1) Build the foundation that makes every optimization “stick”
Start with a measurable business goal (not a campaign type)
To maximize Google Ads, you need to decide what “winning” means in numbers you can manage weekly: profitable revenue, qualified leads at a target cost, pipeline value, or customer acquisition cost (CAC) for new customers. Once you define that, every other decision—bidding, keywords, creative, landing pages, and even which campaign types you use—becomes a lever you pull to move that single outcome.
The biggest accounts I’ve managed don’t “do everything.” They pick the few conversion actions that truly represent business value, then build a measurement and bidding system that can scale those actions without guessing.
Fix measurement first: conversions, values, and privacy-ready tracking
If conversion tracking is incomplete, Google Ads automation will still spend, but it will learn the wrong lessons. Your first priority is to set up conversions for where your business actually closes value: website actions (purchases, lead submissions), phone calls, in-app actions (if relevant), and offline outcomes (qualified leads, booked appointments, closed deals).
For lead gen businesses especially, “a form fill” is often a weak proxy for revenue. You’ll usually maximize ROI faster by passing richer data back into Google Ads—either by importing offline conversions (like qualified/closed leads) or by upgrading to enhanced conversions for leads where applicable—so Smart Bidding can optimize toward what your sales team actually wants.
Modern measurement also needs to be durable in a privacy-first environment. Enhanced conversions for web can improve conversion measurement quality by securely hashing first-party customer data (like email/phone captured at conversion) and using it to improve matching. Practically, that often means better attribution and better bidding decisions—especially as browsers and consent choices reduce traditional cookie reliability. Plan for a “measurement maturation period”: you typically want a few weeks of stable data before you judge performance shifts.
Use conversion goals intentionally (primary vs. secondary, and campaign-specific goals)
One of the most common “why did performance tank?” stories is a well-meaning change to conversion goals. In Google Ads, you can group conversion actions into meaningful goal categories (for example, Purchase or Contact) and designate which actions are primary (used for bidding and shown in the main Conversions column) versus secondary (kept for observation).
Then decide whether each campaign should use the account-default goals or campaign-specific conversion goals. This is how you prevent cross-contamination. For example, your brand Search campaign might optimize to “Purchase,” while your YouTube/Demand Gen campaign might optimize to a higher-funnel action or a different lead type. The key is consistency: if you change goals frequently, Smart Bidding has to relearn, and you’ll feel that as volatility.
2) Maximize Search performance (where intent turns into revenue)
Build keyword coverage the way Google matches queries today
Search is still the highest-intent channel for most businesses, but it’s no longer about building massive keyword lists. It’s about creating clean intent clusters and letting your bidding and creative adapt to query nuances.
At a practical level, you should know exactly what each match type is doing. Broad match is the default and has the widest reach; phrase and exact give you more control. The modern unlock is that broad match becomes far more predictable when paired with Smart Bidding, because bids are set using real-time context signals at auction time. That combination often lets you expand into profitable long-tail demand you’d never manually enumerate.
To keep that expansion profitable, your weekly habit should be reviewing the search terms that actually triggered your ads. This is where you’ll identify new high-intent queries to build around, and irrelevant queries to block.
- Weekly non-negotiables (Search demand control): review search terms, add negatives only where you’re sure the intent is wrong, and promote proven search terms into dedicated ad groups when volume justifies it.
- Don’t “negative keyword” your way into smaller results: aggressive negatives can strangle Smart Bidding’s ability to find incremental conversions. Use negatives to remove truly irrelevant intent, not to micromanage every variation.
Use responsive search ads like a testing system (not copywriting homework)
Your ads are not a single message anymore—they’re a set of assets Google assembles into the best combination for each auction. That’s why responsive search ads (RSAs) are the standard: they’re designed to adapt to user intent shifts without you constantly rewriting ads.
In account after account, the simplest way to lift performance is improving RSA asset variety and relevance until you reach Good or Excellent ad strength in each meaningful ad group. Ad strength is not a “quality score,” but it is a very useful compass: it pushes you toward enough unique headlines/descriptions to create strong combinations, and it flags common issues like repetitive assets or over-pinning.
Pinning is a perfect example of a lever people overuse. Pinning reduces the number of possible combinations, which can limit performance. Use it only when you have a compliance requirement or a brand/legal constraint, and even then, give the system multiple pinned options per position when possible so it still has room to optimize.
Pick bidding strategies that match your data reality (then set targets carefully)
Most businesses maximize ROI fastest when they move to conversion-based bidding: Maximize conversions (optionally with a target CPA) or Maximize conversion value (optionally with a target ROAS). The “optional target” matters: if your target is set too aggressively, you can force the system to stop entering auctions it would otherwise win profitably, leading to lower volume and unstable learning.
