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Found 24 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.
Use to analyze loyalty member behavior, segmentation, and experiment results.
Systematically discover and define your Ideal Customer Profile with firmographic criteria, buyer personas, scoring matrices, anti-ICP signals, and validation methodology.
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".
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`.
Expert product discovery guidance for user research and problem validation. Use when conducting user interviews, validating problems, applying jobs-to-be-done framework, sizing opportunities, customer segmentation, competitive analysis, prototype testing, usability testing, designing surveys, or synthesizing research insights. Covers discovery sprints, continuous discovery, and research operations.
Expert framework for assessing and achieving product-market fit. Combines PMF measurement methodologies, Sean Ellis survey, retention analysis, segment-specific PMF, and post-PMF scaling strategy. Use when determining if product has PMF, measuring user engagement, running PMF surveys, or deciding whether to scale or keep iterating.
Plan Amazon Brand Tailored Promotions. targeted discounts sent to specific shopper audiences such as repeat customers, recent customers, brand followers, cart abandoners, and high-spend shoppers. Picks the right audience, the right discount depth, and the right goal for each promotion. Use when a user asks about Brand Tailored Promotions, targeting past customers with a discount, re-engaging repeat buyers, rewarding brand followers, or winning back lapsed customers. Trigger phrases: "brand tailored promotions", "BTP", "target repeat customers", "win back customers", "brand follower discount". Works with zero tools. the user describes their brand and audience sizes.
Use to link segments and insights to GTM plays, owners, and measurement plans.
Use to design and document customer segments with clear criteria, metrics, and governance.
Identifies which user segment to focus on first using pain severity, willingness to pay, reachability, and strategic alignment. Use when choosing your initial target audience or re-evaluating segment focus.
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'.