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Zoomd Signs Agreement with Philippine Star Media Group

The news-focused media will debut Zoomd technology for helping optimize advertising campaigns monetization

Zoomd Technologies Ltd. and its wholly-owned subsidiary Zoomd Ltd., the marketing tech (MarTech) user-acquisition and engagement platform, announces it has signed an agreement with Philippine Star Media Group, the Philippines’largest print and online media organization, for the use of Zoomd’s on-site search engine within the Star Media websites. The agreement aims to drive an increase in page views, a decrease bounce rate, and extend the average session length for site visitors while providing advanced analytics of user-intent for assisting in higher user-acquisition and user conversion rates for advertisers.

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The Company’s advanced Artificial Intelligence (AI) and Natural Language Processing (NLP) technology aims to provide new advantages to publishers by optimizing site traffic via on-site search, and guiding advertisers in managing their user acquisition (UA) across hundreds of media channels.

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“We keep expanding our global outreach,” said Amit Bohensky, Chairman and Co-Founder of Zoomd, adding “our Zoomd on-site search engines provide us with invaluable big-data that is essential for superior monetization on advertising campaigns. Each country and publisher we add to our growing network increases our competitive advantage and drives further market expansion.”

About Zoomd

Zoomd, founded in 2012 and began trading on the TSX Venture Exchange in September 2019, offers a site search engine to publishers, and a mobile app user-acquisition platform, integrated with a majority of global digital media, to advertisers. The platform unifies more than 600 media sources into one unified dashboard. Offering advertisers, a user acquisition control center for managing all new customer acquisition campaigns using a single platform. By unifying all these media sources onto a single platform, Zoomd saves advertisers significant resources that would otherwise be spent consolidating data sources, thereby maximizing data collection and data insights while minimizing the resources spent on the exercise.

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