Loci - Braze Integration and Automation

Common Integration Use Cases Between Loci and Braze

1. Personalized content recommendations trigger Braze campaigns

Data flow: Loci ? Braze

Loci analyzes user behavior and content affinity to identify the most relevant articles, products, resources, or offers. That recommendation data is passed into Braze so marketing teams can insert the best next content into email, push, in-app messages, or SMS campaigns.

• Improves click-through and conversion rates by matching content to user intent
• Reduces manual campaign segmentation and content selection effort
• Enables real-time personalization based on recent browsing or engagement signals

2. Braze engagement events refine Loci recommendation models

Data flow: Braze ? Loci

Braze campaign response data such as opens, clicks, conversions, and message dismissals can be sent back to Loci to improve recommendation relevance. This helps Loci learn which content types and topics drive engagement for different audience segments.

• Improves recommendation accuracy using downstream engagement signals
• Helps content teams understand which assets perform best by audience
• Supports continuous optimization of personalization logic

3. Trigger lifecycle journeys from content consumption behavior

Data flow: Loci ? Braze

When Loci detects meaningful content behavior such as repeated views, category interest, or high engagement with a topic, Braze can automatically enroll the user into a lifecycle journey. For example, a user reading multiple onboarding articles can be moved into a nurture sequence with related educational content.

• Automates journey entry based on real behavioral intent
• Supports onboarding, re-engagement, and upsell workflows
• Aligns content consumption with marketing automation

4. Suppress irrelevant messaging using content preference signals

Data flow: Loci ? Braze

Loci can identify content categories a user consistently ignores or avoids. Braze can use those preference signals to suppress irrelevant campaigns or exclude certain topics from future sends, reducing message fatigue and improving customer experience.

• Prevents over-messaging with low-value content
• Improves deliverability and engagement by reducing unsubscribes
• Supports more precise audience filtering for campaign operations

5. Use Braze customer attributes to personalize Loci recommendations

Data flow: Braze ? Loci

Customer profile data maintained in Braze such as lifecycle stage, region, language, product ownership, or loyalty tier can be shared with Loci to improve recommendation relevance. Loci can then tailor content suggestions based on both behavior and CRM context.

• Creates richer personalization using first-party customer data
• Improves relevance across different customer segments and markets
• Helps content teams deliver more targeted experiences at scale

6. Cross-channel content orchestration for editorial and marketing teams

Data flow: Bi-directional

Editorial teams can publish content in the CMS and let Loci rank it by relevance, while Braze distributes the highest-priority content through customer journeys. Performance data from Braze then feeds back into Loci to adjust future recommendations. This creates a closed-loop workflow between content operations and customer engagement teams.

• Connects content production, recommendation, and campaign execution
• Improves coordination between marketing, content, and analytics teams
• Enables faster testing of content themes across channels

7. Re-engagement campaigns based on declining content engagement

Data flow: Loci ? Braze

When Loci detects a drop in content interaction, Braze can launch a re-engagement campaign with personalized recommendations designed to recover interest. This is useful for subscribers, app users, or customers who have become inactive but still show topic-level affinity.

• Supports churn prevention and audience reactivation
• Uses behavioral signals to time outreach more effectively
• Increases the likelihood of returning users with relevant content

8. Analytics-driven optimization of content and campaign performance

Data flow: Bi-directional

Loci content performance metrics and Braze campaign engagement metrics can be combined in analytics platforms to evaluate which recommendations, topics, and message formats drive the best outcomes. Business teams can use this shared view to optimize both content strategy and customer engagement strategy.

• Provides a unified view of content and campaign effectiveness
• Helps identify high-performing topics, segments, and channels
• Supports data-driven decisions for personalization strategy