Device Benchmarks 2026

Compare performance by device and environment so benchmarks reflect the user experience and measurement reality.

Last updated March 2026

Devices Cross-Metric Benchmark Snapshot

A practical KPI stack for comparing devices. Use the conversion-type dropdown above to recalculate conversion-sensitive metrics before opening a more specific page.

MetricMedianTop QuartileWhat It Tells You
CTR2.4%4.1%Creative and message-to-audience fit
CPC$2.80$1.65Click acquisition efficiency
CVR3.4%6.2%Landing-page and offer effectiveness
CPA$82$45Cost to generate the selected conversion
CPM$12.40$7.80Auction pressure and reach efficiency
ROAS3.1x5.2xRevenue efficiency where purchase value is tracked

These ranges are a cross-device planning baseline. Use the detail pages below for context-specific targets.

Devices Included In This Hub

DeviceBenchmark FocusPrimary Median
MobileCTR, LPV rate, conversion rate, call rate, and checkout completion.1.8%
DesktopSession quality, form completion, conversion rate, and revenue per visitor.3.3%
TabletSession depth, conversion rate, AOV, and browsing-to-purchase behavior.2.8%
AppInstall-to-activation rate, in-app conversion, retention, and cost per activated user.11%
CTVCPM, completion rate, branded search lift, and assisted conversion impact.$24
iOSConversion rate, CPI, purchase quality, retention, and privacy-constrained attribution behavior.2.9%
AndroidConversion rate, CPI, session quality, and activation efficiency across Android traffic.2.2%
WebLanding page view rate, form completion, purchase rate, and revenue per visit in browser environments.2.5%

Why Devices Need Their Own Benchmarks

Context changes what the number means

Read device benchmarks together with conversion type, geography, and objective, because UX and attribution strongly influence device outcomes.

Navigate from general to specific

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.

How To Use Devices Benchmarks

  1. Start with the hub — Browse the devices listed below to identify which breakdown fits your campaign question.
  2. Move into the detail page — Each detail page includes median, P25, P75, and elite-performer ranges so you can set a realistic target rather than optimizing toward a generic average.
  3. Check the methodology — Benchmark interpretation improves when you understand how the data was grouped. Check the methodology note on each detail page if you need confidence in a specific range.

How Benchmarketing reads these benchmarks

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.

Frequently asked questions

Why do devices have different benchmark ranges?

Compare performance by device and environment so benchmarks reflect the user experience and measurement reality. Using a single blended average across all devices hides the performance differences that matter most for campaign planning.

How should I use these benchmarks?

Start with the hub to find the device 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 device as your target — the ranges can differ significantly.

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