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5 churn reduction strategies to combat & prevent churn

Here are 5 churn reduction strategies that your marketing team can implement to both combat and prevent churn in the first place.

Predicting churn risk with a CLV model

Learn how to use the Klaviyo customer lifetime value (CLV) prediction model to predict customer churn more accurately than with a standard academic model.

Why an email list is your best brand investment

Want to lay a foundation for sustainable growth? Implement these 5 email list best practices to set your campaigns up for success.

Solution Recipe: Using AI and APIs to create and upload images to your Klaviyo account

Solution Recipes are tutorials to achieve specific objectives in Klaviyo. They can also help you master Klaviyo, learn new third-party technologies, and come up with creative ideas. They are written mainly for developers and technically-advanced users. Note: We do our best to make sure any code and API references are accurate and current when this […]

Email design inspiration for 2024, plus brand examples.

4 Email design trends to keep an eye on for 2024, plus insight from industry experts.

What to expect from iOS 17

Everything ecommerce marketers need to know about Apple’s iOS 17 update, including link tracking protection.

All blog articles
Nov 30, 2023
Reply to reviews faster with AI

While product reviews themselves are critical for building trust and driving sales, so are your responses to them. 89% of consumers read businesses’ responses to reviews. And, replying to reviews quickly is equally important – it can help reduce customer churn by 15%. Plus, businesses that respond to customer reviews are viewed as 1.7x more […]

All blog articles
Nov 30, 2023
Boost the CLV of recent purchasers use case

Providing value to your customers by understanding post-purchase pain points and build deeper customer empathy will allow you to boost your customer lifetime value.

All blog articles
Nov 30, 2023
Capture in-person data that benefits online rev use case

Klaviyo allows you to bridge in-store and digital experiences so that you can avoid data silos by tracking what’s happening all in one data platform.