Hyper-Personalized Marketing with Digital Platforms & Generative AI
summary
An end-to-end pilot builds a custom Marketer Workbench on Salesforce Marketing Cloud that pulls customer data from Databricks on Azure, runs an AI micro‑segmentation engine (using Llama/whatsonx models) to split 400,000 Hungarian non‑coffee buyers into 15 micro‑segments, generates subject lines and push/email copy via watsonx, and pushes assets into journeys with marketer approval — the semi‑automated campaign records a 24% uplift in voucher use and coffee sales.
AI-written summary · about
chapters (7)
- 0:00Hyper-personalized marketing intro
- 3:16AI-driven marketing platforms
- 7:06M Group case study
- 14:28AI marketing workflow demo
- 18:44AI campaign results
- 21:55Future of AI in marketing
- 24:43Q&A
related talks
18mCh. 2: Innovation
10mAutonomous Marketing at Klaviyo: Architecting Composer and 1:1 Personalization at Scale
16mTransform customer experience with an array of AI agents
21mSession: AI x UA – Redefining Creative Strategy For The Next Decade
26mData, AI and design
22mDesigning and Delivering Experiences using Machine Learning and AI
23mHyper-personalisation fueled by psychometrics: The ultimate power-up for retention and monetisation
46mLeveraging AI in Email Marketing: From Concept to Execution
