State and province benchmarks help teams compare local competition, licensing constraints, and conversion quality across large regions within the same country. Regional CPC, CPL, call rate, and conversion variance by state or province.
Use these labeled KPIs together instead of judging state / province performance from one headline number. Conversion-sensitive metrics update when you change the conversion type above.
| Metric | Median | Top Quartile | What It Tells You |
|---|---|---|---|
| CTR | 2.4% | 4.1% | Creative and message-to-audience fit |
| CPC | $2.80 | $1.65 | Click acquisition efficiency |
| CVR | 3.4% | 6.2% | Landing-page and offer effectiveness |
| CPA | $82 | $45 | Cost to generate the selected conversion |
| CPM | $12.40 | $7.80 | Auction pressure and reach efficiency |
| ROAS | 3.1x | 5.2x | Revenue efficiency where purchase value is tracked |
Regional CPC, CPL, call rate, and conversion variance by state or province. Benchmarks should be interpreted with contextual commentary, not as standalone averages.
| Country | Average | Median | Top Quartile | Bottom Quartile |
|---|---|---|---|---|
| State / Province | $61 | $52 | $34 | $97 |
These are the main drivers that typically explain why the same headline metric changes across channels, industries, and conversion contexts.
| Factor | Why It Matters |
|---|---|
| Regional competition and service coverage | Changes how regional cpc, cpl, call rate, and conversion variance by state or province. |
| Licensing and regulatory limitations | Changes how regional cpc, cpl, call rate, and conversion variance by state or province. |
| Urban vs rural demand concentration | Changes how regional cpc, cpl, call rate, and conversion variance by state or province. |
State and province benchmarks help teams compare local competition, licensing constraints, and conversion quality across large regions within the same country.
State-level pages should explain why compliance, service availability, and market saturation create benchmark spread across regional markets.
State-level pages should explain why compliance, service availability, and market saturation create benchmark spread across regional markets.
State-level pages should explain why compliance, service availability, and market saturation create benchmark spread across regional markets.
The Benchmarketing 4-Band Method. The Benchmarketing 4-Band Method reads every marketing metric against four percentile bands — P25 (bottom quartile), median, P75 (top quartile), and elite (top ~10%) — for a specific industry and channel, instead of a single cross-industry average. Averages blend brand and non-brand campaigns, $500/month and $500,000/month accounts, and unrelated industries into a number almost nobody actually has.
Where the numbers come from. The figures on this page come from the Benchmarketing benchmark dataset — thousands of curated benchmark observations across channels, industries, and US metro areas. Every statistic traces to a named source: WordStream Google Ads Benchmarks (2024), Meta Business Insights (2024), HubSpot Email Marketing Report (2024), Unbounce Conversion Benchmark Report (2024), Databox Marketing Benchmark Report (2024), Benchmarketing Platform Data (2023–2024). Benchmarketing does not publish anonymous "studies show" figures.
The Benchmarketing position. Beating the cross-industry average is a vanity milestone, not a target. Compare your number to the P25–P75 band for your specific industry and channel; if you are above average but below your industry's P75, you are leaving performance on the table.
They need real operational and benchmark variance, not just a renamed copy of a country page.
They vary sharply because competition, geography, regulation, and customer behavior are not evenly distributed across regions.