1) Start with measurement and goals (because the system can only optimize what you tell it to)
Choose the right conversion goals and make them “Primary” on purpose
If you want maximum performance, the first optimization is philosophical: stop optimizing for activity (clicks, traffic, “time on site”) and start optimizing for outcomes (revenue, qualified leads, profit proxies). In Google Ads, outcomes are expressed through conversion actions grouped into conversion goals, and only the conversion actions that are set up to influence bidding should be treated as your “source of truth.”
In practice, that means every campaign should be bidding toward a goal that contains at least one Primary conversion action, and that goal must be actively selected for optimization by that campaign. If you have important secondary actions (like “view pricing page” or “chat opened”), keep them for visibility in reporting, but don’t let them accidentally become what bidding optimizes toward—especially if they’re easy to trigger and don’t reliably predict sales.
One nuance that trips up experienced teams: if you build a custom goal and include a conversion action that’s marked “Secondary,” it can still be used for bidding when that custom goal is assigned to a campaign. So treat custom goals like a scalpel: only include actions you truly want the bidding system to chase.
Fix the data first: enhanced conversions and cleaner signals
When advertisers complain that Smart Bidding “doesn’t work,” nine times out of ten it’s not the bidding—it’s the conversion data. Strong optimization depends on clean measurement, stable tagging, and conversions that represent real business value.
If you’re measuring web leads or purchases, enhanced conversions are one of the highest-leverage upgrades you can make because they use hashed first-party customer data (for example, email or phone captured on your site) to improve match quality and recover conversions that would otherwise be lost in reporting. Better measurement improves optimization because the bidding system learns from what you can actually measure. Expect reporting and optimization impact to take time to show up; as a rule of thumb, evaluate the effect after the system has had a few weeks of consistent data.
Don’t “go codeless” by accident if you need values, IDs, or enhanced parameters
Codeless web conversions can be the fastest way to get a conversion action live, and they’re perfectly acceptable for early-stage accounts or simple lead flows. The tradeoff is control: URL-based/codeless setups can limit your ability to pass conversion value, transaction IDs, and enhanced conversion parameters. If you care about ROAS, offline lead quality, deduplication, or CRM matchback, you’ll typically want a more robust setup sooner rather than later.
Assign values (even for leads) so you can optimize for ROI, not just volume
For ecommerce, values are straightforward. For lead gen, values are still essential if you want “maximum performance” to mean maximum profit, not maximum form fills. Start with a simple average value per qualified lead (or use stage-based values: qualified lead, booked call, closed deal) and refine over time. Once you have values you trust, “Maximize conversion value” with an optional target ROAS becomes a much more powerful framework than “Maximize conversions,” because it teaches the system that not all conversions are equal.
2) Build campaigns that give automation the right inputs (structure, queries, creative, landing pages)
Keyword strategy: use match types intentionally, and control waste with search terms and negatives
For Search campaigns, the fastest path to better performance is usually tighter alignment between three things: the query, the ad message, and the landing page. Match types help you balance reach and control, but remember that all match types can match to close variants, and there’s no opt-out. That reality makes your ongoing query review process non-negotiable.
Set a cadence to review your search terms report and harvest what’s working into dedicated ad groups (or dedicated campaigns when budgets are significant). At the same time, aggressively block what is truly irrelevant. The goal isn’t to build an enormous negative list for sport; it’s to remove the clear mismatches that burn spend and confuse the learning system.
Responsive Search Ads: treat “Ad Strength” as a production standard
In mature accounts, ad testing is often the cheapest “performance unlock” available, but only if you feed the system enough variation to learn. Responsive Search Ads are built for this: provide the maximum number of unique, non-repetitive headlines and descriptions you can. Pinning should be the exception, not the rule, because pinning reduces the number of combinations available and can drag down performance (and Ad Strength).
Use Ad Strength feedback as a practical checklist: get at least one RSA per ad group to “Good” or “Excellent,” then iterate based on real conversion performance. Advertisers who improve Ad Strength from “Poor” to “Excellent” tend to see meaningful conversion lifts on average, but the bigger win is that you’re increasing the system’s ability to match the right message to the right query.
Assets (formerly extensions): increase relevance and CTR without rebuilding campaigns
Assets are one of the most underused levers for visibility and efficiency. They expand your ad footprint, improve user navigation, and often lift CTR—which can improve overall auction performance. Start with sitelinks and aim for depth. As a practical benchmark, having six or more sitelinks is often a strong coverage target and can contribute to stronger ad experiences.
