Resources/Reports & Guides

Reports and Guides

Check out our articles and guides on the latest in customer engagement.

Promotional graphic for a Braze resource titled “AI decisioning: Building flexible agents, delivering ROI,” featuring a smiling professional woman in front of a colorful gradient background.

AI decisioning: building flexible agents, delivering ROI

AI decisioning solves 1:1 relevance for a brand’s lifecycle marketing at scale. Built on reinforcement learning, agents can be highly flexible, configurable to each individual use-case and deliver clear ROI. To be highly flexible and deliver value requires forward deployed data scientists that work with brands to build each agent, making self-service difficult for many campaigns. While there are times self-service is an option, this paper details the advantages of forward deployed teams for brands that want to build better relationships with customers. Dive into the guide to learn more about: The power of AI decisioning to create true, 1:1 personalization across the customer lifecycle How flexible decisioning engines are built and how they evolve When brands should consider self-serve AI decisioning agents

Promotional graphic titled “A marketer’s guide to AI Agents” from Braze, showing two smiling people collaborating at a computer on an orange gradient background.

A marketer's guide to AI agents

Marketers know they need AI to build powerful personalization campaigns. But as AI becomes more complex, and agents begin automating tasks and making autonomous decisions, it may feel more overwhelming than helpful. In this guide, we break down AI agents, explain their role in modern marketing, and give a framework for how and when to implement agents to build more sophisticated customer engagement campaigns. Explore the ways marketers can leverage agents and transform data into true 1:1 personalization. Plus, find out: The different kinds of AI systems and when to utilize each How agents can overcome some of the biggest roadblocks for marketing teams What you need to deploy your first agents and how to build a roadmap to success

Colorful cover graphic for the Braze “Media, Entertainment, Gaming, and Sports Inspiration Guide,” featuring 3D icons of envelopes, a notification bell, and a lightbulb on a purple and orange gradient background.

Media & Entertainment Inspiration Guide

Every entertainment brand has a hit. Almost none of them have a plan for what happens three months later. That's the gap costing Media & Entertainment (M&E) brands the most. Tentpole moments still pull fans in, but retention isn't won in the premiere window. It's won in the long stretch after, where most brands go quiet and fans quietly cancel. The ones pulling ahead are treating that gap as the opportunity: using AI and first-party data to stay relevant to fans year-round, not just during launch week. The M&E Inspiration Guide is here, and the findings are a wake-up call for brands still banking on the next big release. Dive into the full report to learn more about: The real math on churn: 39% cancel a subscription within six months, and "normal" churn can mean losing 100%+ of your base yearly. Why AI is quietly getting between you and your fans as it picks what's next. How M&E brands are trading calendar campaigns for lifecycle engagement between the big moments.

Promotional graphic for a Braze resource titled “AI decisioning: Building flexible agents, delivering ROI,” featuring a smiling professional woman in front of a colorful gradient background.

AI decisioning: building flexible agents, delivering ROI

AI decisioning solves 1:1 relevance for a brand’s lifecycle marketing at scale. Built on reinforcement learning, agents can be highly flexible, configurable to each individual use-case and deliver clear ROI. To be highly flexible and deliver value requires forward deployed data scientists that work with brands to build each agent, making self-service difficult for many campaigns. While there are times self-service is an option, this paper details the advantages of forward deployed teams for brands that want to build better relationships with customers. Dive into the guide to learn more about: The power of AI decisioning to create true, 1:1 personalization across the customer lifecycle How flexible decisioning engines are built and how they evolve When brands should consider self-serve AI decisioning agents

Promotional graphic titled “A marketer’s guide to AI Agents” from Braze, showing two smiling people collaborating at a computer on an orange gradient background.

A marketer's guide to AI agents

Marketers know they need AI to build powerful personalization campaigns. But as AI becomes more complex, and agents begin automating tasks and making autonomous decisions, it may feel more overwhelming than helpful. In this guide, we break down AI agents, explain their role in modern marketing, and give a framework for how and when to implement agents to build more sophisticated customer engagement campaigns. Explore the ways marketers can leverage agents and transform data into true 1:1 personalization. Plus, find out: The different kinds of AI systems and when to utilize each How agents can overcome some of the biggest roadblocks for marketing teams What you need to deploy your first agents and how to build a roadmap to success

Colorful cover graphic for the Braze “Media, Entertainment, Gaming, and Sports Inspiration Guide,” featuring 3D icons of envelopes, a notification bell, and a lightbulb on a purple and orange gradient background.

Media & Entertainment Inspiration Guide

Every entertainment brand has a hit. Almost none of them have a plan for what happens three months later. That's the gap costing Media & Entertainment (M&E) brands the most. Tentpole moments still pull fans in, but retention isn't won in the premiere window. It's won in the long stretch after, where most brands go quiet and fans quietly cancel. The ones pulling ahead are treating that gap as the opportunity: using AI and first-party data to stay relevant to fans year-round, not just during launch week. The M&E Inspiration Guide is here, and the findings are a wake-up call for brands still banking on the next big release. Dive into the full report to learn more about: The real math on churn: 39% cancel a subscription within six months, and "normal" churn can mean losing 100%+ of your base yearly. Why AI is quietly getting between you and your fans as it picks what's next. How M&E brands are trading calendar campaigns for lifecycle engagement between the big moments.

Promotional graphic for a Braze resource titled “AI decisioning: Building flexible agents, delivering ROI,” featuring a smiling professional woman in front of a colorful gradient background.

AI decisioning: building flexible agents, delivering ROI

AI decisioning solves 1:1 relevance for a brand’s lifecycle marketing at scale. Built on reinforcement learning, agents can be highly flexible, configurable to each individual use-case and deliver clear ROI. To be highly flexible and deliver value requires forward deployed data scientists that work with brands to build each agent, making self-service difficult for many campaigns. While there are times self-service is an option, this paper details the advantages of forward deployed teams for brands that want to build better relationships with customers. Dive into the guide to learn more about: The power of AI decisioning to create true, 1:1 personalization across the customer lifecycle How flexible decisioning engines are built and how they evolve When brands should consider self-serve AI decisioning agents

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