AI insights for market research

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AI insights revolutionized market research, enabling marketers to extract valuable competitive insights from a large consumer base quickly. Consider a new healthy snack brand, analyzing thousands of consumer surveys and open-ended responses about snack preferences and brand recognition. Through AI-driven data extraction, the brand can quickly categorize responses, pinpoint key themes and identify mentioned brands. This analysis offers the newcomer precise market positioning insights, including identifying indirect competitors like essential vegetables. With this knowledge, the company can strategically focus its marketing and product positioning efforts to maximize success in its core markets.

Understanding how AI insights are generated
As you can see, many industries use AI for sentiment analysis to provide bulgaria b2b leads an in-depth understanding of their customer behavior. As an example, this section will walk you through how AI processes numerical and textual data to give you better customer insights.

Step 1: Data collection
The first step involves collecting the data for analysis. This can be social media posts, customer reviews, surveys, customer care logs, NPS scores and emails. The aim is to gather a comprehensive dataset that reflects the sentiments and opinions of the target audience about your brand or product. The data can be uploaded directly through APIs or manually entered as CSV files.

For example, let’s say we wanted to understand people’s sentiments around Sprout Social across social media and review platforms.

An X (formerly Twitter) post from a fan of Sprout Social's AI Assist

A LinkedIn post from a Sprout Social employee describing the positive work culture.