Systems Lab

Agent skill

google-ads-benchmark-database

This skill should be used when the user asks to \"compare performance to industry benchmarks\", \"set KPI targets for a new account\", \"estimate CPA or ROAS by industry\", or mentions \"Google Ads benchmarks\", \"seasonal CPC trends\", or \"industry averages\".

activeSelf-containedInstructions only2,789 words

Filed under ABM and paid and Analytics and reporting.

From Ad-Superpowers/ad-superpowers-plugin · 120 skills · 5 · pushed 2026-09-10

What it does when it runs

This skill should be used when the user asks to \"compare performance to industry benchmarks\", \"set KPI targets for a new account\", \"estimate CPA or ROAS by industry\", or mentions \"Google Ads benchmarks\", \"seasonal CPC trends\", or \"industry averages\". Do NOT use for: real-time performance troubleshooting (use performance-troubleshooter), Quality Score optimization (use quality-score-optimizer), or campaign structure decisions (use campaign-structure-advisor).

Read from the skill and the 1 file bundled beside it. A skill’s own description is written to be selected by an agent, so it describes the job and not the dependencies.

Keys and connectors you must supply
None found.
Hosts it reaches
No third-party host appears in the skill or its bundled files.
Tool permissions it declares
No allowed-tools in the frontmatter. It only issues instructions, so there is nothing to bound.
Actions present in the files
None. Instructions only.

Ask about google-ads-benchmark-database

Opens your assistant with this page's verified links already in the prompt.

Is this safe to install?ClaudeChatGPT
Adapt it to my stackClaudeChatGPT
What else do I need for it to workClaudeChatGPT
Rather ask a human? Talk to Cheetah
git clone --depth 1 --filter=blob:none --sparse https://github.com/Ad-Superpowers/ad-superpowers-plugin.git /tmp/ad-superpowers-plugin
git -C /tmp/ad-superpowers-plugin sparse-checkout set "plugin/skills/google-ads-benchmark-database"
mkdir -p ~/.claude/skills/google-ads-benchmark-database
cp -R "/tmp/ad-superpowers-plugin/plugin/skills/google-ads-benchmark-database/." ~/.claude/skills/google-ads-benchmark-database/

Picked up without a restart. A project skill of the same name is shadowed by your personal one. For one repository only, swap ~/.claude/skills for .claude/skills. Claude Code docs ↗

Or take the whole library

This repo ships a .claude-plugin manifest, so Claude Code can install all 120 skills at once. Plugin skills are invoked as /<plugin>:<skill>, so they never collide with your own.

/plugin marketplace add Ad-Superpowers/ad-superpowers-plugin
/plugin

The folder is the same in every client that implements the format — 46 of them — so if yours is not above, only the destination changes.

Reproduced in full from Ad-Superpowers/ad-superpowers-plugin/blob/9b6385d2d2d228e4dac096a1d6bc5715c04fa736/plugin/skills/google-ads-benchmark-database/SKILL.md, which is licensed MIT (repository). 2,789 words, 33 headings.

Benchmark Database

Complete database with Google Ads KPI benchmarks per industry, campaign type, and region for performance comparison and goal setting.

How to Pull Live Account Data First

Before applying benchmarks, pull actual account data via MCP to ground the comparison:

google_ads_run_gaql(query="
  SELECT campaign.name, campaign.advertising_channel_type,
         metrics.clicks, metrics.impressions, metrics.ctr,
         metrics.average_cpc, metrics.conversions,
         metrics.cost_per_conversion, metrics.conversions_value,
         metrics.cost_micros
  FROM campaign
  WHERE segments.date DURING LAST_30_DAYS
    AND campaign.status = 'ENABLED'
  ORDER BY metrics.cost_micros DESC
  LIMIT 20
")

Compare the output against the benchmarks below to identify gaps.

