AI tools that aim to maximize Ad campaign reach in 2026 seem like a no-brainer for automating workflow and achieving the highest ROAS. Google, Meta, and other platforms have rolled out their AI infused tools and campaign strategies that promise to optimize your budget and deliver the best results.
But how much of your budget should you allocate towards an entirely automated campaign? All of it? Two-thirds? None? The truth is, if not carefully monitored and set up properly, AI & automated campaign tools like Google’s Performance Max can eat up your ad spend budget with misleading conversion data from leads that don’t match your target user criteria. So why use Performance Max at all? What does it do?
In Google’s words:
“Performance Max (PMax) is a goal-based campaign type that allows performance advertisers to access all of their Google Ads inventory from a single campaign… [it] helps you drive performance based on your specified conversion goals, delivering more conversions and value by optimizing performance in real-time and across channels using Smart Bidding [and] Google AI across bidding, budget optimization, audiences, creatives, attribution, and more.”
Essentially, it automates bidding on keywords, use of creative & assets, target reach, and audiences by optimizing an advertiser’s budget using Google’s proprietary AI.
It sounds infallible, and in many cases, it can lead to optimized results for some advertisers; however if left unmonitored and unchecked, PMax and other similar AI tools can churn your ad budget to optimize for metrics that don’t actually lead to conversions.
When Google Ads run using PMax, it optimizes towards a conversion goal, but it has no internal concept of quality unless you explicitly model it, meaning ill-defined leads that are low-intent or inflated will be aggressively pursued. If not properly expressed, A PMax campaign will continue to pursue these less-than-ideal conversions regardless of whether or not they come from sources that match your target audience. Because Performance Max optimizes toward the conversion signals it receives, poor-quality or loosely defined conversion goals can effectively train the system to pursue the wrong users, wasting ad spend dollars in the process.
Moreover, PMax places a mix of your ads across all Google Ads networks, regardless of which platforms are most appropriate. Google’s Ad networks includes Search, Google Display Network (GDN), YouTube, Google Apps and Google Shopping. Take results on Google Display Network for example.
GDN can sometimes produce clicks or impressions from unspecified and irrelevant sources, due to the nature of display ads on Google’s partner websites. Ads can be misaligned with your target audience, since GDN network ads aren’t placed based on what users are searching for, like in Search and YouTube. Rather, Google guesses best for placing relevant ads on partner sites on the GDN using various signals, audience matching, and behaviour targeting.
Without channel controls within PMax, and the nature of GDN’s lesser concentration of high-intent traffic, low-quality traffic can sometimes absorb spend that would otherwise go to high-intent channels like Search and YouTube. Despite this, If a PMax campaign is getting inexpensive conversions on the GDN for example, it will shift ad spend to maximize the intended goal. Analytics reporting in PMax is aggregate, which makes isolating attribution by network harder to pin-point, and pivoting courses can take weeks for the AI and machine learning to adjust. GDN can deliver great results, but it’s always best to have it in its own campaign group, since when unmonitored it can risk deviating from qualified leads.So why use PMax at all? What PMax does excel at is generating conversions for consumer products, like ones you can buy off e-commerce websites, direct to consumer products, or anything that deals in high-volume sales. PMax thrives with high datasets, meaning lots of transactions that it can use to track data, and massive ad budgets to parse through thousands of clicks, conversions and other user interactions.
In the SaaS world, if your product is a cheaper tool, maybe an add-on, a plug-in, or standalone niche app that’s a one-time purchase, PMax may be able to help achieve conversion goals at a faster rate than traditional manually setup campaigns.GOAL BASEDPMax always optimizes toward a conversion goal, meaning it can solve for one or more of the following:
– Conversions
– Conversion Value
– Value-Based Bidding (tROAS)
We won’t go into detail for what all these terms mean, but essentially, if you are able to map out how valuable a click, form-submission, or a purchase/subscription is for your SaaS, PMax can help set a limit and optimize for how much you’re willing to spend in relation to how many conversions PMax can maximize given its budget.
