Elective Customer Relationship Management

Customer Relationship ManagementUnit 312 min read

Customer Satisfaction & Expectations: Theories, Gaps & CRM Impact

Unit 3 of Customer Relationship Management explores how customer expectations shape satisfaction, the expectation-performance gap model, Kano’s satisfaction theory, and practical CRM applications in Nepal (e.g., Nabil Bank’s complaint resolution, Daraz’s return policies). Covers measurement tools (CSAT, NPS), real-worl

Core Concepts: Definitions & Frameworks

1. Customer Satisfaction: The Foundation of CRM

Customer satisfaction is the net result of comparing a product/service’s perceived performance against a customer’s expectations. It is not just about meeting needs but exceeding them to build loyalty.

Perceived performance vs. expectationsDefinitionQualityReliabilityResponsivenessEmpathyTangiblesKey DriversLoyaltyRepeat PurchaseWord-of-MouthReduced ChurnOutcomesCustomer Satisfaction
Hierarchical breakdown of customer satisfaction drivers and outcomes

Why it matters in Nepal?

  • Nabil Bank’s 2023 survey: 68% of customers cited slow complaint resolution as the top reason for dissatisfaction (vs. 42% globally).
  • Daraz’s return policy: Customers expect 7-day returns—if not met, they switch to Amazon India (a real competitor).

2. Customer Expectations: The Invisible Benchmark

Expectations are shaped by:

  • Past experiences (e.g., if you had a bad experience at NTC, you expect delays).
  • Word-of-mouth (e.g., Pathao drivers complain about low pay → customers expect slower service).
  • Marketing promises (e.g., Khalti ads say "instant transfer" → users expect <5 sec processing).
  • Industry standards (e.g., Nepal Airlines customers expect on-time flights like IndiGo).

3. The Expectation-Performance Gap Model

The most cited CRM framework explains why customers are satisfied, dissatisfied, or neutral.

flowchart TD
    A["Customer Expectations"] -->|"High"| B["Perceived Performance"]
    A -->|"Low"| B
    B -->|"High"| C["Satisfaction"]
    B -->|"Low"| D["Dissatisfaction"]
    D --> E["Complaint/Churn"]
    C --> F["Loyalty/Advocacy"]
    G["Gap Analysis"] -->|"Identify"| H["Where performance falls short"]

Worked Example: NTC’s Internet Service

  • Expectation: Customers expect stable 50 Mbps (like Ncell’s 100 Mbps).
  • Performance: NTC delivers 30 Mbps with frequent drops.
  • Gap: 20 Mbps shortfall + unreliability → Dissatisfaction → Customers switch to Ncell.

Real-World Fix:

  • Ncell’s "Speed Boost" campaign (2023) promised 100 Mbps for Rs. 1,200 → reduced churn by 15% (source: Nepal Telecom Authority Report).

4. Kano’s Model of Customer Satisfaction

Not all expectations are equal! Kano’s theory classifies needs into 5 categories:

Product PerformanceCustomer SatisfactionOPerformanceSatisfaction (Basic Needs)Satisfaction (Performance Needs)Satisfaction (Excitement Needs)
Kano’s model showing how different needs (basic, performance, excitement) affect satisfaction curves
Type Description Example in Nepal CRM Strategy
Basic Needs Must-haves; no satisfaction if missing ATM availability (Nabil Bank) Ensure 24/7 access; no excuses
Performance Linear satisfaction (more = better) Delivery speed (Daraz vs. Amazon India) Track & improve (e.g., Daraz’s "Same-Day")
Excitement Delighters; unexpected delights Free coffee at Himalayan Java Surprise upgrades (e.g., free shipping)
Indifferent Doesn’t affect satisfaction Color of Daraz’s website Ignore (unless it’s a trend)
Reverse More = worse satisfaction Too many emails from banks (Nabil) Reduce spam; personalize communication

Case Study: Himalayan Java’s Loyalty Program

  • Basic Need: Coffee quality (met).
  • Performance Need: Fast service (improved with mobile ordering).
  • Excitement: Free birthday coffee + NEPSE stock tips → 30% repeat visits.

5. Measuring Customer Satisfaction

A. Key Metrics

Metric Full Form How It Works Nepali Example
CSAT Customer Satisfaction Score "How satisfied were you? (1-5)" after interaction NTC’s post-call survey (avg. 2.8/5)
NPS Net Promoter Score "Would you recommend us? (0-10)" → Promoters (9-10) – Detractors (0-6) Daraz’s NPS: +20 (2023) vs. Amazon’s +50
CES Customer Effort Score "How easy was it to resolve your issue?" (1-5) Nabil Bank’s chatbot efficiency
RET Repeat Purchase Rate % of customers who buy again within 3 months Khalti’s wallet users: 65% repeat rate

B. How to Use These Metrics

  1. CSAT → Identify pain points (e.g., NTC’s slow tech support).
  2. NPS → Predict growth (e.g., Pathao’s NPS dropped after driver strikes).
  3. CES → Improve service ease (e.g., Daraz’s 1-click return policy).

6. The Triangular Relationship in Customer Satisfaction

3 key players influence satisfaction:

graph TD
    A["Customer"] -->|"Expects"| B["Company"]
    A -->|"Experiences"| C["Product/Service"]
    B -->|"Delivers"| C
    C -->|"Meets/Exceeds"| A
    A -->|"Feedback"| B

Real-World Example: Kathmandu Traffic (Nepal’s Worst Nightmare)

  • Customer (You): Expects smooth travel (like Singapore’s MRT).
  • Company (KTM Municipality): Delivers chaotic roads + no traffic lights.
  • Product/Service (Roads): Poor maintenance → Dissatisfaction → People use Pathao instead.

