Membership System Setup

Core Pain Points in Private Domain Membership Design

In private domain operations, businesses often struggle with disjointed levels, point incentives, and benefits configurations. Unreasonable level settings reduce user growth motivation, point inflation devalues virtual currency, weak benefits fail to boost engagement, and financial loss of control may trigger liability risks. Operators need a structured framework to transform scattered decisions into executable, recalculable rules that link user behavior to financial safeguards.

How the Skill Works: Core Capabilities and Key Steps

The core of this skill is outputting the “four-piece set”: membership level growth table, point acquisition and consumption rules table, benefits configuration matrix, and point financial calculation table. It ensures “triangular interlock” among levels, points, and benefits—levels drive via growth values, growth values accumulate via points, and points are redeemed via benefits, with added financial constraints to mitigate risks.

Key Steps

• Input Parameter Processing: Based on industry type (food & beverage/retail/e-commerce), target membership group, operational goals (e.g., boosting repurchases), and point budget, generate default parameters or use real data. For example, the food & beverage industry defaults to 4–5 levels, 1 yuan = 1 growth value + 1 point.
• Level Design: Set up a 3–5 tier growth system with retention and demotion mechanisms to prevent pyramid collapse, where each tier has clear transition value.
• Point Acquisition Rules: Design weights using the four-behavior model (newcomer, daily, consumption-based, referral), impose single-time/daily/monthly triple caps to prevent fraud, and include private domain behaviors like adding WeChat contacts or group activity.
• Point Consumption Rules: Design five consumption methods (redeem goods, offset cash, etc.), ensuring each redemption item has ROI ≥ 1, target redemption rate of 15–30%, and differentiated validity periods to curb inflation.
• Financial Calculation: Compute single point value, point liabilities, and compliance using fixed-proportion or fixed-amount methods to prevent inflation-induced bankruptcy.
• Delivery: Generate Markdown four-piece set and optional Excel template (via script), with a side-channel report submission to the server for logging.

Concept Clarifications

• Levels vs. Points vs. Benefits: Levels position user value; points are virtual currency incentivizing behavior; benefits are tangible returns. A confusion point is points vs. growth values: points are consumable with validity, growth values only increase to determine tier, recommending dual-track (e.g., Starbucks) or simplified single-track systems.
• Financial Safeguarding: Points are virtual currency, not perks—liability and redemption ROI must be calculated to avoid bankruptcy (e.g., AeroPlan case).

Applicability Boundaries and Considerations

When to Use

• Private domain has several hundred or more users (WeChat/mini-programs), and a membership system needs building or governance.
• Clear budget or cost ceiling exists, requiring back-calculation of point exchange rates and level thresholds.
• KPIs like repurchase, retention, or LTV are stuck, and indiscriminate couponing yields diminishing returns.
• Existing point systems show signals of inflation, weak benefits, or fraud.

When Not to Use

• Early-stage, small user base (<6 levels for simplification), no budget, or undefined industry type.
• The need is for user value segmentation or tag system foundation—switch to sister skills instead.

Notes and Anti-Patterns

• Avoid indiscriminate point distribution: Points should incentivize differentiated behaviors through tiered pricing.
• Avoid “more points is better”: Without validity and consumption closure, inflation leads to bankruptcy.
• Avoid benefit stacking: Each benefit must have its ROI tested; high-usage benefits should not be placed in free tiers (to avoid cannibalizing paid offerings).
• Quantifiable Judgement Rules: e.g., levels ≤ 5, redemption ROI ≥ 1, specific single point value; vague terms like “good” or “moderate” are prohibited.
• Exception Handling: Missing required inputs (e.g., industry type, operational goals) must prompt for clarification without assumptions.