Evaluation-stage benchmarks cover users comparing options, reading proof, and looking for evidence that narrows a shortlist. Engaged time, content conversion, demo-assist rate, and comparison-page conversion.
Use these labeled KPIs together instead of judging evaluation 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 |
Engaged time, content conversion, demo-assist rate, and comparison-page conversion. Benchmarks should be interpreted with contextual commentary, not as standalone averages.
| Funnel Stage | Average | Median | Top Quartile | Bottom Quartile |
|---|---|---|---|---|
| Evaluation | 3.6% | 2.9% | 5.8% | 1.2% |
These are the main drivers that typically explain why the same headline metric changes across channels, industries, and conversion contexts.
| Factor | Why It Matters |
|---|---|
| Strength of proof and differentiation | Changes how engaged time, content conversion, demo-assist rate, and comparison-page conversion. |
| Content depth and decision support | Changes how engaged time, content conversion, demo-assist rate, and comparison-page conversion. |
| CTA fit for a mid-intent visitor | Changes how engaged time, content conversion, demo-assist rate, and comparison-page conversion. |
Evaluation-stage benchmarks cover users comparing options, reading proof, and looking for evidence that narrows a shortlist.
Evaluation-stage pages do their best work when they remove uncertainty and make the next step feel lower risk and more specific.
Evaluation-stage pages do their best work when they remove uncertainty and make the next step feel lower risk and more specific.
Evaluation-stage pages do their best work when they remove uncertainty and make the next step feel lower risk and more specific.
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 a useful support layer because users in evaluation behave differently from broad consideration or immediate purchase visitors.
Specific proof, clear tradeoff framing, and next-step CTAs that match buyer readiness usually drive the best performance.