In the News

Hear announcements from the press about how Promoted is delivering dramatically better search, feed, and native ads ranking results.

April 2025

Dropbox Acquires Promoted.ai

Promoted.ai has been acquired by Dropbox (NASDAQ: DBX), driving the future of productivity at work together through Dropbox Dash.

December 2024

Promoted.ai Engineer Speaks at Flink Forward Conference

Xingcan Cui traveled to Berlin to highlight Promoted's adoption of Apache Flink, offering lessons in innovation and data processing.

November 2024

Promoted.ai Joins the AWS Partner Network

Promoted.ai earns an AWS Qualified Software badge and joins the AWS Partner Network, offering strategic benefits to marketplaces.

August 2024

Upwork Launches Unified Search and Ads Optimization Using Promoted.ai

Promoted.ai is excited to announce the integration of its powerful unified search and native ads engine with Upwork (NASDAQ: UPWK).

March 2024

When marketplaces should layer on ads

An interview with Andrew Yates, CEO of Promoted.ai, about the role of AI in optimizing marketplace efficiency, the challenges of layering on ads as a monetization strategy, and what marketplace companies should do before they start thinking about adding ads.

December 2023

Vigilance and Details: Interactive Debugging Outschool Search with Promoted.ai

Outschool's engineering team discusses their collaboration with Promoted.ai to solve their search ranking problem. They delve into the technical process of identifying and fixing issues, refining the search algorithm to better handle queries with specific keywords, in order to improve the relevance and accuracy of search results.

November 2023

Hipcamp Engineering: Using the Sun and Moon to Predict Conversion

The blog post explores using weather data to improve search and conversion rates, incorporating machine learning with historical and forecasted weather information. This approach aimed to optimize site recommendations, revealing unexpected trends like the moon's setting time affecting click-through rates, thereby enhancing the user experience on Hipcamp.

July 2022

The Tech Unifying Search, Feeds, Ads and Promotions for Marketplaces

On this Podcast, Andrew Yates, the co-founder and CEO of Promoted.ai, talks about the tech startup that helps marketplaces maximize conversions through optimizing for better search results as well as real-time personalization for new and anonymous users.

July 2022

Promoted grabs more funding to help e-commerce marketplaces achieve profitability

Promoted.ai, an e-commerce infrastructure company, secured an additional $6 million in seed funding, totaling $8 million. Launched in 2020 by ex-Pinterest engineers, it enhances marketplace efficiency through integrated search, ads, and promotions. Part of Y Combinator's 2021 cohort, Promoted has tripled its revenue recently. The new funds will expand its team and technology, focusing on promoting network building among marketplace customers to boost sales and efficiency.

June 2022

Here's How This Startup is Working To Reinvent The Ad Industry

In this episode, Shamus Madan chats with Andrew Yates, the mind behind promoted.ai. They discuss hiring challenges in tech, promoted.ai's goals, journey to Y Combinator, and strategies against tech giants. They also delve into misconceptions about ads and the changing consumer sentiment.

November 2021

Promoted.ai takes in fresh capital to grow your marketplace

Promoted.ai, initiated by ex-Pinterest engineers and launched in 2020, secured $2 million to refine its marketplace search tool. The company, known for enhancing online product discovery and sales, has already improved client conversion rates, like Hipcamp’s bookings. The funding will focus on recruitment and developing new listing management tools.

January 2024

Matching Bikes and Riders with Conversion Attribution in Search

Promoted.ai proudly announces its collaboration with Riders Share to revolutionize the motorcycle rental market through advanced "conversion attribution" technology. This innovative approach enhances the search function on Riders Share's platform, utilizing machine learning to match riders with the most suitable motorcycles based on predictive analysis of previous user interactions. By continuously refining these predictions, the new system ensures highly relevant and effective matchmaking, significantly improving user experience and conversion rates.