OpenText Magellan Text Mining Engine - Braze Integration and Automation

Common Integration Use Cases Between OpenText Magellan Text Mining Engine and Braze

1. Compliance-triggered customer messaging

Data flow: OpenText Magellan Text Mining Engine → Braze

OpenText Magellan Text Mining Engine can analyze customer communications, case notes, complaints, and regulatory documents to detect compliance-related issues such as policy breaches, misleading claims, or sensitive topics. When a risk condition is identified, the result can be sent to Braze to trigger a targeted customer message, such as a corrective notice, policy update, or required action reminder.

• Reduces manual review time for compliance teams
• Ensures timely, consistent customer communication
• Supports regulated industries such as banking, insurance, and healthcare

2. Customer sentiment and topic analysis for campaign personalization

Data flow: OpenText Magellan Text Mining Engine → Braze

OpenText Magellan Text Mining Engine can extract sentiment, intent, and recurring topics from support tickets, survey comments, chat transcripts, and social feedback. These insights can be pushed into Braze customer profiles to personalize campaigns based on customer concerns, interests, or satisfaction level.

• Improves message relevance and engagement rates
• Helps marketing teams avoid sending inappropriate offers to dissatisfied customers
• Enables more precise segmentation using unstructured feedback

3. Proactive retention campaigns based on churn signals

Data flow: OpenText Magellan Text Mining Engine → Braze

OpenText Magellan Text Mining Engine can scan unstructured service interactions, cancellation requests, and complaint narratives to identify churn indicators such as frustration, repeated service issues, or competitor mentions. Braze can then launch retention journeys with tailored offers, service recovery messages, or escalation workflows.

• Supports early intervention before customers leave
• Improves retention through timely, context-aware outreach
• Aligns customer service insights with marketing execution

4. Investigation-driven audience suppression

Data flow: OpenText Magellan Text Mining Engine → Braze

When OpenText Magellan Text Mining Engine identifies investigation-related terms in case files, legal correspondence, or internal reports, those customers or accounts can be flagged in Braze for suppression or restricted messaging. This prevents outreach during active disputes, fraud reviews, or legal holds.

• Reduces legal and reputational risk
• Prevents accidental contact during sensitive investigations
• Improves governance across legal, risk, and marketing teams

5. Personalized onboarding based on document and interaction analysis

Data flow: OpenText Magellan Text Mining Engine → Braze

OpenText Magellan Text Mining Engine can analyze onboarding forms, application notes, and inbound correspondence to determine customer needs, product interest, or complexity level. Braze can use these insights to deliver onboarding sequences tailored to the customer’s profile, such as setup guidance, educational content, or next-step reminders.

• Speeds time to value for new customers
• Reduces onboarding friction
• Improves conversion from trial or application to active use

6. Cross-functional alerting for high-value account issues

Data flow: OpenText Magellan Text Mining Engine → Braze

OpenText Magellan Text Mining Engine can detect mentions of high-value accounts, executive stakeholders, or strategic products in unstructured support and account management notes. Braze can then trigger coordinated communications, such as service updates, account check-ins, or loyalty messaging, based on the severity and account tier.

• Helps account teams respond faster to critical issues
• Improves coordination between support, sales, and marketing
• Supports differentiated treatment for premium customers

7. Feedback loop from campaign responses into text analytics

Data flow: Braze → OpenText Magellan Text Mining Engine

Braze campaign responses, message replies, and customer-generated content can be sent to OpenText Magellan Text Mining Engine for analysis. The engine can identify emerging themes, objections, product requests, or negative sentiment, giving business teams a clearer view of how customers are reacting to campaigns and journeys.

• Improves campaign optimization with qualitative insight
• Helps identify messaging issues early
• Supports product, marketing, and customer success teams with actionable feedback

8. Bi-directional enrichment for risk-aware engagement

Data flow: OpenText Magellan Text Mining Engine → Braze

OpenText Magellan Text Mining Engine can enrich customer records in Braze with extracted entities, topics, and risk indicators from unstructured sources, while Braze can send engagement outcomes back for further analysis. This creates a closed-loop workflow where customer behavior and text-derived insights continuously improve segmentation, compliance controls, and campaign targeting.

• Creates a more complete customer profile
• Improves governance and personalization at the same time
• Enables continuous refinement of engagement strategies