What counts as a good click-through rate, by industry

"Is our click-through rate good" is a question that genuinely can't be answered without knowing the industry and the ad format, and yet clients frequently compare their number against a single generic benchmark pulled from an unrelated source. We keep industry-specific ranges precisely because the generic average misleads more than it helps.

Legal and insurance search ads, high commercial intent, high competition, typically see CTRs in the 4 to 6 percent range on well-optimized campaigns. Ecommerce search ads for broader, more browsing-oriented queries often sit lower, 2 to 3 percent, without that indicating a worse-performing campaign, just a different intent profile behind the search.

Display network CTRs sit dramatically lower than search, often well under 1 percent, because display reaches people who weren't actively looking for anything. Comparing a display campaign's CTR against a search campaign's benchmark, a mistake we see surprisingly often, produces a false sense of underperformance that has nothing to do with actual campaign quality.

A shopping ad with a product image and price shown directly in results tends to see different CTR patterns than a text-only search ad, and top-of-page placement versus a lower position on the same page shifts the number further still. We compare CTR within the same format and position category, not just within the same industry, for a fair read.

A high CTR with a poor landing page conversion rate is a campaign attracting clicks without attracting the right intent, or one sending traffic to a page that isn't converting it. We report CTR alongside conversion rate and cost per acquisition together, specifically so a client doesn't celebrate a strong CTR that isn't actually translating into results.

Comparing this month's CTR against last month's without accounting for known seasonal demand shifts, a retail client's pre-holiday period against a quiet January, produces a misleading trend line. We compare against the same period a year earlier where enough history exists, not just the immediately preceding month, specifically to avoid this distortion.

We maintain our own rolling benchmark data segmented by industry and format from across our client base, updated quarterly, rather than relying solely on published industry-wide averages that can be a year or more stale by the time they're cited. A benchmark from your own vertical, even a rough one, beats a generic number every time.

Mobile and desktop CTR for the same campaign and the same industry regularly differ by a meaningful margin, since mobile users interact with search results differently, often scrolling and tapping more readily on the first visible result. We report CTR split by device rather than blended into a single average, since a blended number can mask a real, actionable gap between how the campaign performs on each device type.

This split has repeatedly surfaced actionable findings that a blended average would have hidden entirely, a campaign performing well overall while quietly underperforming on mobile because the ad copy or extensions weren't optimized for a smaller screen. Catching that gap requires looking at the device split directly, not inferring it from an aggregate number that happens to look acceptable.

A branded search campaign, someone searching your company name directly, naturally sees a dramatically higher CTR than a non-branded campaign targeting a generic category term, since branded searchers already know exactly what they're looking for. Comparing these two campaign types against the same benchmark produces a meaningless comparison, and we always report them separately.

A CTR that's gradually declining over several months on an otherwise unchanged campaign often points to ad fatigue, a growing audience that's already seen the same creative repeatedly, rather than a sudden quality problem, and the fix is usually creative refresh rather than a full campaign rebuild. We check the trend line specifically, not just the current number, before diagnosing what a CTR change actually means.

A category with a small number of established competitors bidding on the same terms behaves very differently than a crowded category with dozens of advertisers competing for the same auction, and the achievable CTR ceiling differs accordingly even within the same broad industry classification. We factor in a client's specific competitive density, not just their industry label, when setting a realistic internal benchmark target for a given campaign.

Widely cited industry benchmark reports often aggregate data across account sizes, campaign maturity levels, and geographic markets that don't necessarily resemble a specific client's actual situation, and treating a published average as a hard target can set an unrealistic or, just as often, an unambitious expectation. We use these reports as a rough starting orientation, not a number to chase directly, and lean much more heavily on our own client-specific historical data once enough of it exists.

A client who's read that a good CTR is a specific single percentage sometimes fixates on hitting that number regardless of whether it's actually the right target for their format, position, and competitive situation. We reframe the conversation around their own historical trend and their specific segment's realistic range rather than defending or attacking a generic number they encountered somewhere else.

Even though we lean on our own client-specific data for the real target, we still show a client the generic published benchmark for context, since it's a number they're likely to encounter elsewhere regardless of what we recommend, and we'd rather be the ones explaining its limitations directly than have a client discover a confusing discrepancy on their own later.