MonetateFormerly Kibo Personalization, powered by Monetate & Certona
Overview
What is Monetate?
Monetate (formerly Kibo Personalization, powered by Monetate and Certona) is an ecommerce personalization software for consumer-facing brands. Monetate enables brands to create individualized experiences for site visitors, with the goal of improving engagement and business performance. Founded in 2008, Monetate…
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Reviewer Pros & Cons
Pricing
Entry-level set up fee?
- Setup fee optional
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Product Details
- About
- Integrations
- Competitors
- Tech Details
- Downloadables
- FAQs
What is Monetate?
Monetate (formerly Kibo Personalization, powered by Monetate and Certona) is an ecommerce personalization software for consumer-facing brands. Monetate enables brands to create individualized experiences for site visitors, with the goal of improving engagement and business performance. Founded in 2008, Monetate services Adidas, Lufthansa, Office Depot, Reebok, Wolseley, and other companies.
Monetate is open, and designed to work across the user's marketing stack. It is real-time too, with machine learning capabilities to help deliver 1-to-1 personalization, through to testing & experimentation, and product recommendations at scale.
In October 2019 Monetate and Certona personalization technologies were acquired by Kibo Software. Kibo Personalization included capabilites from these solutions. Monetate was spun off from Kibo in October of 2022.
Monetate Features
- Supported: Testing
- Supported: Segmentation
- Supported: Machine Learning
- Supported: Data Integration
- Supported: APIs
Monetate Integrations
Monetate Competitors
Monetate Technical Details
Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | Unspecified |
Mobile Application | No |
Supported Languages | English |
Monetate Downloadables
- Monetate’s machine learning and automated personalization together with Certona’s mastery of product recommendations are described in this playbook.It also includes definitions of the different tactics available, alongside suggested key best practices when implementing optimization and personalization strategies.
- According to Gartner, by 2024, 75% of the global population will be covered by data privacy regulations. And Google’s ban on third-party cookies will affect over 3.2 billion people. Whereas with third-party data, retailers and online business could get access to information on pretty much all of their customers, now they have to rely on the customers volunteering the information they need to make personalization effective. This could drastically cut the percentage of customers that online businesses have useful data for. How marketers look for and collect these insights will have to change, but it is still possible to gather the geographic, gender, age, and preference information you need to make personalization effective.