Personalisation is one of the most cited priorities in digital marketing. It's also one of the most poorly understood. Most organisations that claim to be doing personalisation are, in practice, doing segmentation — sending slightly different emails to slightly different groups of people. That's a starting point, not a destination.
The organisations doing personalisation well at scale are doing something genuinely different, and the gap between them and the field is growing.
Why Most Efforts Fall Short
The failure mode for personalisation is almost always the same: the ambition outpaces the infrastructure. Organisations invest in a personalisation engine — or a feature within their CRM or DXP — before they have the data quality, the customer identity resolution, and the content production capability required to feed it.
A personalisation engine with poor data produces personalisation that's irrelevant at best and actively off-putting at worst. "We know who you are but have no idea what you want" is a common and damaging customer experience.
What Good Looks Like
Mature personalisation at scale has three characteristics:
- Clean, connected customer data — a single view of the customer that draws from multiple touchpoints and is updated in near real-time
- Contextual relevance, not just demographic targeting — personalisation that responds to what the customer is doing right now, not just who they are
- Content at scale — the operational capability to create and manage enough variations to make the personalisation meaningful
Getting these three things right is harder than buying a personalisation platform. But the organisations that do get it right see measurable improvements in engagement, conversion, and retention that compound over time.