An AI-native product makes artificial intelligence central to its capabilities, workflows, and user experience rather than adding it as an isolated feature. In marketing technology, its value depends on fitting bespoke team needs, supporting change management, and connecting intelligence to the organization’s broader data. section 9.3.2
Evaluate an AI-native product by asking:
- What data does the generative marketing engine access, and which biases or blind spots might that create? section 9.3.2
- Can it combine customer-centric data with channel-centric data through a composable architecture? section 9.3.2
- Does it preserve a single source of truth through zero-copy data access and support an open data model? section 9.3.2
Personalized email timing
An email platform may optimize send times using proprietary engagement data while lacking product-usage metrics. Connecting it to the marketing data lakehouse can provide a broader customer view. section 9.3.2
