Relative Insight: AI-Powered Customer Intelligence Platform
Relative Insight helps CX, analytics, and HR teams understand the root causes behind their KPIs. It is designed for organizations that need to centralize fragmented feedback data.
At a glance
- Category
- Browse Data & Analytics tools
- Best for
- Mid-Market Companies, Enterprise Companies, CX Teams, Insights and Analytics Teams, HR and People Teams
- Pricing
- Pricing is based on the number of connected data sources and requires a minimum one-year contract. Additional user licenses are charged separately.
- Key use cases
- Customer Experience Optimization, Fan Engagement Analysis, Employee Sentiment Monitoring, VoC to Revenue Mapping
- Integrations
- Survey platforms, NPS and CSAT tools, Social listening platforms, CRM systems, Support platforms
- Official website
- Visit relative insight official website
Relative Insight is a customer intelligence platform designed to analyze unstructured text data from surveys, social media, call logs, and emails. It centralizes this information to help businesses understand the drivers behind metrics like NPS and CSAT.
The tool is intended for CX, insight, and HR teams. It supports the process of converting qualitative feedback, such as open-text survey responses, into a quantified format to help inform business decisions.
By using linguistic AI, the platform is designed to detect sentiment shifts and emerging themes. This may help teams identify churn risks or revenue opportunities more quickly than manual analysis.
Buyers should note that the platform requires a minimum one-year contract and utilizes a pricing model based on the number of connected data sources.
Key Features
Automated Coding
Automatically categorizes and codes volumes of unstructured text feedback.
Root Cause Analysis
Designed to help uncover reasons behind customer behavior and KPI movements.
Comparative Sentiment Tracking
Tracks and compares sentiment across different customer or fan segments.
Real time Issue Detection
Supports the identification of rising issues, such as checkout friction or app failures.
Churn vs Loyalty Comparison
Analyzes language differences between loyal customers and those at risk of churning.
Revenue Signal Identification
Links language patterns in feedback to potential spend and growth opportunities.
Use Cases
Customer Experience Optimization
Analyzing NPS and CSAT open-ends to identify friction points and support churn reduction.
Fan Engagement Analysis
Processing feedback from sports and entertainment fans to support event experiences and sponsor value.
Employee Sentiment Monitoring
Identifying patterns in internal feedback that may indicate employee disengagement or burnout.
VoC to Revenue Mapping
Converting Voice of Customer data into signals for marketing and customer success teams.
Best For
- Mid-Market Companies
- Enterprise Companies
- CX Teams
- Insights and Analytics Teams
- HR and People Teams
- Executive Teams
Integrations
- Survey platforms
- NPS and CSAT tools
- Social listening platforms
- CRM systems
- Support platforms
- Live chat
Pricing
Pricing is based on the number of connected data sources and requires a minimum one-year contract. Additional user licenses are charged separately.
FAQ
How is Relative Insight priced?
- Pricing is determined by the number of connected data sources. There are additional costs for extra user licenses and a minimum contract term of one year.
What types of data can the platform analyze?
- It can connect to survey platforms, NPS/CSAT tools, social media, online reviews, forums, call logs, chat conversations, and emails.
Do I need a data science background to use Relative Insight?
- No, the platform is designed for CX and business teams to self-serve by automating the coding and analysis process.
Source category: Data & Analytics
Source subcategory: Analytics & Reporting
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Categories
Software Type
How AI is used
Relative Insight uses linguistic AI to analyze unstructured feedback from surveys, social media, and call logs to support root cause analysis and churn prevention. It requires a minimum one-year commitment.
Pros & Cons
Pros
- Centralizes data from sources like social media, call logs, and surveys.
- Does not charge based on the number of words or messages analyzed.
- Designed for users to perform text analysis without advanced data science skills.
- Provides data-backed metrics based on language patterns.
Cons
- No monthly payment options; requires a minimum one-year contract.
- Additional user licenses incur extra charges.
- Pricing based on the number of connected data sources may increase costs as more tools are added.
