Natural Language Processing

Reveal Powerful Consumer Sentiments.

Why Use Natural Language Processing (NLP)?

Text responses from your audience can often yield some of the deepest insights. Utilize NLP to instantly distill your product reviews, Net Promoter Score (NPS) comments, and responses to open-ended survey questions to better understand consumers. Why Use Natural Language Processing (NLP)? 1

Why Use Natural Language Processing (NLP)? 2

Analyze your results by topic, keyword, theme, or sentiment to uncover opportunities, trends, and potential problems that frequently arise for your customers, allowing you to build better products, deliver more impactful messaging, and create an effective branding strategy.

Use Cases

for Natural Language Processing

New Shoe Model

The product team for a popular shoe brand was working to design their newest model for an upcoming drop. They wanted to utilize customer feedback to ensure they would create a shoe that their fans would obsess over. Their previous models had thousands of customer reviews, often rich with insights into their customers’ favorite features and even some suggestions for improvements. The team turned to Natural Language Processing (NLP) to analyze the customer reviews instantly and at scale, allowing them to sort and filter by sentiments, topics, and keywords to help them more effectively apply the insights into their development cycle.

Consumer Packaged Goods

In their latest brand tracking study, a CPG company wanted to extract additional qualitative insights from their consumers alongside a traditional Net Promoter Score (NPS) measurement. In their survey, they included an open-ended text box following their NPS question. Using Natural Language Processing (NLP) their team was able to quickly analyze the feedback to better understand how consumers felt about their brand and products.

New Shoe Model

Consumer Packaged Goods

New Shoe Model

Consumer Packaged Goods

Natural Language Processing

with SightX

Automated NLP

Our user-friendly interface paired with machine learning functionalities simplifies and streamlines text analysis.

Visualized Qualitative Data

SightX automatically organizes consumer feedback into word clouds and pie charts to more easily filter, compare, and cluster your text analysis data.

Real-Time Insights

As soon as your respondent data arrives in the platform, text analysis software works to provide actionable intelligence, in real-time.

What Natural Language Processing Will Do For You?

Better Understand Your Audience

Discover common sentiments, themes, and trends amongst your market segments to better understand how each feels about your brand, product, or messaging.

Improve Customer Experience

Utilize sentiment analysis data to uncover valuable insights to improve your brand’s interactions with consumers.

Develop Engaging Content

Learn the language your customers use when describing your brand or products for more targeted messaging.