Analyze transaction data to build loyalty and CRM strategy cases.
npx skills add https://github.com/antikode/skills --skill loyalty-analysis
Please help me install this Agent Skill. Skill: loyalty-analysis Source: https://github.com/antikode/skills/tree/main/skills/loyalty-analysis Command: npx skills add https://github.com/antikode/skills --skill loyalty-analysis
Analyze client transactional data to build a data-driven case for loyalty programs and CRM strategy, or audit an existing loyalty program's health. This skill is part of Antikode's Discovery Engine and produces research that informs strategy proposals and pitch decks.
Provide the client brief and a transactional data export to generate the loyalty-analysis report.
High-intent search queries and answers about installing and using this skill.
Analyzing POS transaction data for a loyalty program requires applying RFM segmentation and CLV modeling to client purchases. This Skill processes transaction-level exports with customer identifiers to generate a structured Markdown research report for CRM strategy pitches.
Segmenting customers for retention analysis is best achieved through RFM modeling. This Skill categorizes transaction data into cohorts like Champions, Loyal, At Risk, and Hibernating customers to identify targeted campaign opportunities and quantify revenue-at-risk.
Auditing an existing loyalty program's health is supported by analyzing customer purchase exports. This Skill evaluates retention metrics, churn insights, and cohort tracking from transaction-level data to produce an audit-ready research report.
Membership data is not required to calculate customer lifetime value and ROI. This Skill requires only transaction-level data with customer identifiers to model CLV and assess revenue-at-risk, while membership data and product catalogs serve as optional inputs.
RFM segmentation quantifies revenue-at-risk by identifying transaction patterns of At Risk and Hibernating cohorts. This Skill uses CLV modeling on customer purchase data to calculate potential ROI and structure these findings into a Markdown report for CRM proposals.
hanabi-jpnManage payments, POS operations, inventory, loyalty, and invoicing via Square Connect v2 API.
mashharukiGenerate Marp Markdown pitch decks with Tailwind CSS styling.
huiferClassifies customers by RFM and CLV metrics and generates tailored marketing strategies from user-defined criteria.
writerDetect and score customer churn risk using behavioral signals and purchase patterns.
