Upsell targeting is the process of showing specific upsell offers to targeted customer segments or based on certain behaviors, rather than displaying the same offer to everyone. This tailored approach can make upsells more relevant, increasing the likelihood of conversions. Here’s a breakdown of how upsell targeting works and the strategies that are commonly used:
1. Behavior-Based Targeting
Product-Specific Targeting: Trigger upsells based on the products a customer adds to their cart or views. For example, if a customer adds a smartphone to their cart, you could target them with upsells like phone cases, screen protectors, or chargers.
Cart Value Targeting: Set upsells to appear when a customer’s cart value reaches a specific amount. For instance, if a customer’s cart value is above $100, you might offer a premium item at a discount or suggest items that would bring them closer to free shipping.
Purchase History: For returning customers, show upsells related to previous purchases, which can make the offer feel more relevant. For example, if a customer previously bought a coffee maker, you could upsell them coffee beans or a cleaning kit.
2. Customer-Segment Targeting
New vs. Returning Customers: Show different upsells to new customers and returning ones. For new customers, introductory offers or bundles might be effective, while loyal customers might appreciate discounts on items related to previous purchases.
Location-Based Targeting: Some apps allow targeting based on the customer’s geographic location. This can be useful for upselling items that are relevant to certain climates, cultural preferences, or local trends.
3. Time-Based Targeting
Seasonal Upsells: Show upsell offers based on seasonal events (like holidays) or specific times of year. For example, upsell winter wear during colder months or offer holiday-themed products as upsells in November and December.
Urgency and Limited-Time Offers: Add a countdown or display “limited-time” messages to encourage customers to take advantage of an upsell before it expires. This can create urgency and motivate customers to add the item to their purchase.
4. Personalized Recommendations
AI-Driven Upsells: Many upsell apps, including some advanced versions of Candy Rack, use machine learning to recommend products based on customer browsing history, past purchases, or similar customers’ behaviors. This approach personalizes the experience, making the upsell feel more like a tailored suggestion.
5. Discount-Based Targeting
Discount Thresholds: Use discounts to incentivize certain types of upsells. For example, you might offer a 15% discount on an item if it’s purchased as part of an upsell, making it more appealing than if the customer were to add it on their own.
Implementing Upsell Targeting with Upsell AOV Conversion Bundles
Upsell AOV Conversion Bundles and similar Shopify upsell apps often provide these targeting options in their setup. You can customize rules for when and where upsells appear, based on factors like the product in the cart, customer segments, or purchase amount.
By using upsell targeting, you can make the shopping experience feel personalized, increase conversion rates, and boost overall sales.
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