When you’re using Maximize conversions or Maximize conversion value, understand that these strategies are designed to spend the daily budget you’ve assigned—so “limited by budget” is often inherent to how the strategy operates. Instead of fixating on generic budget-loss diagnostics, use planning and simulation tools and your actual marginal CPA/ROAS to decide whether more budget will scale profitably.
If you’re earlier-stage (low conversion volume), you can still maximize results by staging your approach: start with cleaner conversion definitions, improve landing page conversion rate, and only then tighten CPA/ROAS targets once performance is stable.
3) Scale beyond Search with automation (without losing control)
Performance Max: treat it like a portfolio, not a black box
Performance Max (PMax) can be a major growth engine because it runs across multiple inventories and uses creative assets plus signals to find converting users. The way to “maximize” it is to give it excellent inputs, then evaluate it at the level you can act on: asset groups, assets, audiences, and conversion goals.
Start by structuring asset groups around real business themes (product category, service line, margin tier, or audience intent). Build each asset group with enough creative variety so the system can assemble strong ads across placements. If you don’t upload video, the platform may auto-generate one from your other assets, so if brand presentation matters, it’s usually worth supplying at least one intentional video per theme.
Audience signals are a strong accelerator, especially early in a campaign. They are not strict targeting; they’re suggestions that help the system learn faster. Use first-party lists (past purchasers/leads), custom segments based on high-intent searches, and in-market style signals to guide learning—then let the campaign expand beyond those signals if it can do so profitably.
Control the traffic you must control (brand traffic and brand safety)
A common complaint is “PMax is spending on my brand terms.” If you want to reduce brand-query exposure, you have multiple control options, but you need to choose the right one.
For brand management, brand exclusions are often the cleaner tool than negative keywords because they can block common misspellings and variants more comprehensively. Save negative keywords for situations where you truly need to prevent ads from appearing for specific irrelevant or brand-unsafe queries—because negatives are a restrictive control and can unintentionally block valuable discovery.
Use assets (formerly extensions) to lift CTR and conversion rate at the same CPC
In competitive auctions, your easiest win is often not “bidding higher,” but making your ads more helpful. Assets can increase your visible real estate, qualify clicks, and improve engagement—often without increasing your cost per click the way a bid increase would.
Sitelinks are one of the highest-impact assets because they create multiple entry points into your site. The best-performing accounts build sitelinks at the account level first (so coverage is strong), then override with campaign/ad group/asset group sitelinks where intent differs. Add descriptions when possible, because richer sitelinks unlock additional formats and can improve performance.
Structured snippets help you pre-qualify users by showing categories, services, brands, or features under a header. Use them to reduce wasted clicks (“Oh, they don’t offer that”) and to nudge the right click (“Yes, they have exactly what I need”).
Finally, make visuals part of your Search strategy. Image assets—and where appropriate, dynamic image assets—can materially improve ad engagement by making your text ads look and feel more like product/service previews. The best practice here is simple: provide multiple unique, high-quality images in the right aspect ratios so the system has options across devices.
Make optimization score and recommendations work for you (not the other way around)
Optimization score is a useful prioritization tool: it estimates how well your account is set up to perform and shows recommendations with predicted uplift. It is not a promise of profit, and chasing 100% blindly is one of the fastest ways to apply irrelevant changes.
The expert workflow is to review recommendations routinely, apply the ones aligned with your strategy, and dismiss the ones that don’t fit your business model or tracking reality. Also note a practical nuance: recommendation “cards” typically remain until you either apply or dismiss all items in that card; partially applying a bundle can leave clutter that confuses teams and stakeholders. When you dismiss recommendations at the account level, that recommendation type can be suppressed for a period of time—useful when you’re intentionally not pursuing a given approach for a while.
Keep scaling with disciplined testing (so improvements compound)
Maximizing Google Ads is rarely about one big change; it’s about stacking small, validated gains. Run controlled tests on one variable at a time: bidding targets, landing pages, new creatives, new keyword expansion, or new asset group themes. The goal is to turn your account into an optimization machine where every month you learn something that permanently improves your baseline performance.
If you want a simple cadence that works for most businesses: evaluate budgets and impression opportunity weekly, review search terms and creative quality weekly, adjust conversion goals and bidding targets monthly (not daily), and run at least one meaningful experiment at any given time so you’re always learning your next scalable win.
