 mistakes are not theoretical. They are patterns we documented across accounts in every vertical, every budget level, and every market. The same errors keep appearing regardless of who set the account up, what industry the business is in, or how long the campaigns have been running. Some cost 10% of budget. Others corrupt the entire account. All of them are fixable.
Tracking and measurement
Mistake 1: All conversions set as primary
Google sets everything as primary by default. When you create a new Google Ads account and connect it to Google Analytics or install conversion tags, every action gets marked as a primary conversion: form fills, phone calls, email clicks, page views, PDF downloads, scroll depth events. All of them.
The problem is that Smart Bidding treats every primary conversion as equally valuable. The algorithm sees a click on your email address as equivalent to a submitted lead form. It optimises for volume of primary conversion signals, not for business value, so it will happily spend budget driving email link clicks if that is what is easiest to generate.
The cost is roughly a 20 to 40% efficiency loss on any campaign using Smart Bidding. The algorithm believes it is performing better than it actually is, because the numbers look good while the business outcomes are not there.
The fix: go through every conversion action in your account and mark only revenue-generating actions as primary. Lead forms, phone calls over 60 seconds, and purchases should be primary. Everything else, newsletter signups, page view milestones, email address clicks, should be set to secondary or observation only. This change alone frequently produces an immediate improvement in lead quality.
Mistake 2: Auto-apply recommendations enabled
Google’s recommendations tab suggests changes based on account data, industry benchmarks, and their own business interests. If auto-apply is switched on, Google makes those changes without asking you first.
Common auto-applies we found active in audited accounts: switching bid strategies from manual CPC to Maximise Clicks mid-flight, adding broad match versions of every keyword in the account, and generating new RSA headlines by scraping the website for keyword-adjacent phrases that do not match the account’s actual messaging or offer. These changes happen silently. The account looks the same in the interface but behaves differently.
The cost is roughly 15 to 30% of budget misallocated because campaigns or keywords were changed in ways that made sense to Google’s recommendation engine but not to the business. In some accounts we found multiple auto-applies stacked on top of each other over 12+ months, each one degrading account structure a little further.
The fix is simple: go to Tools, then Recommendations, then Auto-apply, and turn off every toggle. Go through the recommendations tab manually each month. Apply the ones that make sense. Ignore the ones that do not.
Keyword and search term management
Mistake 3: Not negativising search terms (this was the most common single finding across all 1,500+ audits)
Weekly search term review is the minimum maintenance a Search campaign needs. Without it, match type bleed compounds over time. Phrase and broad match keywords match to progressively worse queries as the algorithm explores the edges of the match type. What starts as a tight phrase match keyword gradually generates traffic from loosely related searches, then from tangentially related searches, then from searches that have almost no connection to the original intent.
Why it happens: the account was set up, campaigns were launched, and nobody scheduled time for weekly maintenance. A campaign that looks like it is running fine in the dashboard, impressions up, clicks coming in, can be spending a significant portion of its budget on queries that will never convert.
The cost is approximately 15 to 30% of Search campaign budget going to queries with no conversion potential. In some accounts we audited, the figure was higher because the account had been running untouched for 12 to 18 months.
The fix: pull the search terms report weekly. Filter by spend with zero conversions over the past 30 days. Add any clearly off-topic queries to the negative keyword list, either at campaign level or account level depending on how broadly you want to block them. This is not glamorous work, but it is the most reliable lever for improving efficiency in a live campaign.
Mistake 4: Broad match without prior conversion data
Broad match in 2026 works, but only when the algorithm has enough conversion history to understand who actually buys from you. Google’s broad match matching has improved significantly, and it can find genuinely useful queries that exact and phrase match would miss. The catch is that it relies entirely on conversion signals to know what “useful” means for your account.
Running broad match on a new campaign, or in an account with fewer than 30 to 50 conversions per month, means the algorithm has no signal to anchor on. It interprets broad match queries based on general semantic similarity to the keyword, not based on what has historically converted. The result is a wide spread of traffic with poor intent alignment, and a learning phase that takes far longer than it should.
