AI in Action: 3 new use cases for 1:1 personalization

Now available on demand.

AI has moved beyond experimentation. Today's leading brands are using agents to move faster, personalize smarter, and drive measurable growth but what that looks like in practice is still an open question for most marketing teams. This on-demand session answers it with three demo-driven use cases, showing exactly how AI is transforming customer engagement from the inside out.

What are the 3 AI personalization use cases covered in this webinar?

This session walks through three high-impact, real-world use cases for AI-driven 1:1 personalization: a loyalty concierge built from custom AI agents, a personalized onboarding journey for a diverse user base, and AI-powered reactivation for a subscription business. Each is demonstrated live in-product, not just described.

Use case #1: Turning customer data into a dedicated concierge. By pairing custom AI agents with a brand's own data, marketers can move beyond static templates into fully tailored 1:1 loyalty experiences. Examples include an "Event Matchmaker" agent that cross-references user preferences against a live catalog, and a QA agent that ensures every VIP message is brand-perfect before it sends. Result: increased conversion.

Use case #2: Personalized onboarding for every user. Family care platform Cleo used AI-driven personalization to replace a one-size-fits-all welcome journey with onboarding tailored to each user across a highly diverse audience. Result: increased engagement and retention.

Use case #3: Reactivation and win-back with AI decisioning. A top-tier subscription streaming service used AI decisioning to analyze individual user behavior, preferences, and engagement patterns, then deliver millions of personalized win-back communications at scale. Result: increased subscriptions and revenue.

What will I learn from this webinar?

After watching, you'll be able to:

• Identify where AI agents can replace manual, high-touch personalization work in your own loyalty or lifecycle programs
• Apply a personalized onboarding model to a large, diverse user base without building separate journeys for every segment
• Use AI decisioning to power reactivation and win-back campaigns based on individual behavior rather than broad segment rules
• Evaluate where BrazeAI Operator, Agent Console, and Decisioning Studio fit into your own AI personalization strategy

Who is this webinar for?

This session is built for marketers and lifecycle, loyalty, or retention teams who are already running personalization programs and want to see how AI agents and decisioning models can extend or replace manual work.

Why does this matter now?

Personalization strategies that relied on pre-built templates and broad segments are hitting a ceiling. Audiences are too diverse and expectations too high for one-size-fits-all journeys to keep performing. AI agents and decisioning models remove that ceiling by making individualized decisions at the scale mass marketing used to require, which is why brands like Cleo and top-tier streaming services are already using them in production, not in pilot.