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How AI insights improve decision making

Sprout Social

Advantages of using AI for generating data insights How AI insights help businesses Understanding how AI Insights are generated What are AI insights? Organizations use AI tools to filter big data into actionable intelligence to support better decision-making and strategies.

Sentiment 111
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5 best online survey tools and why marketers need them

Awario

The new era of mobile technologies and the popularity of social networks give marketers an incredible opportunity to connect with users and build a closer bond. But you cannot build a relationship with your audience without understanding its needs and preferences.

Survey 178
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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 110
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Social Media Intelligence: What It Is & Why You Need It

Hootsuite

This information can be used to shape a data-driven strategy. Social media intelligence is the practice of gathering data from social media conversations to inform your future marketing actions. They could later use this data to target their ads more effectively. This is where data analysis comes in. New to data analysis?

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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.

Sentiment 104
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How to use voice of customer data to improve your customer relationships

Sprout Social

Voice of the customer is a market research term for the process of collecting, analyzing and implementing customer feedback data. Through collection methods like surveys and reviews, the data will then be analyzed and distributed to relevant departments. In the analysis stage, we’ll look at commonalities within the collected data.

Data 125
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Brand experience: Why it matters and how to build one that works

Sprout Social

In this guide, you’ll learn how to build an exceptional brand experience with a step-by-step brand strategy framework that adapts to your customers’ needs, plus social listening examples that show how sentiment mining drives ongoing customer growth and retention. What is brand experience?

Brands 113