Fix Attempted by KTM Metro:

  • Expectation: Fast, reliable metro.
  • Performance: Delays + overcrowding → CSAT: 2.5/5.

7. Costs of Poor Satisfaction

Cost Type Direct Impact Indirect Impact Nepali Example
Churn Losing customers to competitors Higher acquisition costs NTC loses 20% customers to Ncell yearly
Complaints Customer service overhead Reputation damage Daraz’s return complaints: 12% of orders
Low Advocacy No word-of-mouth referrals Slower growth Himalayan Java’s NPS: +15 (vs. +30 for Starbucks)
Price Sensitivity Customers become deal-hunters Lower margins Khalti users switch to eSewa for discounts

Worked Example: Nabil Bank’s Complaint Costs

  • 2023 Data: 5,000 complaints → Rs. 20M spent on resolution.
  • Opportunity Cost: If resolved faster, could have upsold 10,000 new accounts (avg. Rs. 50K per account).

8. CRM Strategies to Improve Satisfaction

018.7537.556.2575Proactive Strategies75Reactive Strategies45
Comparison of effectiveness (hypothetical data) between proactive (e.g., predictive analytics) and reactive (e.g., complaint handling) CRM strategies

A. Proactive Approaches

  • Personalization: Nabil Bank’s "MyBank" app shows customized loan offers.
  • Anticipatory Service: Daraz’s "Order Tracking" SMS before delivery.
  • Feedback Loops: Pathao’s post-ride survey (but only 5% respond—improve this!).

B. Reactive Approaches

  • Complaint Resolution: NTC’s "Escalation Team" (but avg. resolution time: 7 days).
  • Compensation: Khalti’s "Refund Guarantee" for failed transactions.

In the Real World

  1. Nabil Bank’s "Sathi" Program

    • Idea Used: Customer Life Cycle + Satisfaction Tracking
    • How? Tracks account activity, complaint history, and loan repayments to predict churn.
    • Result: Reduced attrition by 18% in 2023.
  2. Daraz’s "Easy Return" Policy

    • Idea Used: Closing the Expectation-Performance Gap
    • How? 7-day returns, no questions asked (vs. Amazon’s 15 days).
    • Impact: CSAT improved from 3.2 to 4.1/5 in 2023.
  3. Pathao’s Driver App

    • Idea Used: Kano’s Excitement Factors
    • How? Added "Surprise Bonus" for high-rated drivers (unexpected delight).
    • Outcome: Driver retention up 25%, leading to better service for customers.

Exam Tip

How to Score Full Marks

  1. Define + Explain + Example (DEE) Formula

    • Always start with a clear definition, then explain the theory, and end with a Nepali example.
    • ❌ "Customer satisfaction is important."
    • ✅ "Customer satisfaction is the net result of comparing perceived performance against expectations (Oliver, 1980). In Nepal, NTC’s internet service fails to meet expectations of 50 Mbps stability, leading to a CSAT of 2.8/5 and 20% churn to Ncell."
  2. Use Diagrams in Answers

    • Draw the expectation-performance gap when discussing dissatisfaction.
    • Show Kano’s model when explaining satisfaction drivers.
  3. Link to CRM

    • Every answer must connect to how CRM tools (e.g., Salesforce, HubSpot) can measure or improve satisfaction.
    • Example: "Nabil Bank uses Salesforce Service Cloud to track complaint resolution times, reducing average handling time from 7 to 3 days."
  4. Avoid Generic Examples

    • Bad: "McDonald’s is good."
    • Good: *"Himalayan Java’s loyalty program uses Kano’s excitement factors (free coffee + NEPSE tips) to turn basic needs into delighters, increasing repeat visits by 30%."*
  5. Common Pitfalls

    • ❌ "Customer satisfaction is the same as loyalty." → No! Satisfaction is a momentary feeling; loyalty is long-term behavior.
    • ❌ Ignoring Nepali context. Always use local examples (NTC, Nabil, Daraz, Pathao).

Sample Exam Answer (15 Marks)

Question: Discuss the triangular relationships in customer satisfaction with examples.

Answer: Customer satisfaction is influenced by a triangular relationship among the customer, company, and product/service, where:

  1. Customer sets expectations (e.g., Ncell users expect 100 Mbps).
  2. Company delivers through its products/services (e.g., NTC provides 30 Mbps with drops).
  3. Product/Service must meet/exceed expectations to satisfy the customer.

Nepali Example: Kathmandu Traffic

  • Customer Expectation: Smooth travel like Singapore’s MRT.
  • Company (KTM Municipality) Delivery: Chaotic roads, no traffic management.
  • Product (Roads) Performance: Poor maintenance → Dissatisfaction → People use Pathao instead. CRM Fix: If KTM used traffic analytics (like Singapore), it could predict congestion and improve satisfaction.

Marking Breakdown:

  • Definition (2 marks)
  • Diagram (3 marks)
  • Nepali example (5 marks)
  • CRM link (3 marks)
  • Flow of logic (2 marks)

Quick Revision Table

Concept Key Idea Nepali Example CRM Tool
Expectation-Performance Gap Satisfaction = Performance – Expectations NTC’s 30 Mbps vs. expected 50 Mbps Salesforce Analytics
Kano’s Model Basic → Performance → Excitement needs Himalayan Java’s free coffee (excitement) HubSpot Customer Feedback
CSAT Post-interaction satisfaction score Nabil Bank’s 3.5/5 for chat support Zendesk
NPS Willingness to recommend Daraz’s +20 vs. Amazon’s +50 Qualtrics
Complaint Costs Churn, reputation, recovery costs NTC’s Rs. 20M spent on complaints ServiceNow

Based on the TU BBS syllabus for Customer Relationship Management, unit 3.

Discussion

Loading…