A well-structured Google Ads account is the foundation of scalable, profitable advertising. Poor structure creates management headaches, obscures performance insights, and limits optimization opportunities. Good structure makes the right data visible, enables granular control where needed, and scales efficiently as your advertising grows. Yet many advertisers treat account structure as an afterthought, paying the price in wasted spend and missed opportunities for months or years before restructuring.
This guide covers everything you need to know about Google Ads account structure in 2026, from the fundamental hierarchy to advanced organizational strategies used by agencies managing millions in ad spend. Whether you're setting up your first account or restructuring an existing one, you'll find actionable frameworks for organizing campaigns, ad groups, and assets for maximum performance and minimum management overhead.
Understanding the Google Ads Hierarchy
Google Ads organizes advertising assets in a strict four-level hierarchy: Account, Campaign, Ad Group, and Ads/Keywords. Each level controls specific settings and targeting options that cascade down to lower levels. Understanding what's controlled at each level is essential for making informed structural decisions.
Account Level
The account is your top-level container, tied to a single Google account and billing profile. Account-level settings affect everything beneath them and include:
- Billing and payment: Payment method, billing threshold, invoicing settings
- User access: Who can view, edit, or manage the account and at what permission level
- Account-level automated rules: Rules that apply across all campaigns
- Negative keyword lists: Shared lists that can be applied to multiple campaigns
- Shared budgets: Budget pools that multiple campaigns can draw from
- Audience lists: Remarketing and customer lists available to all campaigns
- Conversion tracking: Goals and conversion actions used for optimization
For most businesses, a single Google Ads account suffices. Consider multiple accounts when you need separate billing (different business entities or regions), want complete data isolation, or operate distinct businesses with no shared audiences. Multiple accounts are managed through an MCC (Manager Account), which we'll cover later.
Campaign Level
Campaigns are the primary organizational unit for targeting and budget control. Each campaign has a single objective and network type, with settings that apply to all ad groups within it:
- Campaign type: Search, Display, Shopping, Video, Performance Max, etc.
- Budget: Daily or shared budget allocation
- Bidding strategy: Manual CPC, Target CPA, Maximize Conversions, etc.
- Geographic targeting: Countries, regions, cities, or radius targeting
- Language targeting: Languages of users you want to reach
- Ad schedule: Days and times when ads can show
- Device targeting: Bid adjustments for mobile, desktop, tablet
- Network settings: Search partners, Display Network inclusion
- Audience targeting: Observation or targeting of audience segments
Create new campaigns when you need different settings at this level. If you want different budgets for different product lines, those need separate campaigns. If you target multiple countries with different budgets or bidding strategies, each country needs its own campaign. The campaign boundary is where you draw lines between fundamentally different advertising objectives.
Ad Group Level
Ad groups organize your ads and keywords (or targeting criteria for Display/Video) into themed clusters. This is where relevance optimization happens. Settings at this level include:
- Keywords: Search terms you're bidding on (Search campaigns)
- Ads: The actual ad creative shown to users
- Default bid: Starting bid for keywords without individual bids
- Audience targeting: Narrow or observe specific audience segments
- Demographic targeting: Include or exclude age, gender, income groups
- Placement targeting: Specific sites or apps (Display campaigns)
- Topics and interests: Contextual targeting for Display
The ad group is where keyword-to-ad relevance is determined. Keywords in an ad group trigger ads from that same ad group, so tightly themed groupings improve Quality Score by ensuring ad copy matches search intent. This is why ad group structure has such a significant impact on Search campaign performance.
Ad and Keyword Level
The bottom level contains your actual advertising assets: the keywords you bid on and the ads users see. Individual keywords can have their own bids that override ad group defaults. Each ad group should contain multiple ad variations to enable testing.
- Keywords: Individual search terms with match types (broad, phrase, exact)
- Keyword bids: Override default ad group bid for specific keywords
- Ads: Responsive Search Ads, Display ads, Video ads, etc.
- Ad extensions/assets: Sitelinks, callouts, structured snippets, etc.
- Final URLs: Landing pages for each ad
Campaign Structure Strategies
How you divide your advertising into campaigns depends on your business model, budget, and optimization goals. Here are the primary ways advertisers organize campaigns, with guidance on when each approach makes sense.