Disclaimer

BENCHMARK DISCLAIMER
════════════════════

These benchmarks are compiled from:
├── WordStream/LOCALiQ "Google Ads Benchmarks 2025" (Sep 2025, ~16K campaigns)
├── LOCALiQ "Search Advertising Benchmarks for 2025" (updated Feb 2026)
├── WordStream "Conversion Rate Benchmarks" (updated Nov 2025)
├── Tinuiti "Digital Ads Benchmark Report Q4 2025" (Jan 2026)
└── Agency experience and case studies

IMPORTANT NUANCES:
├── Benchmarks are AVERAGES
├── Top 10% performers do 2-3x better
├── Bottom 10% performers do 2-3x worse
├── Your results depend on:
│   ├── Landing page quality
│   ├── Brand awareness
│   ├── Product/market fit
│   ├── Competition in your niche
│   └── Account history

USE FOR:
├── Initial target setting (new account)
├── Performance check (significant deviations)
├── Budget planning (CPA estimates)
└── Client benchmarking

DO NOT USE AS:
├── Absolute truth
├── Guarantee of results
└── Direct comparison without context

Search Campaign Benchmarks

CTR Benchmarks per Industry

SEARCH CTR BENCHMARKS (2025/2026)
═════════════════════════════════

┌────────────────────────────┬─────────┬─────────┬─────────┐
│ INDUSTRY                   │ AVG CTR │ TOP 25% │ TOP 10% │
├────────────────────────────┼─────────┼─────────┼─────────┤
│ Dating & Personals         │ 6.05%   │ 8.5%    │ 11%+    │
│ Travel & Hospitality       │ 4.68%   │ 6.5%    │ 9%+     │
│ Advocacy                   │ 4.41%   │ 6.0%    │ 8%+     │
│ Auto                       │ 4.00%   │ 5.5%    │ 7%+     │
│ Education                  │ 3.78%   │ 5.2%    │ 7%+     │
│ Real Estate                │ 3.71%   │ 5.0%    │ 7%+     │
│ Health & Medical           │ 3.27%   │ 4.5%    │ 6%+     │
│ Employment Services        │ 2.42%   │ 3.5%    │ 5%+     │
│ Finance & Insurance        │ 2.91%   │ 4.0%    │ 5%+     │
│ E-Commerce (Retail)        │ 2.69%   │ 4.0%    │ 5%+     │
│ Consumer Services          │ 2.41%   │ 3.5%    │ 5%+     │
│ Industrial Services        │ 2.61%   │ 3.5%    │ 5%+     │
│ Home Goods                 │ 2.44%   │ 3.5%    │ 5%+     │
│ Legal                      │ 2.93%   │ 4.0%    │ 5%+     │
│ Technology                 │ 2.09%   │ 3.0%    │ 4%+     │
│ B2B                        │ 2.41%   │ 3.5%    │ 5%+     │
└────────────────────────────┴─────────┴─────────┴─────────┘

OVERALL SEARCH AVERAGE: 6.66% (LOCALiQ/WordStream 2025 report)
Note: significant increase vs prior years due to PMax, branded queries, and methodology shift

CPC Benchmarks per Industry

SEARCH CPC BENCHMARKS (EUR, 2025/2026)
══════════════════════════════════════

┌────────────────────────────┬──────────┬──────────┬──────────┐
│ INDUSTRY                   │ AVG CPC  │ LOW END  │ HIGH END │
├────────────────────────────┼──────────┼──────────┼──────────┤
│ Legal                      │ €7.80    │ €4.00    │ €15.00   │
│ Consumer Services          │ €5.66    │ €3.00    │ €12.00   │
│ Finance & Insurance        │ €3.44    │ €1.50    │ €8.00    │
│ B2B                        │ €3.33    │ €1.50    │ €7.00    │
│ Technology                 │ €3.80    │ €1.50    │ €8.00    │
│ Employment Services        │ €2.04    │ €1.00    │ €5.00    │
│ Real Estate                │ €2.37    │ €1.00    │ €5.00    │
│ Industrial Services        │ €2.56    │ €1.00    │ €5.00    │
│ Home Goods                 │ €2.94    │ €1.00    │ €6.00    │
│ Health & Medical           │ €2.62    │ €1.00    │ €6.00    │
│ Education                  │ €2.40    │ €0.80    │ €5.00    │
│ Advocacy                   │ €1.43    │ €0.50    │ €3.00    │
│ E-Commerce (Retail)        │ €1.16    │ €0.40    │ €3.00    │
│ Travel & Hospitality       │ €1.53    │ €0.50    │ €4.00    │
│ Dating & Personals         │ €2.78    │ €1.00    │ €5.00    │
│ Auto                       │ €2.46    │ €1.00    │ €5.00    │
└────────────────────────────┴──────────┴──────────┴──────────┘

