About Supster
Supster is a free tool used to create websites, bots, or mobile applications that capture and replicate individual personalities, experiences, and ideologies. The platform creates a 'digital clone' through various data sources such as chats, emails, social posts, YouTube videos, and audio files. This primarily aims to facilitate one-on-one interactions between influencers and their fans but also benefits businesses looking to maintain an individualized approach to large-scale communication. Using Supster, users can upload their experiences and personalities onto a chosen format and potentially earn via subscription from followers. The platform allows its users to create addresses for their pages, post relevant content, and manage this content with minimal technical skills. Supster's service settings offer commercial feeds, subscription services, private clubs, and goods by subscription, and control automatic charges for these services. The tool also provides an easy-to-use interface for order fulfilment and customer communication, encouraging relationship-building with potential clients. Finally, Supster supports business expansion through the creation of landing and promotional pages, contributing to a company's overall growth and outreach. Other integral features include a mobile CRM for on-the-go management, a built-in analytics and reporting system, and an automated sales funnel for efficient customer journey tracking.
Key Features
- ✅ Free tool
- ✅ Digital clone creation
- ✅ Captures individual personalities
- ✅ Uses various data sources
- ✅ Enables one
- ✅ on
- ✅ one interactions
- ✅ Individual approach to communication
- ✅ Potential to earn via subscription
- ✅ User
- ✅ friendly content management
- ✅ Built
- ✅ in commercial feeds
- ✅ Subscription service management
- ✅ Private clubs navigation
Pricing
Free to use
Rating & Reviews
3/5 stars based on 1 reviews
Categories & Tags
Category: Virtual Clones
Tags: Digital Marketing, Influencer Marketing, Personal Branding, Entrepreneurship, Customer Relationship Management, Data Analytics