Why hypothesis-driven testing transforms your email marketing strategy A/B testing in email marketing is everywhere. But truly strategic, insight-generating tests? They’re rare. Why? Because too often, marketers jump into testing without the one thing that turns a test from a gamble into a learning tool: a hypothesis. Without a clear hypothesis, tests become random stabs… keep reading →
One of the most common “shortcuts” I see in email marketing is this: Test two variants on 10% each of your audience. Send the winner to the remaining 80%. Sounds efficient, right? But in truth, this 10/10/80 split is a gamble. It cuts corners and can do more harm than good, especially if your goal… keep reading →
Email marketers have embraced personalisation and AI—but testing tools remain stuck in the past. This blog dives into the limitations of current A/B testing in email, why it matters, and how Holistic’s AI-powered approach could finally close the gap between email and CRO maturity.
Traditional A/B testing tools often limit marketers with narrow scopes and inadequate guidance. This article explores how AI-powered solutions, like the Holistic Testing Methodology, can revolutionize email testing by providing deeper insights, accommodating complex variables, and enhancing strategic decision-making for more effective email marketing campaigns.
Cognitive biases can subtly skew the results of email A/B tests, leading to flawed insights and poor decisions. This article dives into common biases like confirmation bias and loss aversion, and offers strategic solutions to reduce their impact—ensuring your email testing is data-driven, objective, and truly optimized for results.