Your customers are diverse.

A widely recognized collection for machine learning tasks.
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shaownislam
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Joined: Sun Dec 22, 2024 5:32 am

Your customers are diverse.

Post by shaownislam »

Above the fold they showcase a telegram user database portal to their "Mother's Day Gift Shop", with a separate call to action positioned in the top right corner to "Shop for Mother's Day Jewelry".


Above, Amazon displays inline Mother Day recommendations.

As you scroll down, the next recommendation widget highlights a series of top selling categories in the Mother's Day Gift Shop.



Although Amazon doesn't know what this first time visitor is actually coming to their site for, they recognize there is a high chance they will want to purchase a gift for Mother's Day.

4. Utilize Personalization Technology in Your Product Recommendations
Personalization is the most effective tactic on this list.


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Some are price sensitive. Some care about this brand, while others care about that. There will be first time visitors and returning visitors.

Understanding that your customers are individuals is the first step toward effective product recommendations.


Below, we compare one store's experience implementing product recommendation personalization.


Personalization often doubles how effective recommendations are.

Dynamic Product Recommendations: Don't use static product recommendations. Click Here to see how Barilliance personalizes recommendations on your home, category, and product pages.

5. Use demographic data when applicable
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