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Why your Google Ads cost per lead keeps going up on Performance Max

Verified 6 May 2026. Performance Max features change every three to six months; review and update annually or sooner if Google ships a major PMax update. 

You open Google Ads on a Tuesday morning. Cost per lead up 40% over six months. Conversions down. Your Google rep emails a 30-minute slot to “discuss budget options”. The pitch always lands the same way: spend more, give the algorithm room to work, trust the system. 

If you run a Melbourne small business and that scenario is familiar, you are not alone. Performance Max campaigns have rewritten how Google Ads works since 2022, and they sit at the heart of most Australian SMB accounts. The campaign type can produce strong results. It can also bleed money in ways that are hard to see until the quarterly numbers land. The reason your cost per lead keeps creeping up is rarely random, and it is rarely fixed by spending more. 

This is what’s happening inside the campaign, and what to do about it.

How Performance Max distributes your Google Ads budget

Performance Max is a single campaign that runs ads across Search, YouTube, Display, Discover, Gmail, and Maps. You give Google your assets, your conversion goals, and your audience signals. The algorithm decides where to show what to whom. 

Three things change the moment you turn one on: 

  • Audience signals are guidance, not targeting. The signals you provide (your customer list, your in-market suggestions) are inputs the algorithm weighs against everything else it knows about prospective buyers. The system can ignore them when it finds cheaper conversions elsewhere. 
  • Placement decisions sit inside the algorithm. Until early 2026, advertisers had no real visibility into where their PMax budget went. Channel-level reporting is now available across all accounts, splitting spend across Search, YouTube, Display, Discover, Gmail, and Maps. The “When and where ads showed” report also includes Search Partner Network placements with impression data. 
  • Creative rotation is automated. Google decides which combination of headlines, descriptions, images, and video gets shown to which person. You can no longer A/B test your way to a winning ad in the way Search campaigns allowed. 

This is the trade-off. You give up control. You hope the algorithm finds people you would not have reached on Search alone. 

The three ways Performance Max inflates your cost per lead

When the algorithm has full discretion and a conversion goal to chase, it tends toward the path of least resistance. For a small business, that path usually leads to higher cost per lead over time. Three patterns drive most of the inflation. 

  • Cheap-traffic placements get prioritised. Display, YouTube, Discover, and Gmail inventory is far cheaper per impression than Google Search. The algorithm gravitates toward these surfaces because they hit the conversion target on a cost-per-conversion basis. The conversions themselves are often soft (newsletter sign-ups, low-intent form fills) rather than the qualified leads that turn into revenue. Your dashboard CPA looks fine. Your sales team finds the leads do not close. 
  • Brand cannibalisation eats your free traffic. Without explicit brand exclusions, Performance Max bids on searches for your business name. People typing your business name into Google were going to land on your site whether you paid or not. PMax shows them an ad, charges you, then claims credit for the conversion. Research from Adalysis covering 3,300 campaigns found that 67% of PMax campaigns overlap with Search campaigns for one or more search terms. Search campaigns consistently convert at a higher rate when both are eligible. 
  • Low-intent search queries get matched aggressively. PMax matches against a wider interpretation of search queries than a Search campaign on phrase or exact match. A plumber bidding on “blocked drain” might find PMax also matched “how to unblock a drain DIY”, a query the searcher had no intention of paying for help with. The cost per impression is low. The cost per qualified lead is high. 

The compound effect over six months is the rising CPL chart you are looking at this morning.

What to check before you cut Performance Max

The case for switching off PMax entirely is rarely as strong as the dashboard suggests. Before you do anything dramatic, run through four checks. They take less than an hour, and they tell you whether the campaign is salvageable. 

  • The “When and where ads showed” report. Filter for your PMax campaign. Look at the network breakdown. If 60% or more of your impressions are running on Display, YouTube, or Discover and your business is service-based, the algorithm is spending your budget on the wrong surfaces. 
  • The asset performance report. Look for assets rated “Low” by Google. Replace them. The algorithm penalises asset groups that lean on weak creative, and a single weak headline can drag a whole asset group down. 
  • The branded search overlap. Run a search term report and look for your business name and any common misspellings. If those queries are showing up in PMax at meaningful volume, brand cannibalisation is part of your CPL problem. The fix is brand exclusions, not budget. 
  • The conversion type quality. Pull the last 90 days of leads from your CRM and compare the close rate of PMax-attributed leads against your Search-attributed leads. If PMax leads close at half the rate, your real CPL is double what the dashboard shows. 

If those four checks point in the same direction, you have your answer. If they point in different directions, the campaign needs surgery rather than a shutdown.

When to fight Performance Max, and when to lean in

PMax is not the right campaign type for every business. It is also not the wrong one for every business. Where you sit depends on your model, your budget, and what you sell. 

