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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.