The Opportunity
Your brand’s largest consumer data-set – consumer reviews and social media comments – already exists.
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Hundreds of millions of product reviews, all tied to purchase, exist on sites like Amazon, Walmart, Influenster and Google.
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Billions of Facebook and Instagram comments, millions of tweets, and hundreds of hours of content on YouTube are posted every month.
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All of this is unfiltered and real-time.
That data is a gold mine of insights to answer any business need.
The Challenge
While reviews and social media have a wealth of insights that could be actioned, there are a few challenges:
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Data is unstructured and on multiple sites.
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The volume of data that lives in this space goes far beyond any human’s ability to analyze it.
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Machine learning & natural language processing can help trained data scientists detect drivers, themes, emotional attachment to brands, etc., but an algorithm cannot do it all.
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Seasoned specialists in brand strategy and marketing are needed to complement machine learning and AI - to look for patterns, claims, or competitive vulnerabilities based on understanding the brand's story.
Imagine The Possibilities
These thousands of unfiltered data points on your brand and your competitors hold a wealth of potential to:
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Action patterns that emerge from competitive launches.
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Get Early Warning of consumer issues on new launches.
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Mine for unmet needs.
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Uncover new ways to talk to customers.
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Detect trends & mine for insights about current trends.
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Improve operations.
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Understand how, when & why consumers are using a product or service.
And all of that directly from your consumer’s voice.