Klaviyo Browse Abandonment Flow
Klaviyo Browse Abandonment Flow
Re-Engage Interested Shoppers and Turn Browsing into Sales
Fix Stream’s Klaviyo Browse Abandonment Flow is designed to reconnect with visitors who viewed products on your store but left without adding anything to their cart. These shoppers have already shown interest—this flow gently reminds them, rebuilds intent, and guides them back to complete a purchase.
By targeting early-stage interest, this flow captures revenue that would otherwise be lost.
🔹 What Fix Stream’s Klaviyo Browse Abandonment Flow Includes
✔️ Browse Activity Trigger Setup
Automatically identifies visitors who viewed products but didn’t add them to cart or checkout.
✔️ Personalized Email & SMS Messaging
Dynamically displays recently viewed products, images, prices, and direct product links.
✔️ Smart Timing & Frequency Control
Messages are sent at optimal times to re-engage without overwhelming the customer.
✔️ Brand-Aligned Design & Copy
Emails and messages are styled to match your brand voice and visual identity.
✔️ Behavior-Based Segmentation
Different flows for first-time visitors, returning users, or high-intent browsers.
✔️ Product Recommendation Logic
Suggest related or complementary products to increase relevance and interest.
✔️ Optional Incentive Strategy
Carefully placed discounts or offers to encourage first-time conversion.
✔️ Multi-Channel Delivery
Use email, SMS, or both to maximize reach and engagement.
✔️ A/B Testing & Optimization
Test subject lines, content, and CTAs to improve engagement and conversion rates.
✔️ Performance Tracking & Reporting
Monitor opens, clicks, conversions, and revenue influenced by browsing activity.
🔥 Why Choose Fix Stream’s Klaviyo Browse Abandonment Flow
✅ Capture Early-Stage Intent – Re-engage shoppers before they lose interest
✅ Increase Product Page Conversions – Bring visitors back with relevant reminders
✅ Personalized & Non-Intrusive – Helpful reminders, not aggressive selling
✅ Automated Revenue Growth – Works continuously without manual effort
✅ Scalable for Any Store Size – Effective for both small and large catalogs