Let AI handle
the Google Ads grunt work
Let AI handle
the Google Ads grunt work
Maximizing Google Ads usually comes down to getting the fundamentals right and then iterating with discipline: start with clear, measurable business goals, fix conversion tracking so Smart Bidding has reliable signals, use conversion goals intentionally (primary vs. secondary), build a keyword strategy that matches today’s query matching, strengthen your Responsive Search Ads and assets, and scale carefully into formats like Performance Max while keeping brand and traffic controls in place—then keep learning through a steady testing cadence. If you’d rather not spend your week buried in audits, search terms, and ad asset reviews, Blobr is designed to plug into your Google Ads account and continuously translate those best practices into concrete, prioritized actions, with specialized AI agents for jobs like keyword expansion, negative keyword cleanup, ad copy improvements, and landing-page-to-keyword alignment—so you can stay focused on decisions while keeping full control over what changes get made.
1) Build the foundation that makes every optimization “stick”
Start with a measurable business goal (not a campaign type)
To maximize Google Ads, you need to decide what “winning” means in numbers you can manage weekly: profitable revenue, qualified leads at a target cost, pipeline value, or customer acquisition cost (CAC) for new customers. Once you define that, every other decision—bidding, keywords, creative, landing pages, and even which campaign types you use—becomes a lever you pull to move that single outcome.
The biggest accounts I’ve managed don’t “do everything.” They pick the few conversion actions that truly represent business value, then build a measurement and bidding system that can scale those actions without guessing.
Fix measurement first: conversions, values, and privacy-ready tracking
If conversion tracking is incomplete, Google Ads automation will still spend, but it will learn the wrong lessons. Your first priority is to set up conversions for where your business actually closes value: website actions (purchases, lead submissions), phone calls, in-app actions (if relevant), and offline outcomes (qualified leads, booked appointments, closed deals).
For lead gen businesses especially, “a form fill” is often a weak proxy for revenue. You’ll usually maximize ROI faster by passing richer data back into Google Ads—either by importing offline conversions (like qualified/closed leads) or by upgrading to enhanced conversions for leads where applicable—so Smart Bidding can optimize toward what your sales team actually wants.
Modern measurement also needs to be durable in a privacy-first environment. Enhanced conversions for web can improve conversion measurement quality by securely hashing first-party customer data (like email/phone captured at conversion) and using it to improve matching. Practically, that often means better attribution and better bidding decisions—especially as browsers and consent choices reduce traditional cookie reliability. Plan for a “measurement maturation period”: you typically want a few weeks of stable data before you judge performance shifts.
Use conversion goals intentionally (primary vs. secondary, and campaign-specific goals)
One of the most common “why did performance tank?” stories is a well-meaning change to conversion goals. In Google Ads, you can group conversion actions into meaningful goal categories (for example, Purchase or Contact) and designate which actions are primary (used for bidding and shown in the main Conversions column) versus secondary (kept for observation).
Then decide whether each campaign should use the account-default goals or campaign-specific conversion goals. This is how you prevent cross-contamination. For example, your brand Search campaign might optimize to “Purchase,” while your YouTube/Demand Gen campaign might optimize to a higher-funnel action or a different lead type. The key is consistency: if you change goals frequently, Smart Bidding has to relearn, and you’ll feel that as volatility.
2) Maximize Search performance (where intent turns into revenue)
Build keyword coverage the way Google matches queries today
Search is still the highest-intent channel for most businesses, but it’s no longer about building massive keyword lists. It’s about creating clean intent clusters and letting your bidding and creative adapt to query nuances.
At a practical level, you should know exactly what each match type is doing. Broad match is the default and has the widest reach; phrase and exact give you more control. The modern unlock is that broad match becomes far more predictable when paired with Smart Bidding, because bids are set using real-time context signals at auction time. That combination often lets you expand into profitable long-tail demand you’d never manually enumerate.
To keep that expansion profitable, your weekly habit should be reviewing the search terms that actually triggered your ads. This is where you’ll identify new high-intent queries to build around, and irrelevant queries to block.
- Weekly non-negotiables (Search demand control): review search terms, add negatives only where you’re sure the intent is wrong, and promote proven search terms into dedicated ad groups when volume justifies it.
- Don’t “negative keyword” your way into smaller results: aggressive negatives can strangle Smart Bidding’s ability to find incremental conversions. Use negatives to remove truly irrelevant intent, not to micromanage every variation.
Use responsive search ads like a testing system (not copywriting homework)
Your ads are not a single message anymore—they’re a set of assets Google assembles into the best combination for each auction. That’s why responsive search ads (RSAs) are the standard: they’re designed to adapt to user intent shifts without you constantly rewriting ads.
In account after account, the simplest way to lift performance is improving RSA asset variety and relevance until you reach Good or Excellent ad strength in each meaningful ad group. Ad strength is not a “quality score,” but it is a very useful compass: it pushes you toward enough unique headlines/descriptions to create strong combinations, and it flags common issues like repetitive assets or over-pinning.
Pinning is a perfect example of a lever people overuse. Pinning reduces the number of possible combinations, which can limit performance. Use it only when you have a compliance requirement or a brand/legal constraint, and even then, give the system multiple pinned options per position when possible so it still has room to optimize.