BEST PRACTICES FOR USING PMAX OTHER AI/AUTOMATION TOOLS
If you run a SaaS that:
– Is more geared towards consumers than businesses
– Is low price
– Has minimal sales touch points in order to convert
– Has high sales volume
PMax might make sense for you to use in conjunction with other ad strategies. However, even if your SaaS matches this criteria, it’s better to use PMax as a secondary campaign, not an initial one. PMax does a better job using existing conversion data to draw from. You should first set up standard Search, GDN, YouTube, or any other Google Network campaign that stands alone to generate enough data and results to have a goal that PMax can tightly focus around. If you don’t have robust conversion history and signal clarity readily available, it’s recommended to achieve consistent, meaningful conversion volume before experimenting with PMax. If you’re in this scenario, running at least one Search campaign is highly recommended before running PMax. PMax can then take this data from existing campaigns and conversions to find the best method for achieving your tightly focused campaign goals.
SPECIFIC PITFALLS TO LOOK OUT FOR
PMax can sometimes bid on Branded Traffic (searches that contain your SaaS’s name from users actively searching for it) if it matches campaign goals. This means PMax can accidentally pay for searches from users that were already looking for and researching your SaaS, or worse, from existing users of your SaaS.
PMax doesn’t distinguish between new demand and existing demand unless you explicitly structure campaigns to separate them.To avoid this mishap, in a PMax campaign, be sure to add search terms to Brand Exclusions that could draw in users that are actively searching for your SaaS already. This would cover searches like ‘YourSaaS’s Login’, ‘YourSaaS’s Pricing’, ‘YourSaaS’s Reviews’.
PMax can also tend to deliver desired results for a limited time, but eventually fall into a rut after months of stable results. Say for example, you budget 75% of all campaign budgets to PMax, it delivers reliable results for the first 8 or 9 months, but eventually it hits a plateau, and it starts to stall. Why does this happen?If parameters and signals are unaltered, PMax will saturate the pool of audiences it’s targeting with higher probability conversion rates, and exhaust potential conversions with ad fatigue and over-targeting. It’s crucial to update keywords, and refresh creative with new messaging and images to your campaign so it doesn’t run out of new leads to target.
TAKE HOME MESSAGE
The bottom line is if you are resource strapped and need to assign advertising and marketing to automated and AI-infused tools like PMax:
1) Be sure to at least run at least a couple Custom CPC campaigns to farm relevant data.
2) Make sure you have tightly focused campaign goals that are backed up with enough data/conversions to ensure high value engagement.
3) Make sure your PMax campaign isn’t spamming search terms that are irrelevant to gaining new users (especially branded search terms that name your SaaS directly)
4) Ensure you don’t get stuck in a rut at the 6–9 month mark of a PMax campaign by routinely updating your campaign parameters and creative, including Key Words, assets and images.
5) Set aside a few hours a month to monitor the results – even if a campaign generates numerous clicks and conversions, stress test the results by tying it to your actual sales data, or other relevant metrics to ensure the engagement is leading to tangible results in your SaaS.
Interested to know what campaign types, strategies, and considerations would work best for your particular case? Request a one-hour strategy session where we discuss what we think is the best course of action for your SaaS. Email us at matt@saltandsugar.tv, or schedule a
When Google Ads run using PMax, it optimizes towards a conversion goal, but it has no internal concept of quality unless you explicitly model it, meaning ill-defined leads that are low-intent or inflated will be aggressively pursued. If not properly expressed, A PMax campaign will continue to pursue these less-than-ideal conversions regardless of whether or not they come from sources that match your target audience. Because Performance Max optimizes toward the conversion signals it receives, poor-quality or loosely defined conversion goals can effectively train the system to pursue the wrong users, wasting ad spend dollars in the process.
Moreover, PMax places a mix of your ads across all Google Ads networks, regardless of which platforms are most appropriate. Google’s Ad networks includes Search, Google Display Network (GDN), YouTube, Google Apps and Google Shopping. Take results on Google Display Network for example.
GDN can sometimes produce clicks or impressions from unspecified and irrelevant sources, due to the nature of display ads on Google’s partner websites. Ads can be misaligned with your target audience, since GDN network ads aren’t placed based on what users are searching for, like in Search and YouTube. Rather, Google guesses best for placing relevant ads on partner sites on the GDN using various signals, audience matching, and behaviour targeting.
