Understanding how customers perceive your product is no longer optional—it’s essential for staying competitive. With tools like Fusion Analytics, companies can use large language models (LLMs) to process thousands of customer reviews, uncover key product attributes, and turn qualitative feedback into quantitative insights.
Why Customer Perception Matters
When you understand what customers care about, you can:
- Develop better products by focusing on the features users actually want.
- Differentiate from competitors by emphasizing your strongest attributes.
- Optimize pricing based on perceived value.
- Target your marketing more effectively.
- Boost customer satisfaction and loyalty.
- Segment your audience with precision.
- Reduce returns and negative reviews.
- Increase conversion rates with messaging that resonates.
Case Study: SanDisk Ultra 64GB MicroSDXC Reviews
Using a dataset of nearly 5,000 customer reviews for the SanDisk Ultra 64GB MicroSDXC (sourced from Kaggle), we applied Fusion Analytics to see how LLMs can turn raw text into actionable insights.
What the Data Shows
Using Fusion Analytics, we see that:
- The reviews span from 2012 to 2014, with 20–50 reviews per week.
- The majority of ratings are 5 stars.
- Most reviews were marked as helpful by other users which implies trustworthiness of the reviews data.
The following figure shows the Fusion Analytics dashboard. Note the timeline showing the number of reviews per week and the distribution of star ratings, review helpfulness, and review votes.
Figure 1: Exploring the Dataset with Fusion Analytics
Key Product Attributes Identified
Next, we defined key product attributes customers might mention:
- Performance & Functionality
- Build Quality & Durability
- Compatibility & Connectivity
- Ergonomics & Portability
- Value for Money
Using Fusion Analytics, an LLM was prompted to analyze each review and tag whether it mentioned these attributes. It also scored the sentiment of each review on a scale from 0 (very negative) to 5 (very positive).
Insights from the Analysis
After adding these attributes to the data, we can add new widgets to the Fusion Analytics Dashboard which revealed:
- Positive Sentiment Dominates: No reviews scored below 2.0.
- Top Concerns:
- “Performance & Functionality” and “Value for Money” were the most discussed.
- “Compatibility & Connectivity” was a distant third.
The following figure shows these new dashboard widgets.
Figure 2: Fusion Analytics Dashboard showing review sentiment distribution and product attributes
After selecting elements of these widgets, we can quickly conclude that:
- Low Sentiment Reviews often mentioned performance and compatibility issues—highlighting pain points.
- Value-Driven Reviews had the highest sentiment scores, but also frequently mentioned performance, linking the two.
The following figure shows these new dashboard widgets after selecting the reviews related to “Value for Money”.
Figure 3: Showing common topics when selecting reviews related to “Value for Money”
Hidden Relationships Revealed
Fusion Analytics uncovered a strong overlap:
- Many reviews tagged for compatibility were also tagged for performance, and vice versa.
- This points to a perceived connection between these two product aspects—an insight that could shape both marketing and product improvements.
Fusion Analytics: From Insight to ROI
With Fusion Analytics, this process becomes fast, scalable, and actionable:
- Turn unstructured reviews into structured datasets.
- Build dynamic dashboards that track sentiment and attribute mentions.
- Use filters to drill down into specific concerns or customer segments.
- Continuously refine your products, messaging, and support based on a constant flow of new reviews.
Conclusion: Real ROI from Real Feedback
With an LLM integrated with Fusion Analytics, we we don’t just analyze reviews — we turn them into actionable strategy. The ability to quickly identify what drives satisfaction (or dissatisfaction) allows companies to:
- Prioritize features that customers value
- Fix what frustrates them
- Craft messages that convert
The result? Lower costs, happier customers, and stronger sales. That’s the real return on investment from processing customer reviews with Fusion Analytics.