Google Ads Account Architecture

How you structure a Google Ads account in the first 90 days determines how easily you can scale, optimize, and learn from it for the next 5+ years. This module covers what the right account architecture looks like in 2026, the decisions that compound, and the patterns that get baked in if you skip them.

1. Why account architecture is the highest-leverage decision you make

Every other paid search decision — bid strategy, ad copy, keywords, audiences, conversion tracking — depends on the architecture. Get the architecture right and everything downstream becomes easier. Get it wrong and you spend years fighting your own structure.

Three things compound based on architecture:

1. Learning. Smart Bidding learns from conversions at the campaign level. If your campaigns mix audiences with different values, the algorithm cannot find an efficient optimum. The classic mistake is one big campaign with everything in it; the classic correction is splitting into structurally distinct conversion-value tiers.
2. Budget control. Budgets attach to campaigns. If you want to ring-fence brand-term spend separately from non-brand, that requires separate campaigns. If you want to test a new geo without cannibalizing existing performance, that requires a separate campaign (or location settings within one). Wrong campaign-level grouping means you cannot budget the way you want.
3. Reporting and optimization speed. The fastest accounts to optimize are the ones where one query in the Google Ads UI shows you exactly which segment is winning and losing. Bad architecture means you cannot answer "is paid-brand profitable?" or "are we underspending on Shopping for premium SKUs?" without a custom report or BigQuery export.

2. The MCC (Manager Account) hierarchy

An MCC (Manager Account) is a Google Ads parent account that holds multiple child accounts. Originally designed for agencies, MCCs are now standard for any business with more than one paid-search use case — multi-brand companies, multi-region accounts, multi-vertical product lines, or even single-brand businesses that want to separate learning campaigns from scaled campaigns.

When to use a single account vs an MCC

Single account: One brand, one currency, one billing relationship, one set of conversions, one team operating it. Most small and mid-market businesses run a single account for years before they need MCC.

MCC with multiple child accounts: Use MCC when any of the following are true:

• You operate multiple brands and want clean separation of brand-term spend, conversion data, and reporting.
• You operate in multiple currencies (each account is single-currency — you cannot run USD and EUR in one account).
• You have distinct business units with different P&Ls and the CFO wants separate billing.
• You want one account dedicated to experimentation (geo holdouts, structure tests, copy tests) without contaminating your scaled account's learning.
• You want to grant access to external agencies without granting access to other parts of your operation.
• You operate at scale (typically $1M+/month) and want to use cross-account negative keyword lists, cross-account audience sharing via MCC, and unified reporting.

MCC permissions and access levels

Google Ads MCC supports five access levels (in increasing privilege):

1. Email-only: receives reports and alerts but cannot log in.
2. Read-only: can view but cannot edit.
3. Standard: can edit campaigns but cannot invite users.
4. Admin: can edit and manage users.
5. Manager (MCC-level only): can manage child account links.

For security, never grant Admin access to anyone outside your operating team. Agencies should get Standard or Read-only at minimum, and they should access through their own MCC (link client account to their MCC), not via individual user invites — this lets them rotate staff without you needing to re-grant access each time.

3. The five-level account hierarchy

Inside an account, Google Ads has five levels:

What this means for design

Campaigns are the unit of budget and bidding. Ad groups are the unit of relevance and creative. This is the single most important thing to internalize when designing structure.

Practical implications:

• If you want different budgets, use different campaigns.
• If you want different bid strategies, use different campaigns.
• If you want different conversion goals, use different campaigns.
• If you want different ad copy or landing pages, use different ad groups.
• If you want different audience signals on the same keywords, you cannot — audiences attach to ad groups; use audience-tier campaigns instead.

4. Campaign types in 2026 and when to use each

Google Ads supports the following campaign types as of 2026:

1. Search — keyword-triggered text ads on Google Search and Search Partners. The bread-and-butter campaign type for intent capture.
2. Performance Max (PMax) — multi-channel automated campaign that serves across Search, Shopping, Display, YouTube, Discover, Maps, and Gmail. Asset-based, goal-driven, audience-signal-informed.
3. Shopping (standard) — product-feed-based campaigns showing product listings. Most usage migrated to PMax since 2022-2023, but standard Shopping remains for inventory experiments and bid-control needs PMax does not offer.
4. Display — image and responsive display ads across the Google Display Network. Mostly used for remarketing now; new prospecting Display is mostly absorbed by PMax.
5. Video / YouTube — in-stream, in-feed, bumper, non-skippable. Awareness through performance — Video Action Campaigns (VAC) and Video Reach Campaigns (VRC).
6. Demand Gen (replaced Discovery 2024) — visual ads across YouTube Shorts, YouTube in-feed, Discover, and Gmail. Designed to compete with Meta/TikTok for visual-prospecting use cases.
7. App — for app install and engagement campaigns. Heavy automation; minimal creative inputs.
8. Local Services Ads (LSA) — lead-generation ads for service businesses (plumbers, lawyers, etc.), with verified-business badging and pay-per-lead pricing.
9. Smart Campaigns — simplified campaigns for small businesses with minimal controls. Avoid for any business that wants meaningful optimization.

