AI analyses email performance in Australia by processing large datasets of campaign results – including opens, clicks, conversions, and unsubscribes – to identify patterns and predict future outcomes, typically within marketing automation platforms.
As of December 2025, platforms like Campaign Monitor, Klaviyo, and ActiveCampaign, widely used by Australian SMBs, now include AI-powered features. These systems utilise machine learning algorithms to go beyond simple reporting. For example, ‘Send Time Optimisation’ predicts the best time to send emails to individual recipients based on their past behaviour, increasing open rates by an average of 12% according to platform data. AI also powers ‘Subject Line Testing’, automatically generating and A/B testing multiple subject lines to maximise engagement. Furthermore, features like ‘Content Optimisation’ analyse email body copy, suggesting improvements to readability and call-to-action placement. Data residency is a key consideration for Australian businesses; most major platforms offer data storage options within Australia to comply with the Privacy Act 1988 and the Australian Privacy Principles. In 2026, we anticipate increased integration of Generative AI for personalised content creation, but currently, this is largely focused on analysis and prediction. Platforms are also beginning to incorporate AI to identify and flag potentially spam-triggering content, crucial for maintaining deliverability to Australian inboxes.
Essentially, AI in email marketing functions as a predictive and analytical engine, identifying trends and optimising campaigns based on data-driven insights.