The cost is approximately 30 to 50% of broad match spend going to irrelevant queries before the algorithm stabilises, if it stabilises at all. In accounts without enough conversion volume, broad match never fully stabilises.
The fix: start new campaigns with exact and phrase match. Add broad match keywords to individual campaigns only after that campaign has 30 or more conversions and a stable CPA or ROAS target. Never run broad match as the only match type in an ad group. Always pair it with a tightly maintained negative keyword list.
Campaign structure and strategy
Mistake 5: Brand keyword errors, in both directions
There are two opposite mistakes with brand keywords, and both are expensive. The first is paying for your own brand keyword when no competitor is bidding on it. If a user types your business name into Google and you have a strong organic result in position one, they will click your organic listing. You do not need to pay for that click. Self-bidding with no competitive threat is approximately 100% waste on those terms.
The second mistake is failing to protect your brand when a competitor is actively bidding on your terms. Branded search campaigns typically convert at two to four times the rate of generic campaigns because the searcher already knows who you are. If a competitor shows up when someone searches your name and you do not, you are handing them high-intent traffic at their cost per click.
The fix: check the Auction Insights report for your brand terms every month. If competitors appear there consistently, launch a brand protection campaign with tight exact match and phrase match. If they do not appear, pause the brand campaign and set a reminder to check monthly. The answer changes as competitive dynamics shift.
Mistake 6: Performance Max for lead generation businesses
Performance Max works well for e-commerce with a strong product feed, clear ROAS signals, and high conversion volume. For lead generation businesses, which includes most service businesses, B2B companies, trades, legal, finance, and professional services, it consistently underperforms.
The reason is structural. PMax allocates budget across Search, Shopping, Display, YouTube, Gmail, and Discover based on where it can generate conversions most efficiently. In e-commerce, those conversions are purchases and the signal is clean. In lead gen, the conversions are form fills and phone calls, and the algorithm frequently finds that Display and YouTube generate the highest volume of those at the lowest cost. The problem is that a lead generated via a Display banner is not the same quality as a lead from a high-intent Search query.
The cost: approximately 40 to 60% of PMax budget going to non-converting channels. Search impression share often drops as PMax cannibalises the budget that was previously funding Search campaigns. Lead volume looks fine on the dashboard; lead quality deteriorates.
The fix for lead gen: run Standard Search as your primary campaign. If you want top-of-funnel reach, build a separate YouTube or Demand Gen campaign with its own dedicated budget so you can see exactly what it produces. See the full breakdown in the Performance Max guide for Australian businesses.
Mistake 7: Only bottom-of-funnel campaigns
Every campaign is Search. Every keyword is high-intent. Every ad points to a contact page. There is nothing for the potential customer who has heard of you but has not yet decided they need what you offer, and nothing to build awareness with the larger pool of people who fit your customer profile but are not actively searching today.
This approach works in the short term. It captures existing demand efficiently. But it creates a ceiling, because the pool of people actively searching for your specific solution at any given moment is fixed. You are competing with every other advertiser in the auction for the same limited traffic, bidding CPCs up over time while your audience stays the same size.
The fix: once your Search campaigns are profitable and stable, allocate 10 to 20% of your total budget to one YouTube or Demand Gen campaign. Measure assisted conversions and view-through conversions, not just last-click. This is the model behind the Foto Ruano Black Friday result that generated a x49 ROAS and over $200,000 AUD in revenue from $4,000 in spend. The campaign worked because the brand had already reached those users earlier in the funnel. The Search campaign closed deals that the upper-funnel activity had set up.
Mistake 8: Never testing bid strategies
Most accounts use the same bid strategy for months or years. Target CPA from day one, never revisited. Or Maximise Conversions because it was the default when the campaign was created. The assumption is that whatever worked at setup is still the right strategy for the account as it exists today.
Bid strategy performance changes as an account matures. An account that started on Maximise Conversions may perform substantially better on Target ROAS 18 months later when it has 500 or more conversions in history. An account that started on Target CPA with a conservative target may be leaving volume on the table because it has never tested a slightly more aggressive target or a different strategy.
