tools-only Campaign Metrics Benchmarks
Industry benchmark reference for marketing campaign performance metrics. Use these benchmarks to contextualize your campaign results, identify underperformance, and set realistic targets.
How to Use This Reference
- Find your industry vertical and channel combination
- Compare your actual metrics to the benchmark ranges
- Use the assessment scale: Below Low = underperforming, Low-Target = below target, Target-High = good, Above High = excellent
- Adjust targets based on your historical performance (your own data is always the best benchmark)
Click-Through Rate (CTR) Benchmarks
CTR = (Clicks / Impressions) * 100
By Channel (Cross-Industry Average)
| Channel | Low | Target | High | Notes |
|---|---|---|---|---|
| 1.0% | 2.5% | 5.0% | Highly dependent on list quality and segmentation | |
| Paid Search (Google) | 1.5% | 3.5% | 7.0% | Brand keywords typically 5-10%, generic 1-3% |
| Paid Social (Facebook) | 0.5% | 1.2% | 3.0% | Video ads trend higher, static lower |
| Paid Social (LinkedIn) | 0.3% | 0.8% | 2.0% | B2B focused, lower volume but higher intent |
| Display Ads | 0.05% | 0.10% | 0.50% | Retargeting typically 0.5-1.0% |
| Organic Search | 1.5% | 3.0% | 8.0% | Position 1 averages 28-31% CTR |
| Organic Social | 0.5% | 1.5% | 4.0% | Platform algorithm changes affect significantly |
| Referral | 1.0% | 3.0% | 6.0% | Quality of referring site matters greatly |
| Direct | 2.0% | 4.0% | 8.0% | Highest intent channel |
By Industry (Paid Search)
| Industry | Average CTR | Low | High |
|---|---|---|---|
| B2B | 2.4% | 1.5% | 4.0% |
| E-commerce | 2.7% | 1.8% | 5.0% |
| Education | 3.3% | 2.0% | 6.0% |
| Finance & Insurance | 2.9% | 1.5% | 5.5% |
| Healthcare | 3.3% | 2.0% | 5.0% |
| Legal | 2.9% | 1.5% | 5.0% |
| Real Estate | 3.7% | 2.5% | 6.0% |
| Retail | 2.5% | 1.5% | 5.0% |
| SaaS | 2.1% | 1.2% | 3.5% |
| Technology | 2.1% | 1.0% | 4.0% |
| Travel & Hospitality | 4.7% | 3.0% | 8.0% |
Cost Per Click (CPC) Benchmarks
CPC = Spend / Clicks
By Channel (USD)
| Channel | Low | Target | High | Notes |
|---|---|---|---|---|
| Google Search | $0.50 | $2.50 | $8.00 | Legal/finance can exceed $50 per click |
| Google Display | $0.10 | $0.50 | $2.00 | Programmatic can be lower |
| $0.30 | $1.00 | $3.00 | B2C typically lower than B2B | |
| $2.00 | $5.50 | $12.00 | Highest CPC among social platforms | |
| $0.40 | $1.20 | $3.50 | Stories ads trending lower | |
| Twitter/X | $0.20 | $0.80 | $2.50 | High variability by topic |
| TikTok | $0.10 | $0.50 | $2.00 | Rapidly evolving, currently lower |
By Industry (Google Ads)
| Industry | Average CPC | Range |
|---|---|---|
| Automotive | $2.46 | $1.00-$6.00 |
| B2B | $3.33 | $1.50-$8.00 |
| E-commerce | $1.16 | $0.50-$3.00 |
| Education | $2.40 | $1.00-$5.00 |
| Finance & Insurance | $3.44 | $1.00-$50.00 |
| Healthcare | $2.62 | $1.00-$6.00 |
| Legal | $6.75 | $2.00-$100.00 |
| Real Estate | $2.37 | $1.00-$5.00 |
| SaaS/Technology | $3.80 | $1.50-$10.00 |
| Travel | $1.53 | $0.50-$4.00 |
Cost Per Mille / Thousand Impressions (CPM) Benchmarks
CPM = (Spend / Impressions) * 1000
By Channel (USD)
| Channel | Low | Target | High | Notes |
|---|---|---|---|---|
| $3.00 | $8.00 | $15.00 | Q4 holiday season can exceed $20 | |
| $4.00 | $10.00 | $18.00 | Reels ads trending lower | |
| $8.00 | $25.00 | $50.00 | Premium B2B audience | |
| Google Display | $1.00 | $3.50 | $8.00 | Programmatic ranges widely |
| TikTok | $2.00 | $6.00 | $12.00 | Growing platform, rates increasing |
| YouTube | $4.00 | $10.00 | $20.00 | Pre-roll vs discovery ads vary |
| Programmatic Display | $0.50 | $2.00 | $6.00 | Dependent on targeting precision |
Cost Per Acquisition (CPA) Benchmarks
CPA = Spend / Customers Acquired
By Channel (USD)
| Channel | Low | Target | High | Notes |
|---|---|---|---|---|
| $5 | $15 | $40 | Existing list; acquisition cost amortized | |
| Paid Search | $20 | $50 | $150 | Highly dependent on industry and competition |
| Paid Social | $15 | $40 | $100 | Retargeting typically lower |
| Display | $30 | $75 | $200 | Awareness-focused; higher CPA expected |
| Organic Search | $5 | $20 | $60 | Excludes SEO investment costs |