Lean in when… Fight it when…
You sell visual products with strong creative assets (retail, fashion, food). You sell professional services where lead quality matters more than volume.
You have a Google Merchant Center feed and benefit from Shopping integration. Your monthly budget is under about $3,000 and placement waste is fatal.
You have a high-intent niche but want incremental reach across surfaces. Your business has strong local search demand and does not need Display reach.
You run multiple asset groups and can monitor reporting weekly. Your audience converts on Search alone and does not need YouTube or Discover.

Fighting it does not mean turning it off. It means structuring your account so PMax does the job it is good at (incremental reach across surfaces) and Search campaigns capture the high-intent, high-quality traffic. The mature setup runs both: dedicated branded Search, dedicated non-branded Search on your highest-converting terms, and PMax with brand exclusions handling everything else. This is the structure most experienced PPC agency teams will recommend in 2026. 

The Google rep conversation

Your Google rep is helpful. Your Google rep is also paid on revenue. When the rep recommends increasing your PMax budget, that recommendation comes through a filter that does not always match your business goals. 

Three things to ask in the next quarterly review: 

  • What percentage of my PMax spend went to Display, YouTube, and Discover last quarter, and what was the close rate on those leads? 
  • Have I applied brand exclusions to PMax, and if not, why not? 
  • If I shift 30% of PMax budget into a dedicated Search campaign, what is the modelled outcome? 

The rep cannot always answer the third question, because the modelling tools they work with assume you stay inside the PMax structure. That is a useful piece of information by itself. 

The 20-minute diagnostic to run on your account this afternoon

Pull your CRM data on the last 90 days of leads and split close rate by source. If PMax leads close materially below Search leads, you have your answer. 

You do not need an audit. You need a sanity check. Open Google Ads now and do four things. 

  • Pull the “When and where ads showed” report for your PMax campaign over the last 90 days. Note the channel split. 
  • Run a search term report and search for your business name. Note whether branded queries are appearing in PMax. 
  • Compare the last 30 days of CPL against the previous 30 days. If CPL is up and the Display or YouTube share has grown, the algorithm has drifted toward cheaper inventory.
  • Pull your CRM data on the last 90 days of leads and split close rate by source. If PMax leads close materially below Search leads, you have your answer. 

Twenty minutes. Four numbers. You will know whether the campaign needs a tweak, a restructure, or a different conversation altogether. 

If the diagnostic points to a restructure rather than a tweak, a partner who has done this work across dozens of Melbourne accounts can rebuild the structure around brand exclusions, dedicated Search campaigns, and a tighter PMax footprint. Google has shipped meaningful transparency improvements in early 2026: channel-level spend reporting, Search Partner Network placement visibility, and first-party audience exclusions. The structural ability to opt out of specific channels has not arrived yet. Until it does, the work of guiding PMax toward profitable inventory sits with the advertiser, not the algorithm. 

If you would rather hand that work to someone who already knows where the leaks tend to be, that is a conversation worth having. 

Common questions about Performance Max and cost per lead

Performance Max is a single Google Ads campaign type that runs ads across Search, Shopping, YouTube, Display, Discover, Gmail, and Maps. You provide assets, conversion goals, and audience signals; Google’s algorithm decides who sees which ad on which surface. It launched broadly in 2022 and is now the default campaign type Google reps recommend to most advertisers. 

The most common cause is that the algorithm has drifted toward cheaper Display, YouTube, or Discover inventory that produces low-quality conversions. Other contributors include brand cannibalisation (PMax bidding on your own business name), broader search query matching than a Search campaign would allow, and weak creative assets dragging down asset group performance. Increased competition in your auctions can also play a part, but it rarely explains a 30 to 50% rise on its own. 

Turning it off entirely is rarely the right answer. The mature approach is to apply brand exclusions, run dedicated Search campaigns on your high-intent and branded terms, and let PMax handle incremental reach across surfaces. If your PMax campaign has poor channel reporting visibility, weak creative, no brand exclusions, and a small budget, restructuring is more useful than switching off. 

Yes. Use Brand Exclusions inside the PMax campaign settings, which apply across both Search and Shopping placements. Account-level negative keywords work as a backup but are less precise. Brand exclusions are the cleanest way to stop PMax from competing with your branded Search campaign for traffic that would have come to you anyway. 

It can, but the smaller your budget, the more vulnerable you are to placement waste. Service-based small businesses with monthly budgets under about $3,000 often see better results from a focused Search campaign with tightly themed keywords and strong landing pages. Visual product businesses with Merchant Center feeds tend to do better with PMax because the Shopping integration adds incremental reach the campaign type was built for. 

Allow at least 4 to 6 weeks for the algorithm to exit the learning phase. After that, the diagnostic above gives you a fair read. If channel allocation looks wrong, brand cannibalisation is happening, and lead close rates are dropping, you have enough data to act. Six months of waiting “for the algorithm to settle” is rarely the right call when CPL has been climbing the whole time. 

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