Key Takeaways
- The 3 Levels of Personalisation
- Email Personalisation with AI
- Website Personalisation
- Data Requirements for AI Personalisation
Personalised marketing generates 40% more revenue than non-personalised alternatives (McKinsey). AI makes personalisation scalable — applying it to millions of customer touchpoints simultaneously rather than requiring manual segmentation.
The 3 Levels of Personalisation
Level 1 (Segmentation): different content for different audience groups. Level 2 (Dynamic personalisation): content changes based on user attributes and behaviour. Level 3 (1:1 AI personalisation): fully individualised content generated or selected for each specific user in real time.
Email Personalisation with AI
Beyond [First Name]: personalise subject lines based on browsing behaviour, product recommendations based on purchase history, send time optimisation based on individual open patterns, and dynamic content blocks showing different product sections to different segments. Klaviyo and Brevo lead in AI email personalisation for e-commerce.
Website Personalisation
Show different homepage hero banners based on traffic source. Display recently viewed products. Recommend complementary products based on cart contents. Adjust pricing display based on user location or loyalty tier. Google Optimise, Optimizely, and Segment enable sophisticated website personalisation.
Data Requirements for AI Personalisation
Zero-party data (explicitly shared): preferences, survey responses. First-party data (observed): purchase history, page views, email behaviour. The more first-party data you have, the more accurate and valuable AI personalisation becomes. Building a first-party data strategy is the foundation of AI personalisation capability.
Quick Facts
The OwlClaw team brings together specialists in SEO, paid media, social marketing, and AI automation — delivering measurable growth for 150+ businesses across India.