CPCs vary significantly by:
├── Geo (Randstad vs rest)
├── Device (Mobile often cheaper)
├── Time of day
└── Seasonality

Conversion Rate Benchmarks

SEARCH CONVERSION RATE BENCHMARKS (2025/2026)
═════════════════════════════════════════════

┌────────────────────────────┬──────────┬──────────┬──────────┐
│ INDUSTRY                   │ AVG CVR  │ TOP 25%  │ TOP 10%  │
├────────────────────────────┼──────────┼──────────┼──────────┤
│ Dating & Personals         │ 9.64%    │ 12%      │ 15%+     │
│ Legal                      │ 5.10%    │ 8%       │ 12%+     │
│ Consumer Services          │ 6.64%    │ 9%       │ 12%+     │
│ Auto                       │ 6.03%    │ 8%       │ 11%+     │
│ Employment Services        │ 5.13%    │ 7%       │ 10%+     │
│ Finance & Insurance        │ 5.10%    │ 7%       │ 10%+     │
│ Health & Medical           │ 3.36%    │ 5%       │ 8%+      │
│ Industrial Services        │ 3.37%    │ 5%       │ 7%+      │
│ Education                  │ 3.39%    │ 5%       │ 7%+      │
│ Travel & Hospitality       │ 3.55%    │ 5%       │ 7%+      │
│ Real Estate                │ 2.47%    │ 4%       │ 6%+      │
│ Home Goods                 │ 2.70%    │ 4%       │ 6%+      │
│ Technology                 │ 2.92%    │ 4%       │ 6%+      │
│ Advocacy                   │ 1.96%    │ 3%       │ 5%+      │
│ E-Commerce (Retail)        │ 2.81%    │ 4%       │ 6%+      │
│ B2B                        │ 3.04%    │ 4%       │ 6%+      │
└────────────────────────────┴──────────┴──────────┴──────────┘

CONVERSION TYPES:
├── E-commerce: Purchase
├── Lead Gen: Form submit, Phone call
├── SaaS: Free trial, Demo request
└── Local: Store visit, Call

E-Commerce Specific Benchmarks

ROAS Benchmarks per Vertical

E-COMMERCE ROAS BENCHMARKS (2025/2026)
══════════════════════════════════════

┌─────────────────────────┬──────────┬──────────┬─────────────┐
│ VERTICAL                │ AVG ROAS │ GOOD     │ EXCELLENT   │
├─────────────────────────┼──────────┼──────────┼─────────────┤
│ Fashion & Apparel       │ 3.5x     │ 4-5x     │ 6x+         │
│ Beauty & Cosmetics      │ 4.0x     │ 5-6x     │ 7x+         │
│ Electronics             │ 2.5x     │ 3-4x     │ 5x+         │
│ Home & Garden           │ 3.0x     │ 4-5x     │ 6x+         │
│ Sports & Outdoor        │ 3.5x     │ 4-5x     │ 6x+         │
│ Food & Beverage         │ 3.0x     │ 4-5x     │ 6x+         │
│ Health & Wellness       │ 3.5x     │ 5-6x     │ 7x+         │
│ Jewelry & Accessories   │ 4.0x     │ 5-7x     │ 8x+         │
│ Pet Supplies            │ 3.5x     │ 4-5x     │ 6x+         │
│ Toys & Games            │ 3.0x     │ 4-5x     │ 6x+         │
│ Office & Business       │ 2.5x     │ 3-4x     │ 5x+         │
│ Automotive Parts        │ 3.0x     │ 4-5x     │ 6x+         │
└─────────────────────────┴──────────┴──────────┴─────────────┘

ROAS CONTEXT:
─────────────
Break-even ROAS = 1 / Profit Margin

Example:
├── 30% margin → Break-even ROAS = 3.33x
├── 40% margin → Break-even ROAS = 2.50x
├── 50% margin → Break-even ROAS = 2.00x
└── 60% margin → Break-even ROAS = 1.67x

Target ROAS = Break-even x (1 + Desired Profit %)

