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Level up your post-purchase strategies with product analysis
Scaling a business depends on growing customer lifetime value (CLV) as effectively as possible.
And to do that, it’s critical to understand and leverage how customers buy today—how they make follow-up purchases, what they buy together, and when they return.
Without access to the right data or analytics tools, it’s time-consuming and stressful to develop data-driven merchandising strategies and impactful marketing programs. Businesses find themselves using out-of-date analyses or making assumptions about purchase trends and customer behavior instead of accessing real, updated insights.
Without those insights, marketers often find themselves defaulting to blanket post-purchase follow-up times (like 30 days after any purchase) and sticking with promoting bestsellers together (regardless of purchasing trends) instead of tapping into a true, data-informed merchandising strategy.
The solution
With Klaviyo’s new product analysis, businesses have easy access to insights about repeat purchase timing and what products customers tend to buy together or in succession, answering questions like:
After someone buys a product, how long does it typically take for them to make their next purchase?
What items do they tend to buy in the same cart?
What items do they tend to buy in their next purchase?
As a result, it’s simpler than ever to promote the right products at the right time to drive repeat purchases—and ultimately grow CLV. Use buying behavior insights to sharpen merchandising strategies, such as optimizing the timing and recommended up-sells in post-purchase flows, and creating recommended bundles for abandoned cart flows or sales.
Alicia Chang is a product marketing manager at Klaviyo, focused on helping customers get the most out of their CDP and data. She aims to make it easy to understand and activate data, and drive impactful personalization at scale. Alicia is based in Boston, MA.
Discover 8 powerful use cases that harness advanced CDP capabilities to unlock actionable insights, while offering the flexibility to transform and extend your data.