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Found 17 Skills
Perform RFM (Recency, Frequency, Monetary) customer segmentation analysis on e-commerce data. Use when you need to analyze customer value, identify VIP customers, or create marketing segments. Automatically cleans data, calculates RFM metrics, applies K-means clustering, and generates visualization reports with Chinese language support.
Build a go-to-market (GTM) strategy for launching a product or entering a new market. Use when planning how to reach customers, position your product, choose channels, set pricing, and execute launch. Covers market entry strategy, customer segmentation, positioning, channel strategy, and GTM execution plan. Trigger on "go-to-market", "GTM strategy", "market entry", "launch strategy", "how to reach customers", "GTM plan".
Use to design and document customer segments with clear criteria, metrics, and governance.
Expert customer lifecycle marketing guidance for retention, expansion, and advocacy. Use when designing onboarding programs, creating upsell strategies, preventing churn, building referral programs, or writing customer success content. Use for NPS programs, win-back campaigns, customer segmentation, and lifecycle email sequences.
Use to link segments and insights to GTM plays, owners, and measurement plans.
Perform RFM (Recency, Frequency, Monetary) customer segmentation from transaction data. Use this skill when the user needs to segment customers by purchase behavior, identify high-value buyers, design retention campaigns, or prioritize marketing spend by customer value — even if they say 'who are our best customers', 'which customers are at risk of churning', or 'how do we target our marketing'.
Design value propositions for candidate customer segments and help the user choose the strongest one. Use when Codex needs to explain jobs, pains, and gains when needed, check niche-positioning prerequisites, ask one question at a time, present multiple value-proposition options, and write user-confirmed outputs into `opc-doc/`.
Brand Tailored Promotions — audience targeting, discount tiers, customer segmentation, repeat purchase incentives
Strategic Customer Success leadership guidance for CS org design, customer segmentation and tiering (tech touch, low touch, high touch), success metrics and KPIs (NRR, GRR, NPS, CSAT, CES), playbook development, executive stakeholder management, CS technology stack strategy, value realization frameworks, and customer journey mapping. Use when building CS teams, defining customer segments, designing playbooks, measuring success outcomes, or implementing CS platforms.
Define ideal customer profiles and buyer personas with structured frameworks. Use when the user asks about ideal customer profile, ICP, buyer persona, target audience definition, customer segmentation, customer research, user interviews, or persona creation. Trigger phrases include "ideal customer profile", "ICP", "buyer persona", "who is my customer", "target audience", "customer profile", "persona", "customer segmentation", "user research", "customer interview", "who should I target".
Systematically discover and define your Ideal Customer Profile with firmographic criteria, buyer personas, scoring matrices, anti-ICP signals, and validation methodology.
Write, debug, and explain ShopifyQL queries and Shopify Segment Query Language expressions. Use this skill whenever the user wants to query Shopify analytics data, build customer segments, write ShopifyQL for reports, explore sales/orders/products data via the Shopify Admin API, debug a ShopifyQL error, understand available tables/dimensions/metrics, or translate a business question into a Shopify query. Also triggers for: "ShopifyQL", "Shopify analytics query", "customer segment filter", "Shopify segment", "SHOW FROM sales", "GROUP BY in Shopify", "Shopify report query", or any mention of ShopifyQL tables like `sales`, `sessions`, `orders`.