Average Order Value per Category

AVERAGE ORDER VALUE BENCHMARKS (EUR)
════════════════════════════════════

┌─────────────────────────┬──────────┬─────────────┬─────────────┐
│ CATEGORY                │ AVG AOV  │ RANGE LOW   │ RANGE HIGH  │
├─────────────────────────┼──────────┼─────────────┼─────────────┤
│ Jewelry & Watches       │ €180     │ €80         │ €500+       │
│ Electronics             │ €150     │ €50         │ €400+       │
│ Furniture               │ €250     │ €100        │ €800+       │
│ Fashion & Apparel       │ €85      │ €40         │ €150        │
│ Beauty & Cosmetics      │ €55      │ €30         │ €100        │
│ Sports & Outdoor        │ €95      │ €40         │ €200        │
│ Health & Supplements    │ €65      │ €30         │ €120        │
│ Pet Supplies            │ €50      │ €25         │ €100        │
│ Food & Beverage         │ €45      │ €20         │ €80         │
│ Home & Garden           │ €75      │ €30         │ €200        │
│ Books & Media           │ €30      │ €15         │ €60         │
│ Baby & Kids             │ €65      │ €30         │ €120        │
└─────────────────────────┴──────────┴─────────────┴─────────────┘

AOV INCREASE STRATEGIES:
├── Cross-sell & upsell (+15-30%)
├── Bundle offers (+20-40%)
├── Free shipping threshold (+10-20%)
└── Quantity discounts (+10-25%)

Cart Abandonment Benchmarks

CART ABANDONMENT RATES (2025/2026)
══════════════════════════════════

┌─────────────────────────┬────────────────┬────────────────┐
│ INDUSTRY                │ CART ABANDON   │ CHECKOUT ABAND │
├─────────────────────────┼────────────────┼────────────────┤
│ Finance                 │ 83.6%          │ 75.0%          │
│ Non-Profit              │ 83.1%          │ 74.0%          │
│ Travel                  │ 81.7%          │ 72.0%          │
│ Retail/E-commerce       │ 72.8%          │ 63.0%          │
│ Fashion & Apparel       │ 68.3%          │ 59.0%          │
│ Gaming                  │ 64.2%          │ 55.0%          │
│ Food & Grocery          │ 52.0%          │ 44.0%          │
└─────────────────────────┴────────────────┴────────────────┘

TOP REASONS FOR ABANDONMENT:
├── 48% Extra costs (shipping, tax)
├── 24% Account creation required
├── 18% Shipping too slow
├── 17% Checkout too complex
├── 15% Trust issues
└── 12% Payment options

Campaign Type Benchmarks

Shopping Campaign Benchmarks

SHOPPING CAMPAIGN BENCHMARKS (2025/2026)
════════════════════════════════════════

OVERALL BENCHMARKS:
───────────────────
├── CTR: 0.86% (range: 0.5% - 2.0%)
├── CPC: €0.38 (range: €0.15 - €1.00)
├── CVR: 1.91% (range: 1.0% - 4.0%)
├── ROAS: 4.0x (range: 2.5x - 8.0x)
└── Impression Share: 40% (target: 60%+)

PER VERTICAL:
─────────────
┌─────────────────────┬───────┬───────┬───────┬───────┐
│ VERTICAL            │ CTR   │ CPC   │ CVR   │ ROAS  │
├─────────────────────┼───────┼───────┼───────┼───────┤
│ Fashion & Apparel   │ 1.2%  │ €0.32 │ 2.1%  │ 4.5x  │
│ Electronics         │ 0.7%  │ €0.45 │ 1.5%  │ 3.0x  │
│ Beauty & Cosmetics  │ 1.1%  │ €0.28 │ 2.5%  │ 5.0x  │
│ Home & Garden       │ 0.9%  │ €0.35 │ 1.8%  │ 3.5x  │
│ Sports & Outdoor    │ 1.0%  │ €0.30 │ 2.0%  │ 4.0x  │
│ Food & Beverage     │ 0.8%  │ €0.25 │ 2.2%  │ 4.5x  │
│ Toys & Games        │ 1.3%  │ €0.28 │ 2.3%  │ 4.0x  │
└─────────────────────┴───────┴───────┴───────┴───────┘

