A Marketer’s Guide to Quantitative Research

Quantitative research measures people’s behaviours, attitudes and choices at scale, using robust samples and statistical analysis so that businesses can act with confidence. That much hasn’t changed. What has changed is how it’s done. Modern quantitative research methods no longer rely on long surveys alone. They combine survey data with other data sets, use shorter and more engaging questionnaires, and draw on behavioural economics to capture the fast, instinctive reactions that drive real decisions, not just the reasons people give afterwards. Tools such as timed responses, image-based questions, facial imaging and eye tracking are now practical and cost-effective. The result is quant that tells the consumer story in the numbers, rather than just counting answers.

What is quantitative research, really?

The textbook definition is numerical analysis of data, usually from surveys, used to understand customers and shape marketing decisions. The building blocks are familiar: questionnaires, representative samples, robust data, number crunching and significance testing.

But good quant is more than that. The way we describe it:

• It’s the consumer story in the numbers.
• It’s the ability to paint with numbers.
• It’s the measurement of consumer truths.
• It’s the ability to link what people actually do to what they think and feel.

That last point is where quantitative research is heading.

How is quantitative research changing?

Businesses now understand people through multiple data sets, so the definition of quant is widening. It’s no longer just about survey data, but about how surveys complement behavioural, transactional and digital data to reveal the many “consumer truths” in a market.

Different data-capture techniques suit different moments in the purchase journey:

• Surveys are best for typical behaviours and attitudes
• Mobile diaries are best for recent behaviours, captured close to the moment
• Passive tracking is best for minute-by-minute actual behaviour

Combining them lets you map people’s mindsets across the journey, which is where customer journey mapping and quant start to work together.

How long should a market research survey be?

Shorter than most are. Attention spans are shorter and people are busier, and data quality suffers when respondents are bored. Gone are the days when you could expect someone to give thoughtful answers for 30 minutes or more.

As researchers, we need to unlearn habits that date back to the 1950s: long grids, the same question asked many times, and wording that reads like a form. If your survey runs longer than 15 minutes, the answer isn’t to push respondents harder. It’s to find a better way to ask.

Why can’t people just tell you why they chose something?

Because much of what drives choice happens below conscious reasoning. Behavioural economics describes two modes of thought: fast, instinctive, emotional responses (often called System 1) and slow, deliberate reasoning (System 2). Emotional reactions are closely tied to how people form opinions and make purchase decisions.

Traditional survey research mostly taps the slow, reasoning mode, because:

• it can’t pick up non-verbal cues
• it relies heavily on words and numbers rather than visual stimulus
• self-reporting asks people to rationalise choices that often weren’t rational
• long, repetitive questionnaires dull instinctive responses

The result can be tidy data that explains what people say rather than what they do.

How do you measure emotion in surveys?

There are now many quantitative techniques that reach the fast, instinctive mode:

1. Shorter surveys with timed responses, so people answer on instinct rather than deliberation
2. Image-based questions, not just text, including Ruby Cha Cha’s emotional Facial Expression cards, which can be built into standard surveys
3. Provocation boards with time-limited responses
4. Observation, such as facial imaging through webcams, which can be added to online surveys at minimal extra cost
5. Physiological measures, such as skin conductance, eye tracking and neural responses
6. Emerging tools, including AI, VR and wearable technology, which are developing rapidly

Most of these are ready to use now and cost-effective. They work best alongside qualitative research, which explains the why behind the instinctive reactions.

Ruby Cha Cha’s take: Measure the feeling before the thinking

Our rule of thumb: capture the instinctive reaction first, then ask people to explain it. Once a respondent starts reasoning about a brand or an idea, they rarely go back to their gut response. So we sequence questionnaires deliberately: fast, emotional and visual measures up front, considered and rational questions after.

And we hold ourselves to the 15-minute rule. If a survey needs more time than that, the problem is the questions, not the respondents. Redesigning the questions almost always produces better data than adding more of them.

 

Where can emotional quantitative research make a difference?

Measuring how people feel, not just what they say, sharpens decisions across the marketing mix:

• Concept testing: spotting which ideas create genuine appeal, not just polite approval
• Ad testing: measuring emotional connection and cut-through, not only recall
• New product development (NPD): prioritising ideas with product development research that reflects how people will actually choose
• Customer satisfaction and journeys: finding the emotional pain points in customer experience research
• Brand positioning and brand health: tracking how people feel about a brand over time through brand health and tracking, and testing brand positioning

For marketing leaders, the payoff is confidence: decisions based on numbers that reflect real-world behaviour, not just considered answers in a survey.

Frequently asked questions

What are modern quantitative research methods?

Modern quantitative research combines surveys with other data sets, such as mobile diaries and passive tracking, and uses shorter, more engaging questionnaires. It draws on behavioural economics to measure instinctive and emotional responses, using tools like timed questions, image-based scales, facial imaging and eye tracking.

How long should a market research survey be?

Ideally 15 minutes or less and less is more. Longer surveys lead to fatigue and poorer data quality. If a survey needs more time, redesign the questions so they’re faster and more engaging rather than adding length.

How do you measure emotion in surveys?

Use techniques that capture instinctive reactions before rational ones: timed responses, image-based questions such as facial expression cards, webcam facial imaging and physiological measures such as eye tracking. Ask the emotional questions first, then the rational ones.

Why use behavioural economics in survey design?

Because people often can’t accurately explain their own decisions. Behavioural economics helps design questions that capture fast, intuitive reactions, which are closer to how people actually choose in the real world.

Ruby Cha Cha is a boutique market research consultancy in Surry Hills that puts the consumer story into the numbers. If your surveys feel long, tired or too rational, our quantitative research consultants can help you find a better way to ask.Get in touch to talk it through.