Wunderkind Early Access Membership

Wunderkind Signals powers high-performing, behaviorally triggered messages across email and text—without disrupting existing workflows. By layering in identity and behavioral tech, you can scale personalized, intent-driven campaigns through your ESPs like Klaviyo or SFMC.

Shopify Markets allows merchants to manage multiple regions with localized languages, currencies, and domains from a single Shopify store. Wunderkind’s Multi-Markets feature leverages this by enabling clients to assign and track websites at the market level, ensuring accurate conversions and geo-specific customer experiences.

AI Abandonment personalizes the timing and channel of each message after a shopper abandons a cart, category, or product. By adapting dynamically to real behavior—rather than static rules—it selects the best moment and method to re-engage your customers, boosting conversions with less effort.

AI Catalog uses affinity modeling to predict product interest and expand your reach, all while keeping interactions relevant. By analyzing behavioral signals across and beyond your site, AI Catalog identifies high-intent shoppers who might otherwise be missed—starting with Price Drop and soon expanding to Low in Stock, Back in Stock, and more.

Reclaim missed revenue with Flashback Abandonment. When a shopper returns after abandoning a cart, category, or product-but takes no action-Flashback steps in as a smart backup. Powered by our ID network, it remembers the shopper even without cookies and delivers timely, personalized messages that convert.

AI Post-Purchase Recommendations engage customers after a conversion by suggesting what to buy next. Driven by affinity modeling and purchase behavior, it surfaces frequently bought together products through the best-performing channel.

Product Affinity uses AI to learn from a customer’s behavior—like product views and purchase history—to map individual interests, including items they may not have interacted with. This powers precise segmentation and personalized recommendations across use cases.

Al Post-Purchase
Recommendations engage customers after a conversion by suggesting what to buy next.
Driven by affinity modeling and purchase behavior, it surfaces frequently bought together products through the best-performing channel.

Audiences for Meta brings Wunderkind’s identity and behavioral data to Meta retargeting. Sync real-time segments—like abandoners and high-propensity shoppers—into Ads Manager to unify your email, text, and paid media strategies in one connected system.

Wunderkind’s AI Out of Stock Experiences re-engage users who abandon after viewing out-of-stock items. Using proprietary affinity modeling, we deliver personalized recommendations for similar, in-stock products. This turns lost sessions into revenue recovery opportunities, improving the shopping journey and keeping customers engaged with timely, relevant product suggestions.

Our product roadmap is exciting and packed!  We have new opportunities constantly rolling out so check back often.