Data privacy analysis report of dynamicyield

dynamicyield

Who are dynamicyield and what is their primary business model?

Dynamic Yield is an AI-powered Experience Optimization platform that delivers individualized experiences at every customer touchpoint: web, apps, email, kiosks, IoT, and call centers. Their primary product offerings include Site Personalization, Product Recommendations, A/B Testing, Content Management for Events, and Experience Optimization. Site Personalization allows businesses to deliver tailored experiences to their customers by personalizing the user journey on web and app platforms, as well as email

Product Recommendations through A/B testing enable businesses to offer more relevant product recommendations to their customers. Dynamic Yield enables businesses to run front-end tests to optimize UI and marketing campaigns. Furthermore, the platform offers valuable insights into key audiences through site personalization, product recommendations, A/B testing, and content management for events

Dynamic Yield’s AI-powered platform helps businesses deliver individualized experiences to their customers, improving customer engagement, conversion rates, and revenue. These product offerings enable businesses to improve their customer experience, increase conversions, and drive revenue growth.

What types of data does dynamicyield collect from its users?

Dynamic Yield collects various types of data from its users. Personal Information, such as name, email address, and other identifying information, is collected from various sources, including its website, CRM systems, and other data management platforms. Behavioral Data, including browsing history, search queries, and purchase history, is collected to understand user behavior and preferences

Contextual Data, such as location, device type, and browser type, is also collected to provide personalized experiences. The company uses Segmentation Data to identify and target high-value customers, creating audience segments based on digital interaction, context, phase in the customer's journey, third-party data, offline purchase, and more. Dynamic Yield collects Real-time Data including user behavior, preferences, and intent to power 1:1 personalization and targeting

Customer Data collected from various sources, including CRM systems, ESPs, DMPs, APIs, and POS systems, is used to create a unified customer profile. Visitor Data, including unique IDs (e.g., email, CUID), is collected to understand the potential of email campaigns or personalization experiences for non-registered users. Dynamic Yield maintains appropriate administrative, technical, and physical safeguards to protect personal information against accidental or unlawful destruction, accidental loss, unauthorized alteration, unauthorized disclosure or access, misuse, and any other unlawful form of processing.

What specific technologies does Dynamic Yield use to collect and manage user data?

Dynamic Yield uses various technologies to collect and manage user data. Data Activation capabilities allow it to collect and store customer data and then act upon it in real-time to make smarter marketing decisions and influence users with custom-tailored messages. Data Management Platform capabilities enable users to onboard data from multiple sources, including CRM, APIs, and more, categorize, and store it in a single customer segmentation and experience management platform

The platform integrates with Web Analytics Solutions to collect and analyze user data, such as browsing behavior, interactions, demographics, purchase history, and geographic location. Dynamic Yield uses Email Marketing Services to collect and analyze email data, such as email opens, clicks, and conversions. Integration with CRM Systems allows the collection and analysis of customer data, such as customer interactions, purchase history, and demographics

Dynamic Yield enables data collection using Tag Managers to analyze user data such as page views, clicks, and conversions. Data-in and Data-out Flexibility allows integration with various solutions, including ESP, DMP, eCommerce Platform, CDP, and more, to collect and analyze user data. Predictive Targeting utilizes Dynamic Yield’s algorithmic decisioning engine to generate maximal results based on business needs and discover hidden opportunities

AdaptML™ Recommendations leverage machine learning to analyze user behavior and preferences for personalized recommendations. Audience Explorer enables analyzing and acting on user segment data in real-time, while Behavioral Messaging launches tailored promotional overlays, exit-intent popups, important notifications, and social proof messages based on real-time behavioral and contextual data. These technologies collectively enable Dynamic Yield to deliver personalized experiences, optimize marketing campaigns, and drive business results.

How does Dynamic Yield handle data from third-party sources

Dynamic Yield integrates with various third-party sources to collect and utilize data from social media, loyalty programs, and other platforms. Data from Social Media platforms like Facebook, Twitter, and Instagram is collected to personalize experiences, including user behavior, interests, and demographics for creating targeted recommendations and offers. The platform integrates with Loyalty Programs to collect data on customer behavior, purchase history, and preferences to create personalized offers, recommendations, and content tailored to individual customer needs and interests

Dynamic Yield’s Algorithmic Decisioning Engine integrates data from various sources to create a unified customer profile, offering a comprehensive understanding of customer behavior and preferences. Predictive Targeting uses machine learning algorithms to analyze data from various sources, identifying patterns and predicting customer behavior to deliver targeted offers and recommendations enhancing customer engagement and revenue. The Data-in and Data-out Flexibility allows seamless integration with various third-party solutions, including ESP, DMP, eCommerce Platform, CDP, Tag Manager, and more

This flexibility enables businesses to collect and utilize data from multiple sources to create a holistic customer profile. Integrating with third-party sources, Dynamic Yield allows businesses to craft highly personalized experiences driving customer engagement, loyalty, and revenue.