MKT201 Sales And Marketing

Sales And MarketingUnit 28 min read

Consumer Behavior & Market Segmentation: Models, Segments & Strategies

Unit 2 of Sales And Marketing explores how consumers think, feel, and act (consumer behavior models like stimulus-response) and how businesses divide markets (segmentation bases like geography, demographics, psychographics) to tailor products—with real-world examples from Nepali brands like Daraz, Nabil Bank, and Himal

TAKEAWAYS:

  • Consumer behavior follows a stimulus-response model where marketing inputs (ads, pricing) trigger emotional/cognitive reactions leading to purchase decisions.
  • Market segmentation splits heterogeneous markets into homogeneous groups (e.g., Daraz’s rural vs. urban shoppers) using 4 bases: geographic, demographic, psychographic, and behavioral.
  • Proactive marketing (predicting trends) vs. reactive marketing (responding to demand) drives strategy—e.g., Nabil Bank’s digital loan apps vs. traditional branch services.
  • Target markets are selected using the STP framework (Segmentation → Targeting → Positioning), like Pathao’s focus on youth in Kathmandu vs. elderly in Pokhara.
  • Consumer decision-making involves 5 stages: problem recognition → information search → evaluation → purchase → post-purchase behavior (e.g., a tourist choosing between Himalayan Java vs. Starbucks).
  • Segmentation requirements include measurability, accessibility, substantiality, and actionability—critical for brands like Chaudhary Group’s targeted promotions.

1. Consumer Behavior: The Psychology Behind Purchases

Consumer behavior studies why, when, how, and where people buy products/services. It blends psychology, sociology, and economics to explain decisions like:

  • Why a Nepali buys Himalayan Java coffee over Nescafé.
  • How Daraz uses discounts to trigger impulse buys during Dashain.
  • Why Ncell offers family plans to appeal to parents (psychographic segmentation).

1.1 The Stimulus-Response Model

flowchart LR
    A["Marketing Stimuli\n(4Ps: Product, Price, Place, Promotion)"] --> B["Consumer Characteristics\n(Culture, Personality, Lifestyle)"]
    B --> C["Consumer Decision Process\n(Need Recognition → Evaluation → Purchase)"]
    C --> D["Response\n(Purchase, Loyalty, Word-of-Mouth)"]
    D -->|"Feedback"| A

How it works:

  1. Stimuli: Marketing inputs (e.g., Khalti’s cashback ads).
  2. Black Box: Consumer’s mind (perception, learning, motivation).
  3. Response: Action (e.g., buying a Nepali-made phone from Ncell vs. Xiaomi).

Worked Example: Why do students prefer Himalayan Java over Starbucks?

  • Stimulus: Marketing highlights "local, organic, and affordable" (vs. Starbucks’ premium pricing).
  • Black Box: Students value ethical sourcing (psychographic) and budget (demographic).
  • Response: Repeat purchases during exams (convenience + taste).

2. Market Segmentation: Dividing the Market Like a Chef’s Ingredients

Market segmentation splits a heterogeneous market into homogeneous subgroups for tailored marketing. Without it, brands like Daraz couldn’t offer rural vs. urban delivery options.

2.1 Bases for Segmentation

Base Example in Nepal How Brands Use It
Geographic Kathmandu vs. rural Chitwan Daraz offers cash-on-delivery in rural areas; e-wallets in cities.
Demographic Age (20–30 vs. 50+), income (₹50K vs. ₹500K) Nabil Bank targets salaried youth (25–40) for digital loans; seniors for fixed deposits.
Psychographic Lifestyle (eco-conscious vs. luxury seekers) Himalayan Java markets to health-conscious millennials; Chaudhary Group targets aspirational middle class.
Behavioral Usage rate (frequent vs. occasional) NTC offers bulk data packs to heavy users; discounts to occasional buyers.

2.2 Requirements for Effective Segmentation

For segmentation to work, it must be:

  1. Measurable: Data must be quantifiable (e.g., Daraz tracks rural vs. urban orders).
  2. Accessible: Can the brand reach the segment? (e.g., Pathao targets Kathmandu youth via Facebook ads).
  3. Substantial: Profitable enough (e.g., Nepal Rastra Bank segments SMEs for microloans).
  4. Actionable: Can the brand serve the segment? (e.g., Himalayan Java uses local suppliers for rural areas).

