PP / Market Sensing

21 important questions on PP / Market Sensing

How is market sensing implemented?

Be continuously up to date with the needs, developments and trends in the market

Name 5 activities of market sensing

1. Internet usage
2. Buying on the internet
3. Use of social media
4. Online consumer behaviour
5. Relevant trends

Why do people buy on the internet?

- convenience
- greater variety
- cheaper goods
- accessibility
- comparability
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Why do people NOT buy on the internet?

- security concerns
- not being able to physically inspect it
- damage during transport
- late or no delivery
- concerns about what retailers do with your personal information and shopping behavioral data

Why do people research online and buy it in store?

- Immediate take out
- personal contact
- no shipping costs

Why do people orientate in a store but buy online?

- lower price
- convenience
- less choice due to smaller range of products
- limited opening hours

What factors must be considered when determining if someone buys online?

1. Value
2. Ease of use
3. Experience
4. Social factors
5. Entertainment gratification
6. Internet irritation
7. Emotional state

What are the 5 types of shoppers?

1. Store-focussed shoppers - rather buys in physical store


2. Pragmatic online shoppers - Consults many online sources, buys online / average use of mobile devices

3. Thorough online shoppers - always buys from online store / uses mobile device more than average

4. Multiple touchpoint shoppers - usually buys online / high mobile use

5. Online to offline shoppers - purchases are always made in the physical store or local retailer / average mobile use

What are the 3 types of social media users and what are their motivations for brand-related activities

User type - types of motivations
Consumption - information, entertainment, reward
Contribution - integration, social interaction, entertainment
Creating - personal identity, entertainment

What are the 6 phases of the online purchase process of a product or service?

1. Need recognition/acknowledgement of needs
2. Seeking information
3. Evaluation alternatives and product selection
4. Choice of sales channel
5. Purchase
6. Result

Define need recognition, the first phases of the online purchase process

Happy customers are often loyal customers
Loyal customers recommend you to others and return to you to buy more

What are the different factors influencing loyalty? 8C model

1. Customization
2. Contact interactivity
3. Cultivation
4. Care
5. Community
6. Choice
7. Convenience
8. Character

What are the 6 elements of the Marketing funnel?

1. Visiting - number of visitors
2. Captivating - more than 1 page viewed
3. Deciding - search module used
4. Ordering - click order button
5. Paying - payed
6. Binding - returning customer

Use online market research to understand customer

- ask questions
- track and register online behaviour
- create a dialogue
- observe

How;
- questionnaires
- une online panels, customer databases

Traditional principles of market research also apply to online market research (population, sampling, validity, reliability, accuracy, size of the cross-selection)

What are a few tactics for online research?

- eyetracking
- mousetracking
- online focus groups
- online communities
- Online website measurement
- Pixel technique
- Blogs and social media analyses
- Mobile research
- Neuroscience

Define the term 'Big Data'

Data we collect from customers in a passive way as the log in, click, search and buy

What are the 3 V's of Big Data

Volume; the quantity of data
Velocity; the speed with which data is sent and retrieved
Variety; the diversity of data

Complexity; being able to process large amounts of data, (distributed processing)


Descriptive analytics
How do you use Big Data?

Provide insight into what has occurred

- Reporting
- Profiling
- Web analyses
- Social listening
- Social network analyses

Diagnostic analytics
How do you use Big Data?

Understanding by consumers behaved as they did in order to benefit from these insights for the future


- Migrations analysis
- Customer segmentation
- Basket analysis
- Attribution analysis
- Customer journey analysis

Predictive analytics
How do you use Big Data?

Predicting individual customer's future behavioral in order to be able to act on these predictions and increase customer value

- Customer Lifetime Value analysis
- Churn reduction modelling
- Attribute modelling
- Integrated bid data models

Prescriptive analytics (data science)
How to you use Big Data?

Not only make predictions but also recommendations in marketing communication activities based on the predictions


- Dynamic targeting
- Recommender / Personalisation systems

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