This skill transforms Net Promoter Score (NPS) data from a static metric into a dynamic operational framework for e-commerce brands. It guides Claude to analyze NPS distributions, identify churn correlations, and deploy specific playbooks for different customer segments: recovering addressable detractors, activating promoters for referrals and UGC, and nudging passive customers toward brand loyalty. By enforcing strict do-not-contact rules for unresolved complaints and treating NPS as a per-cohort leading indicator, it helps brands improve long-term LTV and prevent brand erosion caused by misaligned marketing outreach.
주요 기능
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02Automated NPS distribution and trend analysis via MCP integration
03Operational guardrails for suppression and do-not-contact lists
04Promoter activation strategies for referrals, UGC, and advocacy
05Passive-to-promoter conversion frameworks focusing on brand identity
06Segmented recovery playbooks for different types of detractors
사용 사례
01Creating damage-control workflows for customers with unresolved complaints
02Identifying high-risk customer cohorts before they officially churn
03Designing automated follow-up flows based on NPS score segments