Compare benchmark targets by awareness, traffic, engagement, lead generation, sales, and retention objectives.
A practical KPI stack for comparing objectives. Use the conversion-type dropdown above to recalculate conversion-sensitive metrics before opening a more specific page.
| 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 |
| Objective | Benchmark Focus | Primary Median |
|---|---|---|
| Awareness | CPM, reach cost, view rate, and quality frequency. | $8.80 |
| Traffic | CTR, CPC, landing page view rate, and engaged sessions. | 1.5% |
| Engagement | Engagement rate, CPC, view rate, and assisted conversion lift. | 3.6% |
| Lead Generation | CPL, lead rate, MQL rate, and qualified pipeline per lead. | $48 |
| Sales | Purchase rate, CPA, ROAS, AOV, and contribution margin. | 2.9x |
| Registrations | Registration rate, cost per registration, show or activation rate, and nurture progression. | 13% |
| Bookings | Booked rate, show rate, cost per booking, and close rate. | 8.1% |
| Retention | Repeat purchase rate, renewal rate, churn, and revenue per customer message. | 22% |
| Pipeline Generation | Qualified pipeline rate, cost per opportunity, meeting-to-opportunity progression, and pipeline value. | 1.7% |
| App Installs | Install rate, CPI, activation rate, and retained-user efficiency. | 16.8% |
| Store Visits | Store-visit rate, cost per visit, local intent efficiency, and location-level lift. | 6.2% |
| Video Views | View rate, completion rate, CPM, engaged watch share, and warm-audience creation. | 26% |
| Reactivation | Reactivation rate, cost per reactivated user, repeat purchase or return-to-product behavior, and churn recovery. | 2.4% |
| Profitability | POAS, MER, payback period, CAC efficiency, and contribution margin quality. | 2.0x |
Each campaign objective optimizes for something different, so one benchmark target cannot fit them all.
Each hub connects to broader benchmark context and more specific breakdowns — so you can move from a general question to a benchmark range that fits your actual campaign.
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), AdLiftr Snapchat Ads Cost Benchmarks (2026), Ad Badger Amazon Advertising Benchmarks (2026). 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.
Compare benchmark targets by awareness, traffic, engagement, lead generation, sales, and retention objectives. Using a single blended average across all objectives hides the performance differences that matter most for campaign planning.
Start with the hub to find the objective that matches your campaign context, then use the median as a baseline target and the P75 as an achievable stretch goal. Avoid using benchmarks from a different objective as your target — the ranges can differ significantly.