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Top 32 Personalization Engines SaaS Companies in May 2026

As of May 2026, there are 32 SaaS companies in Personalization Engines. They have combined revenues of $707.7M and employ 3.2K people. They have raised $95.8M and serve 1.6M customers combined.

Personalization engines are software tools designed to deliver customized content and experiences to users based on their individual behavior, preferences, and historical data. These engines utilize algorithms and data analytics to tailor interactions in real-time, enhancing the overall user experience. Common use cases include personalized marketing campaigns, tailored product recommendations, and customized user journeys across digital platforms. Typically, personalization engines feature capabilities such as user data collection, behavioral analysis, and integration with various marketing and customer service tools. They are primarily utilized by marketing teams, product managers, and customer experience professionals who aim to boost user engagement and conversion rates by providing targeted content and recommendations. By leveraging user data, these engines enable organizations to create more relevant and meaningful interactions with their customers.

Companies
32
Revenue
$707.7M
Funding
$95.8M
Employees
3.2K

Filters

Sorting: Highest -> Lowest

Filters

Top Personalization Engines Companies

Showing 10 of 3 companies ranked by annual revenue.

1
Hello Retail

Copenhagen, Capital Region, Denmark

Advanced Personalization for ecommerce. With flexible, scalable, and AI-driven solutions, the company empowers businesses to deliver what customers want, when they want it, and sometimes, before they even know they want it. The platform offers the following optimization and personalization tools for ecommerce websites: Personalized Product Recommendations Smart Search Engine Personalized Brand and Category Pages Personalized Newsletter Content Triggered Emails A 360-degree overview of your Audience Powerful Analytics In 2023, Hello Retail introduced its groundbreaking proprietary technology, Product Intelligence (Pi), fueled by AI. Pi utilizes product-centric data to forecast shopping behaviors, providing merchants with a cookieless personalization solution. Serving as the cornerstone of the platform, Pi enhances personalization algorithms with Artificial Intelligence.  Based in Copenhagen, Hello Retail serves over 2500 webshops worldwide across various sectors, such as fashion, consumer electronics, toys, furniture, personal care, cosmetics, and more.

Revenue
$6.8M
Customers
-
Year founded
2009
Funding
-
Team size
62
Growth
-
2
Auxia

Palo Alto, California, United States

Auxia is an Agentic Marketing Platform that combines advanced infrastructure with AI agents to seamlessly orchestrate hyper-personalized customer journeys. The platform empowers enterprises to unlock hidden signals from first-party data, fueling a flexible suite of intelligent growth models that automate months of data science and engineering work. With Auxia, marketers can deploy AI agents to deliver dynamic, personalized content across their most critical customer surfaces (e.g. web, app, email, SMS), uncover nuanced insights, and autonomously optimize each customer’s journey in real time.

Revenue
$5.7M
Customers
-
Year founded
2022
Funding
-
Team size
52
Growth
-
3
Frosmo

Helsinki, Finland

Developer of a personalization software designed to help companies grow online by delivering superior user experience. The company's platform offers software services such as fast time-to-market, data-driven UX development, execution of creative ideas, IT-independent front-end development, other security and EU compliance services, enabling online business owners to achieve unprecedented freedom, speed and cost-efficiency that brings competitive advantage and increased ROI.

Revenue
$5.6M
Customers
-
Year founded
2008
Funding
-
Team size
28
Growth
41.26%

Inclusion Criteria

- Must offer real-time data analysis to personalize user interactions - Should integrate with existing marketing and CRM platforms - Must provide capabilities for A/B testing and performance tracking - Should include features for user segmentation based on behavior and demographics - Not just for content delivery; must also facilitate personalized recommendations and user journey mapping