What is predictive segmentation?
Predictive segmentation uses AI and historical customer data to forecast future behavior, then groups people by predicted action: likelihood to purchase, expected order value, or churn risk. You sort customers by what they're about to do, rather than what they did last month.
Predictive segmentation tells you that a shopper has a high probability of buying again in the next 14 days, while another might be drifting toward churn. Predicted lifetime value also estimates how much a customer is likely to spend with you over time and forecasts when someone's likely to buy again.
Why predictive segmentation matters
Picture the same win-back email going out to every lapsed customer on your list. Some of those shoppers are two weeks from buying again. Some walked away for good months ago. The email treats them all the same, hoping something sticks. You find out a customer churned only after they've stopped opening.
Acquisition keeps getting more expensive, so every dollar has to land on the shoppers most likely to convert, churn, or spend big. Klaviyo's B2C Marketing Trends Report found that 78% of consumers are more likely to buy again from brands that personalize.
A few additional benefits of predictive segmentation include:
- Spend where it pays off: You focus budget on the shoppers most likely to convert or spend big.
- Act before the window closes: You reach a slipping customer while purchase intent still exists.
- Speak to each shopper differently: You match the offer, timing, and tone to what each customer is likely to do next.
Why choose Klaviyo's predictive segmentation
Klaviyo's predictive analytics and Segments AI run on one real-time customer profile, so the forecasts and the messaging that acts on them live in the same place. Predictive analytics does the forecasting, and Segments AI builds the segments you can send to.
Predictions built on a live customer profile
Predictions are only as good as the data behind them. Every purchase, click, and browse feeds a single live profile, so churn scores and value estimates reflect what's happening now. That's what makes value-based budgeting work: high predicted-value shoppers get VIP treatment, early access, and richer perks, while lower-value shoppers get a lighter touch that keeps them warm without draining margin. Build your customer segments on predicted value and you spend more where it pays off.
Predictions that trigger the next flow
By the time a customer stops opening your emails, they're usually already gone. Klaviyo's churn-risk predictions flip that timing: when a shopper is flagged as slipping, the score can trigger a win-back flow while intent still exists. A high-value, high-risk customer routes into a priority win-back with a stronger incentive, like free shipping plus a personal note. A low-value at-risk customer gets a lighter touch.
Copy tailored to each predicted segment
Prediction should shape tone. A likely-to-lapse customer needs warmth and a reason to come back. A predicted VIP wants recognition and something exclusive rather than a discount that cheapens the relationship. Composer, Klaviyo's AI marketing agent, drafts on-brand copy for each segment, so you tailor the message without writing every variation by hand.
Key features of Klaviyo's predictive segmentation
Feature | Description | Available with Klaviyo |
|---|---|---|
Predicted lifetime value | Estimates how much a customer is likely to spend over time. | Yes |
Churn risk | Flags customers slipping away before they go quiet. | Yes |
Predicted next order date | Forecasts when a customer is likely to buy again. | Yes |
Segments AI | Builds segments from those predictions in plain language. | Yes |
Real-time segmentation | Segments update as behavior changes, on one live profile. | Yes |
How to get started with Klaviyo's predictive segmentation
- Import your contacts. Bring your customer and order history in through Klaviyo's list upload, and map fields like location and purchase history.
- Let the profile fill in. Every purchase, click, and browse feeds each shopper's live profile and the predictions that run on it.
- Build a predictive segment. Use Segments AI to group shoppers by predicted value, churn risk, or next order date, then layer in filters like location for region-specific offers.
- Connect it to a flow or campaign. Route each segment to the right message, like a priority win-back for your high-value churn risks.
- Review and launch. Give it a final check before it ships.
Get started with Klaviyo today.