Private Domain Sales and Repurchase Strategy

Problems Addressed

Private domain operations often face issues like first-purchase and repurchase rates stagnating around 8-12%, poor recall of dormant users, and monotonous messaging lacking standardized SOPs. Managers rely on fuzzy experience, unable to convert goals like "boost repurchase" into quantifiable, executable plans.

How the Skill Works

The skill uses a five-element configuration method (crowd package, trigger condition, messaging, benefits, guide actions) to decompose four conversion funnels:
- First-Purchase Conversion Funnel: Targets the 48-hour window after new followers connect, using a T+day sequence with multi-wave differentiated prompts.
- Repurchase Strategy Table: Triggers based on product replenishment cycles (e.g., mid-frequency, low-frequency high-value), referencing RFM segmentation results.
- WeCom Message Sets: Adopts a five-part structure (opening → value → scarcity → call to action → follow-up), including FAQ and T+ follow-up sequences.
- Dormant Recall Plan: Uses six-layer graduated outreach with benefits capped at 70% of new customer offers, attributing via 30-day contribution value.

Key steps include category metric calibration (e.g., high-frequency consumables emphasize repurchase frequency, low-frequency high-value shifts to cross-selling), funnel decomposition and five-element filling, and quality checks (frequency limits: 1V1 ≤2 times/week, mass messages ≤4/customer/month). The skill outputs a four-piece Markdown report and optional Excel template, supporting side-channel submission to the server.

Scope and Considerations

The skill focuses on the "execution funnel axis," orthogonally referencing the parent skill's RFM value segmentation and the sibling skill's lifecycle stages without recalculation. It applies to scenarios with user accumulation (e.g., hundreds of WeCom contacts) requiring executable kits. For low-frequency high-value categories (e.g., cars, jewelry), deprioritize the repurchase funnel and shift to cross-selling and referrals to boost LTV. Avoid pitfalls like mass messaging, over-limit recall benefits, and coarse dormancy segmentation.