In 2018, email open rates typically hovered around a 20-25% average across industries, with Mailchimp reporting 20.81%. However, a critical takeaway was the significant variability of these rates by industry, making industry-specific benchmarks far more relevant than a universal average. Despite initial concerns, Gmail's Promotions tab did not appear to suppress open rates for engaged subscribers, reinforcing the importance of compelling subject lines. Ultimately, while benchmarks offered context, successful email marketing in 2018 focused more on list quality, content relevance, and overall engagement and conversion goals rather than solely on the raw open rate number, which was also understood to be an estimate due to tracking methodologies.
14 marketer opinions
Interpreting 2018 email open rates, especially for a platform like Gmail, involved moving beyond a single average to a more nuanced understanding. While overall benchmarks from leading providers often cited rates in the 20-25% range, experts consistently emphasized that industry-specific performance was paramount. For Gmail users, the Promotions tab, although a subject of discussion, was generally found not to deter opens for engaged subscribers, reinforcing the enduring importance of compelling subject lines. Ultimately, marketers were advised to prioritize internal performance trends, list quality, and overall engagement metrics, recognizing that a 'good' open rate was highly relative to the specific niche and strategic goals rather than a static industry statistic.
Marketer view
Marketer from Email Geeks shares an IBM report for 2018 which may contain relevant email open rate data.
12 Oct 2021 - Email Geeks
Marketer view
Marketer from Email Geeks provides a link to Cheetah Digital's Q2 2018 Email and Mobile Benchmark Report, which may contain relevant open rate data.
26 May 2023 - Email Geeks
0 expert opinions
To effectively find and interpret 2018 email open rate benchmarks, particularly within the Gmail ecosystem, marketers needed to consult diverse industry reports from major email service providers. While these often presented a general average open rate around 20-25%, true insights came from dissecting industry-specific data, recognizing the varied performance across sectors. For Gmail, the Promotions tab posed little threat to open rates among engaged subscribers, underscoring the enduring power of compelling subject lines. Ultimately, a strategic approach involved prioritizing unique audience insights, content relevance, and overall conversion goals over a singular focus on generic percentage figures, which were also understood to be estimates due to tracking limitations.
4 technical articles
To accurately find and interpret 2018 email open rate benchmarks, particularly concerning Gmail, it was essential to recognize the inherent limitations of open rate tracking, which relies on a simple pixel load and thus provides an estimate. Industry benchmarks, derived from vast aggregated data, offered valuable insights but needed to be viewed with an understanding of their collection methodologies and potential variances. Critically, achieving any meaningful open rate was predicated on strong email deliverability, ensuring emails successfully reached the inbox in the first place. Ultimately, marketers were advised to use benchmarks as a general context, prioritizing their specific audience, industry, and unique campaign goals to truly assess performance, rather than focusing solely on a generic average.
Technical article
Documentation from Mailchimp Knowledge Base explains that email open rates are tracked by an invisible 1x1 pixel image loaded when a recipient opens an email, and warns that this method means open rates can be inflated by image caching or blocked by some clients, thus should be interpreted as an estimate rather than a precise count.
16 Jun 2024 - Mailchimp Knowledge Base
Technical article
Documentation from Litmus explains that their 2018 email marketing benchmarks were derived from aggregated data across millions of emails sent through various ESPs and email clients, emphasizing that their interpretation accounts for variances in data collection and client-specific behaviors to provide a comprehensive view of performance.
14 Jan 2025 - Litmus Blog/Reports
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