Structure by Marketing Objective
The most fundamental division is by what you're trying to achieve. Different objectives require different bidding strategies, budgets, and success metrics:
| Objective | Campaign Type | Bidding Strategy | Key Metrics |
|---|---|---|---|
| Brand awareness | Display, Video | Target CPM, Maximize Reach | Impressions, reach, brand lift |
| Consideration | Video, Discovery | Maximize Clicks, Target CPV | Views, clicks, engagement |
| Lead generation | Search, Performance Max | Target CPA, Maximize Conversions | Conversions, CPA, lead quality |
| E-commerce sales | Shopping, Performance Max | Target ROAS, Maximize Conv Value | Revenue, ROAS, transactions |
| App installs | App campaigns | Target CPI, Target CPA | Installs, in-app actions |
Keep objective-based campaigns separate because they compete differently in auctions and require different optimization approaches. A brand awareness campaign optimizing for reach shouldn't share budget with a direct response campaign optimizing for conversions.
Structure by Product or Service Line
For businesses with diverse offerings, organizing campaigns by product line enables budget allocation that reflects business priorities. An e-commerce retailer might have separate campaigns for each major product category; a SaaS company might separate by product tier or feature set.
- Pros: Budget control per product, clear performance attribution, easy to scale high performers
- Cons: Can fragment data if too granular, increases management complexity
- Best for: Businesses with diverse margins, seasonal products, or product-specific budgets
Structure by Geographic Market
International advertisers often need separate campaigns per country or region. Different markets have different CPCs, competition levels, and sometimes require different languages or currencies.
- Pros: Market-specific budgets and bidding, language customization, timezone-appropriate scheduling
- Cons: Multiplies campaign count significantly, can fragment data for small markets
- Best for: Multi-country advertisers with meaningful budget in each market
Structure by Funnel Stage
Some advertisers organize campaigns around the customer journey, with different campaigns for awareness, consideration, and decision stages:
| Funnel Stage | Campaign Focus | Typical Targeting |
|---|---|---|
| Top of funnel (TOFU) | Broad awareness, problem education | Display prospecting, YouTube reach, broad keywords |
| Middle of funnel (MOFU) | Solution consideration, comparison | In-market audiences, competitor terms, category keywords |
| Bottom of funnel (BOFU) | Purchase intent, conversion | Brand terms, high-intent keywords, remarketing |
This approach works well when combined with other structures. You might have both a product-line structure AND a funnel distinction within each product line.
Ad Group Structure: SKAG vs STAG in 2026
The debate between Single Keyword Ad Groups (SKAG) and Single Theme Ad Groups (STAG) has evolved significantly as Google's machine learning has improved. Understanding when each approach makes sense helps you balance relevance with operational efficiency.
The Case for SKAGs (And When They Still Work)
SKAG structure places one keyword (in all match types) in its own ad group with highly specific ad copy. This was the gold standard for years because it maximized relevance between keyword and ad, directly improving Quality Score.
| SKAG Advantages | SKAG Disadvantages |
|---|---|
| Maximum keyword-to-ad relevance | Fragments data across many ad groups |
| Precise bid control per keyword | Management overhead grows exponentially |
| Clear performance attribution | Close variants trigger across multiple SKAGs anyway |
| Easy to pause underperformers | Machine learning needs data volume to optimize |
In 2026, SKAGs make sense only for your highest-value, highest-volume keywords where the management overhead is justified by the performance impact. This might be 10-20 keywords at most for a typical account. For everything else, STAG structure provides better results with less work.
Single Theme Ad Groups (STAG): The Modern Approach
STAG structure groups 5-15 closely related keywords around a single search intent theme. Keywords in a STAG should be semantically similar enough that the same ad copy feels relevant to all of them. This approach has become dominant because:
- Close variant matching: Google shows your ads for close variants regardless of structure, so granular separation provides diminishing returns
- Machine learning needs volume: Smart Bidding and RSAs optimize better with more data per ad group
- RSAs handle variation: Responsive Search Ads dynamically match headlines to queries, reducing the need for keyword-specific ad copy
- Manageable at scale: Fewer ad groups means easier auditing, optimization, and reporting
STAG Best Practices
Building effective STAGs requires thoughtful keyword grouping. Here's how to get it right:
| STAG Principle | Example |
|---|---|
| Group by search intent | "buy running shoes", "running shoes for sale", "purchase running sneakers" = same intent |
| Separate by modifier | "cheap running shoes" vs "best running shoes" = different intent, different STAGs |
| Keep ad copy relevant | All keywords in a STAG should make sense with the same headlines |
| Target 5-15 keywords | Enough variety for data, not so many that themes become diluted |
| Use one primary match type | Typically phrase or exact; broad match in its own ad group for discovery |
When building STAGs, start with your highest-volume keywords and group variations around them. Use Google's keyword planner to identify related terms, then evaluate whether they share enough intent to warrant the same landing page and ad messaging. If you'd want meaningfully different ad copy, they belong in different STAGs.
MCC (Manager Account) Structure
A Manager Account (formerly My Client Center or MCC) is a master account that oversees multiple Google Ads accounts. MCCs are essential for agencies and beneficial for enterprises with complex advertising needs.
