New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Account Structure Review

by thatrebeccarae in thatrebeccarae/claude-marketing

Google and Meta paid media account structure evaluation. An agent skill from thatrebeccarae/claude-marketing.

MITAuto-check passedMarketing & SEO

Install Account Structure Review

skills CLI
$ npx skills add thatrebeccarae/claude-marketing --skill account-structure-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install thatrebeccarae/claude-marketing account-structure-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/thatrebeccarae/claude-marketing.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/account-structure-review .claude/skills/account-structure-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
account-structure-review
GitHub stars
161
Token cost
~6k tokens
SKILL.md length
2,541 words
Files
4
Skills in repo
55
Repo updated
First seen
Licence
MIT

At a glance

Google and Meta paid media account structure evaluation. An agent skill from thatrebeccarae/claude-marketing.

  • Works in 6 steps: Conversion Volume Audit → Budget Fragmentation Audit → Targeting Overlap Audit → …
  • Inheriting accounts
  • SKILL.md covers Install, Core Capabilities, Structure Health Criteria and Platform-Specific Structure…, plus 4 more sections
  • Calls git

What it does

Account Structure Review is an agent skill from thatrebeccarae/claude-marketing. Google and Meta paid media account structure evaluation. Audits campaign/ad set architecture against conversion volume minimums, budget thresholds, and targeting overlap. Identifies over-segmentation, under-segmentation, budget fragmentation, and structural anti-patterns blocking algorithmic learning. Provides consolidation roadmaps with migration plans. Use when inheriting accounts, quarterly health checks, or before scaling budgets.

Its SKILL.md is about 6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `EXAMPLES.md` and `REFERENCE.md`).

It sits in Marketing & SEO, covering Paid advertising. The repository describes itself as: A full marketing department for Claude Code. Skill packs for Klaviyo, Shopify, GA4, Looker Studio, paid media, and more. Audit, optimize, and report using natural language. The licence is MIT.

When your agent uses it

  • Inheriting accounts
  • Quarterly health checks
  • Before scaling budgets

Example prompts

  • “/account-structure-review”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Conversion Volume Audit
  2. Budget Fragmentation Audit
  3. Targeting Overlap Audit
  4. Objective Mismatch Audit
  5. Consolidation Plan
  6. Migration Plan

What it can do on your machine

Read from SKILL.md and the folder at commit a8a63ec. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Account Structure Review loads about 6k tokens when it runs. Until then it costs about 116 tokens; SKILL.md has 2,541 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~116
When it runs · the whole SKILL.md, loaded when a task matches
~6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from thatrebeccarae/claude-marketing at commit a8a63ec, republished under its MIT licence (© thatrebeccarae). 2,541 words, ~5,984 tokens.

Download SKILL.mdSave it as .claude/skills/account-structure-review/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
account-structure-review
description
Google and Meta paid media account structure evaluation. Audits campaign/ad set architecture against conversion volume minimums, budget thresholds, and targeting overlap. Identifies over-segmentation, under-segmentation, budget fragmentation, and structural anti-patterns blocking algorithmic learning. Provides consolidation roadmaps with migration plans. Use when inheriting accounts, quarterly health checks, or before scaling budgets.
license
MIT
origin
custom
author
Rebecca Rae Barton
author_url
https://github.com/thatrebeccarae
metadata.version
1.0.0
metadata.category
paid-media
metadata.domain
cross-platform
metadata.updated
2026-03-11
metadata.tested
2026-03-17
metadata.tested_with
Claude Code v2.1

Account Structure Review — Google + Meta

Expert-level guidance for evaluating paid media account structure against goals, budget, and conversion volume thresholds. Identifies structural anti-patterns that fragment data, starve budgets, or block algorithms from learning.

