Personalization for banners
With Personalization for Banners you take control of the messaging in your banner ads.
Personalization for banners will reduce banner blindness, since users are exposed to products they interacted with previously.
Advertising platforms are like black boxes and your display banners will be generic if you don’t take control of the output.
What you are exposed to in a banner should be decided by algorithms that differentiate between known and unknown users and is tailored to the individual user preferences and behavior.
Catalog Enhancement
With Catalog Enhancement you are in control of which products you are promoting in your shopping feed ads, whether it being on Facebook, Google or a third platform.
With Catalog Enhancement you are adding new product attributes containing business critic logics, to your existing product catalog. When boosting products with parameters such as high-margin, bestseller or revenue–per–visit, you will be able to differentiate yourself from competitors and improve your performance in your product listing ads.
Improves Metrics & Drive Sales
Drive more revenue through ads with personalized product recommendations.
Maximize the value of each bought impression
Reduce banner blindness
Increase ROI & Click-through Rate
And many other metrics!
DO YOU WANT TO KNOW MORE?
BOOK A PERSONALIZED DEMO
A complete suite of personalization solutions tailored to your business
Web Advisor offers advanced recommendation modules to drive sales, improve product selection, maximize cross-selling, increase conversion rates, and significantly enhance the user experience on your website.
Our personalized recommendations offer your visitors recommendations that are specifically targeted to their unique tastes and shopping behavior.
Ad Advisor use website data to deliver an advanced recommendation in banners and product ads. Use our products “Personalization for banners” or “Catalog Enhancement” to optimize sales, improve product selection, and increase conversion rates.
Our personalized recommendations offer users options that are specifically targeted to their unique tastes and shopping histories.
