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Sentiment Analytics

Save time, money and gain actual insights with the ability to dive deep into reviews without having to analyze every review by hand.

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Welcome to a new world of A.I-Driven Analytics and Topic Modeling

Analyzing customer sentiment is pivotal for e-commerce brands seeking to enhance their online reputation and foster customer loyalty. Reviews serve as a potent means of gathering feedback, but manually evaluating each can be arduous and time-intensive. E-commerce brands can promptly and precisely determine customer sentiment from their online reviews by utilizing sentiment analytics.

 

What's Sentiment Analytics do for my E-commerce store?

Shopper Ratings and reviews data are hyper-rich in front-line knowledge for your store.  Analyzing this content and understanding how to apply it to a business KPI can be time-consuming and difficult.  Different reviews from different sites and aggregating that data can take time.    Using AI, we accelerate this process dramatically.

 

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  • Identify top product features and strengths.
  • Uncover recurring customer complaints or pain points.
  • Evaluate competitor performance and identify gaps.
  • Improve customer support by addressing mentioned issues.
  • Gauge customer perception of pricing.
  • Spot emerging trends and customer preferences.
  • Understand brand perception and reputation.
  • Monitor customer feedback on product launches.
 

Sentiment Core Insights


Our sentiment tool is broken up into three CORE components

  1. Review Sentiment and Keyword Analysis - Analyze keywords and mentions in review data
  2. Trending Topics - gather and categorize reviews for topics
  3. Third-party review Data (add-on) - a separate component to bring in all third party review data on other sites

Topic Deep Dives

 1. Getting Started with Sentiment

2. Filtering reviews & Keyword Analysis

3. Understanding Topical Data

4. Trend Alerts 

All in all...

Using sentiment analytics, e-commerce brands can identify key themes and trends in customer feedback, such as common pain points or satisfaction areas. The insights from sentiment analysis can help e-commerce brands make data-driven decisions to improve their products, services, and customer experience.