Email marketing benchmarks: open rates, clicks, and conversions by industry

How to use benchmarks without misleading yourself

Email marketing benchmark reports are published regularly by Mailchimp, Klaviyo, Campaign Monitor, HubSpot, and a range of other platforms. They are widely cited, frequently shared, and regularly misapplied. Understanding what they are, where they come from, and what they can and cannot tell you is the first step toward using them productively.

Benchmark data is aggregated from the platform's customer base. Mailchimp's benchmark report reflects performance across millions of accounts ranging from solo newsletter creators to large retail brands. Klaviyo's benchmarks skew toward e-commerce businesses, since that is the majority of its user base. HubSpot's reports include B2B companies that use email as part of a broader CRM and marketing workflow. Each report reflects its platform's customer mix, not a neutral industry sample.

The second issue is Apple Mail Privacy Protection, which has inflated reported open rates across all platforms since late 2021 by pre-fetching tracking pixels on Apple's servers. Benchmark reports published after this date include this inflation in the averages, making pre-2021 and post-2021 open rate comparisons unreliable. For a detailed explanation of how MPP affects open rate interpretation, the article on email open rates covers the mechanism and its practical implications.

Used correctly, benchmarks serve as orientation points rather than targets. They tell you roughly what normal looks like in your sector, flag when something in your programme is significantly outside the expected range, and provide a frame of reference when you are starting a new programme without historical data of your own. They are not precise performance standards.

For the broader framework of which metrics to track and how to connect them to commercial outcomes, the email marketing analytics guide covers the full measurement approach that makes benchmark comparisons meaningful rather than misleading.

Average open rate benchmarks by industry

The following figures reflect broadly reported averages across major platforms. Because of Apple Mail Privacy Protection inflation, treat open rate benchmarks as directional rather than precise, and recognise that figures from different sources will vary by 5 to 15 percentage points depending on their user base composition.

Non-profit and charity organisations typically report the highest open rates, often between 25% and 45%, reflecting audiences who are genuinely invested in the mission and opted in with strong intent. Government and public sector emails follow a similar pattern, benefiting from high-trust sender relationships.

Education and healthcare providers usually see open rates between 20% and 35%. The professional context and personal relevance of communications in these sectors drives engagement above retail norms. Financial services and B2B professional services typically produce rates between 18% and 28%, varying considerably by whether the email is transactional, advisory, or promotional in nature.

Retail, fashion, and consumer e-commerce tend to cluster between 15% and 25%, with significant variation driven by segmentation quality, offer relevance, and list acquisition method. Brands with opt-in lists built through owned channels consistently outperform those using co-registration or third-party data.

Travel, hospitality, and events often show higher open rates for booking confirmations and itinerary emails than for promotional sends, reflecting the well-established pattern that transactional emails outperform marketing emails across most sectors.

Average click-through rate benchmarks

Click-through rate (CTR) is a more reliable cross-platform benchmark than open rate because it is not affected by Apple Mail Privacy Protection. A click requires a human to read the email and choose to act on it. There is no automated equivalent of a click event that would inflate the figures.

Across most sectors, average email click-through rates sit between 1% and 4% when measured against total deliveries. B2B emails with highly targeted audiences and strong offer-to-audience match can achieve CTRs above 4% consistently. Retail promotional emails to large, mixed-engagement lists frequently produce CTRs below 1%.

Click-to-open rate (CTOR) is a more precise content quality indicator. It measures clicks as a proportion of opens rather than total deliveries, removing the list-size effect and focusing on how well the email body performs for readers who chose to open it. A typical CTOR range across sectors is 10% to 20%. A CTOR below 10% on a well-opened email usually points to a content-CTA mismatch or poor email body design.

Platform differences matter for CTR benchmarks too. E-commerce platforms like Klaviyo report CTRs across a user base that skews toward product promotion and automated flow emails, which tend to produce different engagement profiles than the B2B content and nurture emails that dominate HubSpot's user base. Comparing your Klaviyo CTR against a HubSpot benchmark report is not a meaningful exercise.