The fix: run a bid strategy experiment using the Experiments tab in Google Ads every six to twelve months. Run the challenger bid strategy against the incumbent with a 50/50 traffic split for at least four weeks, ideally six. Use the experiment results to make a data-driven decision rather than assuming the current setup is optimal.
Mistake 9: Location targeting set too wide, wrong setting
There are two errors here that often appear together. The first is setting a geographic radius far larger than the business can realistically serve. The second, and less obvious one, is leaving the location targeting setting on “Presence and interest” instead of “Presence: people in or regularly in your targeted location.”
“Presence and interest” includes people who have recently shown interest in your target location, even if they are physically elsewhere. A Sydney plumber paying for clicks from people in Melbourne who searched “Sydney plumber” once last week is a real and frequently documented scenario. They are never going to hire that plumber. The clicks register, the budget depletes, and the campaign looks like it is underperforming.
The cost is approximately 10 to 30% of budget going to out-of-area traffic that cannot convert, depending on how geographically specific the business’s service is.
The fix: in Campaign Settings, go to Locations, then Location options, and change the setting to “Presence: people in or regularly in your targeted location.” Then open the geographic performance report and look at where your clicks and spend are actually coming from. Add any consistently non-converting regions or cities as location exclusions.
Creative and assets
Mistake 10: One ad per ad group, no creative testing
One Responsive Search Ad per ad group means zero data on which messages, angles, or offers actually drive clicks and conversions. The algorithm has nothing to rotate or optimise between. You are running on a single assumption about what the audience responds to, and you will never know if that assumption is correct.
This is one of the quickest improvements to make and one of the most consistently neglected.
The fix: run three to four RSA variants per ad group with meaningfully different angles. Do not just change one word between variants. Test genuinely different approaches: a price-led message versus an outcome-led message versus a social proof message versus urgency. Pin headline 1 to your primary keyword for relevance. After four to six weeks, check impression share and conversion rate by ad. Pause underperformers and iterate on what works.
Mistake 11: Missing logo and business name at account level (this still surprises us after 1,500+ audits)
Large, established businesses, companies with real revenue, genuine brand recognition, and years of trading history, running Google Ads with no logo and no business name registered at account level. The ads appear in the SERP looking entirely anonymous. No visual brand signal, no business name below the headline, nothing to differentiate the ad from a generic result.
Why it happens: account assets are configured once during setup, often partially, and nobody revisits them. The logo sits in the brand guidelines folder. The account keeps spending.
The cost is a direct CTR impact and brand credibility loss. Google’s own data shows that ads with properly configured brand assets generate higher engagement. Users are more likely to click on an ad that identifies its source clearly. It takes approximately five minutes to fix.
The fix: go to Assets in the left navigation, then Images, and upload your logo. Then go to account settings and register your business name under the Business name field. Check that both appear in your existing campaigns. Do this today.
Mistake 12: Using native Google lead forms instead of website forms
Google’s lead form assets allow users to submit their contact details without leaving the search results page. The form pre-fills with their Google account information, making submission fast and frictionless. It sounds like a conversion rate improvement. In practice, for most service businesses, it is a lead quality problem.
The friction that makes native lead forms quick to complete is the same friction that qualifies a genuine lead. Someone who submits a name and email address in two taps without ever seeing your website, your pricing, your process, or your credentials is not a qualified prospect. They are a curiosity click that has become a contact record. The follow-up conversion rate on native lead form submissions is typically far lower than on website form submissions.
The fix: send traffic to a landing page you control, with a form you have built, and conversion tracking you have configured. You get full visibility into what happens after the click, better lead quality because the visitor has absorbed some information before submitting, and the ability to ask qualifying questions before the form is complete.
Landing page and funnel
Mistake 13: Running ads to a slow or broken landing page
A page that takes more than three seconds to load on mobile will lose more than half its visitors before they have even read the headline. The ad was clicked, the CPC was paid, and the user bounced. A broken form, a missing call to action, or a generic homepage that has no connection to the ad’s message compounds the problem at every stage of the funnel.
The cascade is expensive. High bounce rates from slow pages reduce Quality Score. Lower Quality Score raises future CPCs. You pay more per click for traffic that converts less, and the gap widens over time.
