analyst-tracking

Analyze Brake user behavior signals for attribution and campaign diagnostics.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Braze tracking signals (email pixels, clicks, push direct and influenced opens, uninstall tags, and location) are noisy, configurable, and often misunderstood, which leads to inaccurate attribution and misleading analytics. This Skill helps analysts interpret those signals, identify misconfigurations or opt-out states, and choose reliable metrics and windows for reporting and attribution.

Core Features & Use Cases

  • Email tracking diagnostics: Explain how per-profile open and click tracking affect email metrics and advise on compliance-safe configurations.
  • Push attribution analysis: Differentiate direct opens from influenced opens, tune attribution windows, and quantify sensitivity of influenced-open counts.
  • Uninstall and token troubleshooting: Interpret uninstall trends driven by FCM/APNs behavior, spike investigation, and campaign-level uninstall attribution.
  • Segment analytics enablement: Identify when historical segment analytics are available and how to enable them for cohort revenue and session analysis.
  • Location tracking guidance: Describe the semantics and limitations of "most recent location" for geotargeting and segmentation.
  • Use case: Diagnose a campaign with rising opens and uninstalls, determine signal reliability, and recommend instrumentation or segment changes.

Quick Start

Ask the skill to diagnose a campaign's attribution by comparing direct opens, influenced opens, uninstall spikes, and segment analytics settings for the relevant timeframe.

Frequently Asked Questions about analyst-tracking

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

FAQPage Schema
How do I differentiate direct opens from influenced opens in Braze push attribution?

Direct opens happen when a user launches the app directly from a push notification, while influenced opens occur when a user views a push and opens the app within the attribution window. This skill helps you tune attribution windows and quantify the sensitivity of those influenced-open counts for accurate reporting.

Why does Braze email tracking show inaccurate open and click metrics?

Braze email tracking can be inaccurate due to noisy tracking pixels and per-profile opt-out states. This skill diagnoses how per-profile open and click tracking configurations affect email metrics and advises on compliance-safe settings to ensure reliable attribution.

How do I troubleshoot uninstall spikes and push token errors in Braze?

Troubleshoot uninstall spikes in Braze by interpreting FCM and APNs behavior and investigating campaign-level attribution. This skill analyzes push token errors and SDK session signals to identify whether uninstalls are driven by platform behavior or campaign delivery issues.

What are the limitations of using most recent location for Braze geotargeting?

The most recent location signal in Braze is limited by its update frequency and does not represent continuous user movement. This skill describes the semantics and limitations of location tracking for geotargeting and segmentation to help you build more reliable location-based campaigns.

How do I enable historical segment analytics for Braze cohort revenue analysis?

Enable historical segment analytics in Braze by identifying when historical data becomes available for your workspace and configuring cohort settings for revenue and session analysis. This skill guides you through enabling these reports for accurate attribution modeling.

Can I configure per-user tracking opt-in and opt-out controls for Braze attribution models?

Yes, you can configure per-user tracking opt-in and opt-out controls to satisfy workspace-level attribution requirements. This skill helps you manage these controls alongside attribution window tuning to ensure user behavior signals are compliant and reliable for diagnosing campaign performance.