Then layer in structured snippets to add scannable specificity (think “Services,” “Types,” “Brands,” “Styles”), and follow the simple discipline that keeps them eligible: ensure the header matches the values and include enough values (four or more is a solid baseline) so the system has options to serve.
Landing page experience: performance usually breaks here before it breaks anywhere else
If your CTR is decent but conversion rate is weak, don’t immediately blame bids or audiences. Fix the landing page. In Google Ads, landing page experience is one of the core components of Quality Score diagnostics, alongside expected CTR and ad relevance. You don’t need to obsess over Quality Score as a KPI, but you should use it as a warning light: “Below average” landing page experience is often a reliable signal of message mismatch, slow pages, thin content, or a confusing next step.
For maximum performance, each ad group (or asset group theme) should land on a page that mirrors the user’s intent, repeats the promise from the ad in the first screen, and makes the conversion action obvious. Small improvements here often outperform weeks of bid tinkering.
Performance Max: focus on theme quality, URL control, and guardrails (not micromanagement)
Performance Max can scale results quickly, but only if you give it clean inputs and smart constraints.
Start with asset groups that each represent a single theme (product category, service line, or audience intent). Build out the full creative mix: multiple images, multiple logos, and videos. If you don’t provide a video, the platform may generate one automatically; that can work, but brand-sensitive advertisers usually get better outcomes by uploading their own videos to control messaging and visuals.
Use audience signals as a steering wheel, not a cage. Signals are optional, and the system can still find converters outside your signals when it predicts strong likelihood to convert. The best use of signals is to accelerate learning at launch (your best customer lists, high-intent segments, and strong custom segments), then let performance guide the next iteration.
Finally, manage where traffic lands. Final URL expansion is on by default and can route users to more relevant pages on your domain based on intent. This can help performance, but it also requires discipline: exclude non-commercial pages (careers, support, blog posts that don’t convert, logins) using URL exclusions or rules. If you need tighter control, pair URL strategy with page feeds so you can guide indexing and keep the system focused.
Brand control and query exclusions: use the right tool for the job
For Performance Max, negative keywords exist, but they’re a restrictive control and can harm performance if overused. Use them only for essential brand safety or completely irrelevant queries. If the problem is “we’re paying for our own brand traffic,” brand exclusions are the better solution because they’re designed to block brand variants more comprehensively.
One important platform change to be aware of: as of May 27, 2025, brand exclusions for Search campaigns began upgrading into AI Max (in beta). If your account uses brand exclusions on Search, expect to see prompts to upgrade and plan your workflow accordingly so you don’t lose time hunting for settings during a performance issue.
3) Optimize like an operator: bidding, budgets, controlled testing, and a weekly routine
Pick the bidding strategy that matches the business goal (and use targets as guardrails)
Maximum performance doesn’t mean “always use Smart Bidding,” but in most accounts it does mean you should graduate to it quickly once conversion tracking is reliable. Choose the strategy that aligns with your goal: if you want the most conversions within budget, use Maximize conversions with an optional target CPA as a guardrail. If you want the most value, use Maximize conversion value with an optional target ROAS.
Also note how bidding strategies are organized in modern Search campaigns: Target CPA and Target ROAS are effectively treated as optional targets within Maximize conversions and Maximize conversion value, respectively. In day-to-day management, that matters because many teams think they’re “switching strategies” when they’re really just tightening or loosening a target.
Budget is a performance lever, not an accounting setting
Strong accounts fail when budgets are set in a way that prevents learning. If you’re constraining spend too tightly, you can force the system into low-quality auctions where it can “hit the target” but only by buying cheap traffic. If you’re spending too aggressively without value signals, you can scale inefficiency.
For maximum performance, align budgets to the campaigns that have (1) the best marginal returns and (2) enough conversion volume for the bidding system to learn. When results dip, don’t immediately cut budgets everywhere; isolate the issue first (tracking, demand, creative fatigue, landing page changes, policy/eligibility, or a target that’s suddenly unrealistic).
Use seasonality adjustments only for true anomalies
Smart Bidding already accounts for seasonal patterns, so seasonality adjustments should be rare. Use them when you can reasonably predict a sharp conversion-rate change for a short period—flash sales, major promotions, or a one-off event. Keep them short (1–7 days is ideal), and avoid leaving them running for extended periods (more than 14 days is typically where they stop being helpful).