Performance Max Benchmarks

PERFORMANCE MAX BENCHMARKS (2025/2026)
══════════════════════════════════════

E-COMMERCE PMAX:
────────────────
├── ROAS: 3.5-5.0x (vs Shopping 4.0x)
├── CPA: Often 10-20% lower than Search alone
├── CVR: 2.0-3.5%
├── Learning phase: 2-4 weeks
└── Impression share: N/A (multi-channel)

2025+ PMAX IMPROVEMENTS (v20-v23):
───────────────────────────────────
├── Campaign-level negative keywords (v20+) — control brand safety
├── Search term insights reporting (v21+) — visible in Insights tab
├── ad_network_type breakdown in GAQL (v22+) — split Search/Display/etc
├── First-party audience exclusions — exclude existing customers
├── Demographic reporting — age/gender breakdown available
└── Budget forecasting — project spend/conversion outcomes

LEAD GEN PMAX:
──────────────
├── CPL: Often 15-25% lower than Search
├── CVR: 3.0-6.0%
├── Lead Quality: Monitor closely (varies)
├── Learning phase: 2-3 weeks
└── Best for: 50+ conversions/month goal

PMAX VS STANDARD SHOPPING:
──────────────────────────
┌───────────────┬──────────────┬──────────────┐
│ METRIC        │ PMAX         │ STD SHOPPING │
├───────────────┼──────────────┼──────────────┤
│ ROAS          │ +10-20%      │ Baseline     │
│ Reach         │ +40-60%      │ Baseline     │
│ CPA           │ -10-20%      │ Baseline     │
│ Control       │ Lower        │ Higher       │
│ Transparency  │ Lower (but   │ Higher       │
│               │ improving!)  │              │
└───────────────┴──────────────┴──────────────┘

PULL PMAX SEARCH TERM INSIGHTS VIA GAQL (v22+):
────────────────────────────────────────────────
google_ads_run_gaql(query="
  SELECT search_term_view.search_term, metrics.clicks,
         metrics.conversions, metrics.cost_micros
  FROM search_term_view
  WHERE campaign.advertising_channel_type = 'PERFORMANCE_MAX'
    AND segments.date DURING LAST_30_DAYS
  ORDER BY metrics.conversions DESC
  LIMIT 50
")

Display & Video Benchmarks

DISPLAY CAMPAIGN BENCHMARKS
═══════════════════════════

┌─────────────────────────┬───────┬───────┬───────┐
│ TYPE                    │ CTR   │ CPM   │ CVR   │
├─────────────────────────┼───────┼───────┼───────┤
│ Remarketing - Website   │ 0.7%  │ €2.50 │ 0.8%  │
│ Remarketing - Cart      │ 1.2%  │ €3.50 │ 1.5%  │
│ In-Market Audiences     │ 0.4%  │ €1.80 │ 0.3%  │
│ Custom Intent           │ 0.5%  │ €2.00 │ 0.4%  │
│ Optimized Targeting     │ 0.3%  │ €1.50 │ 0.2%  │
│ Affinity Audiences      │ 0.2%  │ €1.20 │ 0.1%  │
└─────────────────────────┴───────┴───────┴───────┘

VIDEO/YOUTUBE BENCHMARKS:
─────────────────────────
├── View Rate: 25-35%
├── CPV: €0.02 - €0.06
├── CTR (to website): 0.5-2.0%
├── View-through CVR: 0.5-1.5%
└── Completion rate: 40-60%

DEMAND GEN BENCHMARKS:
──────────────────────
├── CTR: 0.8-1.5%
├── CPC: €0.50-1.50
├── CVR: 1.0-3.0%
├── Best for: Visual products, brand consideration
└── Note: Replaced Discovery campaigns (Aug 2023+)
    Demand Gen supports TargetCPC bidding (v22+)

