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AI USE CASE
Landing-page personalisation
Show every visitor the headline, hero and CTA most likely to convert them.
What it is
A recommendation engine swaps page sections in real time based on visitor segment, source channel and behaviour. A/B testing becomes continuous and automatic. Conversion rates typically lift 10–25% on key flows.
Data you need
Web analytics with traffic >10K visits/month and a CMS supporting variants.
Required systems
- marketing automation
- ecommerce platform
- data warehouse
Why it works
- Define a single primary KPI per page
- Wait for >95% statistical significance before declaring winners
How this goes wrong
- Personalisation that breaks SEO with cloaked content
- Tests stopped before reaching significance
When NOT to do this
Don't deploy on pages with under 1K monthly visitors, there's not enough signal.
Vendors to consider
This use case is part of a larger Data & AI catalog built from 50+ enterprise transformation programs. Take the free diagnostic to see how it ranks against your specific context.