Advanced
Use Cases & Automation with KlavX
Once KlavX is connected, you unlock powerful new ways to market to your in-store customers via Klaviyo. Here’s how to turn that data into revenue.
Once KlavX is connected, you unlock powerful new ways to market to your in-store customers via Klaviyo. Here’s how to turn that data into revenue.
🔁 1. Automate Flows Based on In-Store Purchases
Use the Placed Order (POS)
event in Klaviyo to trigger:
Post-Purchase Thank You Flow
Send a thank you email with product care tips, reviews, or a discount for next time.Replenishment Reminders
Automate follow-ups based on how long products typically last (e.g. supplements, beauty, consumables).Review Requests
Ask for product reviews 3–7 days after purchase to collect social proof, even from in-store customers.
🎯 2. Build Targeted Segments
Segment your list based on POS purchases, even if the customer has never bought online:
VIPs who spend $200+ in-store
Customers who bought from a specific brand or category
First-time buyers vs returning
People who bought in-store but haven’t opened an email yet
Example: Create a segment of customers who purchased a snowboard in-store but haven’t visited your website in 30 days.
💡 3. Campaigns That Actually Make Money
With POS data synced, your email list gets more accurate — and valuable. Try campaigns like:
“Thanks for shopping in-store! Here’s 10% off your next online purchase”
“Restock time: You purchased [brand] in-store. Here’s what’s new.”
“We miss you in-store — come back and get a free sample!”
🛍 Industry-Specific Use Cases
🧖♀️ Beauty & Skincare
Replenishment reminders for creams, serums, and cosmetics
Follow-ups for services (e.g. facials, consultations)
👗 Fashion & Retail
Style guides based on in-store purchases
Back-in-stock alerts for specific brands or categories
🍷 Wineries & Breweries
Reward frequent cellar door visitors
Invite local in-store customers to VIP events or club signups
⚙️ Pro Tips for Automation Success
Add a “POS Source” tag to your customer profiles so you can separate in-store vs online behaviour.
Use time delays and conditional splits to customise flows for POS shoppers.
A/B test subject lines that reference the in-store experience (e.g. “Your [store name] visit”).