Lead Generation Benchmarks

CPL Benchmarks per Industry

COST PER LEAD BENCHMARKS (EUR, 2025/2026)
═════════════════════════════════════════

┌────────────────────────────┬──────────┬──────────┬──────────┐
│ INDUSTRY                   │ AVG CPL  │ LOW      │ HIGH     │
├────────────────────────────┼──────────┼──────────┼──────────┤
│ Technology/SaaS            │ €75      │ €30      │ €200     │
│ Financial Services         │ €80      │ €40      │ €250     │
│ Insurance                  │ €60      │ €25      │ €150     │
│ Legal Services             │ €110     │ €50      │ €300     │
│ Healthcare                 │ €70      │ €30      │ €180     │
│ Education                  │ €45      │ €20      │ €100     │
│ Real Estate                │ €50      │ €20      │ €120     │
│ Home Services              │ €40      │ €15      │ €100     │
│ B2B Services               │ €90      │ €40      │ €250     │
│ Marketing/Advertising      │ €55      │ €25      │ €150     │
│ Recruitment                │ €65      │ €30      │ €180     │
│ Consulting                 │ €85      │ €40      │ €220     │
│ Manufacturing              │ €95      │ €45      │ €250     │
└────────────────────────────┴──────────┴──────────┴──────────┘

LEAD QUALITY CONTEXT:
─────────────────────
├── MQL CPL = Avg CPL x 2-3
├── SQL CPL = MQL CPL x 2-3
├── Opportunity CPL = SQL CPL x 2-4
└── Customer Acquisition Cost = Opportunity x Close Rate

Lead Form Conversion Benchmarks

FORM CONVERSION RATES
═════════════════════

BY FORM LENGTH:
───────────────
├── 1-3 fields: 25-30% conversion
├── 4-6 fields: 15-20% conversion
├── 7-10 fields: 10-15% conversion
└── 11+ fields: 5-10% conversion

BY FORM TYPE:
─────────────
├── Contact form: 12-18%
├── Quote request: 8-15%
├── Demo request: 5-12%
├── Newsletter: 20-35%
├── Whitepaper download: 15-25%
└── Free trial: 8-15%

GOOGLE LEAD FORM EXTENSIONS:
────────────────────────────
├── CVR: 5-15%
├── CPL: Often 20-40% lower than LP forms
├── Quality: Usually lower (convenience leads)
└── Best for: High-volume, qualification funnel

Seasonal Benchmarks

Seasonal CPC Trends

SEASONAL CPC FLUCTUATIONS
═════════════════════════

┌───────────────┬────────────┬─────────────────────────────────┐
│ PERIOD        │ CPC CHANGE │ NOTES                           │
├───────────────┼────────────┼─────────────────────────────────┤
│ Jan           │ -15%       │ Post-holiday lull               │
│ Feb           │ -10%       │ Valentine's spike (certain)     │
│ Mar           │ Baseline   │ Spring season start             │
│ Apr           │ +5%        │ Easter, spring shopping         │
│ May           │ +10%       │ Mother's Day, pre-summer        │
│ Jun           │ +5%        │ Summer sales start              │
│ Jul-Aug       │ -5%        │ Summer lull (varies by industry)│
│ Sep           │ +10%       │ Back-to-school, fall season     │
│ Oct           │ +15%       │ Pre-holiday buildup             │
│ Nov           │ +30-50%    │ Black Friday, Cyber Monday      │
│ Dec           │ +40-60%    │ Holiday shopping peak           │
└───────────────┴────────────┴─────────────────────────────────┘

BLACK FRIDAY / CYBER MONDAY BENCHMARKS:
───────────────────────────────────────
├── CPC increase: +40-80%
├── CTR increase: +20-40%
├── CVR increase: +25-50%
├── ROAS impact: Often neutral (higher CPC, higher CVR)
└── Recommendation: Increase budgets 2-3x

Industry-Specific Seasonality

INDUSTRY SEASONAL PATTERNS
══════════════════════════

E-COMMERCE / RETAIL:
────────────────────
Peak: Nov-Dec (holiday), June (sales)
Low: Jan-Feb, Jul-Aug
Strategy: Scale budgets 50-100% for peaks

TRAVEL:
───────
Peak: Jan (booking), Jun-Aug (travel)
Low: Oct-Nov
Strategy: Early year booking campaigns

EDUCATION:
──────────
Peak: Aug-Sep (back-to-school), Jan (new year)
Low: Jun-Jul
Strategy: Lead gen before decision periods

B2B / SAAS:
───────────
Peak: Jan (budget season), Sep-Oct (Q4 push)
Low: Jul-Aug, Dec (holidays)
Strategy: Reduce bids during holidays

