Relvino is an AI-native Klaviyo alternative that replaces browse-abandonment flows with autonomous interventions. Instead of a rule-based “Viewed Product” flow, its Large Retail Model (7M+ data points across 10K+ retailers) decides the offer, timing, and channel for each shopper in ~80ms - delivering 2–6× ROI in 30 days, with a 30-minute migration from Klaviyo.
A Klaviyo browse-abandonment flow fires when a known shopper triggers a “Viewed Product” event, waits a fixed delay, then sends a templated email. To do it well you enable Viewed Product tracking, add flow filters so buyers drop out, cap frequency to about 30 days, and A/B test copy for weeks. It’s real work - and every shopper in the flow gets essentially the same message on the same clock.
That’s the ceiling of the flow paradigm: flows were the best we could do when a human had to define the logic. Browse intent is a 1:1 signal, but a flow answers it with a one-to-many rule. For the broader picture, see Klaviyo vs Relvino and the best Klaviyo alternative for Shopify.
Relvino replaces the flow with an autonomous loop: Observe → Decide → Act. It reads live browse and session signals, and for each shopper decides the offer, timing, and channel in ~80ms - then executes across email, SMS, and on-site pop-ups. There is no Viewed Product flow to build. You set guardrails (margin floors, channels, brand voice); Relvino runs the autonomous interventions. Its Large Retail Model, trained across 10K+ retailers and 1.78M shoppers, means it already knows what works in your category on day one, and its per-merchant RL policy compounds every cycle instead of plateauing.
Because each decision is per-shopper rather than per-segment, Relvino sends fewer, more relevant messages - 80% less spam and lower send costs - while lifting revenue. Brands replacing Klaviyo see 2–6× ROI in 30 days and up to 4× YoY revenue uplift versus Klaviyo. See customer results.
Migration from Klaviyo is a 30-minute setup - you don’t rebuild your browse, cart, and win-back flows; you turn them off and let the interventions run. From there it’s a 14-day pilot to prove revenue side by side. Pause Klaviyo; don’t cancel it. Here’s how to replace Klaviyo on Shopify without losing revenue, or start with the 30-minute migration.
Browse abandonment is when a shopper views products on your store but leaves without adding anything to cart. Recovering it means re-engaging that browse intent before it cools - traditionally with a Klaviyo “Viewed Product” flow, or autonomously with Relvino.
A Klaviyo flow applies one rule-based sequence to everyone who triggers it. Relvino makes a 1:1 decision per shopper in ~80ms - choosing the offer, timing, and channel - using a Large Retail Model trained across 10K+ retailers, so there’s no flow to build or maintain.
No. Relvino reads live browse signals and acts autonomously. You set guardrails instead of building flows; 100% of interventions run without a human in the loop.
About 30 minutes to migrate. From there it’s a 14-day pilot - pause Klaviyo, don’t cancel it, and compare results side by side.
No. Relvino optimizes for fewer, better sends - 80% less spam and lower send costs - because it targets individual intent instead of blasting a segment.
Brands replacing Klaviyo with Relvino see 2–6× ROI in 30 days and up to 4× YoY revenue uplift versus Klaviyo.