學生教育優惠長期獲客|簡詩 AI

👤 公眾號:簡詩AI 📦 v1.0.2 ⭐ 4.3 ⬇️ 104 下載
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📖 技能介紹


name: education-program-acquisition-plan slug: education-program-acquisition-plan version: 1.0.2 displayName: "學生教育優惠長期獲客|簡詩 AI" summary: "為軟體服務、開發工具和效率產品設計學生與教師資格、折扣、驗證、校園合作和畢業轉化方案,培養長期使用者。" description: "為軟體服務、開發工具和效率產品設計學生與教師資格、折扣、驗證、校園合作和畢業轉化方案,培養長期使用者。" tags: ["growth-traffic", "jianshi-ai"]


Channels: Education Program

Guides student and education discount programs as an acquisition channel. Targets students and educators; common for SaaS, dev tools, and productivity apps. ~65% of students who use professional tools in school continue using them in their first jobs—education discounts are long-term customer acquisition, not just revenue loss.

When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Initial Assessment

Check for project context first: If .claude/project-context.md or .cursor/project-context.md exists, read it for product, audience, and pricing.

Identify: 1. Product type: SaaS, dev tool, design tool, productivity 2. Student fit: Is your ICP or future ICP student-aged? 3. Discount structure: First-time vs renewal; % or fixed 4. Verification: .edu, student ID, third-party (SheerID, UNiDAYS)

Education Program vs Other Channels

Dimension Education Program Startups Program Referral
Audience Students, educators Founders, early-stage Existing users
Incentive Discount, free tier Discount, credits Discount, credits
Verification .edu, student ID, SheerID/UNiDAYS Revenue, team size None (user-driven)
LTV focus Future customers; 65% continue post-grad Early adopters Referred users

Discount Structures

Type Typical Range Use
First-time / registration 30–50% off Apply at signup; drives conversion
Ongoing / renewal 15–25% off Retain students; lower than first-time
Free tier Full access free JetBrains, GitHub Education; highest adoption
Flat academic rate Simplified pricing Easier for students to understand

Example: 30% off on registration day; 15% off on renewal. Align with discount-marketing-strategy for financial guardrails (LTV:CAC, qualification criteria).

Verification

Method Use
.edu email Instant; low friction; US-centric
Student ID upload Manual review; global; document must show name, institution, expiry
SheerID Third-party; 200K+ data sources; verify → promo code at checkout
UNiDAYS Third-party; 98%+ automated; 800+ brands; marketplace reach

When to verify: At registration (recommended when discount applies at signup) or at checkout. Registration-time verification = single decision point; user claims discount where they convert.

Placement Priority

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Priority Location Purpose
P0 Registration / signup flow User claims discount here; must show when discount applies at signup
P1 Pricing page Student tier or "Student discount" block; keeps single decision point
P1 Homepage banner or CTA "Students: 30% off today, 15% off ongoing"; top-banner-generator
P2 Standalone page /student-discount Optional; for "student discount" SEO or paid ad landing page

Principle: When discount applies at registration, core placement is registration flow. Pricing page and homepage support discovery. Standalone page only if needed for SEO or ads—avoid duplication when persona pages (e.g. "for students") already exist.

Page Strategy

Approach When
Embed in pricing Student as tier or block; link to full pricing; no separate page
Registration only Discount claimed at signup; pricing page shows "Student discount available—verify at signup"
Standalone /student-discount "Student discount" search intent; paid ad landing; persona page would duplicate

See startups-page-generator for page structure when a standalone education page is needed; pricing-page-generator for Special programs section.

Implementation Flow

  1. Define discount: First-time %, renewal %; align with pricing-strategy, discount-marketing-strategy
  2. Choose verification: .edu (instant) vs SheerID/UNiDAYS (broader, automated)
  3. Placement: Registration (P0); pricing page (P1); homepage banner (P1); standalone page (P2 if needed)
  4. Graduation transition: Plan how students convert to full price when eligibility ends
  5. Track: Student signups, conversion rate, LTV of student cohort

Best Practices

  • Low friction: .edu = instant; ID upload = clear requirements; third-party = one-click verify
  • Abuse prevention: Revoke if ineligible; annual re-verification; limit per person
  • Messaging: "We've been there"; "Grow with us"; social proof ("X students use [Product]")
  • Graduation: Email before expiry; offer transition discount to full plan

Output Format

  • Discount structure (first-time, renewal)
  • Verification method
  • Placement (registration, pricing, homepage, standalone)
  • Page strategy (embed vs standalone)
  • Related skills for execution (pricing-page, startups-page, top-banner, discount-marketing)
  • discount-marketing-strategy: Discount structure, financial guardrails; education is a campaign type
  • pricing-strategy: Base price; education discount applies on top
  • pricing-page-generator: Special programs section; Student tier or block; placement P1
  • startups-page-generator: Standalone education page when needed; same structure for startups + education
  • top-banner-generator: Homepage banner "Students: X% off"; placement P1
  • landing-page-generator: /student-discount landing page when used for SEO or ads
  • signup-login-page-generator: Signup is P0 for student discount; discount block, verification at registration
  • use-cases-page-generator: "For students" use case; avoid duplicate "for students" page

簡詩 AI 安全邊界

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  • 涉及傳送、釋出、刪除、付款、部署或其他外部寫入時,先展示目標與影響並取得使用者明確確認。
  • 憑據只用於使用者指定的對應官方服務,不回顯、不記錄,也不轉發到無關地址。
  • 命令和程式碼預設作為參考;只有使用者明確要求執行且目標範圍清楚時才可執行。

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🤖 AI 評測

這是一份結構清晰、內容實用的教育優惠獲客策略指南,提供了折扣設計、驗證方式、頁面佈局等系統化建議,適合作為營銷決策參考。但策略深度偏淺,缺少具體執行案例和本地化內容,中文表達偶有翻譯感。總體質量中上,能滿足基礎需求但仍有最佳化空間。

📊 多維度評分

適應性4.3
規範性4.1
有效性4.6
可靠性4.1
可信度4.4

📁 包含檔案 (5 個)

📄 DERIVATIVE_NOTICE.md 486 B
📄 LICENSE.md 1 KB
📄 ORIGIN.json 1.2 KB
📄 SKILL.md 7 KB
📄 agents/openai.yaml 388 B