CoSupport AI
What is MediaMonetized?
MediaMonetized delivers specialized ecommerce and online auction platforms designed to help organizations such as media companies, trade shows, and nonprofits expand their reach and revenue. Its solutions allow businesses to develop branded, interactive shopping experiences that integrate seamlessly with social media, increasing exposure and sales opportunities beyond traditional events.
The platform ensures a secure online environment, adhering to PCI standards and offering a comprehensive suite of administrative and payment features. From real-time bidding to integrated payment gateways and robust admin controls, users are equipped with the tools needed to manage listings, track sales, and maximize engagement efficiently and reliably.
Features
- Real-Time Bidding: Enables interactive online auctions with live updates.
- Social Media Integration: Allows sharing of listings on major platforms to increase reach.
- PCI Compliance: Maintains security standards for protecting customer data.
- Integrated Payment Gateways: Secure and immediate payment processing with multiple providers.
- Flexible Admin Portal: Manage listings, pull reports, configure auctions, and feature listings easily.
- Analytic Reporting: Gain insights into user behavior and sales performance.
- Dynamic Auction Features: Includes bid extend, watch lists, and multiple auction listing options.
- User Account Security: Secure registration, login, SSL support, and password recovery.
Use Cases
- Launching an ecommerce site for media company advertisers.
- Enabling online shopping platforms for consumer trade shows to extend exhibitor sales.
- Creating continuous branded auction platforms for non-profits and charities.
- Offering alternative sales channels and revenue opportunities for existing employees.
- Increasing brand exposure and participant engagement through interactive online events.
Helpful for people in the following professions
MediaMonetized Uptime Monitor
Average Uptime
100%
Average Response Time
154.8 ms
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