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The Twilight renaissance: Why retailers need social media for trend forecasting

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More than half of these messages (54%) have a positive sentiment, 25% neutral and 21% have a negative sentiment (mainly held by skeptics of the trend’s longevity). 3 trend forecasting tips for retail brands. From there, you can dig into insights by sentiment, demographics, date and more.

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What Pinterest search trends reveal about the future of retail in a post-COVID world

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Retailers in particular have had to deal with a number of challenges, from navigating quarantine to keeping up with evolving consumer behaviors to resolving supply chain problems. While there is no roadmap for how to recover after a pandemic, consumer behaviors on social media give retailers a pretty good idea of what to expect post-COVID.

Retail 131
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‘Tis the season: Retailers can expect 32% more social messages this holiday season

Sprout Social

This prolonged and hyper-social holiday shopping season means it’s more important than ever for retailers to be ready for the influx of messages this time of year will bring. billion messages across Twitter, Facebook and Instagram to find out how retailers fared in previous holiday shopping seasons and what brands can expect for 2018.

Retail 108
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Retailers and the rising trend of sustainability: what marketers need to know

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And while the retail industry has weathered significant change lately, sustainability is one trend that just keeps rising. And messages pertaining to sustainable fashion boast a whopping 95% positive sentiment. View this post on Instagram. ????Research

Retail 101
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The role of artificial intelligence in business in 2024

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NLP and sentiment analysis Natural Language Processing (NLP) and sentiment analysis enable businesses to understand and interpret human language, making them essential tools for analyzing customer feedback, social media content and other textual data while automating report generation.

Patterns 116
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Role of artificial intelligence in marketing

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AI technologies like natural language processing (NLP), machine learning (ML), sentiment analysis and others guide decision-making, so you stay ahead of competitors and are prepared for the challenges of a dynamic marketplace. This allows you to anticipate your customers’ next move and take strategic actions for intended results.

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The role of AI in creating a more human customer experience

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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. In this manner, sentiment analysis can identify factors affecting your brand image, customer retention rate or brand loyalty.

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