Directory-profile benchmark pages matter for marketplaces, partner ecosystems, local directories, and review platforms where trust and category fit determine whether a visitor clicks deeper or reaches out. Profile click-through, lead rate, contact intent, and assisted conversion quality.
Use these labeled KPIs together instead of judging directory profile 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 |
Profile click-through, lead rate, contact intent, and assisted conversion quality. Benchmarks should be interpreted with contextual commentary, not as standalone averages.
| Asset | Average | Median | Top Quartile | Bottom Quartile |
|---|---|---|---|---|
| Directory Profile | 3.1% | 2.4% | 5.3% | 1.0% |
These are the main drivers that typically explain why the same headline metric changes across channels, industries, and conversion contexts.
| Factor | Why It Matters |
|---|---|
| Category relevance and how clearly the profile matches the user intent | Changes how profile click-through, lead rate, contact intent, and assisted conversion quality. |
| Trust signals such as reviews, verification, proof, and specialization details | Changes how profile click-through, lead rate, contact intent, and assisted conversion quality. |
| How cleanly the profile routes into contact, compare, or website actions | Changes how profile click-through, lead rate, contact intent, and assisted conversion quality. |
Directory-profile benchmark pages matter for marketplaces, partner ecosystems, local directories, and review platforms where trust and category fit determine whether a visitor clicks deeper or reaches out.
Directory profiles usually perform best when they create immediate trust, clarify fit fast, and route visitors into the right next action without forcing them to guess what happens next.
Directory profiles usually perform best when they create immediate trust, clarify fit fast, and route visitors into the right next action without forcing them to guess what happens next.
Directory profiles usually perform best when they create immediate trust, clarify fit fast, and route visitors into the right next action without forcing them to guess what happens next.
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.
Strong profiles usually combine high-fit positioning, obvious trust signals, and a clear next step that matches the visitor’s research stage.
They have their own benchmark logic because users often treat them as trust-validation pages before they convert somewhere else.