In today's digital age, the influence of video knows no bounds. The proliferation of platforms such as YouTube, Instagram, TikTok, and Snapchat has unleashed a torrent of video content. This phenomenon isn't confined to the consumer realm alone; even the professional sphere has embraced video through platforms like Google Meet, Zoom, and Teams. Now, picture this: what if video surveys could unlock a treasure trove of high-quality product data for marketers?
Video surveys bridge the gap between traditional written questionnaires and in-person interviews. While written surveys provide ample data, in-person interviews offer high-quality but limited responses. Video surveys, allowing participants to respond through recorded videos on their computers or smartphones, offer the perfect blend of data quantity and quality.
Verbal responses often come more naturally to people than written ones.
Videos capture emotions vividly, promoting spontaneity and authenticity.
Implementing video surveys is cost-effective and scalable compared to in-person interviews.
There's an abundance of video product reviews and tests on platforms like YouTube, spanning various languages and regions.
Sorting through numerous videos can be time-consuming.
Video lengths vary greatly, from seconds to minutes.
Language barriers might necessitate translation services, adding to study costs.
Synthesizing insights from videos can be labor-intensive, and maintaining objectivity in analysis is challenging.
Whether you have your own video content or wish to tap into the vast pool of consumer or expert product reviews in video format, Sensia's video analysis feature simplifies the use of video for market research.
Discover how an Spirit Brand Owner unlocks the power of Expert Panel Video Interviews
Picture this: you have recorded 3 hours of video interviews with experts as part of an Expert Panel study you initiated to gather their professional opinions on your product. You've spent hours watching them several times and taking notes But how do you draw any meaningful conclusions?
It's as easy as 1-2-3 with Sensia. Start by creating a project, simply giving it a name, description, and product category. Then, copy and paste the Youtube URLs of the videos you wish to analyze. Sensia seamlessly handles videos in multiple languages, ensuring you receive comprehensive insights.
In just minutes, Sensia delivers insightful analysis for your products, encompassing:
Number of reviews analyzed
Languages of the reviews analyzed
Proportion of Negative Reviews
Proportion of Positive Reviews
Product Score
Dominant Emotion
These results, meticulously calculated by Sensia's AI, guarantee objectivity, empowering you to make precise product comparisons across categories.
Sensia's report takes you on a deep dive into your product's performance, intelligently assessing key attributes that hold the most sway with consumers. Attributes like ingredients, packaging, brand, and purchase intention are thoughtfully evaluated.
Going even deeper, the In-Depth analysis unveils precisely what's effective and what's not, featuring:
Key product metrics radar
Category-level Scorecard
Best video transcripts by category
Now that you've grasped the 'What,' Sensia empowers you to unearth the 'Why.' Sensia's AI detects keywords, granting you access to a keyword scorecard and the ability to explore pertinent phrases from reviews. This profound insight enables you to precisely decipher how specific attributes shape consumer perceptions of your product.
Full list of reviews sorted by score
Powerful filters at the keyword level
Contextualization of keyword usage within reviews
Results empowered at both the project and data source level
Upon completing your analysis, need to distill the key takeaways for your team or boss? Sensia takes care of that too. It not only highlights critical areas of interest but also furnishes customized recommendations to elevate your product.
Automatic Executive Summary
Key Watch-outs
Targeted Improvement Recommendations
Sensia's video analysis solution opens doors to various market research use cases, including:
Testing a product at different stages of development for optimization.
Comparing multiple product versions to identify the most promising one.
Objectively positioning a product within a range.
Enhancing established products by identifying improvement opportunities.
Understanding the strengths and weaknesses of competing products to drive innovation.
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