Install

bash
git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/account-structure-review ~/.claude/skills/

Core Capabilities

Structural Anti-Pattern Detection
  • Over-segmentation: Too many campaigns/ad sets splitting data and budget below learning thresholds
  • Under-segmentation: Everything in one campaign, can't isolate performance by intent or funnel stage
  • Budget fragmentation: Daily budgets too low to exit learning phase or sustain delivery
  • Targeting overlap: Multiple campaigns competing in same auctions, bidding against yourself
  • Objective mismatch: Using Traffic when you need Conversions, mixing lead gen and ecommerce goals in one campaign
Google-Specific Structure Auditing
  • Campaign type separation (Search ≠ Display ≠ Shopping ≠ PMax)
  • Ad group theme coherence (SKAGs are dead, STAGs with 5-15 keywords)
  • Match type strategy alignment per campaign intent
  • PMax cannibalizing branded Search
  • Shared budgets causing cross-campaign interference
  • Search Partners eating budget without conversions
  • Automated bid strategies applied to low-volume campaigns
Meta-Specific Structure Auditing
  • CBO vs ABO alignment with goals and budget levels
  • Advantage+ Shopping adoption readiness
  • Prospecting vs retargeting separation
  • Funnel exclusions (retargeting excludes purchasers, prospecting excludes retargeting audiences)
  • Advantage+ Audience stability (broad targeting with signal-based constraints)
  • Campaign duplication testing without isolation
  • Multiple ad sets in prospecting CBO campaigns (common waste vector)
Consolidation Decision Framework
  • How to merge campaigns without losing historical data
  • Campaign experiments for migration testing (Google) or 50/50 A/B tests (Meta)
  • Incremental changes vs wholesale restructure
  • Sequencing: What to consolidate first, what to defer

Structure Health Criteria

Google Ads: Minimum Conversion Volume Thresholds
Bid StrategyMinimum Monthly ConversionsIdeal Monthly ConversionsWarning Signs
Manual CPCN/A (no learning required)N/AUsing manual in 2026 means you're leaving performance on the table
Maximize Clicks0 (but why?)N/AYou have conversion tracking — use it
Maximize Conversions15/month30+/month<15/month = erratic, algorithm thrashing
Target CPA30/month50+/month<30/month = CPA target won't be hit reliably
Target ROAS50/month100+/month<50/month = ROAS variance too high, poor signal

Learning Phase: Campaigns need ~50 conversions in 30 days to exit learning. Campaigns with <30 conversions/month perpetually re-enter learning with every creative refresh or bid change.

Meta: Ad Set-Level Conversion Volume Thresholds
Optimization GoalMinimum Weekly ConversionsIdeal Weekly ConversionsWarning Signs
Landing Page ViewsN/A (top funnel)N/AUsing this when you have purchase tracking = waste
Link ClicksN/A (top funnel)N/ASame as above
Leads (Lead Gen)10/week per ad set20+/week<10/week = unstable CPL
Add to Cart15/week per ad set30+/week<15/week = algorithm can't optimize reliably
Initiate Checkout20/week per ad set40+/week<20/week = CPA variance too high
Purchase50/week per ad set100+/week<50/week = learning limited, poor delivery
Purchase (Advantage+)50/week per campaign150+/weekAdvantage+ needs high volume, consolidate aggressively

Learning Phase: Ad sets need ~50 conversions/week to exit learning. Ad sets with <50/week perpetually re-enter learning with every edit.

Budget Fragmentation Thresholds
PlatformMinimum Daily BudgetIdeal Daily BudgetWhy
Google Search (tCPA)$150/day$300+/day10x target CPA minimum for stable delivery
Google PMax$100/day$300+/dayPMax needs volume to test assets across channels
Google Display$50/day$100+/dayLower conversion rate = need more spend to gather signal
Meta CBO (Conversions)$100/day$300+/dayCBO needs budget to test ad sets before allocating
Meta ABO (Conversions)$20/day per ad set$50+/day per ad setAd sets under $20/day starve before learning completes
Meta Advantage+$200/day$500+/dayConsolidated campaigns need higher budgets to sustain delivery

Critical Rule: If your campaign can't sustain the minimum daily budget for 30 consecutive days without pausing, your account is over-segmented.

Targeting Overlap Indicators (Meta)
Overlap %StatusAction Required
0-10%HealthyNo action
11-25%ModerateMonitor, consider consolidation if both ad sets underperform
26-50%HighConsolidate or add exclusions immediately
51%+CriticalYou're bidding against yourself, merge now

Check overlap in Meta Ads Manager > Tools > Audience Overlap. Run this monthly for all active prospecting campaigns.

