Definition
A testing framework prevents common testing mistakes like making decisions from statistically insignificant results or testing too many variables at once. Key elements include: a clear hypothesis ("Changing the CTA colour from blue to green will increase click rate by 10%"), minimum sample size calculation based on baseline rate and minimum detectable effect, a single variable per test (for A/B tests), a defined success metric, and a confidence threshold (typically 95%). Document every test result, including inconclusive ones, to build institutional knowledge about what works for your audience.
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Related Glossary Terms
A/B Testing
A/B testing in email marketing is the practice of sending two variations of an email to a small sample of your list to determine which version performs better before sending the winner to the remaining subscribers.
Above the Fold in Email
Above the fold in email refers to the content visible to a recipient before they scroll, a critical area for first impressions and primary calls to action.
Account-Based Marketing Email
An account-based marketing email is a highly targeted message sent to a specific organisation or decision-maker group as part of a focused B2B strategy.
Announcement Email
An announcement email is a dedicated campaign that communicates a specific update, milestone, or change to subscribers, from product launches and feature releases to company news and events.
ARPU (Average Revenue Per User)
ARPU (Average Revenue Per User) is a metric that measures the average revenue generated per email subscriber over a specific period, used to evaluate list value and campaign effectiveness.
Attention Rate
Attention rate is the percentage of email opens that last longer than 5 seconds, distinguishing genuine reads from passive opens, preview-pane views, or Apple MPP auto-loads.