How to choose between Search and Performance Max

This is the single biggest campaign-type question. Google's official recommendation is to use both: Search for branded and high-intent non-brand terms where you want explicit keyword control, and PMax for everything else.

The practical decision framework:

5. The three dominant structural patterns

SKAG (Single Keyword Ad Group)

SKAG was the dominant structure 2014-2019. The pattern: one keyword (or one keyword in exact/phrase/broad-match-modifier variants) per ad group, with ads tightly relevant to that keyword. Goal: maximum ad-keyword relevance and Quality Score.

SKAGs were optimized for the world before:

• Close variant matching (which auto-matches typos, plurals, related queries to your exact-match keywords)
• Responsive Search Ads (RSAs), which automatically combine headlines and descriptions
• Smart Bidding, which decides bids based on user signals, not ad-group-level CPC settings

SKAGs are mostly dead in 2026. Google's match-type changes (2018-2021) made SKAGs leaky — your exact match keyword now matches related queries that should be in other ad groups. Building 500 ad groups means managing 500 ad groups; the maintenance burden exploded.

Themed / STAG (Single-Theme Ad Group)

STAGs cluster keywords by intent theme rather than by exact keyword. A campaign for "running shoes" might have ad groups for "men's running shoes," "women's running shoes," "trail running shoes," and "marathon running shoes" — each containing 5-15 closely-related keywords.

This is the dominant pattern in 2026 because it matches how RSAs and Smart Bidding work: RSAs need enough query volume to test headline combinations; Smart Bidding needs enough conversion volume to find an optimum. STAGs cluster queries to give both enough data.

Hagakure / consolidated structure

The Hagakure structure (popularized by Google's Yusuke Tomonari) goes further: fewer, broader ad groups with more keywords per group, optimized for Smart Bidding to operate freely. The argument: if Smart Bidding decides bids at the query level based on signals, ad-group-level keyword segmentation matters less; what matters more is feeding the algorithm enough conversion data per campaign.

Hagakure works well when you have a few clear conversion-value tiers, high conversion volume, and you trust Google's automation. It does not work well when you need to use ad-group-level negatives, different ad copy for different intent themes, or different landing pages per intent.

6. Naming conventions that survive scale

Naming conventions are boring and critical. A bad naming convention starts adding maintenance debt the day you scale past 5 campaigns. Here is a battle-tested pattern.

Campaign naming template

The structure separates the variables you might filter on in reporting. Want to compare US-NB performance to UK-NB? You can filter campaign names easily. Want to see all PMax across geos? Same.

Ad group naming template

Conversion action naming

Conversion action names should signal both what the action is and which account is tracking it:

7. Conversion architecture — the hidden lever

Conversion architecture is the most-skipped, highest-leverage part of account setup. Two facts to internalize:

1. Google bid strategies optimize toward conversion value, not conversion count. Target ROAS bidding optimizes spend toward queries likely to deliver high-value conversions; Maximize Conversions optimizes toward count.
2. Google now optimizes at the account level by default. Since 2023, the default behavior is that all conversion actions marked "include in Conversions" influence Smart Bidding across all campaigns. You can override this per campaign.

Conversion goals: account vs campaign

Google Ads UI lets you select which conversion goals each campaign optimizes toward. Three architectural options:

• Account-level (default): Every campaign optimizes toward every conversion action marked "Include in Conversions." Simplest but blunt — a lead-gen campaign and an e-commerce campaign optimize toward the same blended goal.
• Campaign-level overrides: Each campaign explicitly picks which conversion actions to optimize toward. Use this when you have multiple distinct conversion types (purchases, leads, trials, app installs) that need different optimization.
• Custom conversion goals: Group multiple conversion actions into a named goal (e.g., "Demo-Booked" combining demo-request and demo-confirmed events) and assign it to campaigns. Useful for multi-step conversion paths.

Value-based bidding readiness

For Target ROAS bidding to work, you need:

1. Conversion values being passed in (not just counts). For e-commerce, this means revenue from the GA4/CAPI/Enhanced Conversions integration. For lead gen, this means modeled values or value rules per lead source/type.
2. Sufficient conversion volume. Google's rule of thumb: at least 50 conversions per campaign in the past 30 days, ideally 100+.
3. Conversion data quality. Garbage conversions in → garbage bidding out. If 30% of your conversions are spam form fills, Smart Bidding optimizes toward spam.