Google: Keyword Overlap Indicators
ScenarioStatusAction Required
Same keyword, different match types, same campaignHealthyThis is fine, broad/phrase/exact in same ad group is valid
Same keyword, same match type, different campaignsHigh RiskUnless separated by geo/device/schedule, you're competing with yourself
Broad keyword in Campaign A matching exact keyword in Campaign BCriticalBroad will steal traffic from exact unless you add exact as negative in Campaign A
PMax active + Brand Search campaignCriticalPMax WILL cannibalize branded search. Add brand terms as negatives in PMax or pause PMax.

Run Search Terms Report monthly and cross-reference against all campaigns to find cannibalization.

Platform-Specific Structure Best Practices

Google Ads: Campaign Hierarchy

Search Campaigns (Hierarchy: Campaign > Ad Group > Keywords > Ads)

  • One theme per campaign: Brand, Competitor, Category, Product Line, Intent Stage
  • Ad groups: 5-15 keywords per ad group, tightly themed (STAGs, not SKAGs)
  • Match types: Use Phrase and Broad in most campaigns. Exact only for ultra-high-intent/high-value terms.
  • Negatives: Aggressive negative keyword lists at campaign level to prevent overlap
  • Structure example:
    • Campaign: Brand Search
      • Ad Group: Brand Exact (5 exact match brand terms)
      • Ad Group: Brand Misspellings (10 phrase match variants)
    • Campaign: Category - Running Shoes
      • Ad Group: Trail Running (8 phrase match keywords)
      • Ad Group: Road Running (10 phrase match keywords)
      • Ad Group: Racing Flats (5 phrase match keywords)

Shopping Campaigns

  • Standard Shopping: One campaign per product category OR one campaign with ad groups by product type
  • PMax: One campaign for entire catalog OR separate campaigns by margin/goal (e.g., high-margin PMax vs volume PMax)
  • Do NOT run PMax + Standard Shopping simultaneously — PMax will dominate, Standard Shopping becomes a reporting shell

Performance Max (PMax)

  • When to use: E-commerce with feed, lead gen with dynamic assets, omnichannel goals
  • Structure: 1-3 campaigns max. PMax is designed to consolidate. Multiple PMax campaigns only if goals differ (ROAS target, audience strategy, geo)
  • Asset groups: 3-5 per campaign, themed by product category or customer segment
  • Critical negative keywords: Add brand terms if you want branded search to stay in Search campaigns

Display Campaigns

  • Separate campaigns by goal: Prospecting vs Retargeting
  • Prospecting: Use Responsive Display Ads (RDA) with demographic/interest targeting or Custom Audiences
  • Retargeting: Website visitors, cart abandoners, customer lists. Lower bids, higher ROAS targets.
Meta: Campaign Hierarchy

Campaign (Objective + Budget type)

  • Choose objective: Awareness, Traffic, Engagement, Leads, App Promotion, Sales
  • Choose budget: Campaign Budget Optimization (CBO) or Ad Set Budget Optimization (ABO)

Ad Set (Audience + Placement + Optimization)

  • Define audience (Advantage+ Audience, Custom Audiences, Lookalikes)
  • Choose placement (Advantage+ Placements or manual)
  • Set optimization event (Purchase, Add to Cart, Lead, etc.)
  • Set bid strategy (Lowest Cost, Cost Cap, Bid Cap)

Ad (Creative)

  • Image, video, carousel, collection
  • Primary text, headline, description, CTA

CBO vs ABO Decision Tree:

  • Use CBO when:
    • Budget >$300/day
    • Testing multiple audiences against each other
    • Want Meta to auto-allocate budget to best performers
    • Have 2-5 ad sets per campaign
  • Use ABO when:
    • Budget <$300/day
    • Need strict budget control per ad set (e.g., prospecting gets $100, retargeting gets $50)
    • Testing one audience or creative set in isolation
    • Running Advantage+ (CBO is required)

Advantage+ Shopping Campaigns

  • Consolidates prospecting + retargeting into one campaign with one ad set
  • Requires Conversions API (CAPI) + pixel
  • Needs 50+ purchases/week to perform (ideally 150+/week)
  • Best for brands spending $10K+/month on Meta with mature pixel
  • When NOT to use: New pixels (<1000 events), low conversion volume, need granular audience control

