Video-view objective benchmarks are useful when the campaign is optimized for attention, watch-through, and audience building rather than direct-response conversion. View rate, completion rate, CPM, engaged watch share, and warm-audience creation.
Use these labeled KPIs together instead of judging video views 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 |
View rate, completion rate, CPM, engaged watch share, and warm-audience creation. Benchmarks should be interpreted with contextual commentary, not as standalone averages.
| Objective | Average | Median | Top Quartile | Bottom Quartile |
|---|---|---|---|---|
| Video Views | 31% | 26% | 44% | 13% |
These are the main drivers that typically explain why the same headline metric changes across channels, industries, and conversion contexts.
| Factor | Why It Matters |
|---|---|
| Hook quality and format-native editing | Changes how view rate, completion rate, cpm, engaged watch share, and warm-audience creation. |
| Audience breadth and platform delivery behavior | Changes how view rate, completion rate, cpm, engaged watch share, and warm-audience creation. |
| Whether the video is building a useful retargeting pool afterward | Changes how view rate, completion rate, cpm, engaged watch share, and warm-audience creation. |
Video-view objective benchmarks are useful when the campaign is optimized for attention, watch-through, and audience building rather than direct-response conversion.
Video-view objectives should be judged on attention quality and the warm audiences they create, not just cheap impressions or isolated click-through rates.
Video-view objectives should be judged on attention quality and the warm audiences they create, not just cheap impressions or isolated click-through rates.
Video-view objectives should be judged on attention quality and the warm audiences they create, not just cheap impressions or isolated click-through rates.
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 have their own benchmarks because the optimization system is trying to maximize attention, not immediate clicks or purchases.
Use view rate, completion, CPM, and the quality of the resulting warm audience so the objective is judged on the right job.