Inside the Strategy Google Reserves for Top Advertisers

There's a tier of Google Ads strategy that almost nobody outside Google's biggest advertisers sees. Our team spent 10+ years inside Google as Senior Account Strategists, sitting in the rooms where this strategy gets shared — usually in private workshops with $10M+ annual spend accounts.

Most of this advice never makes it to public Google blogs, Google Ads Help docs, or YouTube tutorials. Some of it actively contradicts the official guidance Google's reps give to small advertisers.

Here's what I wish every SMB knew about how Google Ads actually works at the top.

1. The "Smart Bidding default" is optimized for Google's revenue, not yours

This is the most uncomfortable thing I learned inside Google. The default bidding recommendations Google's reps give to advertisers — almost always "Maximize Conversions" or "Maximize Conversion Value" — are revenue-maximizing for Google, not necessarily for you.

Why? Because those strategies push CPCs upward across the auction. Higher CPCs = more Google revenue. The advertiser's per-conversion cost goes up, but conversion volume can also go up, so the metric Google reports (conversions) shows improvement even when efficiency drops.

What Tier-1 advertisers do instead: they use Target CPA or Target ROAS with mathematically calibrated targets based on their margin structure. They set the target so that Google has to find efficient conversions, not just any conversions.

The mental model: Google's algorithm WILL hit any target you set if it's mathematically achievable. The advertisers who win set targets that protect their margins. The ones who lose let Google set the targets implicitly via "Maximize" strategies.

2. Match types are no longer match types — they're match suggestions

Google publicly states that exact match means "exact match (with close variants)." That's the technical definition. The functional reality is different.

Internally, the joke among account strategists was that exact match in 2024+ behaves like phrase match did in 2018. Phrase match behaves like broad match did in 2015. And broad match behaves like... well, basically everything.

This isn't a conspiracy. It's a deliberate algorithmic shift toward "intent matching" instead of "term matching." Google's argument: users don't search the way you write keywords, so matching needs to be flexible.

What Tier-1 advertisers do: they use search-term-level negative keywords as a tighter control mechanism than match types. They review search terms reports weekly. They build cumulative negative lists at the account level. They treat match types as starting suggestions, not boundaries.

If your account has fewer than 200 negative keywords, you're trusting Google's matching to be precise. It isn't.

3. Quality Score is mostly a vanity metric — Ad Strength matters more

Quality Score is the metric advertisers obsess over because Google shows it prominently. But internally, account strategists rarely look at it. The metric that actually drives auction outcomes in 2024+ is Ad Strength combined with Expected CTR predictions — both of which are continuously updated and far more dynamic than Quality Score.

What Tier-1 advertisers do: they ignore Quality Score entirely. They focus on:

• Maintaining "Good" or "Excellent" Ad Strength on every responsive search ad
• Adding 15+ headlines and 4 descriptions per RSA (Google needs the variety to optimize)
• Running aggressive A/B tests on landing pages because page experience directly affects bidding

A 1-point improvement in Ad Strength typically beats a 2-point improvement in Quality Score for actual auction performance.

4. Customer Match data is the highest-value first-party signal

Google publicly recommends Customer Match. What's understated: it's not just useful for retargeting — it's the single highest-value signal for the bidding algorithm.

When you upload customer match data (your existing customers' emails), Google's algorithm uses that list to find lookalike audiences across all of Google's surfaces. The algorithm essentially asks: "Who else looks like these customers?" and bids to find them.

What Tier-1 advertisers do: they upload customer lists segmented by value tier. Free trial users → one list. Paid customers → another. High-LTV customers → a third. They use these lists as audience signals across all campaigns. The algorithm gets specific about who's worth chasing.

Most SMB accounts upload either nothing or one big customer list. The segmentation matters more than the upload.

5. The "auto-applied recommendations" feature is mostly a trap

You've seen the prompt: "We applied 47 recommendations to your account this month." It feels productive. It's almost always counterproductive.

Auto-applied recommendations include things like:

• Adding broad match variants (increases your CPCs)
• Removing negative keywords (more spend)
• Increasing budgets (obviously more spend)
• Switching to "value-based bidding" (regardless of whether you're tracking values correctly)

These recommendations are generated by Google's algorithm to optimize for what Google's algorithm cares about: keeping advertisers spending. Sometimes they align with your interests. Often they don't.

What Tier-1 advertisers do: they turn off auto-apply for everything except basic keyword variant additions and ad strength suggestions. Strategic decisions stay with humans.

How to disable: Tools → Recommendations → Auto-apply settings → uncheck most categories.

6. Performance Max should rarely be your only campaign type

Google's reps push Performance Max hard because it's their flagship product and the future of the platform. The pitch: "Let our AI handle everything across all surfaces."

Reality at Tier-1 level: PMax is rarely run as a sole campaign type. It's almost always paired with manual Search campaigns that protect specific high-value queries. Brand defense runs separately. Remarketing runs separately. PMax handles what's left.

Why? Because PMax has a fundamental "averaging" problem. It optimizes across surfaces by averaging performance — meaning your best converting query gets the same bidding logic as your worst. Manual Search campaigns let you bid aggressively on the proven winners while PMax handles discovery.

The structure to copy: 1 brand campaign, 2-4 search campaigns by buyer intent type, 1 PMax for asset-driven discovery. Not 1 PMax doing everything.

7. The "Loyalty" feature is underrated

Buried deep in Google Ads is a feature called Customer Match Loyalty Reach. It's not promoted in standard onboarding because it's complex to set up properly.

What it does: identifies users who have engaged with your brand multiple times across Google's surfaces (search, YouTube, Discover) and lets you bid more aggressively to convert them.

What Tier-1 advertisers do: they identify the conversion-likelihood lift of repeated engagement and bid 2-5x higher for these users. The math: someone who has searched your brand 3+ times is 4-7x more likely to convert than a first-time visitor. Most accounts bid the same on both.

This isn't easy to set up. Audience Manager → Customer Match → loyalty rules. But for accounts with $10K+/month spend and a brand that buyers research before purchasing, the impact is significant.

8. Google's "best practices" are aimed at maximizing platform usage, not your ROI

The Google Ads "Optimization Score" (the percentage shown on every account dashboard) recommends actions that, when implemented, mostly increase your spend.

Tier-1 advertisers ignore Optimization Score. They build their own internal scorecards measuring:

• CPA / CAC by channel and campaign
• Lifetime value of acquired customers
• Quality of acquired leads (judged by sales team)
• Pipeline contribution at 30/60/90 day windows

If your account has 95% Optimization Score and rising CPA, that's a clearer signal of misalignment than a 70% score with falling CPA.

What to take from this

You don't need to be a $10M+ advertiser to apply these principles. The structural advice — calibrated bid targets, ignoring auto-apply, layering campaigns instead of relying on PMax alone, proper Customer Match segmentation — applies at every spend level.

The advantage Tier-1 advertisers have isn't access to better tools. It's access to context: people who understand WHY Google's defaults exist and when to override them.

That's exactly the gap MyLeadsFactory fills. We give SMBs the same strategic guidance Google's biggest advertisers get from internal account strategists — because we used to be those internal account strategists.

See it applied to your account

If any of this resonated, we offer free audits. We pull up your account, walk through these principles, and show specifically where your setup is following the public default vs. where it's been calibrated for your business.

It's a 30-min Loom recording. Yours to keep, no pitch.

You'll know within minutes whether your current configuration is optimized for your goals — or quietly optimized for Google's revenue.