Wizy Product Recommendation

Develop by Rakita Apps

$4.99

/ Month

14 Days Free Trial

Customizable banners with Wizy Product Recommendation App

Performance dashboard

Customizable banners

Manual suggestions

Brand-specific styles

About Wizy Product Recommendation

Launched Jun 21, 2023

Built by Rakita Apps

Email :

[email protected]

Address

Icerenkoy Mah. Cayir Cad. Bay Plaza Apt., No:513-14 Atasehir, Istanbul, 34000, TR

Website Support Portal Privacy policy FAQ

Related Categories

Unlock Deals 50% off

Zotabox: Promote & Convert 20+

(483 Reviews)

Unlock Deals 50% off

$12.99-$79.99 / Month

Free Plan Available
Verified
Sponsored

Easy popups, banners, upsell tool, header bar to boost sales...

Description

Make smart choices for your customers with the manual product suggestions you choose!

The Recommendation App provides your customers with customizable banners designed to showcase your chosen products on your website. Banners are fully customizable to grab your customer's attention by choosing colors, fonts and styles that suit your brand. In this way, you can take your brand further by improving your customer experience and increasing your sales. Also, the Recommendation App is very useful. Our widgets are designed to suit your website and will not inconvenience your customers.

Offer your customers a more interesting page with your suggestions.
Create an interface that reflects the identity of your own brand.
Show your customers the products you want in your manual suggestions.
Have an effective dashboard to measure the performance of your suggestions.

Pros

Customizable banners enhance brand identity by allowing adjustments in colors, fonts, and styles
Improves customer experience by displaying chosen product recommendations
Widgets are designed to suit the website interface without causing inconvenience to users
Creates a more engaging and visually appealing webpage with product suggestions
Manual product suggestions give control over which products are showcased
Effective dashboard available to measure the performance of recommendations