Pick bidding strategies that match your data reality (then set targets carefully)
Most businesses maximize ROI fastest when they move to conversion-based bidding: Maximize conversions (optionally with a target CPA) or Maximize conversion value (optionally with a target ROAS). The “optional target” matters: if your target is set too aggressively, you can force the system to stop entering auctions it would otherwise win profitably, leading to lower volume and unstable learning.
When you’re using Maximize conversions or Maximize conversion value, understand that these strategies are designed to spend the daily budget you’ve assigned—so “limited by budget” is often inherent to how the strategy operates. Instead of fixating on generic budget-loss diagnostics, use planning and simulation tools and your actual marginal CPA/ROAS to decide whether more budget will scale profitably.
If you’re earlier-stage (low conversion volume), you can still maximize results by staging your approach: start with cleaner conversion definitions, improve landing page conversion rate, and only then tighten CPA/ROAS targets once performance is stable.
3) Scale beyond Search with automation (without losing control)
Performance Max: treat it like a portfolio, not a black box
Performance Max (PMax) can be a major growth engine because it runs across multiple inventories and uses creative assets plus signals to find converting users. The way to “maximize” it is to give it excellent inputs, then evaluate it at the level you can act on: asset groups, assets, audiences, and conversion goals.
Start by structuring asset groups around real business themes (product category, service line, margin tier, or audience intent). Build each asset group with enough creative variety so the system can assemble strong ads across placements. If you don’t upload video, the platform may auto-generate one from your other assets, so if brand presentation matters, it’s usually worth supplying at least one intentional video per theme.
Audience signals are a strong accelerator, especially early in a campaign. They are not strict targeting; they’re suggestions that help the system learn faster. Use first-party lists (past purchasers/leads), custom segments based on high-intent searches, and in-market style signals to guide learning—then let the campaign expand beyond those signals if it can do so profitably.
Control the traffic you must control (brand traffic and brand safety)
A common complaint is “PMax is spending on my brand terms.” If you want to reduce brand-query exposure, you have multiple control options, but you need to choose the right one.
For brand management, brand exclusions are often the cleaner tool than negative keywords because they can block common misspellings and variants more comprehensively. Save negative keywords for situations where you truly need to prevent ads from appearing for specific irrelevant or brand-unsafe queries—because negatives are a restrictive control and can unintentionally block valuable discovery.
Use assets (formerly extensions) to lift CTR and conversion rate at the same CPC
In competitive auctions, your easiest win is often not “bidding higher,” but making your ads more helpful. Assets can increase your visible real estate, qualify clicks, and improve engagement—often without increasing your cost per click the way a bid increase would.
Sitelinks are one of the highest-impact assets because they create multiple entry points into your site. The best-performing accounts build sitelinks at the account level first (so coverage is strong), then override with campaign/ad group/asset group sitelinks where intent differs. Add descriptions when possible, because richer sitelinks unlock additional formats and can improve performance.
Structured snippets help you pre-qualify users by showing categories, services, brands, or features under a header. Use them to reduce wasted clicks (“Oh, they don’t offer that”) and to nudge the right click (“Yes, they have exactly what I need”).
Finally, make visuals part of your Search strategy. Image assets—and where appropriate, dynamic image assets—can materially improve ad engagement by making your text ads look and feel more like product/service previews. The best practice here is simple: provide multiple unique, high-quality images in the right aspect ratios so the system has options across devices.
Make optimization score and recommendations work for you (not the other way around)
Optimization score is a useful prioritization tool: it estimates how well your account is set up to perform and shows recommendations with predicted uplift. It is not a promise of profit, and chasing 100% blindly is one of the fastest ways to apply irrelevant changes.
The expert workflow is to review recommendations routinely, apply the ones aligned with your strategy, and dismiss the ones that don’t fit your business model or tracking reality. Also note a practical nuance: recommendation “cards” typically remain until you either apply or dismiss all items in that card; partially applying a bundle can leave clutter that confuses teams and stakeholders. When you dismiss recommendations at the account level, that recommendation type can be suppressed for a period of time—useful when you’re intentionally not pursuing a given approach for a while.
Keep scaling with disciplined testing (so improvements compound)
Maximizing Google Ads is rarely about one big change; it’s about stacking small, validated gains. Run controlled tests on one variable at a time: bidding targets, landing pages, new creatives, new keyword expansion, or new asset group themes. The goal is to turn your account into an optimization machine where every month you learn something that permanently improves your baseline performance.
If you want a simple cadence that works for most businesses: evaluate budgets and impression opportunity weekly, review search terms and creative quality weekly, adjust conversion goals and bidding targets monthly (not daily), and run at least one meaningful experiment at any given time so you’re always learning your next scalable win.
