1 The Segmentation Imperative
The average e-commerce email list has 6–8 distinct behavioural segments hiding inside it: new subscribers, engaged readers, dormant buyers, VIP customers, browsing-but-not-buying, and more. Sending the same campaign to all of them is the primary reason most brands see 15–20% open rates and 1–2% click rates. Our segmentation framework identifies these groups using RFM scoring (Recency, Frequency, Monetary value) and sends segment-specific campaigns. The result: median open rates jump to 38% and revenue per email increases by 4.2×.
2 Dynamic Content at Scale
Dynamic content blocks allow a single email template to show different products, offers, and messaging to each recipient based on their segment, purchase history, and browsing behaviour. Using Klaviyo or Iterable, we build emails where the hero image, product recommendations, and CTA dynamically adapt. One client running 8-segment dynamic campaigns achieves 156% more revenue per email than their previous one-size-fits-all approach.
3 Send-Time Optimisation with AI
AI send-time optimisation analyses each subscriber's historical open patterns and sends at their personal optimal time rather than a fixed broadcast time. The lift varies by industry — e-commerce sees 12–18% open rate improvement, SaaS sees 8–14%. Combined with segmentation and dynamic content, send-time AI creates a compounding effect. The client referenced in our headline went from 8% email revenue share to 31% in one quarter using all three levers simultaneously.
Priya Nair
Head of Technical SEO
Expert in digital marketing strategy and AI-powered growth. Leads our Email Marketing practice and has worked with 100+ brands across 20 industries.