Allure Media Chooses Taboola To Increase Audience Engagement

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Discovery platform Taboola has announced that it has signed an agreement to be the content recommendation partner for Allure Media’s Australian editions of Gizmodo, Lifehacker, Kotaku and Business Insider.

Allure Media partners with publishers on the web to bring world leading brands to Australia such as Business Insider, Kotaku, Gizmodo, Lifehacker, POPSUGAR, ShopStyle, WhoWhatWear, Byrdie, and MyDomaine. Taboola’s personalised content recommendations will be integrated across several of Allure Media’s sites on desktop and mobile. The collaboration will create a unique opportunity for Allure Media to generate direct revenue and continue its trajectory of audience growth.

“We are very excited to team with Taboola. Taboola’s predictive personalization technology will help optimise engagement andrevenue across all of our sites as well as improve our understanding of what content our audience enjoys most,” said Danny Allen, publisher of the Australian editions of Gizmodo, Lifehacker and Kotaku, which have now deployed Taboola.

According to Nielsen Market Intelligence (April 2015), Allure Media reaches over eight million unique browsers in Australia every month with its premium, fast-paced, digestible content produced by high profile local editors.

“Our partnership with Allure Media is an important step in the expansion of our Australian footprint. We’re very excited about the opportunity to work together with Allure Media’s team on the next generation of personalization, segmenting audiences, leveraging storytelling to drive engagement, revenue, and audience growth in the years to come,” said Adam Singolda, founder and CEO of Taboola.

“With so many iconic and influential brands within Allure Media, we look forward to connecting more Australians than ever before with content they may like and never knew existed.”

Taboola’s advanced mathematical technology analyses hundreds of real-time signals (such as geography, device, referral source, and social media trends) to predict what content a specific user may most want to engage with next.

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