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.
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.