Creates a single, holistic view of each customer by stitching together data from multiple online and offline sources using a persistent identifier (Adobe ECID).
Uses machine learning models to analyze audience traits and automatically discover new, high-value audience segments or predict customer lifetime value and churn risk.
Tracks and links user interactions across different devices (desktop, mobile, tablet) to maintain a consistent audience profile, crucial for understanding the complete customer journey.
Provides pre-built integrations (destinations) to hundreds of advertising platforms, data exchanges, social networks, and on-site personalization tools for audience activation.
Includes access to the Adobe Advertising Cloud Data Marketplace, allowing users to enrich their first-party data with qualified second- and third-party data segments.
A marketing team uses Audience Manager to build segments of users who have shown high intent (e.g., visited product pages multiple times but not purchased). They then activate these segments to demand-side platforms (DSPs) and social media ad platforms to serve personalized, retargeting ads with dynamic creative. This increases conversion rates and improves return on ad spend (ROAS) by focusing budget on the most promising audiences.
Analysts ingest data from websites, mobile apps, and email campaigns into Audience Manager to create unified customer profiles. They analyze the paths taken by converting versus non-converting users, identifying critical drop-off points. These insights are used to build segments of users stuck in the funnel, who are then targeted with specific nurturing content via email or on-site personalization tools to move them forward.
A brand identifies its top 10% most valuable customers based on purchase history and lifetime value. Using Audience Manager's algorithmic modeling, the platform analyzes the traits of this seed audience and finds other users with similar characteristics across the web. This new 'lookalike' segment is then used for prospecting campaigns to acquire new customers with a higher predicted lifetime value.
To avoid ad waste and improve user experience, a media planner creates segments of existing customers or users who have already converted. These segments are shared with advertising platforms as 'suppression lists,' ensuring ads are not shown to these users. Similarly, segments are built to cap the frequency of ads shown to any single user across different publisher sites, managing budget efficiency and brand perception.
A retailer with physical stores uploads hashed customer email lists and offline transaction data into Audience Manager. The platform matches these offline identities to online profiles. Marketers can then measure how online display or social media campaigns influenced in-store purchases by analyzing the overlap between exposed audiences and offline buyers, closing the loop on cross-channel attribution.
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15Five operates in the people analytics and employee experience space, where platforms aggregate HR and feedback data to give organizations insight into their workforce. These tools typically support engagement surveys, performance or goal tracking, and dashboards that help leaders interpret trends. They are intended to augment HR and management decisions, not to replace professional judgment or context. For specific information about 15Five's metrics, integrations, and privacy safeguards, you should refer to the vendor resources published at https://www.15five.com.
20-20 Technologies is a comprehensive interior design and space planning software platform primarily serving kitchen and bath designers, furniture retailers, and interior design professionals. The company provides specialized tools for creating detailed 3D visualizations, generating accurate quotes, managing projects, and streamlining the entire design-to-sales workflow. Their software enables designers to create photorealistic renderings, produce precise floor plans, and automatically generate material lists and pricing. The platform integrates with manufacturer catalogs, allowing users to access up-to-date product information and specifications. 20-20 Technologies focuses on bridging the gap between design creativity and practical business needs, helping professionals present compelling visual proposals while maintaining accurate costing and project management. The software is particularly strong in the kitchen and bath industry, where precision measurements and material specifications are critical. Users range from independent designers to large retail chains and manufacturing companies seeking to improve their design presentation capabilities and sales processes.
3D Generative Adversarial Network (3D-GAN) is a pioneering research project and framework for generating three-dimensional objects using Generative Adversarial Networks. Developed primarily in academia, it represents a significant advancement in unsupervised learning for 3D data synthesis. The tool learns to create volumetric 3D models from 2D image datasets, enabling the generation of novel, realistic 3D shapes such as furniture, vehicles, and basic structures without explicit 3D supervision. It is used by researchers, computer vision scientists, and developers exploring 3D content creation, synthetic data generation for robotics and autonomous systems, and advancements in geometric deep learning. The project demonstrates how adversarial training can be applied to 3D convolutional networks, producing high-quality voxel-based outputs. It serves as a foundational reference implementation for subsequent work in 3D generative AI, often cited in papers exploring 3D shape completion, single-view reconstruction, and neural scene representation. While not a commercial product with a polished UI, it provides code and models for the research community to build upon.