Case Study: Daraz’s Segmentation Strategy

mindmap
  root((Daraz Segmentation))
    Geographic
      Urban: Fast delivery, e-wallet payments
      Rural: Cash-on-delivery, local warehouses
    Demographic
      Youth (18–30): Discounts, trendy products
      Families: Bulk deals, home essentials
    Psychographic
      Price-sensitive: "Deal of the Day"
      Quality seekers: "Premium" section
    Behavioral
      Frequent buyers: Loyalty points
      First-time buyers: Free shipping

Why It Works:

  • Urban areas: Pushes digital payments (Khalti, eSewa).
  • Rural areas: Uses local language ads (Nepali, Maithili) and cash options.

3. Target Market Selection: The STP Framework

After segmentation, businesses choose target markets using STP:

  1. Segmentation: Divide (e.g., Ncell segments by data usage).
  2. Targeting: Pick segments (e.g., Ncell targets heavy data users).
  3. Positioning: Differentiate (e.g., "Best 4G network in Nepal").

Worked Example: Nabil Bank’s Targeting

Segment Targeting Strategy Positioning
Salaried youth Digital loan apps, low-interest rates "Banking for the Modern Nepali"
SMEs Microloans, flexible repayment "Grow Your Business"
Seniors Fixed deposits, branch-based services "Safe and Trusted Investments"

4. Consumer Decision-Making Process

Consumers go through 5 stages before buying (e.g., booking a hotel via Agoda):

flowchart LR
    A["Problem Recognition\n(Need arises)"]
    B["Information Search\n(Internal/External)"]
    C["Evaluation of Alternatives\n(Compare options)"]
    D["Purchase Decision\n(Choose brand)"]
    E["Post-Purchase Behavior\n(Satisfaction/Loyalty)"]
    A --> B --> C --> D --> E

Worked Example: Booking a Hotel in Kathmandu

  1. Need: "Where to stay during Dashain?"
  2. Search: Compare Agoda (cheap), Hotel Everest (luxury), Airbnb (local homestays).
  3. Evaluate: Price, reviews, location (e.g., Thamel vs. Lakshmi Chowk).
  4. Purchase: Book via Khalti for discounts.
  5. Post-Purchase: Leave review on TripAdvisor or return for loyalty benefits.

In the Real World

  1. Daraz’s Segmentation

    • Uses geographic segmentation to offer rural cash-on-delivery while pushing e-wallets in cities.
    • Psychographic targeting: "Deal of the Day" for budget-conscious shoppers; "Premium" section for luxury buyers.
  2. Nabil Bank’s Proactive Marketing

    • Predictive analytics (proactive) identifies high-potential loan applicants before they apply.
    • Reactive marketing: Offers emergency loans during crises (e.g., COVID-19).
  3. Himalayan Java’s Behavioral Segmentation

    • Frequent buyers get loyalty points.
    • First-time buyers get sample packs in cafes.
  4. Pathao’s Target Market

    • Primary target: Kathmandu youth (18–30) via Facebook/Instagram ads.
    • Secondary target: Office-goers with corporate discounts.

Exam Tip

  1. Stimulus-Response Model: Always link marketing inputs (4Ps) → consumer response (purchase/loyalty). Use real examples (e.g., Khalti ads → impulse buys).
  2. Segmentation Bases: Memorize the 4 bases (geographic, demographic, psychographic, behavioral) with Nepali examples (Daraz, Ncell, Himalayan Java).
  3. STP Framework: Explain how a brand picks a segment (e.g., Nabil Bank targets youth for digital loans).
  4. Consumer Decision Process: Use hotel booking or phone purchase as examples for the 5 stages.
  5. Proactive vs. Reactive Marketing:
    • Proactive: Nabil Bank’s predictive loan offers.
    • Reactive: Daraz’s Dashain sale discounts.

Common Mistakes to Avoid:

  • Confusing segmentation bases (e.g., mixing demographic with psychographic).
  • Forgetting requirements for segmentation (measurable, accessible, etc.).
  • Not linking theory to Nepali brands (examiners love real-world ties!).

Based on the TU BHM syllabus for Sales And Marketing (MKT201), unit 2.

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