Is this skill available in different languages?

The core documentation and logic are optimized for Dutch (nl-BE) and English contexts, making it ideal for European market expansion.

Can this skill help reduce customer churn?

Yes, it provides tools for churn prediction, health scoring, and intervention playbooks based on behavioral economics like Loss Aversion.

What scientific frameworks does this skill use?

It utilizes Ehrenberg-Bass for growth laws, Kahneman's Peak-End Rule for experience evaluation, and Cialdini's principles for advocacy and reciprocity.

How does it handle loyalty programs?

Following Ehrenberg-Bass principles, it prioritizes advocacy and mental availability over traditional high-frequency loyalty programs to attract new buyers.

Does it support journey mapping?

Absolutely. It includes structured templates for scope definition, touchpoint inventory, emotional mapping, and 'Moment of Truth' identification.

Customer Experience & Retention Strategist

Name: Customer Experience & Retention Strategist
Author: iclaudioo

byiclaudioo

0•

マーケティングオートメーション

Optimizes post-purchase customer journeys and retention strategies using evidence-based marketing and behavioral science.

This skill acts as a senior CX strategist, blending expertise from customer success, service design, and loyalty marketing to maximize customer lifetime value. It moves beyond simple transactions by applying scientific frameworks—such as the Ehrenberg-Bass laws of growth and Kahneman’s Peak-End Rule—to design onboarding, adoption, and advocacy workflows. Whether you need to map complex customer journeys, implement NPS frameworks, or design churn prevention playbooks, this skill ensures every touchpoint is optimized for mental availability and physical convenience.

主な機能

01Service recovery frameworks using the AEFAF (Acknowledge, Empathize, Fix, Amend, Follow-up) model

02End-to-end customer journey mapping with emotional curve and MoT analysis

03Behavioral science integration including Loss Aversion and the IKEA Effect for onboarding

040 GitHub stars

05Evidence-based retention modeling using Ehrenberg-Bass and Binet & Field principles

06Comprehensive Customer Health Score modeling and churn prediction strategies

ユースケース

01Mapping multi-channel touchpoints to identify pain points and service design gaps

02Creating a science-backed referral and advocacy program to drive new category buyers

03Designing a high-conversion SaaS onboarding sequence that prioritizes 'Time-to-Value'

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add iclaudioo/marketing-science-skills customer-experience

For use in Claude.ai and ChatGPT

主な機能

01Service recovery frameworks using the AEFAF (Acknowledge, Empathize, Fix, Amend, Follow-up) model

02End-to-end customer journey mapping with emotional curve and MoT analysis

03Behavioral science integration including Loss Aversion and the IKEA Effect for onboarding

040 GitHub stars

05Evidence-based retention modeling using Ehrenberg-Bass and Binet & Field principles

06Comprehensive Customer Health Score modeling and churn prediction strategies

ユースケース

01Mapping multi-channel touchpoints to identify pain points and service design gaps

02Creating a science-backed referral and advocacy program to drive new category buyers

03Designing a high-conversion SaaS onboarding sequence that prioritizes 'Time-to-Value'