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What is Relative Insight?

Our text analysis platform, dedicated to ensuring online child safety, unlocks valuable business insights from your existing text data. Relative Insight’s cutting-edge technology equips marketing professionals and brand strategists to maximize the benefits of their textual assets. Utilizing a comparative approach, we enable the swift creation of comprehensive audience insights at scale, enhancing your qualitative assessments with a profound level of detail and accuracy. Armed with these distinctive marketing insights, brands can refine their messaging, enhance their market positioning, and develop more effective campaigns. Our platform simplifies the interpretation and utilization of unstructured data, significantly reducing the time required for analysis. Furthermore, this approach is versatile and can be applied across various primary research formats such as interviews, focus groups, and videos, uncovering hidden data treasures that you might not have recognized. Relative Insight also facilitates direct comparisons of your brand's messaging against that of your competitors, helping you maintain a competitive edge in your industry. By delving into these insights, brands can forge stronger connections with their audiences, boost engagement, and ultimately drive better business outcomes. This holistic understanding of the market landscape empowers brands to navigate challenges and seize opportunities with confidence.

What is Centriam?

Centriam skillfully converts raw data into practical insights at an affordable rate, assisting you in reducing customer churn while also enhancing upsell opportunities. Leverage customer behavior and data to determine the optimal timing and method for gathering feedback. With Centriam, you can initiate highly customized feedback campaigns triggered by specific customer interactions. By associating feedback with detailed customer profiles, you acquire an in-depth understanding of their challenges. It's essential to tackle the most pressing concerns through targeted follow-up communications that draw from both customer feedback and insights. Swiftly addressing customer issues in a way that aligns with their expectations is vital. Moreover, integrating Centriam with various data systems allows you to set up feedback triggers that react to customer behaviors and insights effectively. Craft specific follow-up strategies that take into account customer feedback, text analytics, and profile data, while also identifying which customers need urgent attention. By prioritizing follow-ups based on these factors, you can significantly boost customer satisfaction and engagement. This well-rounded approach fosters a deeper connection and a more responsive relationship with your clients, ultimately leading to enhanced loyalty and trust.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Relative Insight

Company Location

United Kingdom

Company Website

relativeinsight.com

Company Facts

Organization Name

Centriam

Date Founded

2012

Company Location

United States

Company Website

www.centriam.com

Categories and Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Text Mining

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

Categories and Features

Customer Experience

Action Management
Analytics
Customer Segmentation
Dashboard
Feedback Management
Knowledge Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis

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