SegmentOS ‑ Customer Segments
- Pricing
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Free plan available. Free trial available.
- Rating
- 0.0 (0 Reviews)
- Developer
- Vellir
Featured images gallery
Customer segmentation that reveals VIPs, churn risks, and revenue opportunities automatically.
SegmentOS analyzes your store’s order history to automatically identify customer segments such as VIP, At Risk, Churned, Repeat Buyer and Deal Seeker. These segments help merchants understand customer behavior, identify valuable customers, and detect retention risks. Segments update automatically as new orders are placed and can be synced to Shopify customer tags for use in marketing campaigns, automation tools, and customer targeting.
- Identify VIP, repeat buyers, churned and at-risk customers automatically
- See which customers drive revenue and which are at risk of leaving
- Spot declining customers early and take action to win them back
- Segments update automatically as customers place new orders
- Use segments in email marketing, ads, and customer targeting
Languages
English
Works with
- Google Ads
- Klaviyo
- Mailchimp
- Meta Ads
- Omnisend
Categories
Customer behavior
Marketing and sales
Visuals and reports
Pricing
Free
Free
Features
- Up to 1,000 customers
Starter
$5.90 / month
Features
- Up to 5,000 customers
- AI-powered segmentation included
- 1,000 AI segment analyses per month
7-day free trial
Advanced
$9.90 / month
Features
- Up to 15,000 customers
- AI-powered segmentation included
- 5,000 AI segment analyses per month
7-day free trial
Pro
$19.90 / month
Features
- 50,000 customers
- AI-powered segmentation included
- 10,000 AI segment analyses per month
7-day free trial
All charges are billed in USD. Recurring and usage-based charges are billed every 30 days.
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0% of ratings are 1 stars
Support
App support provided by Vellir.
Data access
This app needs access to the following data to work on your store. Learn why in the developer's privacy policy .
View customer data:
Sensitive data, device and activity data
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Sensitive data
Name, email address
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Device and activity data
Geolocation, IP address, browser and operating system
View staff and contributor data:
Store owner
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Store owner
Name, email address, phone number, physical address
View and edit store data:
Customers, products, orders
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Edit customers
Customer data
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View products
Products, collections
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View orders
All order history for the last 60 days
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