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The goal is to segment users into a small number of actionable groups based on behavioral patterns to support targeted marketing campaigns. The workflow must analyze event behavior, user attributes, and account age to generate clear segment labels, defining characteristics, messaging themes, and estimated segment sizes. The segmentation must emphasize behavioral signals and avoid creating overly small clusters.
The goal is to help a Marketing Attribution specialist in Gaming create a rigorous, experiment-ready measurement plan. The workflow must transform funnel descriptions, marketing channels, event taxonomies, constraints, and success criteria into a tracking plan, experimentation design, analysis framework, and QA checklist. The system should ensure consistency of event definitions, experiment validity, and actionable interpretation guidance.
The workflow helps product teams interpret A/B test results by assessing both statistical and practical significance. It standardizes decisions on whether to ship variant B, stay with A, continue testing, or redesign the experiment. The workflow ensures rigorous, consistent evaluation using predefined confidence and lift thresholds.
Research
Applied and Infra AI | Ex-Looker (G ☁️) - ex CTO
Solutions Architect @ Meta | Marketing Attribution | Data Measurement | Gaming