Topic 2.3 Notes – Market Research

What Market Research Is and Why Businesses Use It

Market research means collecting detailed information about markets, products, and customer behavior to guide marketing decisions. The point is to replace guesses with evidence. It helps a lot, but it does not remove uncertainty.

A business usually begins with a decision or problem, not random data collection. The real question is something like, “Should we launch this?” or “Why are customers leaving?”

Businesses use market research to decide:

• Whether to pursue a market opportunity if the market looks attractive enough
• Which customers to target because not every customer is equally likely to buy
• What product or features to offer based on what customers value
• How to position the product meaning how to present it in a way that stands out
• How to retain or grow market share as customer needs and competition change

For new products, research checks three different things:

1. Desirability
   Does the product create customer value? This is about problem-solution fit, meaning the product solves a real customer problem.

2. Feasibility
   Can the business actually make and deliver it with its resources, technology, expertise, and time?

3. Viability
   Can the product be profitable in the market?

Those three are easy to mix up, so keep them separate:

• A product can be desirable but not feasible.
• A product can be desirable but not viable.
• A product can be viable on paper but still not desirable to real customers.

For existing products, research helps businesses:

• detect changing customer needs and wants
• find dissatisfaction or why customers stop buying
• identify opportunities for innovation
• monitor competitors and substitutes
• retain or grow market share

Market share is the portion of total market sales earned by one business or product. It can be measured by revenue, units sold, or customers, but you have to stay consistent with the measure.

The Main Building Blocks of Research

Research usually follows a clear flow:

1. Define the decision or problem
2. State a research question or business hypothesis
3. Review secondary-source information
4. Choose primary research methods
5. Identify the population and sample
6. Collect quantitative and/or qualitative data
7. Organize and visualize findings
8. Interpret the evidence and its limits
9. Decide whether to proceed, revise, research more, or stop

Quantitative and qualitative data

Quantitative data is numerical and measurable. It answers how many, how much, how often.

• market size
• survey percentages
• purchase rates
• market share

Qualitative data is descriptive and non-numerical, often in words or images. It answers why and how.

• interview comments
• focus group reactions
• observation notes

The strongest research often uses both. Quantitative data shows the pattern or scale. Qualitative data helps explain the reason behind it.

Business hypotheses

A business hypothesis is a specific assumption about a customer, product, or market.

A weak one is “Customers will like the product.”
That is too vague.

A stronger one is “Downtown office workers who buy takeout at least three times per week will choose a reusable-container option if return is convenient.”

A good hypothesis includes:

• the target customer
• the expected behavior or preference
• the relevant product or market condition
• the evidence needed to support or challenge it

Population and sample

The population is the full group the business wants to understand.
The sample is the smaller group actually studied.

Research gets skewed when:

• the sample is too small
• the wrong people are in the sample
• there is voluntary response bias
• questions are leading or loaded
• an experiment changes multiple variables at once

Secondary and Primary Research Methods

Businesses use both secondary-source and primary-source research.

Secondary-source research

This uses information that already exists from external sources. It is usually the starting point because it is more cost-effective.

Common sources include:

• government publications and databases
• commercial market reports
• academic journals and databases
• trade associations
• competitor websites, reports, product listings, and public filings

It helps assess:

• market size in dollars
• market size in total customers
• trends
• segments
• competitors
• factors influencing customer decisions
• PESTEL factors
  political, economic, social, technological, environmental, legal

When reading secondary research, check:

• who produced it
• why it was produced
• when it was collected
• how the market was defined
• whether it matches the target population and geography

Primary-source research

This is new, first-hand evidence collected for the business’s own question.

The main methods line up with the kind of answer you need, whether that is quantitative data, qualitative insight, or behavior and cause-and-effect.

Primary research methods

• Surveys
  Best for lots of quantitative data from a larger sample. Good for awareness, satisfaction, preferences, and intended behavior.
• Focus groups
  Small-group discussion for in-depth qualitative insights. Good for reactions, concerns, and follow-up discussion.
• Interviews
  One-on-one and deep. Good for motives, decision process, and sensitive topics.
• Experiments
  Change a condition and measure behavior. Best for testing cause and effect more directly.
• Observations
  Watch actual behavior in a natural setting. Good for what customers do, not just what they say.
• A/B testing
  A type of experiment comparing two viable alternatives in a real-world setting.

$$\text{Response rate}=\frac{\text{Number of desired actions}}{\text{Number exposed to version}}$$

Example: compare the sign-up rate for Version A vs. Version B.

Choosing the method is pretty intuitive:

• need opinions from many people → survey
• need detailed explanations → focus group or interview
• need behavior data → observation or experiment
• need comparison of two alternatives → A/B test

How to Interpret Research and Avoid Bad Conclusions

The biggest mistake here is using a method that does not match the decision.

• Opinions are not behavior
• Interest is not purchase
• Blind preference is not brand loyalty

To reduce skew and bias:

• use sufficiently large samples
• make sure the sample reflects the real population
• ask neutral questions
• keep test conditions comparable

Research also has limits:

• findings may be limited, unclear, or contradictory
• customers may say one thing and do another
• markets and competitors can change quickly

New Coke

Coca-Cola did extensive research, including nearly 200,000 taste tests. In blind sip tests, many people preferred the sweeter formula. So Coca-Cola replaced the original with New Coke in 1985.

Customers reacted badly. The original formula returned as Coca-Cola Classic just 79 days later.

What this shows:

• lots of data does not guarantee a good decision
• research can answer the wrong question
• taste preference did not capture brand attachment, habit, identity, and reaction to losing the original
• findings must be interpreted, not obeyed automatically

Data Visualizations and What Each One Shows

Visuals make patterns easier to see and communicate. The chart should match the relationship you want to show.

• Bar chart
  Best for comparing individual categories or data points, like several years of sales for one business or annual revenue for different businesses.
• Stacked bar chart
  Best for comparing totals and the subcategories inside them, like total sales per year plus product-line sales.
• Line graph
  Best for trends over time, like number of customers by year.
• Pie chart
  Best for part-to-whole at one point in time, like market share percentages.

When reading any visual, check:

• what is being measured
• the units used
• biggest and smallest values
• whether it shows a trend, comparison, or composition
• whether the visual actually supports the conclusion
• whether the scale is misleading, especially a truncated axis