Repeat purchasers are a critical part of most brands’ overall marketing strategy, often making up 20%-40% of your customers. Not only is it cheaper to retain an existing customer than acquire a new one, they become more likely to return with each purchase, driving consistent revenue growth.
imagine leveraging your customers' personalized buying behaviors to boost sales and loyalty.
With Klaviyo’s new product analysis dashboard, you gain powerful insights into your repeat buyers related to specific repeat purchases, including:
- The typical time between purchases
- Items commonly bought together
- Items most likely to be bought next
What does the product analysis do? Explore the cards below to discover each key feature and read a use case for inspiration on how to apply these features to your own brand.
Repeat purchase timing
What this feature does:
This chart visualizes the time between a product purchase and the next purchase, allowing you to craft flows and campaigns relative to when your customers would make a next purchase.
Customer example:
NANI originally followed up with customers 30 days after their purchase. They discovered that customers who bought disposable masks were more likely to repurchase around the 10-day mark after seeing positive results.
With this new data, NANI switched their follow-up to 10 days and saw a surge in repeat purchases and delighted customers. Shortening the post-purchase flow didn’t just keep NANI top of mind, it boosted sales and ramped up customer loyalty, turning a simple tweak into a huge win!
Products bought in the same cart
What this feature does:
This list reveals products purchased alongside your selected product, helping you pinpoint opportunities for cross-selling, bundling, or offering discounts on related items at checkout.
Customer example:
Makeup trends evolve constantly, and observing buyer behavior is key to staying ahead.
SWAK noticed a shift: more customers were buying brow gel along with mascara instead of eyeshadow palettes. To capitalize on this trend and boost average order value (AOV), SWAK started promoting and bundling these products together. This strategic move not only met changing consumer preferences but also effectively increased AOV, demonstrating how adapting to customer behavior can drive significant business growth and customer satisfaction.
Products bought in the next order
What this feature does:
This card lists products that customers typically purchase after buying a specific product. It helps you craft targeted post-purchase flows, campaigns, or discounts to encourage customers to return and buy products they usually purchase next.
Customer example:
Beantown Coffee's strategic shift, based on buyer insights, led to a highly effective post-purchase approach. They discovered that customers' second purchases were influenced more by roast type than popularity or novelty.
By optimizing their post-purchase flows with targeted discounts and product recommendations based on this new information, Beantown not only encouraged repeat purchases but also enhanced customer satisfaction and loyalty.
How can this dashboard help improve my repeat purchase rate strategy?
In the next lesson, we'll walk through how to build a repeat purchase rate strategy using product analysis. You’ll also complete hands-on exercises to help you apply these insights and grow your strategy.