Flickstree is a leading brand that creates engaging and original content for a wide audience. With in-house IP protected content, Flickstree has successfully reached over 50 million users across 150+ websites and apps. Behind their content creation and distribution is an impressive AI technology that allows them to deliver high-quality content on a large scale.

What sets Flickstree apart is their unique platform that offers branded stories to brands without any cost. These branded editorial videos are created using Artificial Intelligence, ensuring that users enjoy watching them voluntarily. In addition to generating user engagement, these videos also drive purchases, making it a win-win for both brands and users.

Flickstree's video content is distributed through their own apps and websites as well as their extensive network of 500+ publisher partners. Each video features a Buy Link, leading users directly to the brand's website, which is tracked using advanced technology. To further engage users, Flickstree conducts brand engagement campaigns called Win Rewards on their apps and websites.

These campaigns offer enticing rewards sponsored by brands, keeping users interested and encouraging them to become customers. As an AI-led affiliate platform, Flickstree enables brand awareness, engagement, user acquisition, and sales. Founded in 2016, Flickstree has garnered support from notable investors such as Sourav Ganguly, Samsung Ventures, SOSV, Venture Catalysts, and Facebook.

With impressive statistics like 85 million+ unique users, 500 million+ monthly video views, and 5 million+ monthly transactions, Flickstree has proven to be a trusted and successful platform. Their team, powered by AI and constantly experimenting, is dedicated to pushing the boundaries of digital marketing. If you're looking to create compelling brand stories and tap into a large user base, Flickstree is the ideal partner.

Contact them today to explore the innovative solutions they offer. (Note: The provided text contains contact information like phone numbers and email addresses that have been removed for the output description. )