Prospecting vs Retargeting Separation

  • Always separate prospecting and retargeting into different campaigns
  • Prospecting: Broad targeting (Advantage+ Audience with interest/demo signals), lookalikes, cold traffic
  • Retargeting: Website visitors (180d), cart abandoners (30d), video viewers (30d), engaged users
  • Critical exclusions:
    • Prospecting: Exclude website visitors 180d, customer lists
    • Retargeting: Exclude purchasers (unless running replenishment/upsell)

Consolidation Decision Framework

Step 1: Conversion Volume Audit

Pull last 30 days of data. For each campaign/ad set:

  1. Count conversions
  2. Compare to minimum threshold (see tables above)
  3. Flag campaigns/ad sets below threshold as "Under-Volume"
Step 2: Budget Fragmentation Audit

For each campaign:

  1. Calculate average daily spend
  2. Compare to minimum daily budget threshold
  3. Flag campaigns below threshold as "Under-Budget"
  4. Check: Does campaign run out of budget before end of day? If yes, flag "Budget-Constrained"
Step 3: Targeting Overlap Audit

Google:

  1. Run Search Terms Report for all Search campaigns
  2. Cross-reference search terms against all other campaigns' keyword lists
  3. Flag any search term appearing in 2+ campaigns

Meta:

  1. Go to Ads Manager > Tools > Audience Overlap
  2. Compare all active prospecting audiences
  3. Flag any overlap >25%
Step 4: Objective Mismatch Audit

For each campaign:

  1. Check objective (Google: bid strategy; Meta: campaign objective)
  2. Check conversion tracking setup
  3. Flag mismatches:
    • Google: Manual CPC or Maximize Clicks when conversions are tracked
    • Meta: Traffic or Engagement objective when Purchase pixel fires
    • Mixing lead gen (form fills) and ecommerce (purchases) in same campaign
Step 5: Consolidation Plan

For each flagged campaign, decide:

  • Merge: Combine with similar campaign (same intent, same goal, compatible targeting)
  • Pause: Discontinue if redundant or no clear goal
  • Restructure: Keep separate but change targeting/budget/objective
  • Defer: Flag for later (e.g., seasonal campaigns, test campaigns)

Merge Rules:

  • Google Search: Merge campaigns with similar keyword themes and match types into one campaign with multiple ad groups
  • Google PMax: Consolidate multiple PMax campaigns into one unless goals differ by >20% (e.g., tROAS of 300% vs 500%)
  • Meta Prospecting: Merge lookalike audiences into one Advantage+ Audience campaign with signals
  • Meta Retargeting: Merge retargeting ad sets into one campaign with CBO, separate ad sets by funnel stage (website visitors, cart abandoners, etc.)
Show full SKILL.md (998 more words)Show less
Step 6: Migration Plan

Option A: Campaign Experiments (Google)

  1. Create experiment in original campaign
  2. Build new consolidated structure in experiment arm
  3. Split traffic 50/50 for 14-30 days
  4. Compare performance, roll out winner

Option B: Gradual Migration

  1. Launch new consolidated campaigns at 25% of total budget
  2. Run for 7 days, compare performance
  3. Increase to 50%, decrease old campaigns to 50%
  4. Run for 7 days, compare again
  5. If new campaigns outperform, shift 100% budget and pause old campaigns

Option C: Immediate Cutover (risky, only for emergencies)

  1. Launch new campaigns
  2. Pause old campaigns same day
  3. Expect 7-14 day learning phase, performance dip

Historical Data Preservation:

  • Do NOT delete old campaigns — pause them
  • Export historical data to spreadsheet/dashboard before pausing
  • Keep old campaigns paused for 90 days for reference, then archive

Minimum Viable Structure by Budget Level

$5K/month ($167/day)

Google:

  • 2-4 campaigns max: Brand Search ($50/day), Category Search ($70/day), Display Retargeting ($30/day), Shopping or PMax ($17/day)
  • Do NOT run PMax + Shopping simultaneously at this budget

Meta:

  • 2 campaigns: Prospecting CBO ($100/day, 2 ad sets), Retargeting ABO ($67/day, 2 ad sets)
  • If running Advantage+, go all-in: 1 Advantage+ campaign ($167/day)
$20K/month ($667/day)

Google:

