Multi-location benchmark pages are useful for healthcare groups, retail chains, and service brands where local variation must be balanced with central oversight. Location-level CPL, booked rate, review impact, and benchmark variance across markets.
Use these labeled KPIs together instead of judging multi-location 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 |
Location-level CPL, booked rate, review impact, and benchmark variance across markets. Benchmarks should be interpreted with contextual commentary, not as standalone averages.
| Business Type | Average | Median | Top Quartile | Bottom Quartile |
|---|---|---|---|---|
| Multi-Location | $63 | $51 | $33 | $99 |
These are the main drivers that typically explain why the same headline metric changes across channels, industries, and conversion contexts.
| Factor | Why It Matters |
|---|---|
| Location density and brand equity | Changes how location-level cpl, booked rate, review impact, and benchmark variance across markets. |
| Review quality and local reputation | Changes how location-level cpl, booked rate, review impact, and benchmark variance across markets. |
| Regional staffing and booking performance | Changes how location-level cpl, booked rate, review impact, and benchmark variance across markets. |
Multi-location benchmark pages are useful for healthcare groups, retail chains, and service brands where local variation must be balanced with central oversight.
Multi-location pages should show the spread between top and bottom locations so benchmarking can drive prioritization and operational lift.
Multi-location pages should show the spread between top and bottom locations so benchmarking can drive prioritization and operational lift.
Multi-location pages should show the spread between top and bottom locations so benchmarking can drive prioritization and operational lift.
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 are most useful when they show location variance and help teams prioritize where to improve marketing or operations next.
They benchmark location-level spread instead of only a blended network average because operational quality varies widely across locations.