AI Marketing

Braze

by Braze, Inc.

★4.6

192 reviews

Customer engagement platform with BrazeAI for real-time personalization across email, mobile, web, and more

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📌Key Takeaways

1Braze is a ai marketing AI agent by Braze, Inc., founded in 2011.
2Customer engagement platform with BrazeAI for real-time personalization across email, mobile, web, and more
3Top strengths: Canvas Journey Orchestration: Canvas is Braze's flagship visual journey builder that enables marketers to create sophisticated, multi-step customer journeys without writing code. T...; Intelligent Channel Selection: Braze's Intelligent Channel feature uses machine learning algorithms to automatically determine the optimal communication channel for each individual....
4Rated 4.6/5 based on 192 reviews.

Overview

Braze is a comprehensive customer engagement platform designed to empower modern marketers with the tools they need to create meaningful, personalized interactions across every touchpoint of the customer journey. At its core, Braze enables brands to unify customer data from disparate sources into a single, actionable profile, allowing marketing teams to understand individual preferences, behaviors, and engagement patterns in real-time. The platform supports omnichannel messaging across email, mobile push notifications, SMS, in-app messaging, web push, and content cards, ensuring brands can reach customers wherever they are with contextually relevant communications. What sets Braze apart is its sophisticated AI and machine learning capabilities that power intelligent decision-making throughout the marketing workflow. The platform's predictive analytics can forecast customer behavior, identify churn risk, and recommend optimal engagement strategies before issues arise. Braze's Canvas feature serves as a visual journey orchestration tool that allows marketers to design complex, multi-step campaigns with branching logic, A/B testing, and automated optimization—all without requiring technical expertise. Enterprise brands across retail, financial services, media and entertainment, quick-service restaurants, and technology sectors rely on Braze to drive customer retention, increase lifetime value, and deliver experiences that feel personal rather than promotional. The platform processes billions of data points daily, enabling real-time personalization at massive scale while maintaining the performance and reliability that enterprise organizations demand. With robust security certifications, flexible APIs, and an extensive partner ecosystem, Braze integrates seamlessly into existing marketing technology stacks while providing the foundation for sophisticated, data-driven customer engagement strategies that evolve with changing consumer expectations and business needs.

🎯 Key Differentiator

AI-Extracted

AI-powered customer journey orchestration with real-time personalization across all channels

Braze's Canvas feature uses machine learning to automatically optimize send times, channel selection, and message content based on individual user behavior patterns. The platform processes billions of data points daily to deliver personalized experiences in real-time, with customers reporting 20-40% improvements in engagement metrics. Canvas Flow enables marketers to build sophisticated multi-step journeys with intelligent branching, experimentation, and automated optimization that continuously learns from customer responses to improve performance over time.

This differentiator was AI-extracted from competitive research.

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Last verified: January 27, 2026

Key Features

Canvas Journey Orchestration

Canvas is Braze's flagship visual journey builder that enables marketers to create sophisticated, multi-step customer journeys without writing code. The drag-and-drop interface allows teams to design complex workflows with conditional branching, time delays, A/B testing, and personalization at every step. Canvas automatically optimizes message timing and channel selection based on individual user behavior, learning from billions of interactions to determine when each customer is most likely to engage. Marketers can create journeys that span days, weeks, or months, with intelligent triggers that respond to real-time customer actions. Reduces campaign setup time by 60% while improving engagement rates through automated optimization and intelligent personalization.

Intelligent Channel Selection

Braze's Intelligent Channel feature uses machine learning algorithms to automatically determine the optimal communication channel for each individual customer based on their historical engagement patterns. The system analyzes past interactions across email, push, SMS, and in-app messaging to predict which channel will generate the highest likelihood of engagement for any given message. This eliminates guesswork and ensures marketing resources are allocated to the channels that actually drive results for each customer segment. Increases overall campaign engagement by 15-25% by reaching customers on their preferred channels at the right moments.

Real-Time Data Streaming

Braze's real-time data infrastructure processes customer events and behavioral signals within milliseconds, enabling immediate personalization and triggered messaging based on live customer actions. The platform ingests data from mobile apps, websites, point-of-sale systems, and third-party sources through streaming APIs, creating unified customer profiles that update continuously. This real-time capability powers use cases like abandoned cart recovery, location-based messaging, and instant response to customer milestones or behavior changes. Enables sub-second response to customer actions, capturing engagement opportunities that batch-processing systems miss entirely.

Predictive Analytics Suite

Braze's predictive analytics capabilities leverage machine learning to forecast customer behavior before it happens, enabling proactive rather than reactive marketing strategies. The platform can predict likelihood to purchase, churn probability, and customer lifetime value, allowing marketers to segment audiences based on future behavior rather than just past actions. Predictive models continuously learn from new data, improving accuracy over time and adapting to changing customer patterns without manual intervention. Enables proactive customer retention strategies that reduce churn by identifying at-risk customers before they disengage.