  • 5-8 campaigns: Brand Search ($100/day), Competitor Search ($100/day), Category Search ($150/day), PMax ($200/day), Display Retargeting ($50/day), Display Prospecting ($67/day)
  • Or: Consolidate into PMax ($400/day) + Brand Search ($100/day) + Display Retargeting ($167/day)

Meta:

  • 3-4 campaigns: Prospecting CBO ($400/day, 3-5 ad sets), Retargeting CBO ($150/day, 3 ad sets), Testing Campaign ($117/day, 2 ad sets)
  • Or: Advantage+ Shopping ($500/day) + Retargeting ($167/day)
$100K/month ($3,333/day)

Google:

  • 10-15 campaigns: Brand Search, Competitor Search, 3-5 Category Search campaigns, PMax, Display Prospecting (demographics), Display Prospecting (interests), Display Retargeting, YouTube Prospecting, YouTube Retargeting, Discovery
  • Budget allocation: 40% PMax, 20% Search (Brand/Competitor/Category), 20% Display, 20% YouTube/Discovery

Meta:

  • 6-10 campaigns: Advantage+ Shopping, Prospecting Lookalikes, Prospecting Interests, Prospecting Broad, Retargeting (Website), Retargeting (Engaged), Creative Testing, Offer Testing, New Market Testing
  • Budget allocation: 50% Advantage+, 20% Prospecting (other), 15% Retargeting, 15% Testing
$500K/month ($16,667/day)

Google:

  • 15-25 campaigns: Separate by geo (US, CA, UK, etc.), product line, margin tier, funnel stage, device (if performance warrants), dayparting (if 24/7 doesn't work)
  • Heavy investment in PMax ($8K/day), Brand ($2K/day), Category Search ($4K/day), YouTube ($2K/day)

Meta:

  • 10-20 campaigns: Multiple Advantage+ campaigns by geo or product line, separate prospecting campaigns by demo or interest cluster, retargeting by funnel stage and recency, heavy creative testing budget
  • Budget allocation: 60% Advantage+, 15% Prospecting, 10% Retargeting, 15% Testing

Key principle: Structure complexity should scale with budget and conversion volume, not with number of products or "just because."

Output Format Template

When conducting an account structure review, provide output in this format:

# Account Structure Review — [Client Name] — [Date]

## Executive Summary
- Total monthly spend: $X
- Total campaigns: X (Google: X, Meta: X)
- Campaigns flagged: X (X% of total)
- Primary issues: [List top 3]
- Recommended consolidation: X campaigns → X campaigns
- Expected impact: [Estimated improvement in CPA, ROAS, or learning phase stability]

## Structural Health Score: X/100
- Conversion volume: X/30 (campaigns meeting minimum thresholds)
- Budget allocation: X/25 (campaigns with sufficient daily budgets)
- Targeting efficiency: X/25 (overlap score)
- Objective alignment: X/20 (campaigns using correct objectives for goals)

## Google Ads Findings

### Campaign Inventory
[Table: Campaign Name | Type | Daily Budget | Monthly Conversions | Status | Flag]

### Issues Identified
1. **[Issue Category]** (e.g., Over-Segmentation, Budget Fragmentation)
   - **Finding**: [Specific data point]
   - **Impact**: [Why this matters]
   - **Recommendation**: [What to do]

### Google Consolidation Plan
- Merge: [Campaign A + Campaign B] → [New Campaign Name]
- Pause: [Campaign C] (reason: redundant with PMax)
- Restructure: [Campaign D] (change from Maximize Clicks to tCPA)

## Meta Findings

### Campaign Inventory
[Table: Campaign Name | Objective | Budget Type | Daily Budget | Weekly Conversions | Status | Flag]

### Issues Identified
1. **[Issue Category]**
   - **Finding**: [Specific data point]
   - **Impact**: [Why this matters]
   - **Recommendation**: [What to do]

### Meta Consolidation Plan
- Merge: [Ad Set A + Ad Set B] → [New Campaign Name] (CBO)
- Migrate to Advantage+: [Campaign E] (conversion volume meets threshold)
- Pause: [Campaign F] (overlap with retargeting campaign)