8. Negative keyword strategy at each level

Negative keywords are how you tell Google what not to spend on. The architecture matters: where you place a negative determines what it blocks.

The brand/non-brand separation pattern

This is the most-leveraged negative keyword pattern. The architecture:

1. Build a "Brand Terms" negative keyword list containing all variations of your brand name (with broad match modifier).
2. Apply this list to all non-brand campaigns. This prevents your non-brand bidding from spending on queries that contain your brand name (which would otherwise be picked up via broad-match expansion).
3. Use the converse: in your Brand campaign, add competitor brand names as negatives if you want to ensure clean attribution.

Search-query report (SQR) workflow

The single most-leveraged optimization activity in any Google Ads account is the weekly search-query report review. The workflow:

1. Run the Search Terms report at the account level, filtered to last 7 days.
2. Sort by spend descending.
3. For each term, decide: keep it (move to a positive keyword in the right ad group), block it (add as negative at the right level), or watch it.
4. Repeat weekly. New search terms appear constantly as Google's close-variant matching expands.

9. Shared library: bidding strategies, audiences, budgets, exclusions

The Shared Library is one of the most underused parts of the Google Ads UI. It holds resources that can be applied to multiple campaigns:

• Audiences — first-party Customer Match lists, GA4-imported audiences, similar audiences, in-market audiences, affinity audiences. Apply at the ad-group level as observation (for bid modifiers and reporting) or targeting (to restrict serving).
• Negative keyword lists — the central place to manage brand-protection lists and category exclusions.
• Bid strategies — portfolio bid strategies that span multiple campaigns. Useful when you want one Target ROAS shared across all Brand campaigns.
• Placement exclusions — URLs, apps, channels, categories to exclude from Display, YouTube, and PMax. Critical for brand safety.
• Account-level negative location targeting — geos you never want to serve.
• Business data feeds — dynamic data for sitelinks, structured snippets, Dynamic Search Ads page feeds.

10. The 9 most common architectural mistakes

11. Anti-patterns: what NOT to do

12. Migration patterns — restructuring an existing account

The architectural decisions in this module mostly apply to building a new account. What if you inherit a mess? The restructuring playbook:

Phase 1: Audit (1-2 weeks)

1. Run the Account Performance Grader (Optmyzr, WordStream, or PPC Signal) to identify obvious problems.
2. Map current account structure: campaigns, budgets, bid strategies, audiences, conversion actions.
3. Run search-query reports at the account and campaign level for the last 90 days.
4. Identify the 20% of spend driving 80% of waste.

Phase 2: Stabilize (2-4 weeks)

1. Fix conversion tracking first. Implement Enhanced Conversions if not already in place. Confirm conversion values are flowing.
2. Apply the brand-term negative list to all non-brand campaigns.
3. Clean up the search-query reports: bulk-add negatives for the top wasted-spend queries.
4. Consolidate redundant campaigns (e.g., 5 campaigns serving the same audience with the same budget can become 1).

Phase 3: Restructure (4-8 weeks)

1. Build the new structure in parallel. Do NOT delete the old structure until the new one is performing.
2. Use experiment campaigns (Google Ads Experiments feature) to split traffic 50/50 between old and new structures.
3. Once new structure outperforms old (or matches with better bidding-flexibility), migrate budget over weeks.
4. Archive old campaigns (don't delete — historical data is valuable).

Wrap-up: the architecture decision tree

If you are designing a new account from scratch, walk through this decision tree:

1. One account or MCC? One brand + one currency = single account. Multiple brands/currencies/business units = MCC.
2. What are your campaign types? Most accounts: Search (Brand) + Search (Non-Brand) + PMax (or Shopping). Add Demand Gen for visual prospecting, Video for awareness, App for app installs.
3. How many campaigns per type? Split by conversion-value tier, by geo, by major audience segment, or by budget-control requirement. Avoid splitting just to split.
4. How many ad groups per campaign? Aim for 3-15 ad groups per campaign. Each ad group should have a clear intent theme, 5-15 keywords, 3-5 RSAs, and observation audiences attached.
5. Naming? Apply your campaign and ad group naming template before launching anything.
6. Bidding? Smart Bidding (Target ROAS or Target CPA, depending on whether you have conversion-value tracking). Manual CPC only for very small or very specific campaigns.
7. Conversions? Account-level by default; campaign-level overrides if you have distinct conversion types.
8. Negatives? Account-level brand-safety list + Brand-protection list applied to non-brand campaigns + weekly SQR review.
9. Shared library? Set up audiences (Customer Match, GA4 imports), negative keyword lists, and placement exclusions before launching.

Quick reference: the “good architecture” checklist