Promoted

Preview：

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Introduce：

Promoted is a solution focused on market search, recommendation, and native AD ranking that significantly improves conversion rates and AD quality through advanced machine learning technology and large-scale language model search relevance AI technology. It provides a unified search, recommendation and advertising service for the marketplace platform to help businesses achieve better matching and higher revenue.

Stakeholders:
Target audience for marketing search, recommendation and advertising engineering leaders, especially those seeking to enhance user experience and business revenue through technology. Promoted’s technical strength lies in its open source nature and advanced AI technology, making it ideal for commercial platforms that require fast, reliable, and scalable search and advertising solutions.
Usage Scenario Examples:

Hilicamli has improved its conversion rate by 11% through promotion, better matching guests and hosts.
Outschool has boosted revenue by 16 percent through promotions that better match teachers and learners.
RVshare has increased bookings by 25 percent through promotion, better matching RV owners and renters.

The features of the tool:

Combine proven machine learning techniques with the latest large-scale language model search relevance AI techniques for incremental transformation.
AD quality is matched with organic content for a unified search and recommendation experience.
Provide open source solutions that allow businesses to bring technology in-house at any time.
Support multi-region and multi-cloud services (AWS, GCP) to ensure service reliability.
Run on a public company scale to ensure scalability.
Efficient systems from networking to inference ensure fast response.

Steps for Use:

1. Visit the Promoted official website for product details.
2. Contact the sales team for a customized solution.
3. According to the needs of the enterprise, select the appropriate service and function module.
4. Deploy Promoted technologies and integrate them into existing market platforms.
5. Make use of Promoted open source features for personalized customization and optimization.
6. Monitor and analyze the conversion rate improvement effect brought by Promoted.
7. Continuously optimize search and advertising strategies based on feedback.

Tool’s Tabs: Market search, recommendation system