## Migration Roadmap

### Phase 1 (Week 1-2): [Immediate Actions]
- Launch: [New Campaign X] at $X/day
- Reduce: [Old Campaign Y] to $X/day (from $X/day)
- Pause: [Campaign Z] (no conversions in 60 days)

### Phase 2 (Week 3-4): [Performance Validation]
- Monitor: [Campaigns] for learning phase completion
- Compare: [Old vs New] performance
- Decision: Roll out 100% or revert

### Phase 3 (Week 5-6): [Full Migration]
- Shift: 100% budget to new structure
- Pause: All old campaigns
- Archive: Export historical data

## Expected Outcomes
- **Learning phase stability**: [X campaigns] will exit learning phase with consolidated volume
- **Budget efficiency**: [X campaigns] will sustain delivery throughout day instead of exhausting budget early
- **Reporting clarity**: [Benefit of cleaner structure]
- **Algorithmic performance**: Expect CPA to improve [X%] as algorithms get more signal

## Risks & Mitigations
- **Risk**: Performance dip during learning phase
  - **Mitigation**: Gradual migration, keep 50% budget in proven campaigns during transition
- **Risk**: Loss of granular reporting
  - **Mitigation**: Use labels, UTM parameters, or asset groups (PMax) to maintain visibility

## Next Steps
1. [Action 1]
2. [Action 2]
3. [Action 3]

Worked Example

Scenario: Mid-market DTC brand, $30K/month spend, Google + Meta

Google Ads Audit:

  • 28 Search campaigns (Brand, Category, Product, Competitor)
  • 22 campaigns have <20 conversions/month (below tCPA threshold)
  • 15 campaigns have daily budgets <$20 (exhaust by 10am)
  • PMax campaign active + Standard Shopping campaign active (PMax dominating, Standard Shopping getting <5% of budget)
  • Shared budget across 8 campaigns causing unpredictable allocation

Findings:

  1. Over-Segmentation (Search): 28 campaigns should be 6-8 campaigns grouped by intent
  2. Budget Fragmentation: 15 campaigns can't sustain delivery
  3. PMax Cannibalization: Standard Shopping is redundant
  4. Shared Budget Chaos: 8 campaigns competing for shared budget instead of predictable allocation

Consolidation Plan:

  • Merge Search campaigns: 28 → 6 (Brand, Competitor, Category A, Category B, Category C, Generic)
  • Pause Standard Shopping, increase PMax budget from $200/day to $400/day
  • Remove shared budgets, assign fixed daily budgets to each campaign
  • Resulting structure: 6 Search campaigns + 1 PMax + 1 Display Retargeting = 8 campaigns total

Meta Audit:

  • 12 campaigns (10 prospecting, 2 retargeting)
  • 10 prospecting campaigns have overlapping audiences (Lookalike 1%, Lookalike 2-3%, Interest: Fitness, Interest: Running, Broad, etc.)
  • Audience overlap tool shows 35-60% overlap across all prospecting campaigns
  • 6 campaigns have <30 purchases/week (below Conversions optimization threshold)
  • Using ABO with $50/day per campaign

Findings:

  1. Targeting Overlap: 10 prospecting campaigns bidding against each other
  2. Under-Volume: 6 campaigns don't have enough conversions to optimize
  3. Budget Fragmentation: $50/day per campaign is marginal for Conversions objective

Consolidation Plan:

  • Merge prospecting campaigns: 10 → 2 (Advantage+ Shopping at $700/day, Lookalike Testing at $100/day)
  • Consolidate retargeting: 2 campaigns → 1 CBO campaign with 3 ad sets (Website 7-30d, Cart Abandoners, Engaged Video Viewers) at $200/day
  • Resulting structure: 3 campaigns total (Advantage+, Lookalike Testing, Retargeting)

Expected Impact:

  • Google: Campaigns will have 40-60 conversions/month (vs 8-15 currently), tCPA will stabilize, learning phase will complete
  • Meta: Advantage+ will have 120+ purchases/week (vs 20-30 per campaign currently), audience overlap eliminated, CBO will optimize budget allocation
  • Overall: CPA expected to improve 15-25% within 30 days post-migration