Without channel controls within PMax, and the nature of GDN’s lesser concentration of high-intent traffic, low-quality traffic can sometimes absorb spend that would otherwise go to high-intent channels like Search and YouTube. Despite this, If a PMax campaign is getting inexpensive conversions on the GDN for example, it will shift ad spend to maximize the intended goal. Analytics reporting in PMax is aggregate, which makes isolating attribution by network harder to pin-point, and pivoting courses can take weeks for the AI and machine learning to adjust. GDN can deliver great results, but it’s always best to have it in its own campaign group, since when unmonitored it can risk deviating from qualified leads.So why use PMax at all? What PMax does excel at is generating conversions for consumer products, like ones you can buy off e-commerce websites, direct to consumer products, or anything that deals in high-volume sales. PMax thrives with high datasets, meaning lots of transactions that it can use to track data, and massive ad budgets to parse through thousands of clicks, conversions and other user interactions.
In the SaaS world, if your product is a cheaper tool, maybe an add-on, a plug-in, or standalone niche app that’s a one-time purchase, PMax may be able to help achieve conversion goals at a faster rate than traditional manually setup campaigns.GOAL BASEDPMax always optimizes toward a conversion goal, meaning it can solve for one or more of the following:
– Conversions
– Conversion Value
– Value-Based Bidding (tROAS)
We won’t go into detail for what all these terms mean, but essentially, if you are able to map out how valuable a click, form-submission, or a purchase/subscription is for your SaaS, PMax can help set a limit and optimize for how much you’re willing to spend in relation to how many conversions PMax can maximize given its budget.
BEST PRACTICES FOR USING PMAX OTHER AI/AUTOMATION TOOLS
If you run a SaaS that:
– Is more geared towards consumers than businesses
– Is low price
– Has minimal sales touch points in order to convert
– Has high sales volume
PMax might make sense for you to use in conjunction with other ad strategies. However, even if your SaaS matches this criteria, it’s better to use PMax as a secondary campaign, not an initial one. PMax does a better job using existing conversion data to draw from. You should first set up standard Search, GDN, YouTube, or any other Google Network campaign that stands alone to generate enough data and results to have a goal that PMax can tightly focus around. If you don’t have robust conversion history and signal clarity readily available, it’s recommended to achieve consistent, meaningful conversion volume before experimenting with PMax. If you’re in this scenario, running at least one Search campaign is highly recommended before running PMax. PMax can then take this data from existing campaigns and conversions to find the best method for achieving your tightly focused campaign goals.
SPECIFIC PITFALLS TO LOOK OUT FOR
PMax can sometimes bid on Branded Traffic (searches that contain your SaaS’s name from users actively searching for it) if it matches campaign goals. This means PMax can accidentally pay for searches from users that were already looking for and researching your SaaS, or worse, from existing users of your SaaS.
PMax doesn’t distinguish between new demand and existing demand unless you explicitly structure campaigns to separate them.To avoid this mishap, in a PMax campaign, be sure to add search terms to Brand Exclusions that could draw in users that are actively searching for your SaaS already. This would cover searches like ‘YourSaaS’s Login’, ‘YourSaaS’s Pricing’, ‘YourSaaS’s Reviews’.
PMax can also tend to deliver desired results for a limited time, but eventually fall into a rut after months of stable results. Say for example, you budget 75% of all campaign budgets to PMax, it delivers reliable results for the first 8 or 9 months, but eventually it hits a plateau, and it starts to stall. Why does this happen?If parameters and signals are unaltered, PMax will saturate the pool of audiences it’s targeting with higher probability conversion rates, and exhaust potential conversions with ad fatigue and over-targeting. It’s crucial to update keywords, and refresh creative with new messaging and images to your campaign so it doesn’t run out of new leads to target.
TAKE HOME MESSAGE
The bottom line is if you are resource strapped and need to assign advertising and marketing to automated and AI-infused tools like PMax:
1) Be sure to at least run at least a couple Custom CPC campaigns to farm relevant data.
2) Make sure you have tightly focused campaign goals that are backed up with enough data/conversions to ensure high value engagement.
3) Make sure your PMax campaign isn’t spamming search terms that are irrelevant to gaining new users (especially branded search terms that name your SaaS directly)
4) Ensure you don’t get stuck in a rut at the 6–9 month mark of a PMax campaign by routinely updating your campaign parameters and creative, including Key Words, assets and images.
5) Set aside a few hours a month to monitor the results – even if a campaign generates numerous clicks and conversions, stress test the results by tying it to your actual sales data, or other relevant metrics to ensure the engagement is leading to tangible results in your SaaS.
Interested to know what campaign types, strategies, and considerations would work best for your particular case? Request a one-hour strategy session where we discuss what we think is the best course of action for your SaaS. Email us at matt@saltandsugar.tv, or schedule a
