Predictive attributes work by using customer data to learn and then predict characteristics and behaviors. Learn more about Klaviyo’s new predictive demographic attribute and how to use predictive gender to send more relevant emails.
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This powerful CLV feature within Klaviyo trains, and keeps up to date, a mathematical CLV model for your company. The model presents historic CLV, predicted future CLV, total CLV, probability of churn, and the average time between purchases for each of your customers. Knowing, understanding, and monitoring these metrics inform the strategy for how to improve your customer lifetime value and maximize your revenue.
Find out how to use Klaviyo to predict the date of a customer’s next order — and see how you can use it to improve the timing of your marketing outreach. Learn how the predictions work and get inspired by examples of customers with different order behaviors.
Klaviyo recently hosted its first-ever international workshop in the UK. Nearly 100 merchants and agency partners came to London for an intimate VIP experience chock-full of actionable marketing strategies and invaluable product training. Here’s a look at what ecommerce pros discussed at the event.
…If you’re following the industry news, you might be hearing about companies that are using predictive analytics to segment their campaigns. How do you go from here to there? Think…
Using our state of the art CLTV prediction model, you can create segments based on customers estimated lifetime value – bringing the power of the algorithm into action.
Now, you can export CLV information into a spreadsheet and predict or calculate things like future spending of a segment and average customer value.
It’s a new year, which means we have a whole new set of Klaviyo workshops across the United States. Most recently, we hosted a Klaviyo workshop in Los Angeles exclusively for our agency partners.