How AI Unlocks the Utopian Power of Personalization

STAG-powered Proactive AI Platforms Can Help Marketers Beat Personalization Fatigue

The difficulty of delivering compelling personalization today lies in the type and utilization of customer data. Organizations today rely overwhelmingly on data that is easy to collect— clicks, page views, conversions; any identified user’s activity that can be counted on a digital property. This kind of data is broadly referred to as structured data. Structured data helps businesses answer questions like, Which click patterns predict customer engagement?

But roughly 80% of any company’s customer data is unstructured— data outside standard formats, like text documents, emails, videos, photos, and social media posts. This open-ended engagement is where people organically describe how and why they form their marketing preferences. Unstructured data answers questions like, Why are my best customers engaging?

In this paper, we’ll discuss the following:

– Why does unlocking dormant first-party data improve personalization?

– How does Frame AI activate first-party data?

– In general, how do Frame AI and Stream-Trigger Augmented Generation (STAG) work?

Walking the Line explores how companies like Twilio, nCino, Pendo, and GitLab reduce costs and drive growth by democratizing natural language data for every team.