MIS Building Blocks
Primary vs. Secondary
Research Methods
Data in the Wild
Ethics, Bias & Pitfalls
100

The three-letter acronym for a system that gathers, sorts, analyzes, and distributes timely information to marketing decision-makers.

What is an MkIS (or MIS / Marketing Information System)?

100

Data collected firsthand specifically for your current research problem—like sending out your own customer survey.

What is primary data?

100

The most common method for gathering primary quantitative data, often delivered via email, text link, or a code on a store receipt.

What is a survey (or questionnaire)?

100

When you scan your Starbucks or Chick-fil-A rewards app at checkout, your order goes into this type of software that tracks customer interactions and loyalty.

What is a CRM (Customer Relationship Management) system?

100

Asking a survey question like, "Don't you agree our amazing new sneakers are super comfortable?" introduces this flaw.

What is bias (or a leading question)?

200

Sales receipts, inventory counts, and customer billing histories are examples of this type of company data.

What are internal records (or internal data)?

200

Using U.S. Census reports or a published industry article to pick a new store location is an example of using this type of data.

What is secondary data?

200

A moderated group discussion with 6 to 10 target customers to get honest reactions to a new product concept or ad campaign.

What is a focus group?

200

The barcode scanner at a retail cash register captures this real-time sales and inventory data.

What is POS (Point-of-Sale) data?

200

Selling customer email addresses or phone numbers to third parties without permission violates this core ethical principle.

What is customer privacy (or data privacy / consent)?

300

 Unlike one-time research projects, this MkIS component involves the ongoing, everyday monitoring of competitors, industry news, and market trends.

What is marketing intelligence?

300

Between primary and secondary data, this one is almost always faster and cheaper to get, though it might be outdated or too broad.

What is secondary data?

300

Watching shoppers walk through a store to see which displays catch their eye without asking them a single question.

What is observation (or observational research)?

300

Small text files stored on your web browser that let advertisers track which products you viewed and show you ads for them later.

What are cookies?

300

Before collecting personal tracking data on a website, companies are often legally required to let users actively do this—agreeing to cookies or email lists.

What is opt in (or give consent)?

400

Raw numbers and facts aren't useful on their own until analysts interpret them and turn them into these actionable takeaways for managers.

What are marketing insights (or actionable insights)?

400

 This type of data deals with numbers, percentages, and statistics—such as "72% of Gen Z shoppers prefer mobile checkout."

What is quantitative data?

400

Testing two different versions of an email subject line or website button to see which one gets more clicks.

What is an A/B test (or experimental research)?

400

 Tracking brand mentions, hashtags, and customer sentiment across TikTok, Instagram, and X is known by this two-word term.

What is social listening (or social monitoring)?

400

 If a hacker breaks into a company's MkIS database and steals customer credit card info, the company has suffered one of these.

What is a data breach?

500

This software component of an MkIS combines data and analytical models to help managers test "what-if" scenarios before making a major decision.

What is a Marketing Decision Support System (MDSS)?

500

 Instead of hard numbers, this type of data captures opinions, emotions, and the "why" behind consumer behavior.

What is qualitative data?

500

When you can't survey every single customer in your target market, you study this smaller, representative group instead.

What is a sample?

500

Netflix and Spotify use this type of predictive technology to analyze your past behavior and recommend what you'll watch or listen to next.

What are recommendation algorithms (or predictive analytics / AI)?

500

Only surveying shoppers at a mall at 2:00 PM on a Tuesday creates this type of error, because it leaves out students and full-time workers.

What is sampling bias (or a non-representative sample)?

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