strategist-campaign-management

Analyze Braze Canvas journey drop-off by applying step- and variant-level Canvas analytics to locate weak components and multi-step flow friction. Extract canvas.data_summary and sends.data_series to identify exact drop-off points and recommend branching changes to improve conversion rates.

Optimize Braze campaign timing by pulling daily send series and Canvas rollups to establish performance baselines. Apply timing-optimization analysis to sends.data_series and canvas.data_summary data to identify behavioral patterns and recommend precise launch timing adjustments.

Audit Braze campaign delivery settings by comparing campaign and Canvas configurations, conversion windows, and targeting parameters. Apply configuration audit logic to detect mismatches that skew results and surface inconsistencies between intended delivery settings and actual setup.

Compare Braze Canvas A/B test variants by applying variant-level Canvas analytics to evaluate performance differences across branches. Generate stakeholder reporting by summarizing A/B comparison results, drop-off analysis, and configuration audit findings into actionable strategic recommendations.

Braze send-level data retention is limited to a 14-day window for sends.data_series analytics. Handle pagination constraints and this 14-day retention limit when pulling historical send analytics to ensure no performance data is lost during baseline analysis.

You need access to Braze API sends.data_series, canvas.data_summary, and campaign and Canvas details endpoints to run a full performance audit. These endpoints provide the send-level analytics and Canvas rollup data required for timing, sequencing, and configuration mismatch analysis.