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. Subject line analysis uses natural language processing to score subject lines based on predicted engagement, and content optimisation suggests improvements to email copy. Compliance with Australian privacy laws (including the Privacy Act 1988 and the Spam Act 2003) is maintained through anonymised data processing and adherence to platform data residency options – many platforms now offer data storage within Australia. In 2026, we anticipate further integration of generative AI to assist with A/B testing variations and personalised content creation. Platforms are also beginning to incorporate AI to predict deliverability issues based on sender reputation and ISP filtering rules, a growing concern for Australian businesses.
Ultimately, AI in email marketing functions by automatically identifying correlations within data to improve campaign effectiveness and provide predictive insights.
