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Check out our articles and guides on the latest in customer engagement.
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Guide
From tentpole to always-on: How AI is redefining fan loyalty in media and entertainment
Media and entertainment brands build around tentpole moments — premieres, live events, big launches. However, this approach can lead to a costly industry reality: subscriber churn. This whitepaper explores how brands can build continuous fan relationships powered by AI, first-party data, and lifecycle-driven personalization that keeps fans connected in between the big moments. Get the guide to learn more about: Why calendar-driven engagement can create churn What it actually takes to keep fans engaged year-round The fan feels known; a brand moves a fan to act; and the right moment reaches the fan framework
Guide
Built to be trusted: The strategic narrative behind responsible AI guide
Agentic AI is scaling fast, but governance isn't keeping pace. AI systems are now running thousands of tests at the individual level, adapting journeys in real time to each customer's behaviour, motivations, and buying patterns. The question is no longer whether AI can be trusted with this level of autonomy. It's whether your organisation has built the conditions under which that trust is warranted. This guide, drawn from a Grow with Braze Asia panel discussion featuring leaders from Braze, CustomerIK, StarHub, and Contentsquare, gives marketing leaders a practical framework for closing it. In this guide we cover: What responsible AI actually means in practice, and the three-part framework that defines it Why "honest" data matters more than "perfect" data, and the three conditions that make AI-driven personalisation trustworthy Case studies showing what responsible AI delivers in revenue, retention, and undiscovered growth
Guide
The Braze guide to building agents
Your Canvas can now think for itself. With BrazeAI Agent Console™, you can automatically build and launch custom, autonomous agents right inside your campaigns, no engineering team required. These agents understand context, make real-time decisions, and take action toward whatever goal you set, whether that's answering a customer's question or deciding which message they see next. Inside the Braze Guide to building agents, you'll learn more about: How to personalize copy on the fly using agents that understand customer context, not just merge fields How to build feedback analysis agents that read customer sentiment autonomously, so you're not manually sorting through replies How to set up journey routing agents that surface the most relevant Canvas steps for each customer, saving your team hours of manual segmentation
Guide
From tentpole to always-on: How AI is redefining fan loyalty in media and entertainment
Media and entertainment brands build around tentpole moments — premieres, live events, big launches. However, this approach can lead to a costly industry reality: subscriber churn. This whitepaper explores how brands can build continuous fan relationships powered by AI, first-party data, and lifecycle-driven personalization that keeps fans connected in between the big moments. Get the guide to learn more about: Why calendar-driven engagement can create churn What it actually takes to keep fans engaged year-round The fan feels known; a brand moves a fan to act; and the right moment reaches the fan framework
Guide
Built to be trusted: The strategic narrative behind responsible AI guide
Agentic AI is scaling fast, but governance isn't keeping pace. AI systems are now running thousands of tests at the individual level, adapting journeys in real time to each customer's behaviour, motivations, and buying patterns. The question is no longer whether AI can be trusted with this level of autonomy. It's whether your organisation has built the conditions under which that trust is warranted. This guide, drawn from a Grow with Braze Asia panel discussion featuring leaders from Braze, CustomerIK, StarHub, and Contentsquare, gives marketing leaders a practical framework for closing it. In this guide we cover: What responsible AI actually means in practice, and the three-part framework that defines it Why "honest" data matters more than "perfect" data, and the three conditions that make AI-driven personalisation trustworthy Case studies showing what responsible AI delivers in revenue, retention, and undiscovered growth
Guide
The Braze guide to building agents
Your Canvas can now think for itself. With BrazeAI Agent Console™, you can automatically build and launch custom, autonomous agents right inside your campaigns, no engineering team required. These agents understand context, make real-time decisions, and take action toward whatever goal you set, whether that's answering a customer's question or deciding which message they see next. Inside the Braze Guide to building agents, you'll learn more about: How to personalize copy on the fly using agents that understand customer context, not just merge fields How to build feedback analysis agents that read customer sentiment autonomously, so you're not manually sorting through replies How to set up journey routing agents that surface the most relevant Canvas steps for each customer, saving your team hours of manual segmentation
Guide
From tentpole to always-on: How AI is redefining fan loyalty in media and entertainment
Media and entertainment brands build around tentpole moments — premieres, live events, big launches. However, this approach can lead to a costly industry reality: subscriber churn. This whitepaper explores how brands can build continuous fan relationships powered by AI, first-party data, and lifecycle-driven personalization that keeps fans connected in between the big moments. Get the guide to learn more about: Why calendar-driven engagement can create churn What it actually takes to keep fans engaged year-round The fan feels known; a brand moves a fan to act; and the right moment reaches the fan framework
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