E-commerce & Digital
Abandoned basket re-engagement copy
Generate personalised email and SMS copy for basket abandonment flows. References the specific products left behind and the customer's segment context. Reduces generic recovery communications.
10–20%
improvement in basket recovery rate
Opportunity assessment
Moderate impact. Meaningful cost or revenue improvement, likely noticeable at function level but modest relative to total business scale.
Relatively straightforward. Off-the-shelf tools handle the core task. Implementation is well-understood with good examples to follow.
Moderate data needs. Works with data most businesses hold, but will likely need consolidation, cleaning, or reformatting before use.
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
Personalisation depth should match data availability. If you only have the basket contents and no purchase history, product-level personalisation is the limit. Don't over-promise on depth if the data isn't there.
Basket abandonment flows are GDPR-sensitive — customers must have the appropriate marketing consent to receive abandonment emails. Validate the legal basis before implementing.
A/B test personalised AI copy against your current generic abandonment email to establish baseline uplift before scaling. Without a control group, you can't attribute improvement to the AI.
There is a fine line between helpful personalisation and feeling surveilled. A message that says 'we noticed you were looking at the navy trainers in size 10' can feel useful or intrusive depending on execution. Test tone carefully.
Experiment starter: For the next month's abandonment flow, generate personalised copy variants using an LLM referencing the specific basket items for half the abandoned sessions. Keep your standard template for the other half. Compare recovery rates at 24 and 72 hours. A 10%+ improvement in recovery rate for the personalised group validates the approach.
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 E-commerce & Digital
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