Monetate
Monetate empowers brands to deliver real-time, individualized digital experiences at scale using AI-driven personalization and rigorous experimentation, driving measurable improvements in conversion and revenue.
Last updated May 11, 2026 by ATDb automated enrichment · Connections updated May 13, 2026
- Industry
- Personalization & Experimentation / MarTech
- Business Model
- SaaS
- Target Market
- Enterprise
- Employee Count
- 201-500
- Funding
- $52M
- Revenue Range
- $20M-$50M
- Stock Symbol
- Not Public
- Parent Company
- Kibo Commerce
- API Available
- Yes
A leading enterprise personalization and A/B testing platform, operating as part of Kibo Commerce, with strong traction in retail and ecommerce verticals
Monetate is an enterprise-grade personalization and A/B testing platform that enables marketers and digital teams to deliver tailored experiences to individual customers across web, mobile, email, and other digital channels. The platform combines real-time data processing, machine learning, and experimentation capabilities to help brands move beyond simple segmentation toward true 1-to-1 personalization at scale. Monetate serves primarily mid-market and enterprise retail, ecommerce, financial services, and travel brands looking to improve conversion rates, customer engagement, and revenue per visitor. Founded in 2008 and headquartered in Malvern, Pennsylvania, Monetate built a strong reputation in the personalization space before being acquired by Kibo Commerce in 2019. Under Kibo's ownership, Monetate continues to operate as a distinct product offering within Kibo's broader unified commerce platform, which also includes order management and point-of-sale capabilities. The acquisition positioned Kibo as a more comprehensive commerce solution provider, with Monetate's personalization engine serving as a key differentiator. In the AdTech and MarTech ecosystem, Monetate competes with platforms like Dynamic Yield (acquired by McDonald's, then Mastercard), Optimizely, and Adobe Target. Its core strengths lie in its robust testing and experimentation framework, AI-driven product recommendations, and its ability to integrate with existing ecommerce stacks. The platform is particularly well-regarded among retail and ecommerce brands for its ease of use, speed of implementation, and measurable impact on key performance metrics.
Personalization Engine
Real-time, AI-powered personalization that delivers individualized content, offers, and experiences to each visitor based on behavioral and contextual data.
A/B and Multivariate Testing
Robust experimentation framework enabling marketers to test and optimize content, layouts, and experiences across digital channels.
Product Recommendations
Machine learning-driven product recommendation engine that surfaces relevant products to shoppers based on browsing and purchase history.
Audience Segmentation
Advanced segmentation tools allowing brands to define and target specific customer cohorts with tailored experiences.
1-to-1 Personalization
Individual-level personalization using machine learning to move beyond segment-based targeting toward true one-to-one experiences.
Monetate Intelligent Personalization
Automated personalization powered by AI that selects the best experience for each individual visitor without manual rule configuration.