Northern Light Social Analytics Helps Marketers Automatically Identify Meaningfully Connected Terms Within Social Media Posts to Optimize Ad Spend, Target Social Media Posts, and Analyze Competitors’ Business Strategies
Northern Light announced the immediate public availability of a free beta version of Northern Light Social Analytics, the first enterprise class, AI-enabled tool that can automatically identify thousands of closely correlated Twitter keywords, hashtags, and authors to guide social media marketing and inform a company’s competitive intelligence (CI) and market research efforts.
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NorthernLight Social Analytics is optimized for social media marketing decisions and market research rather than social media monitoring. Any hashtag can be instantly analyzed to determine its semantic association with other hashtags, its association with keywords, and authors who have used it and their location, either by the number of posts or the number of viewer impressions those posts generated, giving the user valuable insights into social media messaging and targeting.
Northern Light Social Analytics employs machine learning to create a ranked list of meaningful hashtags related to a specified primary term. For example, should a company with a machine-learning-based AI product use “#AI,” “#machinelearning,” or both in their social media posts? Northern Light Social Analytics can answer that question. (#AI is the answer.)
“Northern Light Social Analytics understands the meaning and context of social posts. That’s what makes it invaluable for advertising planning and strategy, as well as market research and competitive intelligence,” C. David Seuss, Northern Light’s CEO, said. “The role of social media as both a marketing and research vehicle continues to mushroom across all sectors of business and industry. No company can afford to have anything less than a deep and nuanced understanding of the messages pouring forth.”
The free public beta version of Northern Light Social Analytics covers several industries, including IT, Telecom, Financial Services, Hospitality, Consumer Products, Healthcare, Life Sciences, Food & Nutrition, Equipment, and Mining.
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