Display advertising benchmarks, minus the hype, updated for 2027

What to take away

The display benchmark numbers on the table

Three sources get cited most often for display advertising benchmarks, and each one is built differently.

WordStream's published display averages sit near 0.46% CTR and $0.63 CPC across industries. HubSpot's cross-industry display figure is about 0.64%. The two do not measure the same accounts, so the gap is expected, not a contradiction.

Statista does not publish a CTR. It publishes spend, which is the number to reach for when someone asks how big display is rather than how well it performs.

For 2027 planning, the published ranges look like this. No complete 2027 calendar-year benchmark set exists yet, so these are typical bands from annual reports and platform averages.

WordStream's Google Display Network report also lists a conversion rate near 0.72% and a cost per conversion near $61. The implied CPM at 0.46% CTR and $0.63 CPC is about $2.90.

DoubleVerify and Integral Ad Science publish viewability ranges by device and market. Recent global reports put display viewability in the 60% to 75% band for desktop and 55% to 70% for mobile web.

Declared units or nothing

A benchmark is a rate: a numerator over a denominator over a period. WordStream divides clicks by impressions across its contributing accounts. If your denominator counts served impressions and theirs counts rendered impressions, the two rates are not comparable. No amount of industry matching fixes that.

The MRC-hosted Click Measurement Guidelines define minimum click-counting procedures and address invalid or fraudulent clicks. The 2009 scope is technical and dated. It sets no desirable click-through rate and proves no business value.

The MRC and IAB define viewable display as 50% of pixels in view for at least one continuous second. That is a measurement floor, not a performance goal.

Before comparing your account to any published figure, write down five things: the population, the period, the inclusion rules, the currency and the maturity window. A benchmark becomes useful only after your team explains why that comparison group fits the decision.

Where a benchmark stops being useful

The GAO report on DOD advertising performance measurement separates awareness, engagement and lead-generation purposes, and documents measurement gaps in that specific setting. It offers no commercial display benchmark for anyone else.

That distinction matters because display buys are usually doing more than one job. A prospecting line item and a retargeting line item can share a format and a placement and still have no business being averaged together.

The GAO evaluation design guide on evidence and design choices links the evaluation question to the evidence it needs. The NIST experimental design guidance starts design selection with the objective and the practical constraints. Both point the same way: reporting a benchmark and estimating a causal effect are separate jobs.

Build the internal range

Pull twelve months of your own display data. Split it by prospecting, retargeting, existing customer, format and market. Report counts beside every rate, and use medians and percentiles rather than a single average.

Then set action thresholds before the review, not after. A typical pair looks like this: investigate when CTR falls below half the trailing twelve-month median for that cohort, and pause when cost per qualified lead exceeds your target by more than the margin the lead carries.

Allow outcomes to mature. A recent cohort can look profitable before disqualifications, returns, cancellations or delayed platform fees arrive. Preserve the original report, restate it when material evidence changes, and record why the decision did or did not move.

Use the 2027 planning ranges above as guardrails, not goals.

Watch what the target rewards

Every metric can be gamed. A click target rewards curiosity or a misleading button. A viewability target concentrates spend in expensive placements. A conversion target favors people who already intended to buy.

Pair each target with a quality check. The hidden-price and unsafe-inventory problems that show up in display advertising mistakes usually surface first as a metric that looks too good for its cohort.

Metric definitions drift between the platform interface, the export, the meeting note and the correction log. Use the same definitions in all four, and keep the evidence record beside the decision so a reviewer can reproduce the reasoning without your memory.

Read next: Display advertising: signal versus noise

Read next: Paid social advertising benchmarks with the caveats attached, 2027 edition

Common questions

What is a good display click-through rate?

There is no universal rate. WordStream's display average is roughly 0.46% and HubSpot's is roughly 0.64%, but both blend industries, formats and objectives. Compare like-for-like cohorts inside your own account and judge the qualified business path beyond the click. A 2027 planning band of 0.35% to 0.65% for run-of-network display is a context check, not a goal.

Is a high viewability rate always better?

No. Viewability measures whether an impression had the opportunity to be seen, not whether it did anything. Weigh measurable coverage, inventory quality, price, reach and outcome together. Add incrementality before you let a viewability target steer budget. The MRC and IAB standard is 50% of pixels in view for one continuous second.

Which benchmark should leadership see?

Show mature net outcomes, full cost, uncertainty, capacity and the action boundary for the decision. A published CTR is context for whether your account is in a normal range, not a performance target to manage against.

Why do the published display averages disagree?

Because they draw on different account panels, different periods and different filtering. WordStream aggregates advertiser accounts across the Google Display Network; HubSpot blends survey and platform data across channels. Two honest sources can publish different averages and both be right.