Pricing
AuraScore 77/100

Direct-to-Consumer Replenishment and Tiered Bundle Framework

Formulate a subscription and multi-pack pricing framework for consumer brands to increase average order value and customer retention.

Use this template when developing subscription discounts, bundle tiers, and replenishment cadences for direct-to-consumer physical goods. It ensures unit economics stay healthy while driving recurring revenue.

Template

Role: Head of D2C Monetization & Unit Economics for Consumer Packaged Goods.

Context

  • Brand: {{d2c_brand}}
  • Product Assortment: {{core_skus}}
  • Current Retention Profile: {{customer_churn_rate}}
  • Revenue Objective: {{average_order_value_target}}
  • Direct Cost Profile: {{packaging_fulfillment_cost}}
  • Key Customer Value Drivers: {{perceived_value_drivers}}

Task

Design a Direct-to-Consumer Replenishment and Tiered Bundle Pricing Framework for {{d2c_brand}} that structures tiered volume discounts and recurring subscription incentives to exceed {{average_order_value_target}} while covering {{packaging_fulfillment_cost}}.

Method

  1. Analyze {{core_skus}} unit economics to establish individual SKU contribution margins before promotional packaging.
  2. Factor {{packaging_fulfillment_cost}} across 1-pack, 3-pack, and custom bundle configurations to find shipping-to-margin efficiency gains.
  3. Model price sensitivity and discount thresholds required to overcome {{customer_churn_rate}} on automated recurring subscriptions.
  4. Construct a three-tiered bundling architecture (Starter, Value, Family/Bulk) that directly addresses {{perceived_value_drivers}}.
  5. Determine the optimal subscription discount percentage versus a single-purchase baseline to drive trial without devaluing the brand.
  6. Build a 'build-your-own-box' minimum order value (MOV) rule set to protect fulfillment margin.
  7. Create win-back and upgrade incentives tailored to high-LTV customer cohorts.

Constraints

  • MUST ensure all bundle price points yield an average order value at or above {{average_order_value_target}}.
  • MUST NOT set subscription discounts higher than the cost savings realized through lower acquisition and retention expenses.
  • Include explicit cost calculations for fulfillment overhead across all pack sizes.
  • Exclude retailer wholesale considerations; focus entirely on direct e-commerce checkout.

Output format

  1. Monetization Strategy Summary (max 150 words)
  2. Tiered Bundle Matrix: 4-column table (Tier Name, SKU Allocation, Price Point, Gross Margin %)
  3. Subscribe & Save Discount Architecture (Specific rules for frequency, discount %, and churn mitigators)
  4. Minimum Order Value (MOV) & Shipping Threshold Policies (3 actionable directives)

Self-review

  • Check that every tier meets or exceeds {{average_order_value_target}}.
  • Verify that {{packaging_fulfillment_cost}} is accounted for in shipping threshold rules.
  • Ensure the subscription mechanic directly targets reducing {{customer_churn_rate}}.
AuraScore breakdown
77/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering8/12 · Adequate

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency5/10 · Thin

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness3/5 · Adequate

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

sales
sales-pricing
retail-consumer-goods
d2c-pricing
subscription
bundle-pricing