analyst-activation-data

Analyzes Braze custom data definitions to outline schema, governance rules, and reporting plans.

Updated Apr 6, 2026
One-click install
npx skills add https://github.com/delta-and-beta/braze-agency --skill analyst-activation-data
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analyst-activation-data
Source: https://github.com/delta-and-beta/braze-agency/tree/main/skills/analyst-activation-data
Command: npx skills add https://github.com/delta-and-beta/braze-agency --skill analyst-activation-data

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Helps Braze teams define, govern, and interpret custom data (events, attributes, purchases, and recommended events) so campaigns and analytics stay accurate and scalable.

Core Features & Use Cases

  • Schema definition and maintenance for custom data primitives (events, attributes, purchase events, recommended events)
  • Governance guidance including naming conventions, blocklisting considerations, and schema hygiene
  • Interpretation of report metrics across channels, canvases, and campaigns to drive data-driven decisions
  • Pre-population and onboarding guidance to accelerate SDK integration and campaign setup

Quick Start

Describe your Braze custom data scenario and ask the analyst-activation-data skill to outline the schema, governance rules, and reporting plan.

Frequently Asked Questions about analyst-activation-data

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I define a custom event schema for Braze campaigns?

To define a Braze custom event schema, outline your custom events, custom attributes, and purchase events while establishing naming conventions and governance rules. This maintains accurate reporting and schema hygiene across campaigns and canvases.

What is Braze custom data governance and why does it matter?

Braze custom data governance is the practice of standardizing custom events, attributes, and recommended events through naming conventions and schema hygiene. It prevents reporting inaccuracies and ensures your canvas and campaign analytics remain scalable and actionable.

How do I set up recommended events and purchase events in Braze?

Setting up recommended and purchase events involves analyzing custom data definitions to build a structured schema. Applying governance rules and pre-population onboarding guidance accelerates SDK integration and ensures accurate campaign analytics.

Can I use this approach to review existing Braze canvas reporting metrics?

Yes, you can review canvas reporting metrics by applying schema governance rules and data definitions to your existing custom events. This interpretation identifies reporting discrepancies and drives accurate, data-driven decisions across campaigns.

What are the best practices for Braze custom attribute naming conventions?

Best practices for custom attribute naming conventions involve establishing schema hygiene and blocklisting considerations during schema design. Consistent naming ensures accurate metric interpretation and maintains data governance across all campaigns.