Guidelines

  • Never consolidate blindly: Check conversion data, budget sustainability, and targeting logic before merging
  • Preserve historical data: Pause, don't delete
  • Test migrations when possible: Use experiments (Google) or gradual budget shifts (Meta)
  • Monitor learning phases: Expect 7-14 days of instability after structural changes
  • Document everything: Keep audit findings, consolidation plan, and migration steps in shared doc for team visibility
  • Revisit quarterly: Account structure should evolve as budget, conversion volume, and goals change

How to Use This Skill

Ask questions like:

  • "Audit my Google Ads account structure and identify consolidation opportunities"
  • "My Meta campaigns have low conversion volume — should I consolidate?"
  • "I'm inheriting a messy account with 40+ campaigns — where do I start?"
  • "What's the right campaign structure for a $50K/month budget on Google and Meta?"
  • "My campaigns keep re-entering learning phase — is my structure the problem?"
  • "Should I migrate to Advantage+ Shopping or keep my current prospecting setup?"
  • "Create a consolidation plan for my Search campaigns — they're all under $30/day budget"

Safety & Data Handling

  • Analysis only — this skill produces recommendations, not live changes. Always review before implementing in any ad platform.
  • No PII — do not paste customer emails, phone numbers, names, or order-level data. Use aggregated/anonymized exports only.
  • Projections are estimates — financial forecasts are based on historical data and carry uncertainty. Label them as projections in client deliverables.
  • Confirm before acting — never pause, delete, or modify live campaigns based solely on this analysis without human review.

© thatrebeccarae, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files in skills/account-structure-review of thatrebeccarae/claude-marketing.

  • SKILL.md
  • EXAMPLES.md
  • LICENSE
  • REFERENCE.md

Open the folder on GitHubat commit a8a63ec

Compare with similar skills

Account Structure Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Account Structure Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Account Structure Review this skillthatrebeccarae/claude-marketing161—~6kAutomated safety check: PassMIT
Ad CreativeLeoYeAI/openclaw-marketing-skills1k8 repos~3.4kAutomated safety check: PassCustom licence
Blog GoogleAgriciDaniel/claude-blog2.3k1 repos~3.3kAutomated safety check: NotesMIT
Ad Account Auditoraaron-he-zhu/aaron-marketing-skills2.9k2 repos~2.2kAutomated safety check: PassApache-2.0
Ad Creative Builderaaron-he-zhu/aaron-marketing-skills2.9k2 repos~2.2kAutomated safety check: PassApache-2.0
Ad Test Designeraaron-he-zhu/aaron-marketing-skills2.9k2 repos~2.8kAutomated safety check: PassApache-2.0

Similar skills

  • Ad Creative

    LeoYeAI/openclaw-marketing-skills

    When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform.

    1k GitHub starsUsed in 8 repos~3.4k tokens
    Marketing & SEOAuto-check passed

  • Blog Google

    AgriciDaniel/claude-blog

    Google API integration for blog performance: PageSpeed Insights, CrUX Core Web Vitals with 25-week history, Search Console performance, URL Inspection, Indexing API, GA4 organic traffic, NLP entity…

    2.3k GitHub starsUsed in 1 repo~3.3k tokens
    Marketing & SEOAuto-check: notes

  • Ad Account Auditor

    aaron-he-zhu/aaron-marketing-skills

    A skill your agent uses when auditing a paid ad account for incremental contribution, wasted spend, or measurement integrity before scaling; runs a typed 20-item ROAS profile with verified vetoes…

    2.9k GitHub starsUsed in 2 repos~2.2k tokens
    Marketing & SEOAuto-check passed

  • Ad Creative Builder

    aaron-he-zhu/aaron-marketing-skills

    A skill your agent uses when the user asks to "write ad copy", "generate RSA headlines", or "build ad creative at volume"; produces ad units — RSA headlines/descriptions, hooks, and an angle matrix…

    2.9k GitHub starsUsed in 2 repos~2.2k tokens
    Marketing & SEOAuto-check passed

  • Ad Test Designer

    aaron-he-zhu/aaron-marketing-skills

    A skill your agent uses when the user asks to "design an A/B test", "set up a creative/landing test", "run an incrementality test", or "is this result statistically and practically material?"…

    2.9k GitHub starsUsed in 2 repos~2.8k tokens
    Marketing & SEOAuto-check passed

  • Paid Ads Audit

    AgriciDaniel/claude-ads

    Runs a source-grounded paid advertising audit across up to 12 ad platforms, with parallel platform workers, deterministic scoring and a versioned JSON bundle.

