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Blog/Klaviyo & email/Klaviyo Segmentation for D2C

Klaviyo Segmentation for D2C: The 12 Segments That Drive Revenue

Stop sending the same email to everyone. The 12 Klaviyo segments that unlock personalization at scale.

Sorted Agency
The Sorted team
Mar 29, 20269 min readUpdated Apr 1, 2026
On this pageSegment Types in KlaviyoThe Five Core Segments Every D2C Brand Should HaveSegmenting by Product Purchased
On this page
Segment Types in KlaviyoThe Five Core Segments Every D2C Brand Should HaveSegmenting by Product Purchased
Key takeaways
  • Static lists: manually added or imported subscribers.
  • Engaged subscribers (non-purchasers): opened or clicked at least one email in the last 90 days AND has not placed any orders.
  • For multi-product brands, purchase history-based segmentation unlocks cross-sell and upsell opportunities invisible in undifferentiated list sends.

Klaviyo segmentation is the capability that separates email programmes generating 20 percent of D2C revenue from those generating 40 percent. The brands at the top segment by behaviour, purchase history, predicted value, and engagement state, then send precisely relevant messages to each segment. Here is the practical guide to building and using Klaviyo segments effectively.

Segment Types in Klaviyo

Static lists: manually added or imported subscribers. Good for one-time imports but do not auto-update. A static list of your 2022 customers stays as that list forever regardless of subsequent purchase activity. Use for: imported historical data, specific manual groupings.

Dynamic segments: auto-updating groups defined by conditions. Klaviyo evaluates every profile against the segment conditions in real time. A segment defined as "customers who spent above $200 in the last 90 days" automatically adds new customers who meet that threshold and removes those who no longer qualify. Dynamic segments are the foundation of meaningful segmentation because they reflect current customer state, not historical import state.

The Five Core Segments Every D2C Brand Should Have

Engaged subscribers (non-purchasers): opened or clicked at least one email in the last 90 days AND has not placed any orders. This is your active nurture pipeline. They are interested but have not yet converted. Campaign strategy: first-purchase conversion content, objection handling, social proof heavy.

First-time buyers within 60 days: placed exactly one order in the last 60 days. They are in the critical retention window. Campaign strategy: onboarding, product education, loyalty programme introduction, cross-sell.

Repeat customers (2 to 5 orders): placed between 2 and 5 orders lifetime. These customers have demonstrated loyalty beyond impulse. Campaign strategy: VIP early access for new products, deeper brand story content, subscription upsell.

High-value customers (top 20 percent by lifetime spend): in the top quintile by total revenue generated. Campaign strategy: exclusive access, personalised founder communication, beta product testing invitations.

At-risk customers: last purchase 90 to 180 days ago with no recent purchase. They are cooling but not fully lapsed. Campaign strategy: win-back sequence with escalating offers.

Segmenting by Product Purchased

For multi-product brands, purchase history-based segmentation unlocks cross-sell and upsell opportunities invisible in undifferentiated list sends. Klaviyo's "Ordered Product" metric allows segmenting by specific product names, categories, or collection handles. A segment of customers who purchased Product A but never Product B is your cross-sell audience for Product B. Email conversion rates for cross-sell campaigns to purchase history-based segments average 8 to 15 percent, versus 1 to 3 percent for undifferentiated product recommendation emails.

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Questions, answered

Questions on this,
answered.

What segments should I create first in Klaviyo?

Start with: Active (opened in 90 days), VIP (top 10% by revenue), At-Risk (bought once 90+ days ago), and Unengaged (no open in 180 days).

How often to update Klaviyo segments?

Klaviyo updates segments dynamically in real-time. RFM segments should be manually reviewed and adjusted quarterly.

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