Unmetric Accelerates Time-to-Insight with ‘Outlier’ Detection for Branded Social Content
Summary
Unmetric, an enterprise solution for branded content analysis and discovery, today announced new outlier detection capabilities that enable digital marketers to easily identify and mine insights from social content that generates significantly higher than average audience interactions across Facebook, Instagram and Twitter. Outlier detection allows brands to quickly find the insight “needles” in their social data “haystack,” as well as dissect individual posts to understand key engagement drivers. “Marketers today are data-rich but insight poor—and social media plays a significant part in the ongoing data deluge,” said Lux Narayan, CEO of Unmetric. The outliers feature refines this further by taking that universe of social posts from competing brands and spotlighting the most attention-worthy content in its own visual feed that’s easy to follow and react to.” Unmetric Analyze already features a visual stream of content from a portfolio of brand competitors that marketers select to keep close tabs on. The outliers feature eliminates the need to manually sort or monitor content based on engagement by automatically detecting variances in publishing cadence or surges in audience interactions that fall outside of the norm in terms of standalone metrics (likes, comments, shares, retweets) or proportion of metrics to each other.
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