The fix: run a conversion tracking audit before launching any campaign, and check PageSpeed Insights for mobile scores before spending a dollar. Your landing page should load in under 2.5 seconds on mobile, match the ad’s message and offer exactly, and have one clear next action above the fold. Message match between ad and landing page is one of the most reliable levers for improving conversion rate without changing bids or budgets.
It is also worth checking how much budget you should realistically allocate before launching. A slow site with poor UX will waste any budget, regardless of how well the campaigns are structured.
Mistake 14: E-commerce running one campaign with the full product feed
A Shopping or Performance Max campaign that contains every product in the catalogue treats an $8 product the same as an $800 product. It treats high-margin SKUs identically to clearance lines, and current bestsellers the same as products that have not moved in six months.
The algorithm allocates budget based on click probability and conversion likelihood as it understands them. It does not know your margins. It does not know which products you have stock of, which you are trying to clear, and which represent the core of your business. Left to manage a single campaign with a full feed, it will find the path of least resistance to conversions, which is usually low-price, high-volume items, not the high-margin products that actually drive profitability.
The fix: segment your product feed by performance. Create separate campaigns for top performers with aggressive bidding, mid-tier products with standard bidding, and underperformers with minimal spend or paused status. Review the segmentation monthly and reassign products as performance shifts. Scripts can automate much of this categorisation based on ROAS, conversion rate, and revenue per impression. The goal is to make sure your highest-margin and highest-priority products get the budget and bid attention they deserve.
Frequently asked questions about Google Ads mistakes
How much budget is wasted on average in a typical Google Ads account?
Based on our audits, most accounts with no active management in the past 30 days are wasting between 25% and 40% of their spend. The biggest drivers are incorrect conversion tracking, which corrupts Smart Bidding signals, unmaintained negative keyword lists, and misaligned bid strategies. Accounts with consistent weekly hygiene and correct conversion setup can reduce wasted spend to under 10%. The gap between an actively managed account and an unmanaged one compounds quickly.
Is it worth fixing these mistakes in an existing account or starting fresh?
Almost always worth fixing in the existing account. Historical data, including conversion history, audience signals, and Quality Score, takes months to rebuild from scratch. Pausing and relaunching an account loses all of that accumulated learning. Fix the structure, update the tracking, and tighten the targeting. Starting fresh is only justified when the account history is deeply corrupted, for example, if the wrong conversion actions have been recorded as primary for 12 or more months with no realistic way to separate clean data from bad.
Which mistake has the biggest single impact on results?
Conversion tracking configured incorrectly. Smart Bidding is only as good as the signal it receives. An account where email address clicks and PDF downloads are marked as primary conversions alongside lead forms will optimise for volume of micro-interactions, not for actual business outcomes. Every other mistake on this list is a problem. Incorrect conversion tracking is the problem that makes every other problem harder to diagnose and fix, because the data you are using to evaluate performance is wrong.
Should I trust Google’s recommendations in the account?
Review them manually every time. Some recommendations are legitimate: adding missing sitelink assets, updating RSAs with low ad strength, fixing disapproved ads. Many are not: expanding to broad match before the account has sufficient conversion data, raising target CPA targets without a business reason, or enabling auto-apply. The recommendations that serve Google’s interests, increasing spend, expanding match types, enabling automation, are not always the same as the recommendations that serve your business interests. Never turn on auto-apply. Never accept a recommendation without checking whether it aligns with your actual account goals.
How often should a Google Ads account be actively managed?
At minimum: weekly search term reviews, weekly budget pacing checks, and bi-weekly bid strategy reviews. For accounts spending over $5,000 AUD per month, daily budget monitoring during high-competition periods such as EOFY, Black Friday, and Boxing Day sales. Set and forget is not a strategy. It is a guarantee that the mistakes on this list will appear in your account within six months, because Google’s defaults, automated recommendations, and match type evolution all pull in directions that serve Google’s revenue, not yours.
Thinking about your own account and not sure which of these applies to you? Book a 30-minute call — we will look at the account together and tell you exactly what we see.