AI-Powered Voice of Customer & Employee Platform

Smarter Insights. Better Decisions.

Cloud4Feed brings every survey, review, call and conversation into one AI platform — so you know what to fix first, act before customers and employees leave, and see what it was worth.

100+
companies
15+
industries
45
countries
  • Every channel, one inbox
  • One AI engine, 50+ languages
  • Know what to fix first
  • Close the loop — and win customers back
OverviewSample data
Sentiment Score
Scale −100 to +100
+18.0
previous +12.0
Combined Reputation Score
72▲ +3.4
0–100 index
Response rate
64%▲ +9 pts
reviews answered
Avg. response time
8.4 h▼ −2.1 h
to first reply
Reputation Trend Over TimeCSVPNG
Review volume Combined Reputation Score Previous period
n = 2,842 records

Trusted by teams in retail, finance, telecom, automotive and more

Customers leave quietly. Their feedback lives in five tools.

32%

of consumers stop doing business with a brand they love after one bad experience.

Source: PwC, Experience is everything
~4%

of unhappy customers ever complain — the rest simply leave, silently.

Source: Ruby Newell-Legner, Understanding Customers
Survey toolNPS +42
Review tool4.1 ★
Call analyticsQA 62%
Text analytics18 themes
Win-back toolseparate list
5 logins · 5 data models · numbers that don't line up
One customer profile
One AI engine
One workflow
01 Listen · Feedback Sources

One platform, one source of truth

Bring every feedback source into one place — every capability shares the same AI engine, dashboards and action workflows.

Surveys
Ask the right question, to the right person — in minutes.
Reputation Management & Social Listening
Every review, mention and comment — answered from one place.
Call Quality Monitoring
Score every call. Not just the few you have time to hear.
Product & Competitive Intelligence
See how every product stacks up — attribute by attribute.
NPS, CSAT and journey surveys in 50+ languagesWeb, e-mail, SMS, QR, mobile, WhatsApp and voice channelsOne inbox, Reputation Score, competitor benchmarks, AI replies in your brand voiceA transcript and quality score for every callMarketplace and store reviews (Şikayetvar, Trendyol, Hepsiburada)
Source BreakdownSample data
SourceRecordsReputation Score
Google1,20874
Trustpilot41261
TripAdvisor53678
Instagram38966
n = 2,842 records
Reputation ManagementSample data
Source Breakdown
Records, score, sentiment split and response performance by source
SourceRecordsSource scoreReputation ScoreSentiment splitResponse rateAvg. response time
Google 1,208 4.2 / 5 74 71% 6.2 h
Trustpilot 412 3.8 / 5 61 58% 11.4 h
TripAdvisor 536 4.4 / 5 78 66% 7.8 h
Instagram 389 — 66 49% 9.1 h
Booking.com 297 8.1 / 10 69 73% 5.6 h
PositiveNeutralNegativen = 2,842 records
01 Listen · AI-Powered Engagement

Don't just listen — reach out and engage.

Turn your survey into a conversation on WhatsApp or the phone — and win back the customers who went quiet.

WhatsApp Conversational Interviews
Hear from the customers email and SMS miss.
Hi! How would you rate yesterday's store visit, from 0 to 10?
8
Thanks. In a few words, what pleased you most?
The staff were very attentive.
Voice AI Telephony Interviews
Give your survey a voice.
Voice AI interview02:14
ReActivate — Smart Retention Management
Win back the customers who went quiet.
15×higher conversion than bulk SMS
9×+return on investment
~90%lower cost than a call-centre campaign

Ask a question. Get the answer.

One AI engine codes every conversation. AI Insights ranks what matters and predicts who's about to leave.

02 Analyse · Conversation & Text Intelligence

Every conversation, understood — in every channel and language.

TopicTopic-level sentimentIntentEmotionPersonaSeverity

The engine behind this analysis reads all your channels the same way.

Sample data
Sample review analysis
★★☆☆☆March 2026

Waited far too long at checkout, the staff seemed indifferent but the store was clean and the range is wide.

Checkout Wait TimeNegative
Staff AttentivenessNegative
Store CleanlinessPositive
Product RangePositive
IntentComplaint
EmotionFrustrated
PersonaQuick-fix seeker
03 Insight · AI Insights & Predictive Analytics · Insight Dashboards

Know what to fix first — and who's about to leave.

