AI personalisation is only as good as the data feeding it

AI-driven product recommendations and personalised email content can genuinely lift conversion and engagement, but the lift depends entirely on the quality of the behavioural and purchase data the model is working from.

Fed sparse, outdated, or duplicated customer records, a personalisation engine doesn't fail visibly — it produces recommendations that feel tailored while being wrong, which can be worse for trust than generic, clearly non-personalised content.

Before investing in AI personalisation tooling, we typically recommend an audit of the underlying CRM and behavioural data quality first. It's a less exciting first step than deploying a new tool, and it's the one that actually determines whether the tool works.