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CONSUMER RESEARCH

studying Consumers

What is it

The process and tools

50%

of your processes

of your people

what do we study?

1. Influence

2. Process

intro

influence

influence

any decision making is rooted in inner motivations, orientations, movements of the person who makes the decision as well as the outside forces that makes influence in that decision.

ad influence

ad

Topic

ad & influence

Every ad is produced by a serious research into trends in and tendencies of a consumer

research

Longitudinal research

Following consumers over a long period of time looking constancy and patterns of behaviour

long

process

Study how consumers select and choose a product or a service

--------

X (formely Twitter) Insiders – Twitter recently launched Insiders, a 30,000 strong focus group of US & UK Twitter users.

process

analytics

analytics

Google Analytics – Analytics can be used to tell you where your traffic is coming from.

The Audience tab shows geography, interests, and a range of demographics.

trends

Google trends –

Google Trends can help you to understand if a topic is becoming more or less popular.

social media

trends 1

Social media –

Millions of people reflect their lives on social media, so information that can enrich several strands of consumer behavior can be uncovered with the right tools.

insights

Sentiment analysis – Understand the sentiment about your brand or product, and how that changes in different demographics.

structure

need

1. need

2. search

3. alternatives

4. purchase

5. disuse/reuse

Live Project

1. choose a product or service

2. decide what influence you would be studying

3. what method and methodology you would be employing

4. sample size 200

5. develop a questionnaire and get it vetted

6. deadline and other details

LP

The Pyramid of Consumer Behaviour

The Pyramid of Consumer Behaviour - Interdisciplinary Research

  • The disciplines are characterized in terms of their focus.

  • The fields closer to the top of the pyramid concentrate on the individual consumer

  • Those towards the base are more interested in the collective activities that occur among the larger groups, such as consumption patterns shared by members of a culture/subculture

Two Perspectives on Consumer Research

Positivism

  • Emphasizes the objectivity of science and the consumer as a rational decision maker

  • Society exerts influence on its members

  • Quantitative data

  • Objectivity

  • Surveys, questionnaire, scientific experiments

Interpretivism

  • The idea that any behaviour is subject to multiple interpretations rather than to one single explanation

  • Our actions are the results of our own meanings, not external forces

  • Qualitative data

  • Subjective meaning

  • Interviews, observations, ethnography

Two Perspectives on Consumer Research

Hermeneutics

study of meaning that one gives to products

hermeneutics

symbolic interactionism

This perspective relies on the symbolic meaning that people develop and build upon in the process of social interaction.

meaning systems

subjective

The subjective meanings that people impose on objects, events, and behaviors.

meaning

m

Subjective meanings are given primacy because it is believed that people behave based on what they believe and not just on what is objectively true.

  • Consumer behaviour is thought to be socially constructed through human interpretation.

Consumer Research Process

The Consumer Research Process

Consumer Research Methods

Methods

Depth Interviews

Depth Interviews

  • Involves one respondent & one interviewer - one-on-ones

  • Detailed probing for needs, desires, motives, and emotions of the consumer which are likely to be of highly confidential

  • Interview results are intrepreted subjectively

  • Key factor with depth interviewing is the interviewer's skill

Observation

participant Observation

  • Used when the behaviours of interest are; public, repetitive, frequent or predictable, covering a relatively brief time span

  • Successful in obtaining certain types of behavioural information as customers do not realize that they are subjects and then change their normal behaviour

  • Examples;
  • cameras in retail store - observe shopper's behaviour
  • eye movement tracking - aspects attracting attention
  • eye pupil dilation - emotionally arousing aspects

Experiments

  • Involves changing one or more variables (product features, color) and observing the effect the change has on another variable (customer attitiude, repeat purchase, behaviour, learning)

  • Logic is since only the manipulated variable is changed, high confidence that it is the cause for any observed changes in the dependent variable

  • Lab experiments yield high levels of internal validity

  • Field experiments establish external validity

Experiments

Surveys

  • Systematic ways of gathering information from a large number of people

  • Involves the use of structured or semistructured questionnaire

  • Survey data collection - techniques are; Personal interviews, telephone surveys, mail surveys and online surveys

Surveys

Focus Groups

  • A qualitative research method in which 8-15 respondents in an unstructured group interview about a product or service concept

  • The group is designed to reflect the characteristics of a particular market segment

  • A moderator guides the discussion allowing participants to interact with each other

  • The primary objective is hypothesis formulation, forming a conjectural statement

Focus Groups

Ethnography Research

  • Ethnography is a research tool borrowed from anthropologists which sees a researcher observing participants in their natural environment, going about their daily lives and rituals.

