How to Use Email Segmentation
to Drive More Revenue
Segmented emails generate 760% more revenue than non-segmented blasts. Here is every segment worth building — from day one to advanced.
Email segmentation is the practice of dividing your subscriber list into targeted groups so each person receives relevant messages rather than generic blasts. Segmented promotional emails generate 760% more revenue than non-segmented campaigns. The highest-impact segments for Shopify merchants are: Has purchased vs has not purchased, VIP customers (top 20% by spend), Engaged vs unengaged subscribers, and RFM segments (Recency, Frequency, Monetary value). Start with these four before building more complex behavioural or predictive segments.
Why Segmentation Drives More Revenue
Most stores lose email revenue not because they send too few emails, but because they send the wrong emails to the wrong people. Sending a “10% off your first order” email to someone who has already ordered six times is not just irrelevant — it trains that subscriber to expect discounts and undermines the relationship.
Segmentation solves this. By dividing your list into groups with shared characteristics, you send each person messages that are relevant to their relationship with your store — which means higher open rates, higher click rates, higher conversion rates, and lower unsubscribe rates. Every one of those improvements compounds over time.
The data is unambiguous: segmented campaigns generate 760% more revenue than non-segmented blasts. Even basic segmentation — separating people who have purchased from those who haven’t — immediately improves every metric. You do not need sophisticated AI to start seeing results. You need to stop treating your entire list as one person.
The segmentation rule most stores ignore
Your VIP customer who has bought eight times should never receive the same email as someone who signed up yesterday. Segment from day one, even if it is just “has purchased” vs “has not purchased.” That single split will immediately improve relevance, reduce unsubscribes, and protect your sender reputation.
Day-One Segments — Build These First
These are the simplest, highest-impact segments every Shopify store should build on day one. They require no complex logic — just basic filters available in every email platform.
Unengaged: No open or click in 90+ days
Lifecycle Segments — Every Stage of the Customer Journey
RFM Segments — The Most Powerful Retention Framework
RFM stands for Recency (how recently did they buy?), Frequency (how often do they buy?), and Monetary value (how much have they spent?). Combining these three dimensions creates a customer scoring model that tells you exactly how valuable each customer is and how at-risk they are of churning.
| RFM Segment | Definition | Best Email Strategy | Priority |
|---|---|---|---|
| Champions | Bought recently, buy often, high spend | VIP early access, loyalty rewards, referral asks | Highest value — protect |
| Loyal customers | Buy regularly, moderate-high spend | Loyalty upgrade offers, cross-sells, exclusive offers | High value — nurture |
| Potential loyalists | Recent purchase, bought 2+ times | Subscription offers, loyalty programme invitation | High — convert to loyal |
| New customers | First purchase very recent | Welcome/onboarding sequence, product education | High — first 30 days critical |
| At-risk customers | Previously loyal, now showing churn signals | Re-engagement offer, “We noticed you haven’t visited” | Medium — recover now |
| Can’t lose them | High historical value, haven’t bought in a while | Premium win-back — strongest offer you can make | High priority — big accounts |
| Hibernating | Low RFM, last purchase was long ago | Last-chance win-back, then suppress | Low — cost-efficient approach only |
How to build RFM segments in Klaviyo
Klaviyo includes a built-in “Predictive Analytics” feature that automatically scores customers on predicted LTV, churn risk, and next order date — effectively automating RFM segmentation. Access it under Analytics → Predictive Analytics. For stores earlier in their Klaviyo journey, manual RFM segments using “Placed Order” filters for recency and frequency, combined with “Total Value of Orders” for monetary scoring, give equivalent results.
Behavioural Segments — Built From Store Activity
Predictive Segments — Available in Klaviyo and Yotpo
Predictive analytics use purchase history and machine learning to forecast future behaviour — enabling you to target customers before they churn, or send replenishment reminders before they run out.
BFCM Segmentation Strategy
BFCM is the period when deliverability is hardest and competition for inbox attention is highest. The brands that win during BFCM are not the ones who send the most — they are the ones who send to the right segments with the right offers.
The BFCM segmentation rule
During BFCM, send to your engaged segment first (opened in last 90 days). Only expand to broader segments if your engaged segment performs strongly. Sending to large unengaged lists during BFCM is the most common cause of deliverability damage that persists into the new year. A smaller list that reaches the inbox beats a large list in the spam folder every time.
BFCM segments in priority order
| Segment | BFCM Strategy | Send Timing |
|---|---|---|
| VIP customers (top 20% by spend) | Early access — 24–48h before public launch | Nov 25 (Wednesday before BF) |
| Engaged non-buyers | First-purchase BFCM offer — strongest discount | Black Friday morning |
| Lapsed customers | Win-back BFCM offer — “Come back for our best sale” | Black Friday — separate campaign |
| Engaged buyers (not VIP) | Standard BFCM sale — no early access needed | Black Friday |
| Cart abandoners (last 30 days) | BFCM-specific cart recovery — add sale discount to cart reminder | Automated — ongoing |
| Unengaged (no open in 90+ days) | Do not email during BFCM — protect deliverability | Skip entirely |