Optimization Score and recommendations: use them, but don’t worship them
Optimization Score is a useful estimate of how well your account is set up to perform, and it can surface legitimate opportunities: missing assets, weak ad variety, bidding misalignment, wasted keywords, and so on. The key is to treat it like a prioritized QA list, not a mandate to reach 100%.
Run a simple rule: apply what aligns with your strategy, and dismiss what doesn’t. Dismissing is also part of optimization because it trains the recommendation system around what’s relevant for your account. If you allow auto-apply recommendations, do it deliberately and review the history regularly so you don’t wake up to structural changes you didn’t intend.
A practical weekly optimization checklist (the things that actually move performance)
- Verify measurement stability: sudden conversion drops often trace back to tagging, site changes, consent/measurement shifts, or a broken thank-you page before they trace back to “the algorithm.”
- Audit search terms and waste: add negatives for truly irrelevant queries, and promote consistent winners into tighter targeting (new ad groups/campaigns if needed).
- Refresh creative inputs: improve RSA variety toward “Good/Excellent,” expand assets coverage (sitelinks, snippets), and update Performance Max assets so the system has fresh options.
- Check landing page alignment: your best keywords should land on your best pages, with the clearest next step and consistent messaging.
- Adjust targets gradually: when using target CPA/ROAS guardrails, move in small increments and give the system time to relearn instead of yanking it week to week.
- Review recommendations intentionally: apply, dismiss, or deliberately ignore—but don’t leave the account in “maybe later” limbo.
What “maximum performance” looks like in real accounts
When Google Ads is truly optimized, you’ll see consistency across the stack: conversion goals reflect business outcomes, enhanced measurement reduces blind spots, bidding strategies match value, ads and assets provide enough variety to win auctions, and landing pages convert the intent you’re paying for. At that point, optimization becomes less about constant rebuilds and more about disciplined iteration—tightening what works, excluding what doesn’t, and continuously improving the inputs that the system uses to find your next best customer.
Let AI handle
the Google Ads grunt work
Let AI handle
the Google Ads grunt work
If you’re working toward “maximum performance” in Google Ads, the biggest gains usually come from tightening the full chain—clear conversion goals (Primary vs Secondary), stronger measurement (like enhanced conversions), cleaner keyword and search-term hygiene, higher-quality RSAs and assets, smarter bidding targets, and landing pages that match intent. Blobr is built to support that kind of ongoing, structured optimization by connecting to your Google Ads account, monitoring what’s changing, and translating best practices into concrete, prioritized recommendations—powered by specialized AI agents that can tackle tasks like keyword-to-landing-page alignment (with the Keyword Landing Optimizer) or improving page relevance to ad messaging (with the Campaign Landing Page Optimizer), so you can spend less time on repetitive account checks and more time making the decisions that move results.
1) Start with measurement and goals (because the system can only optimize what you tell it to)
Choose the right conversion goals and make them “Primary” on purpose
If you want maximum performance, the first optimization is philosophical: stop optimizing for activity (clicks, traffic, “time on site”) and start optimizing for outcomes (revenue, qualified leads, profit proxies). In Google Ads, outcomes are expressed through conversion actions grouped into conversion goals, and only the conversion actions that are set up to influence bidding should be treated as your “source of truth.”
In practice, that means every campaign should be bidding toward a goal that contains at least one Primary conversion action, and that goal must be actively selected for optimization by that campaign. If you have important secondary actions (like “view pricing page” or “chat opened”), keep them for visibility in reporting, but don’t let them accidentally become what bidding optimizes toward—especially if they’re easy to trigger and don’t reliably predict sales.
One nuance that trips up experienced teams: if you build a custom goal and include a conversion action that’s marked “Secondary,” it can still be used for bidding when that custom goal is assigned to a campaign. So treat custom goals like a scalpel: only include actions you truly want the bidding system to chase.
Fix the data first: enhanced conversions and cleaner signals
When advertisers complain that Smart Bidding “doesn’t work,” nine times out of ten it’s not the bidding—it’s the conversion data. Strong optimization depends on clean measurement, stable tagging, and conversions that represent real business value.
If you’re measuring web leads or purchases, enhanced conversions are one of the highest-leverage upgrades you can make because they use hashed first-party customer data (for example, email or phone captured on your site) to improve match quality and recover conversions that would otherwise be lost in reporting. Better measurement improves optimization because the bidding system learns from what you can actually measure. Expect reporting and optimization impact to take time to show up; as a rule of thumb, evaluate the effect after the system has had a few weeks of consistent data.
