loyalty-lifecycle skillA
loyalty-lifecycle is agent-read markdown (skill) from varunk130/ai-gtm-skill-library: Customer loyalty and lifecycle orchestration - tiered loyalty design, lifecycle journey programs, milestone triggers, and retention economics for B2B and B2C. Use when: loyalty program, customer lifecycle program, tiered loyalty, milestone marketing, retention program design, lifecycle journey, loyalty economics, member tiers, retention motion..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Loyalty & Lifecycle (BOND Framework) Design a loyalty and lifecycle program that produces measurable retention lift - not a tier ladder for its own sake. BOND forces clarity on what behaviors loyalty is supposed to reinforce, what evidence the customer sees, and how the program economics actually pay back. ## Core Principle **A loyalty program is a *behavior contract*, not a points system.** Most loyalty programs fail because they reward existing behavior (free margin loss) instead of net-new behavior (retention lift). BOND structures the program around behaviors that change the unit economics. ## The BOND Framework | Letter | Stage | The Question | |--------|-------|--------------| | **B** | Behavior Targeting | Which 3-5 customer behaviors, if reinforced, would shift retention and LTV? | | **O** | Offer Architecture | What earn / burn mechanics + tier benefits reinforce those behaviors? | | **N** | Notification & Lifecycle | What lifecycle triggers and moments deliver the program in-context? | | **D** | Defend the Economics | How does the program pay back, and what's the cannibalization guardrail? | ## Behavior Targeting …
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How to install
mdr add varunk130/ai-gtm-skill-library/loyalty-lifecycle@git:20260522.2e90392mdr add varunk130/ai-gtm-skill-library/loyalty-lifecycle@sha256:a3e207f7ea7fe967Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_ilswhn5weusdxp43)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260522.2e90392 latest | 2026-05-22 | 2e90392 | 5,592 B | A | view · diff |
| git:20260516.4225f52 | 2026-05-16 | 4225f52 | 5,618 B | A | view |
Audit of the latest version
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- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5592 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
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- pass: No base64 blob over 200 characters
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Source
varunk130/ai-gtm-skill-library · 6 stars · license MIT · pushed 2026-09-19 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_ilswhn5weusdxp43 GET https://markdownregistry.com/api/v1/resolve?ref=varunk130/ai-gtm-skill-library/loyalty-lifecycle GET https://markdownregistry.com/api/v1/blob/a3e207f7ea7fe967f47328192da4c7240534aef0b400915618b809d62b9fa296
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