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Practical answers to the problems that come up when you send email.

Guides on campaigns, automation, deliverability, verification, list growth, analytics and the systems behind reliable sending.

Email Marketing

Send-Time Optimisation Explained

Send-time optimisation can make email campaigns more convenient and more relevant, but it is not a shortcut to engagement or inbox placement. Learn what it does, how to judge its data, and when a simpler approach is better.

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Email Marketing

Open Rate Vs Click Rate For Choosing An A/B Winner

Choose an email A/B-test winner by matching the metric to the change you made and the result you need. Open rate can suit inbox-entry tests such as subject lines, but click rate is usually the stronger choice for content decisions — especially now that privacy features make opens less dependable.

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Email Marketing

How Large Should An Email A/B Test Sample Be?

There is no universal subscriber count for email A/B tests. The right sample size depends on the metric, its baseline rate, the smallest improvement worth detecting, the confidence and power required, and whether the test can run without compromising deliverability or timing.

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Email Marketing

A/B Testing Email Content: A Practical Guide

A/B testing can make email content more useful and commercially effective, but only when the test is designed to answer one clear question. This guide explains how to choose variables, set a meaningful success measure, protect deliverability and interpret results without overclaiming.

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Email Marketing

How To Stop The Remaining Sends In A Live Campaign

A live email campaign can often be stopped before every recipient is reached, but only if you understand what is still queued, what has already left the platform, and which related automations may continue sending. This guide explains how to contain the incident, protect recipients, preserve an accurate send record and decide whether a corrected resend is justified.

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