Don’t “go codeless” by accident if you need values, IDs, or enhanced parameters
Codeless web conversions can be the fastest way to get a conversion action live, and they’re perfectly acceptable for early-stage accounts or simple lead flows. The tradeoff is control: URL-based/codeless setups can limit your ability to pass conversion value, transaction IDs, and enhanced conversion parameters. If you care about ROAS, offline lead quality, deduplication, or CRM matchback, you’ll typically want a more robust setup sooner rather than later.
Assign values (even for leads) so you can optimize for ROI, not just volume
For ecommerce, values are straightforward. For lead gen, values are still essential if you want “maximum performance” to mean maximum profit, not maximum form fills. Start with a simple average value per qualified lead (or use stage-based values: qualified lead, booked call, closed deal) and refine over time. Once you have values you trust, “Maximize conversion value” with an optional target ROAS becomes a much more powerful framework than “Maximize conversions,” because it teaches the system that not all conversions are equal.
2) Build campaigns that give automation the right inputs (structure, queries, creative, landing pages)
Keyword strategy: use match types intentionally, and control waste with search terms and negatives
For Search campaigns, the fastest path to better performance is usually tighter alignment between three things: the query, the ad message, and the landing page. Match types help you balance reach and control, but remember that all match types can match to close variants, and there’s no opt-out. That reality makes your ongoing query review process non-negotiable.
Set a cadence to review your search terms report and harvest what’s working into dedicated ad groups (or dedicated campaigns when budgets are significant). At the same time, aggressively block what is truly irrelevant. The goal isn’t to build an enormous negative list for sport; it’s to remove the clear mismatches that burn spend and confuse the learning system.
Responsive Search Ads: treat “Ad Strength” as a production standard
In mature accounts, ad testing is often the cheapest “performance unlock” available, but only if you feed the system enough variation to learn. Responsive Search Ads are built for this: provide the maximum number of unique, non-repetitive headlines and descriptions you can. Pinning should be the exception, not the rule, because pinning reduces the number of combinations available and can drag down performance (and Ad Strength).
Use Ad Strength feedback as a practical checklist: get at least one RSA per ad group to “Good” or “Excellent,” then iterate based on real conversion performance. Advertisers who improve Ad Strength from “Poor” to “Excellent” tend to see meaningful conversion lifts on average, but the bigger win is that you’re increasing the system’s ability to match the right message to the right query.
Assets (formerly extensions): increase relevance and CTR without rebuilding campaigns
Assets are one of the most underused levers for visibility and efficiency. They expand your ad footprint, improve user navigation, and often lift CTR—which can improve overall auction performance. Start with sitelinks and aim for depth. As a practical benchmark, having six or more sitelinks is often a strong coverage target and can contribute to stronger ad experiences.
Then layer in structured snippets to add scannable specificity (think “Services,” “Types,” “Brands,” “Styles”), and follow the simple discipline that keeps them eligible: ensure the header matches the values and include enough values (four or more is a solid baseline) so the system has options to serve.
Landing page experience: performance usually breaks here before it breaks anywhere else
If your CTR is decent but conversion rate is weak, don’t immediately blame bids or audiences. Fix the landing page. In Google Ads, landing page experience is one of the core components of Quality Score diagnostics, alongside expected CTR and ad relevance. You don’t need to obsess over Quality Score as a KPI, but you should use it as a warning light: “Below average” landing page experience is often a reliable signal of message mismatch, slow pages, thin content, or a confusing next step.
For maximum performance, each ad group (or asset group theme) should land on a page that mirrors the user’s intent, repeats the promise from the ad in the first screen, and makes the conversion action obvious. Small improvements here often outperform weeks of bid tinkering.
Performance Max: focus on theme quality, URL control, and guardrails (not micromanagement)
Performance Max can scale results quickly, but only if you give it clean inputs and smart constraints.
Start with asset groups that each represent a single theme (product category, service line, or audience intent). Build out the full creative mix: multiple images, multiple logos, and videos. If you don’t provide a video, the platform may generate one automatically; that can work, but brand-sensitive advertisers usually get better outcomes by uploading their own videos to control messaging and visuals.
Use audience signals as a steering wheel, not a cage. Signals are optional, and the system can still find converters outside your signals when it predicts strong likelihood to convert. The best use of signals is to accelerate learning at launch (your best customer lists, high-intent segments, and strong custom segments), then let performance guide the next iteration.