    9.9k GitHub stars~1.5k tokensUpdated 3 days ago
    Marketing & SEOAuto-check passed

More from thatrebeccarae/claude-marketing

All 55 skills in this repo

  • Google Analytics

    thatrebeccarae/claude-marketing

    Analyze Google Analytics data, review website performance metrics, identify traffic patterns, and suggest data-driven improvements.

    161 GitHub starsUsed in 3 repos~1.3k tokens
    Auto-check: notes

  • Content Creator

    thatrebeccarae/claude-marketing

    Comprehensive content marketing toolkit with brand voice analysis, SEO optimization scripts, content frameworks, social media strategy, and content calendar planning.

    161 GitHub stars~1.1k tokensUpdated 4 mo ago
    Auto-check passed

  • Klaviyo Analyst

    thatrebeccarae/claude-marketing

    Klaviyo marketing operations and analyst expertise. An agent skill from thatrebeccarae/claude-marketing.

    161 GitHub stars~5k tokensUpdated 4 mo ago
    Auto-check: notes

  • Klaviyo Developer

    thatrebeccarae/claude-marketing

    Klaviyo API and developer integration expertise. An agent skill from thatrebeccarae/claude-marketing.

    161 GitHub stars~4.9k tokensUpdated 4 mo ago
    Auto-check: notes

  • Looker Studio

    thatrebeccarae/claude-marketing

    Looker Studio (formerly Google Data Studio) expertise. An agent skill from thatrebeccarae/claude-marketing.

    161 GitHub stars~3.6k tokensUpdated 4 mo ago
    Auto-check: notes

  • Shopify

    thatrebeccarae/claude-marketing

    Shopify e-commerce platform marketing expertise. An agent skill from thatrebeccarae/claude-marketing.

    161 GitHub stars~2.4k tokensUpdated 4 mo ago
    Auto-check: notes

Categories

Questions about Account Structure Review

What does Account Structure Review do?

Google and Meta paid media account structure evaluation. An agent skill from thatrebeccarae/claude-marketing. Account Structure Review is an agent skill from thatrebeccarae/claude-marketing. Google and Meta paid media account structure evaluation.

When should I use Account Structure Review?

Account Structure Review fits situations like: inheriting accounts; quarterly health checks; before scaling budgets.

How do I install Account Structure Review in Claude Code?

Run `npx skills add thatrebeccarae/claude-marketing --skill account-structure-review -a claude-code`. Or copy the skill folder (skills/account-structure-review in thatrebeccarae/claude-marketing) into .claude/skills/account-structure-review in your project. Claude Code loads it when a task matches its description.

How do I install Account Structure Review in Codex?

Run `npx skills add thatrebeccarae/claude-marketing --skill account-structure-review -a codex`. Or copy the skill folder (skills/account-structure-review in thatrebeccarae/claude-marketing) into .agents/skills/account-structure-review in your project. Codex loads it when a task matches its description.

Can I use Account Structure Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add thatrebeccarae/claude-marketing --skill account-structure-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/account-structure-review, .gemini/skills/account-structure-review, .github/skills/account-structure-review and .opencode/skills/account-structure-review in your project.

What does Account Structure Review need to run?

Going by SKILL.md and its folder, Account Structure Review needs the command-line tools its instructions call (git).

Does Account Structure Review access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Account Structure Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Account Structure Review use?

Account Structure Review is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Account Structure Review use?

About 6k tokens (SKILL.md is roughly 24k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Account Structure Review?

Skills that share tags, products or a category with Account Structure Review: Ad Creative (LeoYeAI/openclaw-marketing-skills, 1k stars), Blog Google (AgriciDaniel/claude-blog, 2.3k stars), Ad Account Auditor (aaron-he-zhu/aaron-marketing-skills, 2.9k stars) and Ad Creative Builder (aaron-he-zhu/aaron-marketing-skills, 2.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Account Structure Review?

thatrebeccarae (a GitHub user) maintains it in thatrebeccarae/claude-marketing, which has 161 GitHub stars. The repository holds 55 skills in this directory. The repository was last updated on May 14, 2026.

Source: thatrebeccarae/claude-marketing on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.