iOS benchmark pages help teams compare Apple-device behavior where privacy controls, higher purchase power, and stronger app-store expectations change the economics. Conversion rate, CPI, purchase quality, retention, and privacy-constrained attribution behavior.
Use these labeled KPIs together instead of judging ios 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 |
Conversion rate, CPI, purchase quality, retention, and privacy-constrained attribution behavior. Benchmarks should be interpreted with contextual commentary, not as standalone averages.
| Device | Average | Median | Top Quartile | Bottom Quartile |
|---|---|---|---|---|
| iOS | 3.6% | 2.9% | 5.4% | 1.4% |
These are the main drivers that typically explain why the same headline metric changes across channels, industries, and conversion contexts.
| Factor | Why It Matters |
|---|---|
| Privacy constraints and attribution signal loss | Changes how conversion rate, cpi, purchase quality, retention, and privacy-constrained attribution behavior. |
| Higher-value device ownership and commerce behavior | Changes how conversion rate, cpi, purchase quality, retention, and privacy-constrained attribution behavior. |
| App-store and in-app experience quality | Changes how conversion rate, cpi, purchase quality, retention, and privacy-constrained attribution behavior. |
iOS benchmark pages help teams compare Apple-device behavior where privacy controls, higher purchase power, and stronger app-store expectations change the economics.
iOS often carries higher-value users and more expensive acquisition, so benchmark context should balance cost pressure against downstream customer quality.
iOS often carries higher-value users and more expensive acquisition, so benchmark context should balance cost pressure against downstream customer quality.
iOS often carries higher-value users and more expensive acquisition, so benchmark context should balance cost pressure against downstream customer quality.
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 be separated because platform privacy behavior, user economics, and app expectations often differ materially from Android or mobile web.
Use acquisition cost, conversion quality, and retention together so higher front-end costs are weighed against downstream value.