Finally, manage where traffic lands. Final URL expansion is on by default and can route users to more relevant pages on your domain based on intent. This can help performance, but it also requires discipline: exclude non-commercial pages (careers, support, blog posts that don’t convert, logins) using URL exclusions or rules. If you need tighter control, pair URL strategy with page feeds so you can guide indexing and keep the system focused.
Brand control and query exclusions: use the right tool for the job
For Performance Max, negative keywords exist, but they’re a restrictive control and can harm performance if overused. Use them only for essential brand safety or completely irrelevant queries. If the problem is “we’re paying for our own brand traffic,” brand exclusions are the better solution because they’re designed to block brand variants more comprehensively.
One important platform change to be aware of: as of May 27, 2025, brand exclusions for Search campaigns began upgrading into AI Max (in beta). If your account uses brand exclusions on Search, expect to see prompts to upgrade and plan your workflow accordingly so you don’t lose time hunting for settings during a performance issue.
3) Optimize like an operator: bidding, budgets, controlled testing, and a weekly routine
Pick the bidding strategy that matches the business goal (and use targets as guardrails)
Maximum performance doesn’t mean “always use Smart Bidding,” but in most accounts it does mean you should graduate to it quickly once conversion tracking is reliable. Choose the strategy that aligns with your goal: if you want the most conversions within budget, use Maximize conversions with an optional target CPA as a guardrail. If you want the most value, use Maximize conversion value with an optional target ROAS.
Also note how bidding strategies are organized in modern Search campaigns: Target CPA and Target ROAS are effectively treated as optional targets within Maximize conversions and Maximize conversion value, respectively. In day-to-day management, that matters because many teams think they’re “switching strategies” when they’re really just tightening or loosening a target.
Budget is a performance lever, not an accounting setting
Strong accounts fail when budgets are set in a way that prevents learning. If you’re constraining spend too tightly, you can force the system into low-quality auctions where it can “hit the target” but only by buying cheap traffic. If you’re spending too aggressively without value signals, you can scale inefficiency.
For maximum performance, align budgets to the campaigns that have (1) the best marginal returns and (2) enough conversion volume for the bidding system to learn. When results dip, don’t immediately cut budgets everywhere; isolate the issue first (tracking, demand, creative fatigue, landing page changes, policy/eligibility, or a target that’s suddenly unrealistic).
Use seasonality adjustments only for true anomalies
Smart Bidding already accounts for seasonal patterns, so seasonality adjustments should be rare. Use them when you can reasonably predict a sharp conversion-rate change for a short period—flash sales, major promotions, or a one-off event. Keep them short (1–7 days is ideal), and avoid leaving them running for extended periods (more than 14 days is typically where they stop being helpful).
Optimization Score and recommendations: use them, but don’t worship them
Optimization Score is a useful estimate of how well your account is set up to perform, and it can surface legitimate opportunities: missing assets, weak ad variety, bidding misalignment, wasted keywords, and so on. The key is to treat it like a prioritized QA list, not a mandate to reach 100%.
Run a simple rule: apply what aligns with your strategy, and dismiss what doesn’t. Dismissing is also part of optimization because it trains the recommendation system around what’s relevant for your account. If you allow auto-apply recommendations, do it deliberately and review the history regularly so you don’t wake up to structural changes you didn’t intend.
A practical weekly optimization checklist (the things that actually move performance)
- Verify measurement stability: sudden conversion drops often trace back to tagging, site changes, consent/measurement shifts, or a broken thank-you page before they trace back to “the algorithm.”
- Audit search terms and waste: add negatives for truly irrelevant queries, and promote consistent winners into tighter targeting (new ad groups/campaigns if needed).
- Refresh creative inputs: improve RSA variety toward “Good/Excellent,” expand assets coverage (sitelinks, snippets), and update Performance Max assets so the system has fresh options.
- Check landing page alignment: your best keywords should land on your best pages, with the clearest next step and consistent messaging.
- Adjust targets gradually: when using target CPA/ROAS guardrails, move in small increments and give the system time to relearn instead of yanking it week to week.
- Review recommendations intentionally: apply, dismiss, or deliberately ignore—but don’t leave the account in “maybe later” limbo.
What “maximum performance” looks like in real accounts
When Google Ads is truly optimized, you’ll see consistency across the stack: conversion goals reflect business outcomes, enhanced measurement reduces blind spots, bidding strategies match value, ads and assets provide enough variety to win auctions, and landing pages convert the intent you’re paying for. At that point, optimization becomes less about constant rebuilds and more about disciplined iteration—tightening what works, excluding what doesn’t, and continuously improving the inputs that the system uses to find your next best customer.