HOME SERVICES:
──────────────
Peak: Mar-Jun (spring projects), Sep (pre-winter)
Low: Dec-Feb
Strategy: Weather-dependent bid adjustments

Geographic Benchmarks (Benelux Focus)

Regional CPC Differences

BENELUX CPC DIFFERENCES (vs NL Average)
═══════════════════════════════════════

NETHERLANDS:
────────────
├── Randstad (AMS, RTD, UTR): +20-30%
├── Noord-Holland (other): Baseline
├── Zuid-Holland (other): +5-10%
├── Noord-Brabant: -5-10%
├── Limburg: -10-15%
├── Other regions: -15-25%

BELGIUM:
────────
├── Brussels: +10-20% vs NL average
├── Flanders: -5-15% vs NL average
├── Wallonia: -15-25% vs NL average

GERMANY (if targeting):
───────────────────────
├── Munich, Frankfurt: +30-50% vs NL
├── Berlin, Hamburg: +20-30% vs NL
├── Other: Comparable to NL
└── Overall: German market 2-3x larger, similar CPCs

RECOMMENDATION:
───────────────
├── Budget allocation: Match to population/purchasing power
├── Bid adjustments: -10% to -20% for lower-value regions
├── Separate campaigns: If significant budget differences
└── Language: NL/DE/FR separate campaigns

Quick Reference Tables

Universal Benchmark Cheat Sheet

QUICK REFERENCE - ALL CAMPAIGN TYPES
════════════════════════════════════

                    │ POOR      │ AVERAGE   │ GOOD      │ EXCELLENT
────────────────────┼───────────┼───────────┼───────────┼───────────
SEARCH CTR          │ <2%       │ 2-4%      │ 4-6%      │ >6%
SEARCH CVR          │ <2%       │ 2-4%      │ 4-6%      │ >6%
SEARCH CPA          │ >€100     │ €50-100   │ €25-50    │ <€25
────────────────────┼───────────┼───────────┼───────────┼───────────
SHOPPING CTR        │ <0.5%     │ 0.5-1%    │ 1-2%      │ >2%
SHOPPING CVR        │ <1%       │ 1-2%      │ 2-3%      │ >3%
SHOPPING ROAS       │ <2x       │ 2-4x      │ 4-6x      │ >6x
────────────────────┼───────────┼───────────┼───────────┼───────────
PMAX CVR            │ <1.5%     │ 1.5-3%    │ 3-5%      │ >5%
PMAX ROAS           │ <2.5x     │ 2.5-4x    │ 4-6x      │ >6x
────────────────────┼───────────┼───────────┼───────────┼───────────
DISPLAY CTR         │ <0.2%     │ 0.2-0.5%  │ 0.5-1%    │ >1%
DISPLAY CVR         │ <0.2%     │ 0.2-0.5%  │ 0.5-1%    │ >1%
────────────────────┼───────────┼───────────┼───────────┼───────────
VIDEO VIEW RATE     │ <20%      │ 20-30%    │ 30-40%    │ >40%
VIDEO CTR           │ <0.5%     │ 0.5-1%    │ 1-2%      │ >2%
────────────────────┼───────────┼───────────┼───────────┼───────────
QUALITY SCORE       │ 1-4       │ 5-6       │ 7-8       │ 9-10

Output: Benchmark Comparison Report

# Benchmark Comparison Report

## Account Overview
- **Account:** [Account Name]
- **Industry:** [Industry]
- **Report Period:** [Date Range]
- **Compared Against:** Industry Benchmarks 2025/2026



See [benchmarks.md](references/benchmarks.md) for details.



## Priority Improvements

### High Priority (Below Average)
1. [Metric]: Currently X.XX%, target X.XX%
   - Recommended action: [Action]

### Medium Priority (At Average)
1. [Metric]: Currently X.XX%, opportunity to reach X.XX%
   - Recommended action: [Action]

## Seasonal Outlook
- Current month benchmark adjustments: [+/-X%]
- Upcoming opportunities: [Holidays, seasons]
- Recommended budget changes: [Increase/maintain]

## Next Steps
1. [ ] Address high-priority gaps
2. [ ] A/B test improvements
3. [ ] Re-benchmark in [X weeks]

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