Marketing Research Process, Data Types, and MIS for Decision Making

5.1 Introduction to Marketing Research

Marketing research is the systematic identification, collection, analysis, and reporting of data and information relevant to a marketing problem facing an organization. It is not just about "doing surveys"; it is a decision-support tool. Without research, marketing decisions are based on intuition or "gut feeling," which is risky in competitive markets like Nepal.

Why is Marketing Research Needed?

1. Reduce Uncertainty: It helps managers understand consumer preferences, competitor actions, and market trends.
2. Identify Opportunities: It reveals unmet needs (e.g., the demand for digital wallets in Nepal before eSewa and Khalti became dominant).
3. Evaluate Performance: It measures the effectiveness of marketing campaigns (e.g., did the new Ncell ad increase subscribers?).
4. Monitor Environment: It tracks changes in the macro-environment (economic, social, technological).

The Marketing Research Process

The research process is a logical sequence of steps. Skipping steps leads to invalid results.

1. Define the Problem: Is the problem a "problem-solving" type (e.g., sales are down) or an "opportunity-seeking" type (e.g., new product launch)?
2. Develop Research Plan: Decide on data sources, research approaches, instruments, sampling, and contact methods.
3. Collect Information: Fieldwork. This is the most expensive and error-prone stage.
4. Analyze Information: Use statistical tools to interpret data.
5. Present Findings: Report to management in a clear, actionable format.
6. Make Decision: The final goal is action, not just a report.

5.2 Types of Marketing Data

Data is the raw material of research. It is classified into two main categories:

1. Primary Data

Data collected firsthand by the researcher for a specific purpose.

• Advantages: Specific to the problem, up-to-date, exclusive.
• Disadvantages: Expensive, time-consuming, requires expertise.
• Example: A local Nepali startup wanting to know if Kathmandu residents prefer electric scooters over motorcycles conducts a street interview survey.

2. Secondary Data

Data that already exists, collected by someone else for a different purpose.

• Internal Sources: Sales records, customer databases, financial statements.
• External Sources: Government publications (Nepal Census 2021, Nepal Rastra Bank reports), industry associations (Nepal Tea Association), trade journals, internet sources.
• Advantages: Cheap, readily available, broad scope.
• Disadvantages: May be outdated, not specific to the current problem, reliability issues.

5.3 Research Methods and Techniques

Qualitative Research

Used to gain insights into the "why" and "how" of consumer behavior. It is exploratory.

• Focus Groups: A small group (6-10 people) discusses a topic guided by a moderator.
• In-Depth Interviews: One-on-one, unstructured conversations.
• Projective Techniques: Asking respondents to interpret ambiguous stimuli (e.g., "What do you see in this picture?") to reveal subconscious feelings.
• Application: Himalayan Java uses focus groups to test new coffee flavors before launching them in all outlets.

Quantitative Research

Used to quantify the problem and measure the incidence of variables. It is conclusive.

• Surveys: Structured questionnaires (online, phone, face-to-face).
• Observation: Watching consumer behavior without interaction (e.g., counting footfall in a Bhatbhateni store).
• Experiments: Testing cause-and-effect relationships (e.g., A/B testing two different ad designs on Facebook).
• Application: Ncell uses quantitative surveys to measure customer satisfaction scores (CSAT) after a network upgrade.

Comparison of Qualitative and Quantitative Research

5.4 Marketing Information Systems (MIS)

A Marketing Information System (MIS) is a set of people, equipment, and procedures to gather, sort, analyze, evaluate, and distribute needed, timely, and accurate information to marketing decision makers.

MIS is not just research; it is a continuous flow of information. It consists of four subsystems:

1. Internal Records: Data from within the company (sales, inventory, finance).
2. Marketing Intelligence: Ongoing collection of public information about events in the marketing environment (competitor moves, news, trends).
3. Marketing Research: Ad hoc, systematic research for specific problems.
4. Decision Support Systems (DSS): Computer-based systems that help managers analyze data and make decisions (e.g., dashboards showing real-time sales).

How MIS Works in Practice

Imagine a manager at Daraz Nepal.

1. Internal Records: The system shows that sales of "Winter Jackets" dropped by 20% last week.
2. Marketing Intelligence: The system scrapes social media and finds that a competitor launched a "Buy 1 Get 1" offer on jackets.
3. Marketing Research: The manager initiates a quick survey to check if price is the main barrier for customers.
4. Decision Support: The DSS simulates the impact of a 10% discount on Daraz's profit margin.
5. Decision: Daraz launches a targeted discount campaign for the next 3 days.

In the real world

1. Daraz (E-commerce): Daraz uses a robust MIS to track user behavior. If a user searches for "sneakers" but doesn't buy, the system triggers a personalized email with a discount code. This is Marketing Intelligence combined with Decision Support. The data is primary (user clicks) and secondary (past purchase history).
2. Ncell (Telecom): Ncell uses Quantitative Research (surveys) to measure network quality in different districts. They also use Internal Records to track churn rate (customers leaving). If churn increases in a specific area, they investigate local issues (e.g., tower maintenance) using Marketing Research.
3. Himalayan Java (Café Chain): Before opening a new branch in Pokhara, Himalayan Java conducts Qualitative Research (focus groups with local students) to understand preferred coffee types and ambiance. They also analyze Secondary Data (footfall data from the city, competitor locations) to choose the best site. This reduces the risk of opening a loss-making outlet.

Worked Example: Launching a New Product

Scenario: A Nepali startup wants to launch a new organic tea brand in Kathmandu.

Step 1: Define Problem

• Objective: Determine if there is sufficient demand for premium organic tea in the Kathmandu valley.

Step 2: Develop Research Plan

• Approach: Mixed method.
• Qualitative: Conduct 3 focus groups with health-conscious consumers (ages 25-40) to understand perceptions of "organic" and price sensitivity.
• Quantitative: Survey 500 households in Kathmandu to measure current tea consumption habits and willingness to pay a premium.

Step 3: Collect Information

• Focus groups reveal that consumers associate "organic" with "expensive" and "foreign."
• Survey shows 60% of respondents drink tea daily, but only 15% are willing to pay more than NPR 1000 per kg.

Step 4: Analyze Information

• The data suggests a gap: High interest in health, but low price tolerance.
• Competitor analysis (Secondary Data) shows existing organic brands are priced at NPR 1500/kg.

Step 5: Present Findings

• Report recommends: Do not launch as a "premium" brand. Instead, position as "affordable healthy choice" with a price point of NPR 900/kg.

Step 6: Make Decision

• The company decides to launch with a smaller package size (lower initial cost) and a marketing message focusing on "health for all," not "luxury."

Exam tip

• Process Diagrams: Always draw the 6-step Marketing Research Process. Examiners love to see the logical flow from "Define Problem" to "Make Decision."
• Primary vs. Secondary: Be ready to distinguish between these. A common trick question is: "Is a newspaper article about tea consumption primary or secondary?" (Answer: Secondary, because it was not collected by you for this specific study).
• MIS Components: Memorize the four subsystems of MIS (Internal Records, Marketing Intelligence, Marketing Research, DSS). Use the Daraz or Ncell example to explain how they work together.
• Qualitative vs. Quantitative: Know when to use which. If the question asks about "exploring new ideas," use Qualitative. If it asks about "measuring market size," use Quantitative.
• Nepal Context: Always try to link examples to Nepali companies (Daraz, Ncell, eSewa, Himalayan Java) to show local application. This often earns extra marks for practical understanding.