Description of Kibo Personalization: Kibo Personalization is a omnichannel personalisation software powered by machine learning to deliver individualized customer experiences and powered by Monetate and Certona.
Kibo Personalization is used by 0.94% of websites in the Personalisation category.
Style & Fashion is the most popular main category among the websites using Kibo Personalization.
Men's Fashion is the most popular subcategory among the websites that are using Kibo Personalization.
The technologies that are most often used together with Kibo Personalization are core-js, Microsoft Advertising, Facebook Pixel, HSTS, Facebook, Google Tag Manager, Cart Functionality, Open Graph, jQuery, webpack.
Our AI based recommender engine (trained on 100 million data points) suggests that websites using Kibo Personalization may also be interested in using these other technologies: OneTrust, Salesforce Service Cloud, Facebook Login, Salesforce, Invoca, Bazaarvoice Reviews, Google Publisher Tag, Skai, theTradeDesk, iGoDigital.
Technology | % of use together with Kibo Personalization | Website |
---|---|---|
core-js | 65.31 | https://github.com/zloirock/core-js |
Microsoft Advertising | 51.02 | https://ads.microsoft.com |
Facebook Pixel | 48.98 | http://facebook.com |
HSTS | 44.9 | https://www.rfc-editor.org/rfc/rfc6797#section-6.1 |
42.86 | http://facebook.com | |
Google Tag Manager | 38.78 | http://www.google.com/tagmanager |
Cart Functionality | 38.78 | https://www.wappalyzer.com/technologies/ecommerce/cart-functionality |
Open Graph | 38.78 | https://ogp.me |
jQuery | 32.65 | https://jquery.com |
webpack | 30.61 | https://webpack.js.org/ |
Technology | AI Recommendation Score | Website |
---|---|---|
OneTrust | 0.17 | http://www.onetrust.com |
Salesforce Service Cloud | 0.17 | https://www.salesforce.com/au/products/service-cloud/ |
Facebook Login | 0.17 | https://developers.facebook.com/docs/facebook-login/ |
Salesforce | 0.17 | https://www.salesforce.com |
Invoca | 0.17 | https://www.invoca.com |
Bazaarvoice Reviews | 0.17 | https://www.bazaarvoice.com/products/ratings-and-reviews/ |
Google Publisher Tag | 0.16 | https://developers.google.com/publisher-tag/guides/get-started |
Skai | 0.16 | https://skai.io |
theTradeDesk | 0.15 | https://www.thetradedesk.com |
iGoDigital | 0.15 | http://www.igodigital.com |
Introduction to Kibo Personalization
Kibo Personalization is a technology that enables businesses to provide personalized experiences to their customers based on their behavior, preferences, and interests. It uses machine learning algorithms to analyze customer data in real-time and deliver personalized product recommendations, content, and promotions across all channels, including web, mobile, and email. This technology aims to improve customer engagement, loyalty, and ultimately drive revenue growth for businesses.
Practical Applications
of Kibo Personalization
-Kibo Personalization can be used to create personalized product recommendations for online shoppers based on their browsing and purchase history.
-It can help e-commerce businesses provide personalized email marketing campaigns to their customers, increasing engagement and sales.
-Kibo Personalization can be used to segment website visitors based on their behavior and preferences, allowing businesses to customize their website experience for each visitor.
-It can also be used to optimize pricing strategies by analyzing customer data and offering personalized discounts and promotions.
-Kibo Personalization can be integrated with chatbots to provide personalized customer service experiences.
Benefits and Advantages of Kibo Personalization
- Kibo Personalization allows for tailored and personalized customer experiences.
- It can increase customer engagement and loyalty by offering relevant and personalized content.
- The technology can improve conversion rates by providing personalized product recommendations and promotions.
- Kibo Personalization can help businesses save time and resources by automating the process of personalization.
- It can also provide valuable insights into customer behavior and preferences, which can inform future marketing and business strategies.
- The technology can enhance the overall customer experience and satisfaction.
Website | IAB category 1 | IAB category 2 | OpenRank |
---|---|---|---|
wwe.com | Sports | Wrestling | 5.54 |
hsn.com | Style & Fashion | Women's Fashion | 5.26 |
hugoboss.com | Style & Fashion | Men's Fashion | 5.17 |
thenorthface.com | Style & Fashion | Men's Fashion | 5.09 |
yeti.com | Sports | Cycling | 4.8 |
olay.com | Style & Fashion | Beauty | 4.6 |
traeger.com | Food & Drink | Barbecues and Grilling | 4.43 |
supportplus.com | Business and Finance | Diseases and Conditions | 4.2 |
eccodomani.com | Style & Fashion | Auto Body Styles | 4.19 |
ebarnett.com | Home & Garden | Home Appliances | 4.17 |
Website | IAB category 1 | IAB category 2 | OpenRank |
---|---|---|---|
260012.com | Travel | Travel Type | 0 |
jrt996.com | Home & Garden | Gardening | 0 |
cartridges.net | Technology & Computing | Consumer Electronics | 1.54 |
pmall.com | Events and Attractions | Personal Celebrations & Life Events | 1.95 |
inkjetselect.com | Technology & Computing | Consumer Electronics | 2.01 |
The average age of websites using Kibo Personalization is 19.9 years.
The average page rank (measure of backlink strength) of websites using Kibo Personalization is 3.23.
Technology | % of use together with Kibo Personalization | Website |
---|---|---|
MyWebsite | 2.0408 | https://www.ionos.com |
Duda | 2.0408 | https://www.duda.co/website-builder |
HCL Commerce | 2.0408 | https://www.hcltechsw.com/commerce |
Genesys Cloud | 2.0408 | https://www.genesys.com |
Java Servlet | 2.0408 | http://www.oracle.com/technetwork/java/index-jsp-135475.html |