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How AI insights improve decision making

Sprout Social

In this article, we’ll explore what AI insights are exactly, how they work and how they’re applied practically to progress different industries. Advantages of using AI for generating data insights How AI insights help businesses Understanding how AI Insights are generated What are AI insights? What are AI insights?

Sentiment 104
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Social Listening Vs. Social Monitoring: What’s The Difference?

Keyhole.co

So, when we delve into social listening, we’re exploring the “why” – the motivations and sentiments that drive the online discourse. You need to gauge and analyze the overall sentiment of online conversations related to your brand. Understanding audience sentiment towards content is critical.

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What social media tasks to automate and what to personalize

Sprout Social

Focus on these key tasks to create impactful social media reports: Benchmarking performance against competitors and industry standards to identify opportunities for improvement and differentiation. Segmenting data by channel, content type, campaign and audience demographics to uncover granular insights. It doesn’t stop there.

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Social Media Intelligence: What It Is & Why You Need It

Hootsuite

By tuning in to the conversations that your target audience is having–both about your brand and the broader topics in your industry–you can gain valuable insights into how they think, what they care about, and what motivates them. This information can be used to shape a data-driven strategy. This is where data analysis comes in.

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Your Guide To Social Listening On LinkedIn + Top Tools

Keyhole.co

You’ll be missing out on valuable data that could be helpful in building your business without social media listening. However, social listening is not all about mentioning your brand; it takes tracking of competing brands and trending content in your industry. Why is social listening important?

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A marketer’s guide to natural language processing (NLP)

Sprout Social

NLP powers AI tools through topic clustering and sentiment analysis , enabling marketers to extract brand insights from social listening, reviews, surveys and other customer data for strategic decision-making. Plus, see examples of how brands use NLP to optimize their social data to improve audience engagement and customer experience.

Process 103
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The role of AI in creating a more human customer experience

Sprout Social

AI customer experience is the use of AI technologies like natural language processing (NLP), text analysis and sentiment analysis to delight customers wherever and however they interact with your brand. Predictive analysis can also be used to stem customer churn by identifying contributing factors based on voice of customer data.