Ranking topics by business impactChurn predictionImpact SimulatorAsk AIAI summariesBranch and region scorecardsMap-based KPIsDrill-down to root cause
Ask AISample data
Which topic worsened most in the last 3 months?
Checkout Wait Time: Sentiment Score −14.2 points, 118 reviews. In the Critical Priority quadrant of the Priority Matrix.
n = 118
Priority Matrix
Topic volume and sentiment
Sample data
Opportunity AreaStrengthsKeep WatchingCritical PriorityCheckout Wait TimePrice PerceptionStaff AttentivenessStore CleanlinessProduct RangeParkingReturnsOnline OrdersPromotionsLow volumeVolume shareHigh volume →Sentiment Score+−
Positioned by volume share and Sentiment Score. Critical Priority: high volume + negative.
Competitor Comparison by Topic
Sample BrandCompetitor ACompetitor B
Topics where you trail
Checkout Wait Time−28
Price Perception−17
Returns−12
Strengths
Store Cleanliness+16
Staff Attentiveness+12
Product Range+6
n = 700 reviews · 300 / 200 / 200
04 Act

Every insight becomes the next right action.

Alerts, cases and win-back journeys run on one workflow engine — inside the stack you already run.

Workflow Engine
Run alerts, cases and approvals on one workflow engine.
Closing the Loop
Reply to every customer and employee who gave feedback.
360° Customer & Employee Profile
Every interaction in one profile, with its context.
Real-time alertsCase management with SLAsCritical-level notificationsAnomaly detectionAutomatic scheduled reports
Sample data
Case · Checkout Wait TimeCritical
Negative reviews rising at one store for three days. Opened by an automatic alert.
SLA remaining (4h)
02:41
Assignee
Store Operations
SLA 4hStore
Alert feedSample data
CriticalCheckout Wait Time: sudden rise in negative reviews12 min ago
HighReturns: 1 h left on SLA40 min ago
MediumPrice Perception: weekly Sentiment Score −62 h ago
Native integrations
CRMHRISE-commercePayment & SubscriptionEmail & SMSOpen APIWeb & Mobile SDK

What one platform lets you do — that five tools can't.

1 platform
For customers, employees and research
Chat + voice
Answers from people who never fill in forms
Win-back
From insight to win-back
Day 1
Ready for your market
Every insight shows its sourcesYour team approves every actionRole-based access to personal data

Request a free audit report for your brand.

A Customer Experience Scorecard built from the latest 700 Google reviews of your brand and 2 competitors: 300 for your brand, 200 for each competitor.

Report previewSample data
1 / 7
Combined score & competitor scorecard
Sample Brand72
Competitor A64
Competitor B58
2 / 7
Top 3 topics where a competitor leads
Checkout Wait Time−28
Price Perception−17
Returns−12
3 / 7
Priority Matrix
4 / 7
Persona distribution
Price-driven34%
Experience seeker27%
Quick-fix seeker22%
Loyalist17%
5 / 7
Branch heatmap
6 / 7
Response rate & time
64%
Response rate
8.4 h
Avg. response time
7 / 7
Sample review analysis
★★☆☆☆
+3 modules: Persona distribution · Branch heatmap · Response rate & time

Fictional example built with Sample Brand, Competitor A and Competitor B. Swipe to see all 7 modules.

Prepared from public data. Privacy Policy

Customers

Doğanlar Mobilya

How Doğanlar Mobilya lifted NPS by 34 points across five furniture brands

Over 24 months
+34
overall
+38
sales
+36
after-sales
+24
delivery
“Our actions in response to the insights gained from these studies provided tangible benefits to both profitability and customer loyalty.”
CX Director, Doğanlar Mobilya
Read the story →
Yves Rocher

How Yves Rocher lifted e-commerce NPS by 36 points

Over 18 months
+36
NPS points · e-commerce
+18
NPS points · stores
220K
responses
Awards
2021 · The Hammers — From Voice to Action
2022 · Contact Centre Awards — Best business intelligence, data analytics and reporting
Read the story →

Close the loop on every customer you can still keep.

See your own channels unified in a 30-minute walkthrough with our team.

Cloud4Feed Demo Walkthrough

30 minutesGoogle MeetTime zone: Istanbul (GMT+3)