When to Use an MCC
- Agency model: Managing ads for multiple clients requires an MCC
- Multi-brand businesses: Separate accounts for distinct brands with separate billing
- International operations: Accounts per country with local currency billing
- Franchise operations: Central oversight with local account autonomy
- Testing environments: Separate test account from production
MCC Structure Best Practices
MCCs can be nested up to 5 levels deep, enabling sophisticated organizational hierarchies:
| Structure Type | Example Hierarchy | Use Case |
|---|---|---|
| Flat structure | MCC > Accounts | Small agencies, simple multi-brand |
| Regional structure | MCC > Region MCCs > Country Accounts | Global enterprises |
| Client type structure | MCC > Enterprise MCC + SMB MCC > Accounts | Agencies with tiered service |
| Brand structure | MCC > Brand MCCs > Market Accounts | Multi-brand portfolios |
MCC Features Worth Using
- Cross-account reporting: Consolidated performance views across all managed accounts
- Shared negative keyword lists: Create once, apply to multiple accounts
- Shared audience lists: Remarketing lists available across accounts (with data sharing enabled)
- User management: Centralized access control with inheritance to child accounts
- Bulk operations: Make changes across multiple accounts simultaneously
- Labels: Tag accounts for filtering and reporting at the MCC level
Labels: The Cross-Cutting Organization Layer
Labels are custom tags that let you categorize and filter campaigns, ad groups, ads, and keywords across your account hierarchy. Unlike the rigid parent-child relationships of campaigns and ad groups, labels provide flexible categorization that spans multiple branches of your account tree.
Effective Label Strategies
| Label Category | Example Labels | Use Case |
|---|---|---|
| Seasonal/Promotional | Q4_2026, BlackFriday, Holiday | Track and manage seasonal campaigns across the account |
| Testing | TestA, TestB, Control, Winner | Track experiments and winning variations |
| Performance tier | Top10%, Optimize, Sunset | Quick filtering of high and low performers |
| Funnel stage | Awareness, Consideration, Conversion | Cross-campaign funnel reporting |
| Team ownership | TeamUS, TeamEU, ProductTeam | Filter by responsible team |
| Keyword intent | Branded, Generic, Competitor, Long-tail | Analyze performance by keyword type |
| Creative type | Video, Static, RSA, PMax | Track creative format performance |
Label Implementation Tips
- Create a label taxonomy: Document your label categories and naming conventions before implementation
- Use prefixes: Prefixes like "intent:" or "test:" make labels easier to filter and sort
- Don't over-label: Each label should serve a clear reporting or management purpose
- Review regularly: Archive or remove outdated labels to prevent clutter
- Automate with rules: Use automated rules to apply or remove labels based on performance thresholds
Naming Conventions That Scale
Consistent naming conventions make accounts navigable at scale. When you can understand what a campaign does from its name alone, you spend less time clicking through settings and more time optimizing performance.
Campaign Naming Framework
A proven naming format captures essential attributes in a consistent order:
[Network]_[Objective]_[Market]_[Target/Theme]_[Additional Detail]| Component | Options | Example |
|---|---|---|
| Network | Search, Display, Shopping, Video, PMax, App | Search_ |
| Objective | Brand, Lead, Sale, Awareness, Remarketing | Search_Lead_ |
| Market | US, EU, UK, Global, etc. | Search_Lead_US_ |
| Target/Theme | Product, audience, or keyword theme | Search_Lead_US_SoftwareDemo_ |
| Detail (optional) | Match type, test variant, etc. | Search_Lead_US_SoftwareDemo_Exact |
Ad Group Naming
Ad group names should clearly indicate the theme or target within the campaign context:
- For Search: Name by keyword theme (e.g., "project management software", "team collaboration tools")
- For Display: Name by targeting method (e.g., "In-market_PM_Software", "Remarketing_CartAbandoners")
- For Shopping: Name by product category or custom label (e.g., "Electronics_HighMargin", "Apparel_Clearance")
Naming Convention Documentation
Document your naming conventions in a shared location accessible to everyone who touches the account. Include:
- The naming format with each component explained
- Approved abbreviations and their meanings
- Examples of correct and incorrect naming
- Process for proposing new naming elements
- Who to contact with questions
Account Structure for Different Business Models
The right structure depends on your specific business. Here are proven frameworks for common scenarios.
E-commerce Account Structure
E-commerce accounts typically organize around product categories with separation between branded and non-branded traffic. A typical structure includes:
- Brand campaign: Exact match brand terms, high priority
- Shopping/PMax campaigns: Segmented by product category, margin, or inventory status
- Non-brand Search campaigns: Category and product-specific keywords
- Remarketing campaigns: Cart abandoners, past purchasers, product viewers
- Prospecting campaigns: Display and YouTube for new customer acquisition
For Shopping and Performance Max specifically, use custom labels in your product feed to segment by margin tier, bestseller status, or seasonal relevance. This enables budget allocation toward your most profitable products. Learn more about catalog optimization in our Shopping Ads guide.
