Marketing & Content
Email personalisation at scale
Generate personalised subject lines and body copy variants based on customer segment, purchase history, and engagement signals.
10–25%
improvement in email conversion rate
Use case assessment
Moderate impact. Meaningful cost or revenue improvement, likely noticeable at function level but modest relative to total business scale.
Moderate effort. Requires configuration, prompt engineering, and testing. A capable team can get there but expect several months.
Demanding data requirements. Relies on clean, integrated data across multiple systems. Significant data preparation work typically needed.
Low risk. Limited external exposure. A human reviews output before it reaches anyone outside the team.
Moderate people impact. Part of someone's working day changes. Requires training and some adjustment time, but roles remain broadly the same.
Tooling required
Things to consider
Starbucks' Deep Brew AI delivers 400,000+ hyper-personalised offer variants across its loyalty programme, driving 30% ROI uplift and 15% growth in customer engagement (The AI Report).
Data quality is the main constraint — personalisation is only as good as the customer data feeding it. Audit your customer data before scoping this.
Start with segment-level personalisation (3-5 segments) rather than individual-level: it's more reliable and far easier to test and validate.
Ensure GDPR compliance for using customer data in AI systems — document the data flows and legal basis before implementation.
Subject line personalisation is the lowest-complexity starting point and often delivers the highest measurable lift — start there before attempting body copy personalisation.
Experiment starter: For the next promotional send, generate three subject line variants using AI (different tone, framing, and urgency level) and A/B test them against your standard approach. A consistent open rate improvement of 5%+ across sends makes the case for scaling.
Go deeper in the playbook
Section — Opportunity Identification, including the AI Opportunity Assessment ScorecardSection — The Experimentation FrameworkThis is an augmentation opportunity — see the relevant playbook section for how to approach it.More in Marketing & Content
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