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Brief
Certona was acquired by Kibo Commerce.

Certona

E-commerce Personalization

Certona delivered real-time, machine learning-powered personalization and product recommendations that increased conversion rates and revenue for e-commerce businesses through individualized shopping experiences.

Last updated Jun 23, 2026 by ATDb automated enrichment

Founded
2003
HQ
San Diego, California, United States
Connections
12

At a glance

Employees
51-200
Funding
acquired
9integrations2competitors1corporate family

About

Leading personalization engine provider for enterprise retailers prior to acquisition

Certona was a leading provider of real-time personalization and product recommendation solutions for retailers and brands. The company specialized in using machine learning and predictive analytics to deliver individualized product recommendations, personalized content, and targeted offers across web, mobile, email, and in-store channels. Certona's platform analyzed customer behavior, preferences, and contextual data to optimize the shopping experience and drive conversion rates for e-commerce businesses. Founded in 2003, Certona established itself as a pioneer in the personalization technology space, serving major retailers and brands globally. The company's solutions were particularly valued for their ability to deliver real-time, one-to-one personalization at scale, helping merchants increase revenue through more relevant product discovery experiences. In 2017, Certona was acquired by Kibo Commerce (formerly Marketlive), a unified commerce platform provider. Following the acquisition, Certona's personalization technology was integrated into Kibo's broader commerce platform, with the Certona brand eventually being absorbed into Kibo's product suite. Kibo itself was later acquired by private equity firm Marlin Equity Partners and continues to offer personalization capabilities that originated from Certona's technology.

Business model

SaaS

Target market

Enterprise

What they offer

  • Certona Personalization Engine

    Real-time recommendation engine using machine learning to deliver personalized product suggestions across channels

  • Behavioral Targeting

    Solutions for targeting customers based on browsing behavior, purchase history, and contextual signals

  • Email Personalization

    Dynamic product recommendations and personalized content for email marketing campaigns

Key features

Real-time product recommendationsMachine learning algorithmsCross-channel personalizationBehavioral analyticsA/B testing capabilitiesPredictive modelingDynamic content optimizationOmnichannel support

Use cases

Product recommendations on e-commerce sitesPersonalized email marketing campaignsShopping cart abandonment recoveryCross-sell and upsell optimizationMobile app personalizationHomepage personalizationCategory page optimization

Customer segments

Enterprise retailersE-commerce brandsMulti-channel merchantsFashion and apparel retailersConsumer electronics retailersSpecialty retail

Tech & specs

Technology stack

Machine learning algorithmsPredictive analyticsReal-time data processingJavaScript tag-based implementationRESTful APIs

Security & compliance

GDPRPCI DSS

Deployment

Cloud

API

Yes

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