Shopify Admin lets you filter customers by tags, location, or total spend, but a filter isn't a segmentation strategy — it's a query. Real segmentation groups customers by behavior patterns you can act on. Here are five methods worth knowing.
1. RFM Segmentation (Recency, Frequency, Monetary)
The most widely used method for a reason: it scores every customer on how recently they bought, how often, and how much, then buckets them into segments like Champions, Loyal, At Risk, and Lost. It's behavioral, not demographic, which means it updates automatically as customer behavior changes. See our full RFM segmentation guide for the scoring logic.
2. Lifecycle Stage Segmentation
Groups customers by where they are in the relationship: first-time buyer, repeat buyer, lapsing, or churned. This is simpler than RFM but useful for triggering lifecycle-specific automations — a welcome flow for new customers looks nothing like a win-back flow for lapsing ones.
3. Value-Based Segmentation
Splits customers by total or projected lifetime value rather than behavior alone. This is where LTV calculation comes in — knowing which 20% of customers generate 80% of revenue changes how you prioritize support and loyalty spend.
4. Product Affinity Segmentation
Groups customers by what they actually buy — useful for cross-sell campaigns. A customer who only buys one product category is a different marketing target than one who buys across your whole catalog.
5. Acquisition Channel Segmentation
Groups customers by how they first found you. Customers acquired through influencer campaigns often behave differently — in AOV and retention — than customers acquired through search or referral, and treating them identically in follow-up marketing leaves performance on the table.
"We assumed all our customers were the same until we saw the RFM breakdown. Turns out 12% of our list was driving most of our repeat revenue, and we were emailing everyone the exact same way."
— Founder, DTC Home Goods Brand
Which Method Should You Start With?
If you can only implement one, start with RFM — it requires no manual tagging, updates automatically as orders come in, and covers most of the "who should I market to right now" decisions on its own. SnapDash calculates it automatically from your synced order history the moment your store connects. Layer the other methods in as specific campaigns need them.
