Save time, money and gain actual insights with the ability to dive deep into reviews without having to analyze every review by hand.
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.
- 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
- Review Sentiment and Keyword Analysis - Analyze keywords and mentions in review data
- Trending Topics - gather and categorize reviews for topics
- 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
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.