| name | braze |
| description | Braze customer engagement platform expertise. Audit campaigns, Canvases, segments, messaging channels, and data architecture. Use when the user asks about Braze, customer engagement, push notifications, in-app messaging, cross-channel orchestration, or lifecycle marketing at scale. |
| license | MIT |
| origin | custom |
| author | Rebecca Rae Barton |
| author_url | https://github.com/thatrebeccarae |
| metadata | {"version":"1.0.0","category":"email-lifecycle","domain":"braze","updated":"2026-03-11T00:00:00.000Z","tested":"2026-03-17T00:00:00.000Z","tested_with":"Claude Code v2.1"} |
Braze Customer Engagement Platform
Expert-level guidance for Braze — auditing, building, and optimizing Canvases, campaigns, segments, data architecture, and cross-channel messaging.
Install
git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/braze ~/.claude/skills/
Core Capabilities
Canvas Auditing & Design
- Audit existing Canvases for logic errors, timing issues, and missed opportunities
- Design multi-step, multi-channel Canvases (email, push, SMS, in-app, Content Cards, webhook)
- Implement Canvas Flow features: Action Paths, Audience Paths, Experiment Paths, Decision Splits
- Review entry schedules, exception events, re-eligibility, and rate limiting
Segmentation & Targeting
- Build segments using Braze's filter system (user attributes, custom events, purchase behavior, engagement)
- Design segment extensions for complex queries (event property filters, nested AND/OR logic)
- Implement predictive audiences (Predictive Churn, Predictive Purchases)
- Connected Audience sync from external CDPs (Segment, mParticle, Amplitude)
Campaign Strategy
- Plan cross-channel campaigns: email, push, SMS, in-app messages, Content Cards, webhooks
- A/B and multivariate testing with Intelligent Selection
- Personalization with Liquid templating, Connected Content, and Catalogs
- Frequency capping and Intelligent Timing optimization
Data Architecture
- Design custom event and attribute schemas
- Implement Currents data export (to Snowflake, BigQuery, S3, Mixpanel)
- Plan data migration from other platforms (Klaviyo, Iterable, Salesforce MC)
- API integration patterns (REST API, SDK implementation)
Deliverability & Compliance
- Email: SPF, DKIM, DMARC, IP warming schedules
- Push: Token management, provisional authorization, opt-in strategies
- SMS: Short code vs long code, compliance (TCPA, CTIA), opt-in management
- GDPR/CCPA data handling and consent management
Key Benchmarks
| Metric | Good | Great | Warning |
|---|
| Email Open Rate | 20-25% | 30%+ | <15% |
| Email Click Rate | 2-3% | 4%+ | <1.5% |
| Push Open Rate (iOS) | 3-5% | 7%+ | <2% |
| Push Open Rate (Android) | 5-8% | 12%+ | <3% |
| In-App Click Rate | 15-20% | 25%+ | <10% |
| Content Card Click Rate | 10-15% | 20%+ | <5% |
| SMS Click Rate | 8-12% | 15%+ | <5% |
| Unsubscribe Rate (email) | <0.3% | <0.1% | >0.5% |
Essential Canvas Checklist
- Onboarding — Multi-step cross-channel (push opt-in prompt, email welcome, in-app tutorial)
- Activation — Drive key actions in first 7 days (feature adoption, profile completion)
- Re-engagement — Target lapsed users (7d, 14d, 30d inactivity tiers)
- Transactional — Order confirmations, shipping updates, receipts (use Transactional API)
- Promotional — Scheduled campaigns with audience targeting and frequency caps
- Abandoned Cart / Browse — Trigger-based with exception events for conversion
- Winback — Long-term lapsed users (60d, 90d, 120d)
- Feature Announcement — Targeted by segment, channel preference, and platform
- NPS / Feedback — Post-interaction surveys via in-app or email
- Sunset — Suppress unengaged to protect deliverability
Workflow: Full Braze Audit
When asked to audit a Braze workspace:
- Canvas & Campaign Inventory — List all active Canvases and campaigns, identify gaps
- Channel Coverage — Map which channels are active (email, push, SMS, in-app, Content Cards)
- Segmentation Review — Evaluate segment definitions, overlap, and growth
- Data Architecture — Custom events, attributes, schema consistency, data freshness
- Personalization — Liquid usage, Connected Content calls, Catalog implementation
- Performance Metrics — Channel-level KPIs, Canvas step conversion rates, variant performance
- Deliverability — Email reputation, push token health, SMS compliance
- Frequency & Fatigue — Global frequency caps, quiet hours, Intelligent Timing usage
- Integration Health — SDK version, Currents export, CDP sync, webhook reliability
- Recommendations — Prioritized by impact with estimated effort (Quick Win / Medium / Large)
Braze vs Klaviyo Context
When working with teams migrating or comparing:
- Braze excels at: Cross-channel orchestration, mobile-first (push, in-app), enterprise scale, real-time event streaming
- Klaviyo excels at: E-commerce focus, simpler setup, Shopify-native, strong email/SMS for DTC
- Key migration consideration: Braze's event/attribute model is more flexible but requires upfront schema design
How to Use This Skill
Ask me questions like:
- "Audit my Braze Canvases and identify gaps"
- "Design an onboarding Canvas for a mobile app"
- "Help me plan a migration from Klaviyo to Braze"
- "What's the best data architecture for a SaaS product in Braze?"
- "My push opt-in rates are low — help me design an opt-in strategy"
- "Build a re-engagement Canvas with Experiment Paths"
- "Plan IP warming for a new Braze workspace"
For detailed Braze data model, Liquid reference, API endpoints, and Canvas patterns, see REFERENCE.md.
