Suburban benchmark pages help teams compare local demand where cost pressure is often lower than urban cores but intent and conversion quality remain strong. Suburban CPL, call rate, store-visit efficiency, and regional competitive spread.
Use these labeled KPIs together instead of judging suburban 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 |
Suburban CPL, call rate, store-visit efficiency, and regional competitive spread. Benchmarks should be interpreted with contextual commentary, not as standalone averages.
| Country | Average | Median | Top Quartile | Bottom Quartile |
|---|---|---|---|---|
| Suburban | $57 | $48 | $31 | $87 |
These are the main drivers that typically explain why the same headline metric changes across channels, industries, and conversion contexts.
| Factor | Why It Matters |
|---|---|
| Commuter and family-oriented demand patterns | Changes how suburban cpl, call rate, store-visit efficiency, and regional competitive spread. |
| Broader service radii and local coverage expectations | Changes how suburban cpl, call rate, store-visit efficiency, and regional competitive spread. |
| Mixed mobile and desktop conversion behavior | Changes how suburban cpl, call rate, store-visit efficiency, and regional competitive spread. |
Suburban benchmark pages help teams compare local demand where cost pressure is often lower than urban cores but intent and conversion quality remain strong.
Suburban markets often show healthier efficiency than dense urban cores, but demand quality can depend heavily on service coverage and offer clarity.
Suburban markets often show healthier efficiency than dense urban cores, but demand quality can depend heavily on service coverage and offer clarity.
Suburban markets often show healthier efficiency than dense urban cores, but demand quality can depend heavily on service coverage and offer clarity.
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 most useful when broader metro benchmarks hide meaningful differences between suburban local demand and dense urban competition.
Clear offer fit, service-area coverage, and stronger local proof often create the clearest gains.