Content Personalization Engine

Braze's personalization engine goes beyond simple merge tags to deliver truly individualized content experiences at scale. The platform supports dynamic content blocks that change based on customer attributes, behavior, and context, as well as Connected Content that pulls real-time data from external APIs to personalize messages with live inventory, pricing, or recommendations. Liquid templating language provides powerful customization options while remaining accessible to non-technical marketers through visual editing tools. Drives 2-3x higher conversion rates compared to generic messaging by delivering contextually relevant content to each recipient.

Pros & Cons

Pros

+Canvas Journey Orchestration: Canvas is Braze's flagship visual journey builder that enables marketers to create sophisticated, multi-step customer journeys without writing code. T...
+Intelligent Channel Selection: Braze's Intelligent Channel feature uses machine learning algorithms to automatically determine the optimal communication channel for each individual...
+Real-Time Data Streaming: Braze's real-time data infrastructure processes customer events and behavioral signals within milliseconds, enabling immediate personalization and tri...
+Predictive Analytics Suite: Braze's predictive analytics capabilities leverage machine learning to forecast customer behavior before it happens, enabling proactive rather than re...
+Content Personalization Engine: Braze's personalization engine goes beyond simple merge tags to deliver truly individualized content experiences at scale. The platform supports dynam...

Cons

−AI-generated content requires human review to ensure accuracy and brand voice consistency.
−Initial setup and integration may require technical resources or onboarding support.
−Feature depth means users may not utilize all capabilities, potentially reducing ROI for simpler use cases.

Use Cases

Explore all AI Marketing use cases →

AI SDR: Automated Outbound Prospecting→

Sales teams spend hours manually researching prospects, finding contact information, and crafting personalized outreach messages. This manual process limits the volume of outreach and reduces time available for high-value activities like closing deals.

Lead Qualification and Scoring→

Sales reps waste time chasing unqualified leads, resulting in low conversion rates and inefficient resource allocation. Manual lead scoring is inconsistent and doesn't adapt to changing buyer signals.

Frequently Asked Questions

Braze offers: Canvas Journey Orchestration: Canvas is Braze's flagship visual journey builder that enables marketers to create sophisticated, mu. Intelligent Channel Selection: Braze's Intelligent Channel feature uses machine learning algorithms to automatically determine the . Real-Time Data Streaming: Braze's real-time data infrastructure processes customer events and behavioral signals within millis. Predictive Analytics Suite: Braze's predictive analytics capabilities leverage machine learning to forecast customer behavior be. Content Personalization Engine: Braze's personalization engine goes beyond simple merge tags to deliver truly individualized content.

1. Canvas Journey Orchestration: Canvas is Braze's flagship visual journey builder that enables marketers to create sophisticated, multi-step customer journeys without writing code. T... 2. Intelligent Channel Selection: Braze's Intelligent Channel feature uses machine learning algorithms to automatically determine the optimal communication channel for each individual... 3. Real-Time Data Streaming: Braze's real-time data infrastructure processes customer events and behavioral signals within milliseconds, enabling immediate personalization and tri...

1. AI-generated content requires human review to ensure accuracy and brand voice consistency. 2. Initial setup and integration may require technical resources or onboarding support. 3. Feature depth means users may not utilize all capabilities, potentially reducing ROI for simpler use cases.

Braze was founded in 2011. The company has raised Public company. This varies based on your specific requirements, industry, company size, and use case. For detailed information tailored to your situation, consult with the vendor or implementation partner who can provide guidance based on their experience with similar organizations. Most providers offer demos, trials, or consultations to help you evaluate fit before committing.

Braze uses a enterprise pricing model. This varies based on your specific requirements, industry, company size, and use case. For detailed information tailored to your situation, consult with the vendor or implementation partner who can provide guidance based on their experience with similar organizations. Most providers offer demos, trials, or consultations to help you evaluate fit before committing.

Common use cases for Braze include: BrazeAI personalization, Real-time data activation. This functionality is designed to streamline workflows and improve efficiency. Features may include automation, analytics, reporting, and collaboration tools. Specific capabilities depend on the plan level and product version you choose. Advanced features may require add-ons or enterprise plans.

AI-powered customer journey orchestration with real-time personalization across all channels. Braze's Canvas feature uses machine learning to automatically optimize send times, channel selection, and message content based on individual user behavior patterns. The platform processes billions of data points daily to deliver personalized experiences in real-time, with customers reporting 20-40% improvements in engagement metrics. Canvas Flow enables marketers to build sophisticated multi-step journeys with intelligent branching, experimentation, and automated optimization that continuously learns from customer responses to improve performance over time.

Braze serves various industries including: Retail & E-commerce, Financial Services, Media & Entertainment, Quick Service Restaurants, Travel & Hospitality. Braze serves retail and e-commerce brands with capabilities specifically designed for driving purchase behavior and customer loyalty. The platform enables abandoned cart recovery campaigns that trigger within minutes of cart abandonment, personalized product recommendations based on browsing and purchase history, and coordinated promotional campaigns across email, push, and SMS. Retailers use Braze to create sophisticated loyalty program communications, back-in-stock alerts, and post-purchase engagement sequences that drive repeat purchases and increase customer lifetime value.