| Organic Social | $10 | $30 | $80 | Content production costs excluded |
| Referral | $10 | $25 | $70 | Referral incentive costs included |
By Industry (Across Channels)
| Industry | Average CPA | Acceptable Range |
|---|---|---|
| B2B SaaS | $150-$400 | $75-$700 |
| E-commerce | $25-$80 | $10-$150 |
| Education | $40-$120 | $20-$250 |
| Finance | $75-$200 | $30-$500 |
| Healthcare | $50-$150 | $25-$300 |
| Legal | $100-$300 | $50-$700 |
| Real Estate | $60-$180 | $30-$350 |
| Retail | $15-$50 | $8-$100 |
| Travel | $20-$70 | $10-$150 |
Cost Per Lead (CPL) Benchmarks
CPL = Spend / Leads Generated
By Channel (USD)
| Channel | Low | Target | High |
|---|---|---|---|
| $3 | $10 | $25 | |
| Paid Search | $15 | $35 | $90 |
| Paid Social (Facebook) | $8 | $20 | $50 |
| Paid Social (LinkedIn) | $25 | $75 | $150 |
| Display | $20 | $50 | $120 |
| Content Marketing | $10 | $30 | $80 |
| Webinars | $30 | $70 | $150 |
By Industry
| Industry | Average CPL | Range |
|---|---|---|
| B2B SaaS | $50-$150 | $25-$300 |
| E-commerce | $10-$30 | $5-$60 |
| Education | $25-$70 | $15-$150 |
| Financial Services | $40-$120 | $20-$250 |
| Healthcare | $30-$90 | $15-$180 |
| Manufacturing | $50-$120 | $25-$200 |
| Technology | $40-$100 | $20-$200 |
Return on Ad Spend (ROAS) Benchmarks
ROAS = Revenue / Ad Spend
By Channel
| Channel | Low | Target | High | Notes |
|---|---|---|---|---|
| 30x | 42x | 60x | Highest ROAS channel when list is healthy | |
| Paid Search (Brand) | 8x | 15x | 30x | Brand terms have high ROAS |
| Paid Search (Generic) | 2x | 4x | 8x | Competitive; ROAS varies widely |
| Paid Social | 1.5x | 3x | 6x | Retargeting typically 4-10x |
| Display | 0.5x | 1.5x | 3x | Often used for awareness; lower direct ROAS |
| Organic Search | 5x | 10x | 20x | Excludes SEO investment amortization |
| Organic Social | 3x | 6x | 12x | Excludes content production costs |
By Industry
| Industry | Minimum Viable ROAS | Target ROAS |
|---|---|---|
| E-commerce (low margin) | 4x | 8x+ |
| E-commerce (high margin) | 2x | 4x+ |
| SaaS | 3x | 6x+ |
| B2B Services | 5x | 10x+ |
| Retail | 3x | 5x+ |
| DTC Brands | 2.5x | 5x+ |
ROAS Calculation Notes
- Breakeven ROAS = 1 / Profit Margin (e.g., 25% margin = 4x breakeven)
- Target ROAS should be at least 2x the breakeven ROAS for sustainable growth
- Always include all costs (media, creative, tools, labor) for true ROAS
Conversion Rate Benchmarks
Landing Page Conversion Rate
| Industry | Low | Average | High |
|---|---|---|---|
| B2B SaaS | 2.0% | 4.5% | 9.0% |
| E-commerce | 1.5% | 3.0% | 6.0% |
| Education | 2.5% | 5.5% | 10.0% |
| Finance | 2.0% | 5.0% | 11.0% |
| Healthcare | 2.0% | 4.0% | 8.0% |
| Legal | 3.0% | 7.0% | 13.0% |
| Real Estate | 2.0% | 4.5% | 8.0% |
| Travel | 2.0% | 4.0% | 9.0% |
Email Conversion Rates
| Metric | Low | Average | High |
|---|---|---|---|
| Open Rate | 15% | 22% | 35% |
| Click Rate | 1.0% | 2.5% | 5.0% |
| Click-to-Open Rate | 8% | 12% | 20% |
| Unsubscribe Rate | 0.1% | 0.2% | 0.5% |
Seasonal Adjustments
Campaign benchmarks fluctuate by season. Apply these adjustment factors to normalize your comparisons:
| Quarter | CPC Adjustment | CPM Adjustment | CVR Adjustment |
|---|---|---|---|
| Q1 (Jan-Mar) | -10% to -15% | -15% to -20% | Baseline |
| Q2 (Apr-Jun) | Baseline | Baseline | Baseline |
| Q3 (Jul-Sep) | +5% to +10% | +5% to +10% | -5% |
| Q4 (Oct-Dec) | +15% to +30% | +20% to +40% | +10% to +20% |
Key seasonal events:
- Black Friday/Cyber Monday: CPMs can increase 50-100%
- January: Lowest competition, good for testing
- Back-to-School (Aug-Sep): Education and retail spike
- Tax Season (Jan-Apr): Finance vertical spike
Using Benchmarks Effectively
Do
- Compare against your own historical data first, then industry benchmarks
- Account for seasonality when comparing time periods
- Consider your funnel position (awareness vs conversion campaigns have different benchmarks)
- Update benchmarks annually as industry norms shift
Do Not
- Treat benchmarks as absolute targets (your business context matters more)
- Compare across industries without adjustment
- Ignore sample size (small campaigns have high variance)
- Use benchmarks to justify cutting channels without understanding their full-funnel role