The article on email click-through rates covers what drives CTR variation in detail, including CTA design, link placement, content structure, and the difference between click rate on broadcast campaigns versus automated flows.

Average conversion rate benchmarks

Email conversion rate benchmarks are the least reliably published figures in most reports because conversion depends on what you define as a conversion, your post-click landing page quality, your offer, and your audience's intent at the time of receiving the email. Two companies in the same industry, sending to similar-sized lists, with identical open and click rates, can have wildly different conversion rates if one is sending to a highly qualified, purchase-ready segment and the other to a cold list of early-stage prospects.

General e-commerce email conversion rates typically sit between 1% and 5% of email recipients completing a purchase, with automated flows such as abandoned cart emails converting at the higher end and broad promotional campaigns to cold segments at the lower end. B2B emails where the conversion goal is a form submission, a call booking, or a trial sign-up typically see conversion rates between 0.5% and 3% of recipients.

Rather than chasing a conversion rate benchmark, focus on tracking your own conversion rate trend over time and testing specific variables that might move it: landing page copy, CTA copy, offer structure, email body length, and audience segmentation. Your own data, gathered consistently, will always be more instructive than a cross-industry average.

Bounce and unsubscribe benchmarks

Hard bounce rate should sit below 2%, with healthy programmes typically maintaining rates below 0.5%. A hard bounce rate above 2% indicates significant list quality problems: invalid addresses, outdated contacts, or data from unreliable acquisition sources. Most platforms will pause sending or flag accounts that exceed hard bounce thresholds because high bounce rates damage sender reputation and threaten email deliverability for other platform users.

Unsubscribe rates below 0.2% per campaign are typical for well-maintained lists with consistent content and appropriate send frequency. Rates above 0.5% on a regular campaign indicate a content, frequency, or audience mismatch that needs investigation. Unsubscribe rates higher than your usual baseline on a specific campaign often point to a content or tone misstep rather than a systemic problem.

Spam complaint rates should remain below 0.08%. Google and Yahoo enforce deliverability consequences for senders exceeding 0.3%, so any complaint rate above 0.08% should trigger an immediate review of list acquisition practices, sending frequency, and content relevance.

How your results compare and what to do about it

Benchmarking your performance is most useful when it identifies specific outliers worth investigating. Rather than comparing every metric against industry averages, focus on two diagnostic scenarios: metrics significantly below the typical range and metrics that have changed noticeably from your own historical average.

If your open rate is substantially below typical for your sector, the likely causes are deliverability problems such as inbox placement in spam or promotions, list quality issues from stale or disengaged contacts, subject line weakness, or sender name recognition problems. Each requires a different response, and the email marketing audit article provides a structured process for diagnosing which factor is driving poor performance.

If your click-through rate is below benchmark range despite a reasonable open rate, the problem lives in the email body rather than the subject line. CTA placement, button visibility, content relevance to the receiving segment, and the match between subject line promise and body delivery are the variables to investigate.

If unsubscribes are above the typical range, examine your most recent list acquisition methods, your send frequency over the past 60 days, and the last five campaigns for content that might have been misaligned with subscriber expectations.

For teams managing multiple campaigns or client programmes, tracking benchmark comparisons within a consistent reporting framework helps distinguish normal variation from genuine performance shifts. Airtable and Notion both work well for building lightweight tracking systems that surface these patterns without requiring a dedicated analytics platform.

What this means for your performance targets

The most useful benchmarks for your email programme are the ones you build from your own data. After sending 15 to 20 campaigns to a consistent audience, your own averages for open rate, click rate, conversion rate, and unsubscribes become a stable baseline. Movements away from that baseline are the signal worth acting on.

Use published industry benchmarks as a starting point when you are new to email or launching a new list without historical data. Once you have six months of your own campaign data, your internal benchmarks become more relevant than external averages. The goal is not to match a published figure but to understand your programme's performance trajectory and make it better over time.

Connecting this benchmark review to a regular reporting cadence makes it operational rather than theoretical. The article on email marketing analytics covers how to build the reporting rhythm and data connections that turn benchmark comparisons into a continuous improvement process rather than a quarterly exercise in looking at numbers.