Customer Sentiment Analysis Across Public Platforms

Track shifts in customer perception using reviews, ratings, and public feedback data across digital platforms.

Overview

Collect & Structure Publicly Available Customer Feedback Data

Customer Sentiment Analysis focuses on collecting and structuring publicly available customer feedback data from review sites, marketplaces, forums, and social platforms. The datasets include review text, ratings, timestamps, and source metadata so analytics teams can measure perception changes and run their own sentiment and text models. External feedback data is delivered in structured form for direct use in analytics and BI environments.

Multi-Platform Review Collection

Aggregate customer reviews and ratings from marketplaces, review portals, and discussion forums.

Structured Feedback Fields

Deliver review text, scores, dates, product or service identifiers, and source details in normalized columns.

Cross-Channel Coverage

Combine feedback data from multiple public platforms into a unified dataset.

Time-Series Feedback Tracking

Capture feedback over time to support sentiment trend and perception shift analysis.

Keyword and Topic Fields

Include extracted keywords and tags to support downstream text and theme analysis.

Analytics-Ready Delivery

Provide structured outputs compatible with data warehouses, BI tools, and dashboards.

How It Works

1

Data Collection

We gather real-time, relevant data from various sources, including competitor websites, online marketplaces, social media, and other platforms that align with your needs.

2

Data Normalization

The raw data is standardized and organized to ensure consistency across different sources, making it ready for easy comparison and use.

3

Data Delivery

The structured data is then delivered to you through reports, dashboards, or integrations with your existing tools, ensuring you have the information you need in a usable format.

4

Real-Time Alerts

You can set up automated alerts to be notified when significant changes occur in the data, ensuring you're always aware of important developments.

Learn how our datasets make a difference

Perception Trend Visibility

Measure how customer sentiment changes over time across products and brands.

Issue Pattern Detection

Identify recurring complaint and praise themes in customer feedback.

Cross-Platform Comparison

Compare customer sentiment across different review and marketplace platforms.

Model-Ready Inputs

Feed structured feedback data directly into your own sentiment models and reports.

Analytics Teams

Run customer sentiment analysis models using structured review datasets.

Customer Experience Teams

Track feedback themes to guide service and support improvements.

Product Teams

Use customer review data to prioritize fixes and feature updates.

Consulting Teams

Support client sentiment and perception studies with cross-platform data.

TESTIMONIALS

Here's what our customers say about us

What I liked best about Grepsr is the ease of doing business, their responsiveness, and their professionalism. In the several years of working with Grepsr, I have not found anything to dislike.

Trent W. President

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The collaboration with Grepsr until this point has been smooth and very professional. They are attentive to details, flexible and quick with their actions which makes our work way easier and more effective. They always do their best to accommodate our needs and requests.

Kasia T. Data Analyst

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Grepsr are a very well run professional outfit across both technical and account management. We have pretty demanding needs and a huge volume of data. The quality and consistency of the output is great. Overall an excellent supplier.

Shane O. CTO

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– Articulate and clear in interactions – Timely in responses and follow-up – Adept at rapid issue resolution – Welcomes and implements feedback for continuous improvement

Aditi P. Data Acquisistion Specialist

The reps assigned to our account were professional, prompt and thorough in their communication. Results were delivered within expected time frames. As urgent requests came up, next steps were clearly communicated and the data received was accurate and informative.

Christopher Q. Data Analytics Lead

Communication was smooth and straightforward, and my sales representative was always quick to respond. They took the time to fully understand my needs and provided solutions that fit perfectly. Overall, a reliable and professional team to work with.

Danye W. Assistant Professor

Overall my experience with Grepsr has been very positive. It is a dependable solution for large scale and recurring data extraction. The platform reduces operational overhead and lets teams focus on analysis instead of data collection. Communication and support are strong. I would recommend it for teams that value stability and accuracy.

Aditya M. Data Consultant

Power Customer Sentiment Analysis with Structured Feedback Data

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