AI Personalization Is Not a Feature. It Is a Product.
uCertify's analysis finds companies use AI to create entirely new revenue streams, not merely to optimize existing ones. Fitness companies generate bespoke workout plans tailored to individual users. Streaming platforms employ recommendation algorithms to surface content that keeps subscribers paying.
You must stop viewing AI as a cost-cutting instrument and recognize it as a revenue architecture. The technique is productizing personalization itself. Your thinking should shift from 'How do I do what I do faster?' to 'What individualized service can I sell that did not exist before?'
uCertify produced this analysis. The fitness companies and streaming platforms mentioned are presented as category examples rather than named specific firms in the source material. No particular revenue figures for individual companies are cited.
Step 1: Choose one service you already offer and list three ways you could tailor it per individual customer using simple data. Step 2: Create a basic personalized version using a consumer tool; for workouts, use the free tier of Fitbod or similar; for content, use Substack's recommendation features. Step 3: Offer this personalized version to five existing customers at a 20% premium and measure uptake against your standard offering.