Helps e-commerce businesses increase conversions and revenue by delivering personalized experiences at critical moments in the customer journey using machine learning and behavioral data.
Last updated Feb 8, 2026
- Industry
- Conversion Rate Optimization & Personalization
- Business Model
- SaaS
- Target Market
- Mid-Market to Enterprise
- Employee Count
- 51-200
- Funding
- $35M
- Parent Company
- Nosto
- API Available
- Yes
Market Position
Established player in e-commerce personalization and customer journey optimization, now part of Nosto's commerce experience platform
Overview
Yieldify is a customer journey optimization and personalization platform that helps e-commerce businesses and digital retailers improve conversion rates and maximize revenue from existing website traffic. Founded in 2012, the company uses machine learning algorithms and real-time behavioral data to identify critical moments in the customer journey and deploy contextually relevant messages, offers, and experiences. The platform specializes in reducing cart abandonment, increasing customer engagement, and optimizing the path to purchase through personalized interventions. Yieldify operates in the conversion rate optimization (CRO) and personalization segment of the MarTech/AdTech ecosystem, serving primarily mid-market to enterprise e-commerce brands. The company has worked with notable retailers and brands globally, positioning itself as a solution that bridges the gap between generic website experiences and fully personalized customer journeys. In 2022, Yieldify was acquired by Nosto, a commerce experience platform, which integrated Yieldify's journey optimization capabilities into its broader personalization suite.
Products & Features
Journey Optimization
Identifies and optimizes critical moments in the customer journey to improve conversion rates
Smart Personalization
Machine learning-driven personalization engine that delivers relevant messages and offers based on user behavior
Cart Abandonment Solutions
Tools to reduce cart abandonment through timely interventions and personalized messaging
A/B Testing & Experimentation
Testing framework to optimize personalization strategies and measure impact
Behavioral Targeting
Real-time targeting based on visitor behavior, intent signals, and engagement patterns
Key Features
Machine learning-powered personalizationReal-time behavioral trackingCart abandonment reductionExit-intent technologyMulti-channel campaign managementA/B and multivariate testingCustomer segmentationJourney analytics and insightsDynamic content deliveryMobile optimization
Use Cases
Reducing cart abandonment ratesIncreasing average order valueGrowing email capture and lead generationPersonalizing product recommendationsOptimizing checkout flowRe-engaging bouncing visitorsCross-selling and upsellingSeasonal campaign optimizationMobile conversion improvement
Customer Segments
E-commerce retailersFashion and apparel brandsConsumer electronics retailersHome and lifestyle brandsBeauty and cosmetics companiesTravel and hospitalitySubscription services