User-Generated Content (UGC) videos are pivotal for insights into consumer preferences. Generative AI is a breakthrough “assistant” for brands overwhelmed by the volume of data.

Every day, we talk to marketers who express concerns about keeping up with the influx of UGC videos and the daunting task of analyzing customer feedback, including responses to campaigns and contests.

The good news: advancements in AI technology transform these challenges into opportunities for data-driven decision-making at scale.

Understanding generative AI in UGC video analysis

Generative AI refers to artificial intelligence technologies capable of generating content, including text, images, and videos, based on data it's trained on. When applied to UGC video analysis, Generative AI can identify patterns, trends, and insights at a scale and speed unattainable by human efforts alone.

For example, Vyrill's new Generative AI feature, "Ask Vyrill," empowers marketers to interpret vast quantities of video data quickly, facilitating rapid strategic adjustments to content, marketing, and product strategies. (More on this later!)

Step-by-step guide to analyzing UGC videos with AI

1. Data collection

Begin by gathering a large dataset of UGC videos relevant to your brand or industry. This dataset will serve as the training material for your Generative AI model.

2. Preprocessing

Prepare your UGC video dataset by segmenting videos into manageable clips, transcribing audio, and tagging visual elements. This step ensures that your Generative AI model can effectively process and analyze the content.

3. Model training

Use the preprocessed dataset to train your Generative AI model. The training process involves teaching the model to recognize patterns within the UGC videos, such as sentiment, topics of interest, and consumer preferences.

4. Analysis and insight generation

Once trained, deploy your Generative AI model to analyze new UGC videos. The model will automatically identify key themes, sentiment, and other valuable insights, providing you with a comprehensive understanding of your audience.

5. Actionable strategies

Utilize the insights from Generative AI analysis to inform your marketing strategies, content creation, and customer engagement efforts. By understanding your audience's preferences and behaviors, you can tailor your approach to meet their needs more effectively.

What are the benefits of using AI for UGC video analysis?

The benefits of using AI for UGC include efficiency, scalability, and deeper insights. 

Generative AI significantly reduces the time required to analyze UGC videos, allowing you to quickly adapt to consumer trends and feedback. We can analyze large volumes of UGC videos without the need for extensive manpower, making it easier to scale analysis efforts efficiently.

Generative AI helps us uncover nuanced insights that may be overlooked in manual analysis, providing a deeper understanding of your audience and what engages them.

Illustrating the impact of generative AI UGC video analysis through real-world examples

We have engaged multiple brands with our new “Ask Vyrill” video insights assistant.

Ask Vyrill to understand your questions and provide swift responses in text and video clips. In seconds, you can unlock vital information, empowering faster learning, swift actions, and a deeper grasp of the voice of your shopper. Below are a few examples:

Example 1

A CPG brand with over 900+ TikTok and YouTube videos sought to understand consumer flavor preferences for their probiotics drink line. Utilizing "Ask Vyrill," they were able to identify key flavor mentions and preferences (e.g., lime juice, organic cola flavor extract, strawberry vanilla, orange squeeze, orange cream, etc.) from video transcripts in seconds—a task that would traditionally take over 15 hours of manual analysis.

Example 2

An electronics personal care brand aimed to pinpoint topics discussed in their UGC videos to guide new video content creation. "Ask Vyrill" revealed the top 10 topics, including reviews, unboxing, and tutorials, allowing the brand to focus on content that resonates with its audience.

Example 3

The same brand also wanted to identify demographic gaps in its video content. Through Generative AI analysis, they discovered unrepresented demographics (e.g., seniors, teen minors, child minors, people of Middle Eastern and South Asian ethnicity, and Hispanic individuals), guiding them to create more inclusive content that appeals to a broader audience.

Conclusion

Generative AI for UGC video analysis mitigates the overwhelm marketers face and unlocks a wealth of actionable insights into consumer behavior and preferences. By following the steps outlined above, you can harness the power of Generative AI to transform your approach to UGC video analysis, enhancing your marketing strategies and fostering stronger connections with your audience. Spend more time actioning data vs. listening to data. 

Contact Vyrill today to learn how to develop and maximize your approach to UGC video marketing.

Recommended links (helpful articles)

• How To Find Quality UGC Video (Regardless of Budget)
• How To Increase Customer Participation in UGC Review Campaigns
• Why Businesses Need UGC for e-Commerce Success

About the Author

Ajay Bam is the CEO and Co-founder at Vyrill, a first-of-its-kind video intelligence company launched in 2017 through UC Berkeley’s Skydeck Incubator program. Vyrill helps brands and shoppers find the “moments that matter” inside videos. Its AI-powered “In-Video’' search technology analyzes & shares insights hidden within videos to improve personalization, SEO, and conversion. Before Vyrill, Ajay launched Boston-based, mobile shopping app company Modiv Media. He is a proven and accomplished product management professional, entrepreneurial thinker, and innovator with more than 13 years of experience leading startups and world-class brands.

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