analyst-attribution

What problem does it solve?

Attribution and measurement data from multiple mobile measurement partners and ad platforms often disagree, making it hard to confidently determine which touchpoints drove installs, re-engagements, or conversions. This Skill provides a structured diagnostic lens to identify mismatched attribution windows, differing attribution models, missing postback mappings, and device identifier mapping issues that commonly cause discrepancies between Braze and external partners.

Core Features & Use Cases

• Partner mapping & integration checklist: Step‑wise guidance for mapping partner postbacks to Braze fields and verifying data import keys and endpoints.
• Model & window diagnostics: Compare last-touch, first-touch, linear, and algorithmic models and reconcile differences in attribution windows and view-through/click-through settings.
• Troubleshooting workflows: Walk through common issues such as missing device identifiers, organic vs. paid attribution, re-engagement vs. re-attribution, and community-maintained integration caveats.
• Analytics & segmentation advice: Use attribution fields for ROAS/CPA analysis, audience segmentation, and Currents/warehouse exports for cross-system reconciliation.
• Use Case: Diagnose why Braze shows fewer attributed installs than an MMP by validating device ID mappings, postback configuration, attribution windows, and event forwarding settings.

Quick Start

Analyze recent campaign attribution discrepancies between Braze and a specified MMP, identify likely root causes, and recommend configuration or segmentation changes to reconcile counts.