菜单
Creates customer segments based on purchase behavior, engagement patterns, and lifetime value. Implements RFM (Recency, Frequency, Monetary) analysis and behavioral cohorts. Enables targeted marketing campaigns, personalized recommendations, and churn prediction for each segment.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Helps design statistically rigorous A/B tests for marketing campaigns, landing pages, and product features. Calculates required sample sizes, defines success metrics, sets up test variants, and analyzes results with confidence intervals. Prevents common testing mistakes like peeking and underpowered tests.
Detects abandoned carts and triggers recovery workflows including email sequences, discount offers, and retargeting campaigns. Analyzes cart abandonment patterns to identify friction points in the checkout flow. Tracks recovery rate and revenue recaptured.
Automates the bank reconciliation process by matching transactions from bank feeds with accounting records in QuickBooks or Xero. Identifies unmatched transactions, suggests matches for review, and flags discrepancies. Reduces manual reconciliation time and improves financial accuracy.
Creates multi-channel marketing campaigns with automated workflows. Designs email sequences, social media schedules, and ad targeting rules. Tracks campaign performance across channels and optimizes based on engagement metrics and conversion data.
Creates intelligent chatbot workflows that handle common customer queries, collect information, and route complex issues to human agents. Designs conversation flows, configures response templates, and tracks chatbot performance metrics like resolution rate and handoff rate.
Performs cohort analysis to understand user retention, engagement, and revenue patterns over time. Groups users by signup date, acquisition channel, or plan type and tracks how their behavior changes week over week. Identifies which cohorts retain best and what drives long-term engagement.
| name | customer-segmentation |
| displayName | Customer Segmentation |
| tagline | Segment customers by behavior, purchase history, and lifetime value for targeted marketing. |
| description | Creates customer segments based on purchase behavior, engagement patterns, and lifetime value. Implements RFM (Recency, Frequency, Monetary) analysis and behavioral cohorts. Enables targeted marketing campaigns, personalized recommendations, and churn prediction for each segment. |
| department | ["E-commerce","Marketing","Data & Analytics"] |
| use_cases | ["Customer Analytics","Personalization","Retention Marketing"] |
| tools_required | ["Shopify MCP"] |
| agents_compatible | ["Claude / Claude Code","Cursor","Windsurf","ChatGPT","Any MCP-compatible agent"] |
| author | Webrix |
| verified | true |
| updatedAt | "2026-05-08T00:00:00.000Z" |
| version | 1.0.0 |
| exampleInput | Segment our Shopify customers by purchase behavior. Use RFM analysis. Identify VIPs and at-risk customers. |
| exampleOutput | Customer Segmentation — RFM Analysis SEGMENTS (4,200 total customers) Champions (8%): 340 customers — High R, High F, High M Avg LTV: $1,240 Action: VIP rewards, early access Loyal (15%): 630 customers — Med R, High F, Med M Avg LTV: $680 Action: Loyalty program, upsell At Risk (12%): 504 customers — Low R, Med F, Med M Avg LTV: $420 Action: Win-back campaign, survey New (20%): 840 customers — High R, Low F, Low M Avg LTV: $85 Action: Onboarding sequence, welcome offer Dormant (45%): 1,886 customers — Low R, Low F, Low M Avg LTV: $45 Action: Re-engagement or sunset KEY INSIGHTS - Champions generate 35% of revenue (8% of customers) - 504 at-risk customers represent $211K in potential churn - New customer conversion to Loyal: 22% within 90 days |
Segment customers by behavior, purchase history, and lifetime value for targeted marketing.
Integrations: Shopify
Extract purchase history, engagement data, and customer attributes.
Score customers on recency, frequency, and monetary value.
Create actionable segments with recommended marketing strategies.
Deliver:
