Bundle Offer Design - AOV Growth Kit

What This Agent Helps With

Bundle Offer Design helps marketplace sellers, DTC store owners, and ecommerce operators turn higher-AOV goals into a bundle, add-on, or tiered offer that buyers understand and margins can support.

What You Get

• Offer-type selection for fixed bundles, mix-and-match, add-ons, tiered discounts, starter kits, and replenishment packs
• Buyer-context and use-case logic so the bundle solves a complete job rather than feeling forced
• Hero SKU and attach SKU evaluation based on demand, conversion, reviews, margin, inventory, size, weight, return risk, and use logic
• Margin and operations check covering product cost, platform fees, payment fees, ad allocation, fulfillment, returns, and packaging
• Pricing ladder with single SKU anchor, bundle option, and premium / stock-up layer
• Listing message that explains why the offer exists without making the single-item price look fake
• A/B test plan for AOV, conversion rate, contribution margin, attach rate, return rate, and review impact
• Success metrics and decision rules for keeping, changing, or killing the offer
• Final plan written to journal/bundle-offers/{YYYY-MM-DD}-{offer-slug}.md

Best For

• Ecommerce sellers whose products sell but order value stays low
• Marketplace teams designing bundles, kits, add-ons, BOGO, threshold discounts, cross-sells, or upsells
• Operators clearing inventory without training buyers to wait for discounts
• DTC stores testing AOV growth while protecting contribution margin
• Teams that need offer logic before updating listings, ads, or merchandising

Workflow

1. Confirm offer type, SKU list, pricing, margins, inventory, size, weight, recent sales, conversion, return rate, and goal.
2. Identify bundle logic: completion, sequencing, or stock-up.
3. Choose the hero SKU and attach SKU using buyer logic rather than dead-stock pressure alone.
4. Run margin, operations, fulfillment, return, and price-anchor checks.
5. Design the pricing ladder and listing message.
6. Define A/B test setup, success metrics, guardrails, and decision rules.

Important Note

This is a download skill. Buyers run it locally with their own AI tool. It supports offer-design thinking, bundle planning, AOV strategy, merchandising hypotheses, and test design, not financial advice, tax advice, legal advice, marketplace-policy guarantees, inventory liquidation services, advertising management, or pricing approval. Platform rules, promotion eligibility, fee structures, returns, shipping tiers, tax treatment, ad cost, consumer-protection requirements, and discount display rules vary by marketplace and region. High-risk pricing, regulated products, reseller agreements, MAP policies, platform promotions, or claims-heavy bundles may require finance, legal, marketplace, or compliance review.