DriftWatch: Explainable Rules-Based Customer Activity ScoringDriftWatch: Explainable Rules-Based Customer Activity Scoring
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Ifeoluwapo's avatar
Ifeoluwapo Adelegan
• Oct 23
DriftWatch
DriftWatch is an API concept for identifying customers who may be becoming inactive.
Rather than introducing machine learning immediately, I designed the first version around an explainable rules-based scoring system.
The score considers signals such as:
Recent activity
Changes in engagement
Event severity
The approach is intentional.
Without sufficient real-world data, an ML model would add complexity without necessarily adding value.
The initial goal is to establish measurable signals, collect real usage data and use that information to determine whether machine learning is justified later.
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