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Description
Electric Twin is an innovative platform that utilizes AI to simulate synthetic audiences by constructing virtual populations based on actual data, enabling teams to swiftly forecast the thoughts, behaviors, and responses of target consumers concerning products, messages, campaigns, and strategic inquiries without the need for conventional surveys or focus groups. By integrating advanced language models, machine learning techniques, and insights from social science, it generates intricate synthetic personas that authentically reflect real-world demographics, allowing for rapid queries that yield insights with statistical accuracy akin to traditional research methods, often achieving results in mere seconds rather than the weeks typically required. This capability empowers organizations to evaluate marketing copy, product concepts, campaigns, and market hypotheses, facilitating quick iterations across various segments and enabling them to investigate responses from diverse demographic groups, ultimately expediting insights that would otherwise necessitate expensive and time-consuming field studies. Consequently, Electric Twin not only enhances decision-making efficiency but also reduces research costs, making it an invaluable tool for businesses aiming to stay ahead in a competitive landscape.
Description
Explore our extensive array of publications in Physical Sciences and Engineering, which encompass a wide variety of fields ranging from theoretical concepts to practical applications. Delve into our comprehensive collection of journal articles and book chapters in Life Sciences that showcase original studies, thoughtful critiques, and the latest theories. Stay informed about advancements in health and medicine that can drive research forward and enhance patient care. Browse through our books and journals that provide resources on education, reference materials, decision-making support, and other essential subjects. Additionally, uncover a vast selection of journals and books in social sciences and humanities that illuminate historical perspectives, contemporary issues, and emerging trends. Elsevier actively promotes the sharing of research data by authors upon manuscript submission, and this can include various forms of data such as raw and processed datasets, software, and algorithms. By fostering this practice, we aim to enhance transparency and collaboration within the scientific community.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Electric Twin
Founded
2023
Country
United Kingdom
Website
www.electrictwin.com
Vendor Details
Company Name
Elsevier
Country
Netherlands
Website
www.sciencedirect.com
Product Features
Audience Intelligence
AI / Machine Learning
Audience Segmentation
Competitive Intelligence
Content Tracking
Data Visualization
Data-Driven Insights
Filters / Search
Image Recognition
Sentiment Analysis
Social Listening
Social Media Analytics
Trend Tracking
