Braze Customer Engagement Platform

SkillCommunication

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.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Braze Customer Engagement Platform skill

What this skill tells your AI

The instructions your AI receives, as published by thatrebeccarae/claude-marketing in skills/braze/SKILL.md and read by ahel’s review.

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

MetricGoodGreatWarning
Email Open Rate20-25%30%+<15%
Email Click Rate2-3%4%+<1.5%
Push Open Rate (iOS)3-5%7%+<2%
Push Open Rate (Android)5-8%12%+<3%
In-App Click Rate15-20%25%+<10%
Content Card Click Rate10-15%20%+<5%
SMS Click Rate8-12%15%+<5%
Unsubscribe Rate (email)<0.3%<0.1%>0.5%

Essential Canvas Checklist

  1. Onboarding — Multi-step cross-channel (push opt-in prompt, email welcome, in-app tutorial)
  2. Activation — Drive key actions in first 7 days (feature adoption, profile completion)
  3. Re-engagement — Target lapsed users (7d, 14d, 30d inactivity tiers)
  4. Transactional — Order confirmations, shipping updates, receipts (use Transactional API)
  5. Promotional — Scheduled campaigns with audience targeting and frequency caps
  6. Abandoned Cart / Browse — Trigger-based with exception events for conversion
  7. Winback — Long-term lapsed users (60d, 90d, 120d)
  8. Feature Announcement — Targeted by segment, channel preference, and platform
  9. NPS / Feedback — Post-interaction surveys via in-app or email
  10. Sunset — Suppress unengaged to protect deliverability

Workflow: Full Braze Audit

When asked to audit a Braze workspace:

  1. Canvas & Campaign Inventory — List all active Canvases and campaigns, identify gaps
  2. Channel Coverage — Map which channels are active (email, push, SMS, in-app, Content Cards)
  3. Segmentation Review — Evaluate segment definitions, overlap, and growth
  4. Data Architecture — Custom events, attributes, schema consistency, data freshness
  5. Personalization — Liquid usage, Connected Content calls, Catalog implementation
  6. Performance Metrics — Channel-level KPIs, Canvas step conversion rates, variant performance
  7. Deliverability — Email reputation, push token health, SMS compliance
  8. Frequency & Fatigue — Global frequency caps, quiet hours, Intelligent Timing usage
  9. Integration Health — SDK version, Currents export, CDP sync, webhook reliability
  10. 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.

Signals

GitHub stars
136
Forks
23
Last commit
May 2026
Advanced
Catalog kind
skill
Gateway key
braze
Source
github.com/thatrebeccarae/claude-marketing