FT: Frequently Bought Together

FT: Frequently Bought Together

Recenzje (472)

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4,7
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  • 81% ocen to oceny z 5 gwiazdkami
  • 11% ocen to oceny z 4 gwiazdkami
  • 4% ocen to oceny z 3 gwiazdkami
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  • 3% ocen to oceny z 1 gwiazdkami
30 marzec 2024

top bundles sehr benutzerorientiert

PureHydro
Niemcy
Około 2 godziny korzystania z aplikacji
13 listopad 2023

Seamless integration, robust functionality, and excellent documentation. It made our development process a breeze. Kudos to the team

Mini Pet Paws
Stany Zjednoczone
7 dni korzystania z aplikacji
15 styczeń 2024

OTTIMA!!!

SHIRTLOL
Włochy
Około 5 godzin korzystania z aplikacji
7 luty 2024

Top it's great

InProcess
Francja
7 minut korzystania z aplikacji
8 listopad 2023

As a dedicated pet care provider, we at Pets Paradise have always sought innovative ways to enhance our customers' shopping experience. With the integration of FT: Frequently Bought Together, powered by Fether's AI personalization platform, we've seen our aspirations become reality.

FT's Personalization Engine seamlessly embeds into our storefront, offering relevant recommendations that resonate with our clientele. The simplicity with which customers can now discover and add related products to their cart is outstanding. This feature not only enriches their shopping journey but has also markedly boosted our Average Order Value (AOV) and revenue.

The AI-driven algorithm is a marvel, intuitively learning from a vast database of products, orders, and our store's unique data—both historical and real-time. The impact of this learning is reflected in the tailored experiences our customers encounter, with suggestions that feel handpicked just for them and their pets.

What's more, we've noticed a significant uptick in conversions since utilizing the app. It's clear that Fether's technology isn't just about algorithmic prowess; it's about creating meaningful connections between products and people (and their pets!).

For any Shopify store looking to personalize their customer experience and drive sales, we cannot recommend FT: Frequently Bought Together enough. It's a testament to how AI and machine learning can work wonders in the e-commerce space.

Pets Paradise
Stany Zjednoczone
5 dni korzystania z aplikacji
29 marzec 2024

kullanabilirsem iyi gibi görünğyor

OnkelSuga Shop
Niemcy
Około godziny korzystania z aplikacji
24 sierpień 2023

A truly simple and intuitive app that I wholeheartedly recommend. It's worth every user's attentionnn

LILY STUDIO
SRA Hongkong (Chiny)
4 dni korzystania z aplikacji
7 marzec 2024

trop bienl'application pour les bundles

INOX GLAM
Francja
Około 2 godziny korzystania z aplikacji
13 październik 2023

Customizing the removal of Variant content has cleared up a lot of space, as many products don't require filling this

Kubebricks
SRA Hongkong (Chiny)
4 dni korzystania z aplikacji
3 luty 2024

TOP

DYIKY
Francja
Około 2 godziny korzystania z aplikacji