No Surveys Required

Every Conversation
Tells a Story

Measure satisfaction from every customer message automatically.
No surveys required.

100% coverage
Every conversation analyzed
82% accuracy
Validated on pilot
$0.12/ticket
10x cheaper than manual QA

The Problem

  • CSAT surveys: 2% response → decisions on incomplete data
  • Manual QA: sample-based → patterns missed in 95% of tickets
  • Quarterly reports → reactive, not proactive support management

The Solution

  • 100% conversation coverage → decisions on complete data
  • Next-day insights → proactive, not reactive management
  • Evidence-based coaching → targeted development, not mass training

TRUSTED BY SUPPORT TEAMS

82%
Accuracy Rate
100%
Coverage
★★★★★

"Finally see real customer satisfaction without surveys. iCSI surfaces issues before a customer churns."

A
Anna L.
Head of Support, EdTech
★★★★★

"The analysis showed which tickets to automate—huge for roadmap planning. ROI paid back in the first month."

D
Dmitry K.
Product Manager, SaaS
★★★★★

"Development guidance with real quotes saves hours on reviews. Agents instantly see what to improve."

M
Maria V.
QA Lead, FinTech

Proven Results

Based on analysis of real support tickets

82%
Accuracy (expert-verified assessments)
100%
Coverage (vs 2% surveys)
$0.12
Cost per ticket

Key Insights from Pilot

What We Discovered

  • • 60% of tickets violated SLA
  • • 44% of tickets needed attention (iCSI < 60%)
  • • Top issue: missing documentation
  • • Agent tone consistently professional

Business Impact

  • • Significant time saved on QA screening
  • • Early churn signal detection
  • • Data-driven roadmap priorities
  • • Automated coaching recommendations
The Only All-in-One Solution

Why Aperio is Different

Competitors focus on one dimension. We give you the complete picture: CSAT + Agent Development + Automation in a single platform.

1. Metrics

Implicit Customer Satisfaction Index (iCSI) from every ticket without surveys. 100% coverage instead of 2%.

Before: surveys give 2% coverage, responses take a week
Now: 100% ticket analysis, results next day
💡
Why it matters:
• See every failure on incident day
• Churn risk detection in 24 hours
• Patterns instead of one-off cases

2. Employee Development

Comprehensive quality review + targeted coaching plans with evidence from real conversations.

Before: manual QA of 5-10% tickets, generic monthly feedback
Now: every ticket with KEEP/START/STOP recommendations
💡
Why it matters:
• Specific quotes instead of vague feedback
• Data-driven coaching, not opinions
• Track agent progress week by week

3. Signals

Root causes, customer pain points, request patterns. See what concerns customers and where to focus efforts.

Before: scattered information, unclear where to focus efforts
Now: root causes and patterns for each problem type
💡
Why it matters:
• Prioritize by frequency and impact
• See systemic issues, not symptoms
• Data-driven improvement roadmap

Get All Three in One Platform

Why pay for three separate tools when Aperio delivers everything at $0.12/ticket?

Strategic Insights

Data-driven decisions for customer interactions

Make Decisions on Complete Data, Not 2% Samples

Analyze 100% of customer interactions automatically. No sampling bias, no guesswork. See the full picture of service quality.

  • ✓ Every conversation measured (vs 2% survey response)
  • ✓ Satisfaction scores with evidence (quoted messages)
  • ✓ Trends across all agents, all channels
  • ✓ Daily insights, not quarterly reports

Coach Agents with Evidence, Not Intuition

Every recommendation backed by actual conversation quotes. Targeted development plans (KEEP/START/STOP) with proof.

  • ✓ Individual coaching plans per agent
  • ✓ Quoted examples from real conversations
  • ✓ Focus training on actual gaps, not assumptions
  • ✓ Track improvement over time

Product Roadmap Driven by Customer Pain, Not Opinions

Aggregated root causes from all tickets. See what frustrates customers most — by volume, not by who shouts loudest.

  • ✓ Top pain points ranked by frequency
  • ✓ Configuration issues and feature requests
  • ✓ Real customer language, not filtered feedback
  • ✓ Integration with product backlog tools

Spot At-Risk Customers Before They Leave

Low satisfaction scores + repeat issues = churn risk. Automated alerts when customer health deteriorates.

  • ✓ Low iCSI score warnings (< 40% threshold)
  • ✓ Repeat issues with same customer tracked
  • ✓ Escalation patterns detected
  • ✓ Proactive intervention opportunities

Find Where SLA is Met But Customers Are Unhappy

Speed metrics look good, but customers churn? Discover gaps between formal SLA and actual satisfaction.

  • ✓ SLA-compliant but low-satisfaction tickets flagged
  • ✓ Quality vs response time correlation
  • ✓ Hidden dissatisfaction despite "green" metrics
  • ✓ Process improvements based on real experience

Identify Which Conversations to Automate — With ROI

Pattern detection for repetitive issues. Prioritize automation by volume and complexity, not guesses.

  • ✓ Common patterns ranked by frequency
  • ✓ Automation readiness scoring (simple vs complex)
  • ✓ Estimated savings per automation
  • ✓ Integration with bot/knowledge base tools

Why Aperio Wins

Compare approaches to customer satisfaction measurement

Feature
Aperio
CSI Surveys Manual QA
Coverage 100% 2% 5-10%
Delivery time 1 day 1-7 days 3-5 days
Actionable insights
Agent coaching
Automation opportunities
Setup time 48 hours 1-2 weeks 2-4 weeks

Bottom line: Aperio delivers 50× more data at a fraction of manual QA’s cost

See It In Action →

How It Works

Simple integration, powerful insights

1

Upload Tickets

Choose your preferred method:

  • • CRM/ticketing system integration
  • • Auto-export to S3/SFTP/Google Drive
  • • Web interface upload
  • • Email submission
2

AI Analysis

AI analyzes conversation tone and outcome, generating implicit satisfaction scores (iCSI) with evidence from actual messages.

3

Quality Check

Automated QA validates results. Outliers flagged for human review (24% of tickets).

4

Insights Ready

Dashboard and reports delivered next morning. Slack alerts for critical issues (low satisfaction, repeat problems).

What You Get

📊 Dashboard

Monitor support health in real-time

  • • iCSI trends over time
  • • Agent performance ranking
  • • Root cause breakdown
  • • SLA vs satisfaction gaps

📄 Reports

  • • Daily summary (text + charts)
  • • CSV export for analysis
  • • SQLite database access
  • • Metabase dashboard

🔔 Alerts

  • • Low iCSI warnings (< 40%)
  • • SLA violations
  • • Repeat customer issues
  • • Slack/Email notifications

Two Solutions for Different Needs

SaaS for fast start or Private Cloud for maximum security

SaaS

Pay-per-use pricing. We use public LLM APIs with zero retention policy — data not stored or used for training.

  • Launch in 48 hours
  • Per-ticket pricing ($0.12/ticket)
  • Zero retention — we don't store tickets
  • HTTPS encryption
Coming Soon

Private Cloud

Dedicated solution with local models. Data never leaves your infrastructure and doesn't reach public APIs.

  • Fixed pricing (higher than SaaS)
  • Local models (Llama, Qwen)
  • Data never leaks to public APIs
  • Maximum data security

Data Security

Tickets not stored after processing
Only analysis results (iCSI, recommendations) — tickets themselves are deleted
HTTPS encryption
All data transfer over secure connection
Private Cloud — complete isolation
Data never reaches public APIs, processed only by local models

Which solution is right for you?

We'll explain SaaS and Private Cloud in detail and help you choose the optimal option.

Discuss solution →
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