Use Klaviyo’s Predictive Analytics to Drive Repeat Purchases in 2025

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Use Klaviyos Predictive Analytics to Drive Repeat Purchases
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In 2025, brands that succeed aren’t just reacting to customer behavior; they’re also anticipating it. They’re anticipating it. That’s exactly what Klaviyo’s predictive analytics engine is designed to do. Powered by machine learning, it analyzes your customer data to forecast future actions. This allows you to send the right message before the customer even thinks about making a purchase again.

Imagine knowing when a customer is likely to reorder, how many purchases they’ll make, or whether they’re at risk of churning. With this kind of foresight, your marketing doesn’t just feel personalized; it is. It feels intentional. And it leads to higher retention, stronger loyalty, and increased lifetime revenue.

Let’s explore how Klaviyo’s predictive analytics works and how you can use it to drive more repeat purchases with precision and confidence.

What is Klaviyo Predictive Analytics and How Does it Work?

Klaviyo’s predictive analytics feature uses machine learning to study a customer’s past behavior, purchase history, browsing activity, and engagement data. From this analysis, Klaviyo generates predictive fields you can use for targeting and automation.

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Klaviyo Setup – We configure accounts, connect Shopify/Shopify Plus/Woo, and migrate lists, templates, and data the right way.

Smart Automations – Welcome, browse/cart, post-purchase, and win-back flows with Email + SMS that run themselves.

Clean Data & Reporting – Segments, consent, deliverability, and dashboards so you know what’s driving revenue.

These fields become part of each customer’s profile and update automatically over time. You can use them to trigger flows, build segments, and personalize campaigns based on anticipated actions, rather than just past activity.

In short, this tool gives you visibility into what’s likely to happen next, enabling proactive and profitable marketing.

Available Predictive Fields in Klaviyo

Available Predictive Fields in Klaviyo

Here are the core predictive data points Klaviyo offers, along with how you can apply each one:

Predicted Next Order Date

This predicts when a customer is likely to make their next purchase based on previous buying patterns. It’s perfect for consumable or seasonal products.

Predicted Number of Orders

This forecast indicates the total number of orders a customer is expected to place throughout their lifetime. It helps distinguish casual buyers from potential repeat customers.

Predicted Customer Lifetime Value (CLV)

This estimates the total revenue a customer will generate over their relationship with your brand. It allows you to prioritize high-value segments.

Churn Risk

This field indicates the likelihood of a customer becoming inactive. It is based on their behavior, timing, and engagement.

How to Use Predictive Analytics to Drive Repeat Purchases?

How to Use Predictions to Drive Repeat Purchases

Knowing what customers are likely to do is only half the battle. The real value lies in acting on that insight in a way that boosts both retention and revenue. Here’s how to use these predictions effectively.

Trigger Reorder Reminders Based on Predicted Next Order Date

Instead of guessing when customers might reorder, let Klaviyo tell you. Using the predicted next order date, you can trigger a personalized reminder just before the customer is expected to place their next order.

For instance, if a customer typically buys skincare every 30 days and Klaviyo predicts their next order is due in three days, you can send a targeted email to prompt that purchase. This type of precision reduces discount dependency and increases timely conversions.

Send Loyalty Rewards to Customers with High Predicted CLV

Not every customer will become a VIP, but Klaviyo can identify those who are likely to. By segmenting based on predicted CLV, you can start nurturing high-potential buyers early.

Send loyalty points, personalized thank-you notes, or early access to sales. A little extra attention at the right time can encourage bigger purchases, repeat visits, and long-term brand loyalty.

Create Win-Back Flows for High-Risk Churners

It’s easier to retain a customer than to win a new one. Klaviyo’s churn risk field helps you identify when someone is at risk of leaving. This gives you time to re-engage them with a targeted win-back campaign before they disappear.

For instance, if a loyal customer fails to open emails or make a purchase within the expected timeframe, Klaviyo will flag them as high risk. You can trigger a message like “We miss you” with a personal touch, product recommendation, or limited-time offer to bring them back.

Segment Top Spenders for Exclusive Perks and VIP Offers

Customers with a high predicted order count or CLV are your most valuable. These are your future VIPs. By creating a segment specifically for them, you can enroll them in premium flows and campaigns.

Think priority shipping, limited-edition releases, and early access to sales. These small perks can have a big impact, turning casual buyers into lifelong fans.

The Proactive Advantage: Why Prediction Beats Reaction

Reactive vs Predictive Marketing

Most email campaigns are reactive. When a customer makes a purchase, you send a thank-you. They abandon a cart, so you follow up. But often, by the time you act, intent has dropped.

With predictive analytics, you act before behavior changes. That means your messages land while the customer is still engaged and ready to act. This leads to higher open rates, better timing, and a stronger connection.

Marketing is no longer about just the right person and the right message. In 2025, it’s also about the right moment. Prediction is how you find that moment consistently.

How to Access and Use Predictive Analytics in Klaviyo?

Klaviyo automatically generates predictive fields for customers with sufficient data, typically after they have made at least two purchases. These fields appear in the customer profile and are available for targeting in flows and segments.

You can use them in flow triggers such as “Predicted next order date is within 3 days,” in conditional splits like “Churn risk is high,” or in segment filters like “Predicted CLV is greater than $300.”

There’s no special setup required. You simply use the predictive fields as you would any other data point. Klaviyo handles the machine learning. Your role is to build smart automations around the insights it provides.

Turn Insight into Income with Klaviyo’s Predictive Tools

Smart retention starts with smarter insight. Klaviyo’s predictive analytics allows your brand to move from reactive marketing to proactive personalization. That’s where the real gains are made.

When you can predict when someone will reorder, spot churn before it happens, and reward future VIPs early, your campaigns become more meaningful and more profitable. No data team or deep analytics knowledge is required. You just need to plug Klaviyo’s predictions into the right flows.

In 2025, winning brands will go beyond just following trends. They’ll anticipate them. With Klaviyo, you’ll have the tools to market like you already know what your customers want because, in many ways, you actually will.

Frequently Asked Questions (FAQs)

How does Klaviyo calculate predictions, such as the next order date?

Klaviyo analyzes historical data, including order frequency, item types, and engagement behavior. It uses this information to forecast when a customer is likely to make a purchase again.

Do I need to activate predictive analytics in Klaviyo?

No activation is needed. Klaviyo automatically populates predictive fields once a profile meets the minimum data threshold, typically after two completed purchases have been made.

What if I don’t have a lot of historical data yet?

Predictions become more accurate as your store collects more data. In the early stages, focus on building quality segments and flows while Klaviyo gathers the necessary inputs.

Can I combine predictive fields with SMS flows?

Yes. You can trigger SMS messages using the same predictive conditions, just as you would with email. This enables you to deliver coordinated, multi-channel experiences.

How accurate are Klaviyo’s predictions?

While no model is perfect, Klaviyo’s predictions are highly reliable when built on sufficient data. They improve as your store grows and more customer actions are recorded.
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