EnglishPurchase Follow-up Emails With Complementary Product Recommendations
This use case consists of a set of personalized communications to your customers a few weeks after their original purchase. These will include recommended complementary products based on criteria such as “customers who bought this item also bought” and "popular right now.”
metric-conversion-rate,
metric-revenue,
metric-cltv,
metric-purchase-frequency
use-case-tag-content-personalization,
use-case-tag-ai-productrecommendations,
use-case-tag-customer-retention
It's more cost-efficient to retain your existing customers versus aquiring new ones. Reach out to your customers with personalized, relevant, and engaging post-purchase content. Reap the benefits of using a bottom-funnel marketing tactic to incentivize repeat purchase rates.
“A product recommendation algorithm can help shoppers find products they're interested in, and by showing relevant products to shoppers, it can improve the chances that they'll make a purchase.”
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