Benchmark data is only useful if you know what you're benchmarking against. Most benchmark reports aggregate across markets, sender sizes, and sending practices in ways that make the resulting numbers nearly meaningless for any individual programme.
This post covers 2026 email benchmark data across South Africa, the UK, and the US, with notes on what the differences mean and how to use the numbers to evaluate your own programme.
A methodological note first: all benchmark data cited here comes from publicly available industry reports (Mailchimp, Klaviyo, Litmus, and Campaign Monitor annual reports) and Inboxd's aggregate client data across our managed accounts. Where our data differs from industry averages, we flag it.
| Market | Segment | Open rate | CTR | CTOR | Unsub ceiling |
|---|---|---|---|---|---|
| South Africa | B2C | 28-34% | 2.1-3.4% | 8-14% | below 0.2% |
| South Africa | B2B | 32-41% | 3.2-5.1% | 10-16% | below 0.1% |
| United Kingdom | B2C | 24-31% | 1.8-2.9% | 8-13% | below 0.2% |
| United Kingdom | B2B | 29-38% | 2.8-4.3% | 9-14% | below 0.1% |
| United States | B2C | 26-34% | 1.9-3.1% | 8-13% | below 0.2% |
| United States | B2B | 31-40% | 2.9-4.5% | 9-15% | below 0.1% |
Figures represent typical ranges (p25-p75) based on industry reports (Mailchimp, Klaviyo, Litmus, Campaign Monitor) and Inboxd managed-account aggregate data 2025-2026. Open rates include MPP inflation for markets with high Apple Mail share.
Open rates: the picture is complicated
Apple Mail Privacy Protection (MPP), launched in September 2021, inflated open rate benchmarks across all markets. When Apple pre-fetches email content regardless of whether the recipient opened the email, it registers as an open in most ESP reporting systems. The practical effect: industry average open rates jumped by 10-15 percentage points in 2021/22 and have remained artificially elevated.
This means raw open rate comparisons with pre-2021 benchmarks are misleading. It also means that open-rate benchmarks between senders with different audience compositions (different proportions of Apple Mail users) are not directly comparable.
With that caveat acknowledged, here are the 2026 benchmark ranges by market:
South Africa: Average open rate 28-34% (B2C consumer brands), 32-41% (B2B). South African inboxes show higher engagement rates than UK/US averages, partly because the market is less saturated and partly because mobile-first consumption means recipients open more of what they receive. Our managed account data shows SA open rates running 4-7 percentage points above UK equivalents on comparable campaigns.
UK: Average open rate 24-31% (B2C), 29-38% (B2B). Highly competitive consumer email market; strong sender reputation infrastructure required. MPP inflation is significant, UK has a high proportion of Apple device users.
US: Average open rate 26-34% (B2C), 31-40% (B2B). Similar to UK with equivalent MPP inflation. Regulatory environment less restrictive (CAN-SPAM vs GDPR) which affects unsubscribe rates.
Click-through rates: the honest metric
Click-through rate (CTR), the proportion of sent emails that result in a link click, is the metric that survived MPP inflation. It's also the metric most directly linked to campaign revenue, so it's the one that matters most for programme evaluation.
2026 benchmark CTR by market:
South Africa: 2.1-3.4% (B2C), 3.2-5.1% (B2B). Higher than global benchmarks, consistent with higher engagement rates overall.
UK: 1.8-2.9% (B2C), 2.8-4.3% (B2B).
US: 1.9-3.1% (B2C), 2.9-4.5% (B2B).
Click-to-open rate (CTOR, clicks as a proportion of opens rather than total sends) is a better measure of content relevance than raw CTR, because it normalises for send volume differences. Benchmark CTOR: 8-14% is considered healthy across all three markets for promotional campaigns. Triggered/automated flows consistently outperform campaigns by 2-3× on CTOR.
Unsubscribe rates: the warning signal
Unsubscribe rates are rising in two specific categories: retail promotions and B2B lead nurture. The driver in retail is frequency fatigue, brands that increased send frequency without increasing relevance are seeing unsubscribe rates creep above the 0.5% threshold that signals list health problems. The driver in B2B is the same: sequences that are too long, too frequent, and too generic.
Healthy unsubscribe rate benchmarks: below 0.2% per send is healthy for promotional campaigns; below 0.1% for automated flows. If your unsubscribe rate is above 0.3% on any individual send, investigate the cause immediately, it signals a relevance problem with either the content or the audience segment.
One SA-specific note: POPIA has increased list hygiene discipline among SA senders. Brands that have invested in re-permission campaigns and suppression hygiene since the POPIA commencement date (1 July 2021) show meaningfully lower unsubscribe rates and higher engagement than those that haven't. This is one area where the regulatory environment has produced better sending practices, not just compliance overhead.
Deliverability: the metric before the metrics
All benchmark comparisons assume your emails are reaching the inbox. If your inbox placement rate is below 85%, none of the engagement benchmarks are meaningful, they're measuring performance only on the subset of emails that arrived.
Inbox placement rate benchmarks: 90-95% is considered healthy; above 95% is excellent; below 85% requires immediate investigation. The drivers of low inbox placement in 2026 are: sender reputation damage from high complaint rates, authentication misconfiguration (SPF/DKIM/DMARC alignment failures), and IP/domain reputation damage from sending to disengaged lists.
If you're comparing your metrics to industry benchmarks and finding yourself consistently below, check your inbox placement rate before assuming your content or creative is the problem. The benchmark gap might be entirely explained by deliverability, not engagement.
Using this data
The right way to use benchmark data is as a threshold test, not a performance target. "Are we meaningfully below benchmark?" is a useful question, it tells you whether your programme has a problem worth investigating. "Are we above benchmark?" is a less useful question, it tells you only that you're not obviously underperforming, not that you're optimised.
The programmes that outperform benchmarks by the widest margins do so by measuring their own cohorts over time, not by comparing to industry averages. The question that drives improvement is "are we better than we were 90 days ago?", not "are we better than the average sender?"
