What Is Your Customer Feeling?Who, Where, Why?
AI-powered Voice of Customer analytics platform - blend feedback with CRM, shipping & segment data. Root cause analysis in seconds, key drivers by micro-segment.
What's Going Great
β Very user-friendly! β β β β
App Store review
β Order arrived on time π
Survey respondent
Needs Improvement
β Checkout page is too slow
App Store review
β The onboarding process is confusing
Survey response
3M+
Opinions / month
48hr
Onboarding
4
Languages
Trusted by leading brands
The Average Misleads.
The Real Story Lives in the Segments.
π΄ Overall NPS Isnβt Enough
Your average NPS is 42. But what if itβs 18 in the VIP segment and 67 online? The average hides the truth.
π‘ Feedback Alone Is Meaningless
The customer says βshipping was late.β But which carrier? Which region? Which segment? You donβt know.
π΄ Strengths Get Lost Too
Teams focus on complaints and miss whatβs working. Key Drivers never surface.
Highlights
At a glance: whatβs going great, what needs work.
Put it on your TV wall, and the whole team hears the customer at once.
LiveBoard βWhat's Going Great
β Very user-friendly! β β β β
App Store review
β Order arrived on time π
Survey respondent
Needs Improvement
β Checkout page is too slow
App Store review
β The onboarding process is confusing
Survey response
Key Driver Analysis
| Topic | Perf. | Import. | %Neg |
|---|---|---|---|
| Delivery speed | 28 | 24 | 78% |
| Returns process | 20 | 21 | 81% |
| App UX | 32 | 13 | 45% |
| Product quality | 35 | 28 | 22% |
| Customer service | 30 | 14 | 18% |
β 1 > 10/page
Key Drivers Summary
The factors that most affect satisfaction (strengths and gaps) on one screen.
Same Complaint, Different Story.
Blend feedback with your segment data. Discover experiences by micro-segment.
| Segment | Feedback score | Top issue |
|---|---|---|
| VIP customer | β β β ββ | Shipping delay |
| Standard | β β β β β | App bug |
| New customer | β β βββ | Onboarding |
| Online channel | β β β β β | - |
| Store channel | β β β ββ | Wait time |
What can you blend?
β Carrier and delivery data β Sales channel (online / store / partner) β Customer segment (VIP / standard / new) β Order value and category β Geographic region β CRM and customer history
Topics Surface Automatically. Actions Fire Instantly.
Gen AI reads every piece of feedback and discovers what matters, then agentic AI takes action before you even ask.
Auto Topic Detection
No manual taxonomy. No keyword rules. Gen AI reads every piece of feedback and automatically identifies emerging topics, clusters them, and tracks how they evolve, across all your channels and languages.
Discovered automatically Β· No manual setup
Agentic Actions
When a critical insight emerges in a key segment, the AI agent acts immediately, creating tickets, alerting teams, and sending executive briefings without waiting for human intervention.
Connect. Blend. Discover. Act.
Connect all channels and data
Connect your feedback channels (tickets, CRM, surveys, call center) and segment data (shipping, sales channel, customer group) to the platform.
AI blends and analyzes
Native Turkish NLU processes every record. Feedback is automatically blended with segment data. Highlights and Key Drivers are generated in real time.
The system takes action
Issue in a critical micro-segment? Tickets open automatically, teams are notified, and an Executive Briefing goes to the CX director.
Full capabilities
Auto Topic Detection (Gen AI)
Gen AI automatically surfaces emerging topics from feedback, with no manual categories or keyword rules needed. New themes appear in real time.
Agentic Actions
AI agents act on insights automatically, creating tickets, alerting teams, and sending briefings when critical patterns emerge in a segment.
Highlights
"What's Going Great" and "Needs Improvement": an automatic summary each period. Grounded in real comments, at a glance.
Key Drivers Summary
Statistically find what drives satisfaction most. Performance, importance, and negativity together.
Micro-segmentation
Blend shipping, channel, and segment data with feedback. VIP and standard customers may complain about the same thing for different reasons.
Root-cause analysis
Find the real reason in seconds β not just βbroken productβ but βthird-party delay, VIP segment, Istanbul region.β
KPI monitoring & anomaly alerts
Your metrics are watched continuously. When something shifts abnormally in a segment, you get an instant email.
Privacy-first PII masking
Customer data is masked before analysis. KVKK- and GDPR-aligned patterns are built in.
What data can you blend?
Feedback sources
- π« Zendesk / Freshdesk