Upsell Overview

• Introduction to Upsells (Surfaces, Timing & Eligibility)

  Increase average order value by showing relevant upsell offers after checkout, when customers are already engaged and ready to make changes to their order. ⭐ Why This Matters Post-purchase upsells are one of the highest-converting revenue opportunities in ecommerce because: The customer has already completed payment Trust is already established No checkout friction existsFew readers

• Creating Upsell Offers (End-to-End Setup)

  Purpose Answer: “How do I build a working upsell from start to finish?” ⭐ Why This Matters Most upsells fail not because of the product, but because of poor setup: Too many products shown at once Timers conflicting with the edit window Weak or confusing CTAs Offers active but invisible due to missing blocks This guide walks you through one complete upsell journey, built correctly the first time. ⚙️ How Upsell Offers Work in Account Editor One upFew readers

Upsell Market Targeting

• Targeting Rules, Pricing & Market Conditions

  Purpose Answer: “Who sees the upsell, at what price, and under what conditions?” ⭐ Why This Matters Poor targeting is the fastest way to destroy upsell ROI. Without proper rules: Discounts leak to low-value orders VIP customers see irrelevant offers Global stores show wrong prices or currencies This article explains how Account Editor decides who sees an upsell and why — before it ever appears to a customer.Few readers

• Upsell FAQ & Troubleshooting

  Purpose Primary support-deflection article 🔝 Top Issues Upsell not showing Check: Offer status = Active Upsell Block added Conditions met Market enabled Discount not applying Check: Discount slider 0% No overlapping Shopify discounts Market currency rules Timer missing Check: Timer enabled Duration < edit window Not expired A/B test not starting Check: Two active offers on same surfaceFew readers

• A/B Testing & Upsell Analytics

  Purpose Answer: “How do I measure and improve upsell performance?” ⭐ Why This Matters Without measurement: You guess instead of optimize Discounts erode margin silently High-performing surfaces go unnoticed ⚙️ How A/B Testing Works Each test splits traffic into: Control (A) → original offer Variant (B) → modified versionFew readers