Lead Generation Account Structure
Lead gen accounts focus on capturing qualified leads with structures that separate high and low intent traffic:
- Brand campaign: Company name, product names, exact match
- High-intent Search campaigns: Bottom-funnel keywords with strong purchase signals
- Competitor campaigns: Competitor brand terms (if pursuing this strategy)
- Category/solution campaigns: Mid-funnel problem and solution keywords
- Remarketing campaigns: Re-engage site visitors, form abandoners
- Display/Video campaigns: Awareness and consideration for top of funnel
For lead generation, Quality Score matters significantly for Search campaigns. Follow the principles in our Search Campaigns guide to maintain strong relevance between keywords, ads, and landing pages.
Local Business Account Structure
Local businesses need geographic precision combined with service-area coverage:
- Brand campaign: Business name plus location modifiers
- Service campaigns: One campaign per major service line with local targeting
- Local Search campaigns: "Near me" and location-specific keywords
- Google Business Profile campaigns: Smart campaigns tied to your Business Profile
- Local remarketing: Re-engage past customers and website visitors
Account Restructuring: When and How
Sometimes an existing account needs restructuring to improve performance or accommodate business changes. This is disruptive but sometimes necessary.
Signs You Need to Restructure
- Unclear budget allocation: You can't easily adjust budget for specific products or markets
- Mixed objectives: Campaigns contain ad groups with fundamentally different goals
- Data fragmentation: Too many campaigns with too little data each
- Management overhead: Simple changes require touching dozens of ad groups
- Reporting difficulty: Extracting business insights requires complex custom reports
- Quality Score issues: Low relevance between keywords and ads due to poor grouping
Restructuring Best Practices
- Plan before acting: Map out the new structure completely before making changes
- Preserve history when possible: Rename and reorganize rather than delete and recreate
- Phase the transition: Move campaign by campaign rather than everything at once
- Monitor closely: Restructuring resets learning; expect performance fluctuation
- Document changes: Keep a record of what changed and why for future reference
- Budget for learning: Allow extra budget during the transition for algorithm relearning
The best time to restructure is during a low-stakes period, like a seasonal lull. Avoid restructuring before peak seasons when you need stable, optimized campaigns. As you plan your restructure, consider how budget management will work with your new campaign organization.
Common Structure Mistakes to Avoid
Even experienced advertisers make structural mistakes. Here are the most common issues and how to prevent them:
- Mixing brand and non-brand: Always separate these. Brand campaigns artificially inflate metrics and hide true acquisition costs.
- Too many campaigns: More campaigns isn't better. Each campaign should have a distinct purpose and sufficient budget.
- Inconsistent naming: Random naming makes accounts unmanageable at scale. Establish conventions early.
- Ignoring negative keywords: Set up negative keyword lists at account level and apply them systematically across campaigns.
- Forgetting about the structure after setup: Account structure should evolve as your business and Google Ads capabilities change.
- Over-engineering ad groups: SKAGs made sense years ago. In 2026, they often hurt more than help by fragmenting data.
- No labels: Without labels, cross-cutting analysis requires manual reporting workarounds.
Structure for Emerging Campaign Types
Google continues introducing new campaign types that affect structural decisions. Performance Max and Demand Gen require different thinking than traditional Search or Display campaigns.
Performance Max Structure Considerations
Performance Max campaigns operate differently because they span all Google inventory. Key structural considerations:
- Fewer, larger PMax campaigns: PMax needs data volume to optimize. Consolidate where possible.
- Asset groups as ad groups: Structure asset groups by product theme or audience segment
- Coexistence with Search: Run dedicated brand Search alongside PMax to maintain brand control
- Product segmentation via feed labels: Use custom labels for PMax Shopping optimization
Future-Proofing Your Structure
As Google continues pushing automation and AI-driven optimization, account structure trends toward simplification. Principles that will remain relevant:
- Clear objective separation: Different goals need different campaigns
- Budget control points: Structure enables the budget allocation you need
- Measurement clarity: Structure should make performance attribution obvious
- Flexibility for testing: Room to experiment without disrupting core campaigns
Account structure in Google Ads is less about finding the one perfect arrangement and more about creating a system that serves your reporting needs, enables the controls you require, and scales efficiently as you grow. Apply the frameworks in this guide, but always adapt them to your specific business context. Compare approaches with Meta Ads account structure to understand cross-platform best practices, and ensure your structure supports effective budget management as your campaigns scale.
