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Unmetric Integrates AI-Driven Social Media Benchmarking Solution into Hootsuite

Integration Empowers Enterprise Brands and Digital Agencies to Manage and Benchmark Their Social Presence Against Their Competitors All in One Place

Unmetric, an enterprise solution for branded content analysis and discovery, has integrated its AI-driven social media benchmarking solution into Hootsuite, the leader in social media management. The integration will be available to Hootsuite’s Impact, Enterprise and Business Plan customers to help better benchmark their performance against competitors’ social media content across major social networks.

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Unmetric’s powerful AI monitors and analyzes hundreds of millions of pieces of content from competitors to add layers of intelligence to social data. Using Unmetric’s powerful AI tools integrated with Hootsuite, users get a complete picture of the historical and current performance of relevant brand content across the competitive landscape to inform their strategic marketing planning.

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“This integration with Unmetric supports our commitment to providing our customers with the best insights and analytics to fuel their social media strategy,” said Jeremy Wood, VP of Product Marketing, Hootsuite. “Unmetric’s advanced AI functionality allows for the analysis of social media content of our customers’ competitors and accurately estimates what is paid vs organic.”

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“We see a great opportunity for this integration to boost efficiency and provide deep competitive insights for today’s social media manager or analyst,” said Lux Narayan, CEO of Unmetric. “Unmetric cuts through the noise on social media by focusing exclusively on what brands are saying and how their audiences react, which provides invaluable data to Hootsuite customers.”

Hootsuite and Unmetric are discovering what major brands have published on their social profiles since 2012, and how audiences have historically engaged with the content. Hootsuite customers can immediately access Xia, the Unmetric AI, through the platform to interpret data, detect outliers, and estimate hidden data.

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