  • Ethnography methods include direct observation, diary studies, video recordings, photography and artefact analysis such as devices that a person uses throughout the day.

  • There are two methods for observation:
  • Passive observation: also known as ‘shadowing’ is where a user or users are shadowed while they go about their everyday tasks observed by a researcher.

  • Contextual interviews: where the researcher will interact with users while observing them going about their everyday tasks.

Ethnography Research

Consumer Research Measures

Measures

Cognitive Measures:

  • To determine information about consumers knowledge, attitudes, motivations, perceptions and information processing

  • Projective techniques: Research procedures designed to identify consumers’ subconscious feelings and motivations

Motivation research techniques

Motivation research techniques

  • Association techniques

– Word association

– Successive word association

• Completion techniques

– Sentence completion

– Story completion

• Construction techniques

– Cartoon techniques

– Third-person techniques

– Picture techniques

Attitude Measurement Scales

Attitude Measurement Scales

  • Attitudes are frequently measured on specialized scales

  • The scales are termed self reporting because consumers express their own evaluation of thier attitudes

  • Likert Scale

Agree strongly , Agree , Neither Agree Nor Disagree , Disagree ,Disagree Strongly

  • Semantic Differential Scale

Helpful……. Unhelpful

  • Rank-Order scale

snickers Twix M&Ms

semiotics: study of words and discourse

semantics: study of meaning

semiotics

Research trends dominating 2024

Research trends dominating 2020

AI consumer

AI

In 2024, AI will impact marketing by enhancing targeting precision, enabling personalized campaigns, and optimizing strategies based on real-time consumer insights.

AI Tools

ML

There are two main categories of AI tools used for customer behavior prediction;

  • predictive modeling and machine learning.
  • Predictive modeling analyzes patterns in historical customer behavior data, while
  • machine learning utilizes algorithms that learn from patterns in data and continuously improve their accuracy.

Video Analysis

Video Analysis

  • Forecasts predict that 80% of data collection and content will eventually come through video.

  • Efficient storage and analysis of video, the prevalence of smartphone cameras with face-scanning technology, and the use of geotags, will make video analysis become a major facet in consumer research

Voice Technology

Voice Technology will cross the uncanny valley

  • The speech and voice recognition market will be worth USD 31.82 by 2025, as demand for voice-activated systems, voice-enabled devices, and voice-enabled virtual assistant systems like Alexa continues to grow, especially in the e-commerce and food delivery industries

  • Google has refined its AI assistant Google Duplex in such a way that it can now make real phone calls to people and understand the nuances of conversation

Machine Learning will keep on growing

Technology will continue to be the driving force behind the leaps and bounds in consumer research, hoping ethics, privacy, and basic human decency still harness its reins

  • Algorithms help machine learning to stock up experience and take information as lessons to predict consumer behavior like purchases and considering promotions

  • Predictive analytics to analyse the distribution of every item sold in an effort to understand return patterns and behaviour

Machine Learning

Deep Learning Segmentation

Eg: An example of this is in the prediction of a home move. The linear approach says that when a household applies for planning permission they will be staying put. Instead of moving they are concentrating on home improvement. However, if you look at older residents that live in coastal communities the application for planning denotes the total opposite. AI has identified a pattern that says when people in this specific group of householders apply for planning permission they will move house. This is because they will be selling their prime location property to a developer who will be building top spec homes that are currently in demand in areas such as Sandbanks and Harbour Heights in Dorset.

  • A segmentation system that has been enhanced using artificial intelligence to identify patterns that are too complex for human comprehension

  • The more generic the segmentation the less predictive it is of specific behaviours

  • Builds up layers of insight to provide a more accurate view and understanding of consumers

  • Finds patterns that do not have human bias or preconceptions

Deep Learning segmentation

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